Where The Wild Warnings Are Root Causes Of Chrome Google-Books Pdf

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with over two billion active users Altogether we expect these four. mitigations to replace about 25 of error warnings,Contributions Our primary contributions are. We collect and analyze a large scale longitudinal dataset of. certificate warnings encountered in the wild We perform. an in depth study of each class of error, To our knowledge we are the first to identify and quantify. the significant role that client and network misconfigurations. play in HTTPS error warnings, Among misconfigured sites we characterize the worst of. fenders the sites that cause the most certificate warnings in. Chrome This group is dominated by government websites. To our knowledge we are the first to deploy technical mea. sures to reduce the frequency of spurious HTTPS error warn Figure 1 An HTTPS warning in Chrome 58 The checkbox. ings Additionally we propose and discuss further mitiga controls whether a certificate error report is uploaded when. tions for future work the user encounters such a warning. 2 BACKGROUND 3 DATASET, HTTPS protects the integrity and confidentiality of web traffic in Millions of Google Chrome users volunteer to upload error reports. transit even in the presence of an active network attacker Historical when they encounter HTTPS or Safe Browsing warnings Our study. network attackers include governments ISPs roommates criminals is based on a large scale sample of these reports. on public networks and others, When a browser sets up an HTTPS connection with a server the 3 1 Our volunteers.
browser must check that it s communicating with the actual server. Users volunteer to share certificate error reports by checking a. and not a network attacker Without this identity check a network. checkbox on the HTTPS warning page Figure 1 Once checked. attacker could pretend to be the server to capture the decryption. the setting is remembered in a preference associated with the user s. key At a high level this process has three parts, Chrome profile The user can stop participating in the program. from Chrome settings or by un checking the checkbox on any. 1 At some point in the past the server administrator obtained subsequent warning page The same setting can be toggled by a. a certificate signed by a Certificate Authority CA similar checkbox on Safe Browsing warnings in Chrome 8. 2 After setting up a TCP connection the server provides the The size of our dataset a million reports a day suggests that. signed certificate to the browser it represents a large swath of browser users For privacy reasons. 3 The browser attempts to build a chain of trust from the however we intentionally do not analyze or retain identifying. certificate to a root certificate on the client The root trust information to try to characterize our volunteers discussed further. store on the client contains a set of root certificates from in Section 3 4. trusted CAs The browser also performs other checks e g to. make sure that the certificate has the appropriate hostname. 3 2 Sample dates and size, in it and that the certificate is not yet expired Any failure. means that the browser is unsure of the identity of the server We enabled the reporting service in Google Chrome 44 which was. This step is called certificate validation released to Chrome s stable channel in July 2015 We focus most. closely on the data from April 2016 through March 2017 which. we refer to as the Annual Reports sample containing 361 198 513. If everything goes well the HTTPS page loads If a certificate. validation check fails the browser shows an HTTPS error warning. All Google Chrome release channels canary dev beta and sta. Figure 1 without loading any of the page content, ble 2 upload reports Most users are on the stable channel which. TLS proxies slightly complicate this story A wide range of mid. enjoys wide deployment To avoid overwhelming our report pro. dleboxes e g corporate network firewalls and school content fil. cessing pipeline stable Chrome sends a given certificate report to. ters and software e g anti virus software and debugging tools. the server with only 20 probability For analysis purposes we. want to intercept HTTPS traffic for various legitimate purposes. restrict our discussion to reports from Chrome s stable channel. This is accomplished by installing a root certificate from the TLS. which we believe to be the most representative, proxy vendor into the client s trust store The proxy will then issue. new certificates for all of the client s incoming web traffic signed. by the proxy s root certificate This is a widespread but contentious 1 Unfortunately we cannot release the percentage of total Chrome browsing activity. that certificate warnings represent In prior work Akwahe et al found a false warning. practice because TLS proxies can introduce vulnerabilities 10. rate of 1 54 9,3 3 Report contents 3 5 Limitations.
Each Chrome certificate error report contains Field data has inherent limitations some of which we are able to. mitigate and some which we cannot Still we feel that the large. The hostname that the user was trying to access scale of our dataset and its in situ collection method yield results. The certificate chain that Chrome received from the server with strong ecological and external validity. The certificate chain that the client built while attempting. to validate the certificate 3 5 1 Active attacks An active network attacker could block. The user s local system time at the time the error occurred reports from being uploaded The absence of active attacks in our. The certificate validation error s that Chrome encountered dataset does not mean that active attacks do not occur For this. for example the certificate was expired or did not match reason we investigate unintentional misconfigurations rather than. the requested hostname attempting to uncover active attacks. Whether Chrome customized the warning page for the par 3 5 2 Upload failures In addition to active attacks various net. ticular type of error or showed a generic HTTPS warning work conditions can prevent reports from being uploaded If the. Whether the user clicked through the warning to continue upload fails Chrome does not persist or retry reports 2. to the site, The browser s User Agent string 3 5 3 Channel identification We want to restrict our analysis. Relevant Chrome field trials which are Chrome features to the stable channel which has the most representative user pop. enabled on an experimental basis 22 ulation Unfortunately we stripped the full version strings from. historical data Section 3 4 We therefore use a heuristic to identify. Notably each report contains two certificate chains the chain reports from the stable channel for a given date we only consider. presented by the server and the chain built by the client They can reports from that date s stable release or older For example the. differ for a variety of reasons One common example is that a server stable release on October 1 2016 was Chrome 53 so for that date. presented a chain to a root certificate that a client doesn t trust and we analyze reports from Chrome 53 or older We believe that this. the client tried to build an alternate path to a root that it does trust will filter out nearly all reports from non stable channels but a few. non stable reports might remain, 3 4 Privacy 3 5 4 Chromium forks Our dataset also contains a small num. Certificate error reports may contain private information For ex ber of reports from other browsers based on the Chromium source. ample a certificate from an intranet might include the name of the code3 Because we removed User Agent strings it is not possible. company s system administrator or a testing computer s hostname to remove these from the historical dataset We throttled Chrome. We take several steps to protect and respect our volunteers privacy stable reports to 20 but other Chromium browsers did not As a. result they are over represented in the dataset relative to reports. 3 4 1 No identifiers The reports are not associated or stored from official stable Chrome By inspecting User Agent strings from. with any user or client identifiers If someone uploads multiple May 2017 reports that have not yet been anonymized we believe. reports we do not associate the reports with the same user that less than 2 of reports come from other Chromium browsers. 3 5 5 Volunteer bias We receive reports only from people who. 3 4 2 Anonymous data retention We strip all potentially private choose to participate in the program It is possible that they are not. data from the reports after they are two weeks old We remove representative of all Chrome users However the considerable size. all certificate chains that have not been seen publicly by Google of our dataset suggests that it represents a large swath of browser. bot retaining only a SHA256 hash of the chain We retain publicly users. resolvable hostnames and generic identifiers like localhost other. wise we replace hostnames with coarse alternatives like Intranet 3 6 Telemetry data. host and Intranet IP We tokenize User Agent strings and retain. We supplement certificate error reports with a separate dataset of. only the major version number e g 58 rather than 58 0 3029 96. Chrome telemetry data Telemetry data includes pseudonymous. the locale the operating system and the platform, counts of browser events We rely on telemetry data to corroborate. patterns in our main dataset and analyze data that is not included. 3 4 3 Protection in transit The reports are protected in transit. in the certificate reports, on the network Because these reports are sent to help investigate. The telemetry and certificate upload services differ in two im. conditions that prevent the user from sending HTTPS requests. portant ways First telemetry reports are queued and retried every. the reports themselves cannot be reliably sent over HTTPS For. five to thirty minutes depending on the operating system and net. example if the user s local system clock is set incorrectly it may. work type if an attempt to send them fails This means that we. prevent a report about the condition from being sent to Google over. will reliably receive telemetry data but not error reports from. HTTPS because the connection to Google may appear to be using. clients with flaky network connections Second telemetry reports. an expired certificate Therefore Chrome sends reports to an HTTP. URL The report payload is encrypted with a public key that ships 2 We recently implemented a retry feature Since this feature was not present for most. with Chrome to prevent a network attacker from eavesdropping of the data analyzed in this work we exclude reports sent via retry from the analysis. 3 Examples include Iridum Browser https iridiumbrowser de and Amigo. on private information that may appear in the reports https amigo mail ru. are sent over HTTPS so we do not receive telemetry data from 4 1 1 Server date errors Certificates are only valid within a cer. clients that are persistently unable to send HTTPS requests tain date range A server date error occurs when a server uses a. We occasionally refer to Chrome telemetry data to study events certificate prematurely or past its expiration date If a client re. that are not captured by our main dataset of certificate reports For ports that a certificate was not yet valid or expired then we check. example certificate reports are not sent in cases where users do whether the Googlebot encountered the same problem on the re. not encounter certificate warnings so we use telemetry data to ported website in the previous thirty days If so we classify the. investigate HTTPS related events that do not trigger certificate error as caused by a server date error. 4 1 2 Server name mismatch errors Certificates are only valid. for the hostnames listed in the certificate The hostnames must be. 4 ERROR DEFINITIONS AND listed precisely or with a wildcard e g example com A server. CLASSIFICATION METHODS name mismatch error occurs when a server deploys a certificate. In this section we define the different types of errors give back without including the website s hostname or matching wildcard If. ground on their causes and describe our classification rules a client reports that a certificate is missing a hostname we check. To initiate the project a group of browser security experts man whether the Googlebot encountered the same problem on the web. ually investigated and labeled more than 2 000 reports over several site in the previous thirty days If so we classify the error as caused. months In some cases the error causes were obvious in others it by a server name mismatch. required research into network appliances and consumer software To understand why the error occurred we further look for. Based on our review experiences we wrote rules to automatically two developer mistakes that can lead to name mismatch errors. classify reports A daily analysis pipeline parses incoming certifi as previously identified by Akhawe et al 9 We look for two. cate error reports and applies our rules Our goal is to assign blame types of subdomain mismanagement www mismatch error and. server network or client misconfiguration and a specific root out of wildcard scope subdomain error A www mismatch error oc. cause Each report can contain multiple certificate validation errors curs when a client tries to visit example com but gets a certifi. and we attempt to assign blame and cause for all errors cate for www example com or the other way around An out of. wildcard scope subdomain error occurs when a client tries to visit. a b example com but gets a certificate for example com this. 4 1 Classifying server errors fails because wildcards only match a single DNS label level. A server error occurs when a server presents an invalid or incom. 4 1 3 Server authority invalid errors Certificates are only valid. plete certificate chain A properly configured client on a properly. if they chain to a trusted root A server authority invalid error occurs. configured network should be able to validate a server s certifi. when a server deploys a certificate that does not chain to a trusted. cate chain If it cannot then we blame the server for the error An. root for example a self signed certificate If a client reports that a. example is a server that presents a self signed certificate. certificate doesn t chain to a trusted root then we check whether the. When processing a report we check to see whether the Google. Googlebot encountered the same problem on the reported website. bot Google s web crawler has encountered any certificate errors. in the prior thirty days If so we classify the error as caused by. for that website within the past thirty days The Googlebot serves. a server authority invalid error We further identify self signed. as ground truth it is a properly configured client on a properly. certificates as a sub category of server authority invalid errors. configured network and it should be able to validate a server s. One notable decision relates to how we classify errors caused by. certificate chain If the Googlebot has seen a matching error for a. untrusted government operated roots Some government websites. website then we blame the server Googlebot does not necessarily. use government operated roots that are not included in standard. crawl every site every day so we use a thirty day window rather. root trust stores Citizens of these countries are expected to install. than a same day window to increase the chance that the Googlebot. these roots on their devices but in practice many people do not. has crawled a particular site within the window, Should we blame the server for using a non standard root or should.
Note that error reports include the server supplied chain Why. we blame clients for not installing the root We choose to designate. don t we use that instead of the Googlebot Theoretically we could. such errors as server errors, simply check whether the server supplied chain validates In prac. Our classification misses one category of server authority invalid. tice server supplied chains are unreliable due to TLS proxies Re. errors errors on intranet websites The Googlebot cannot reach. ports often contain certificates generated and signed by proxies. intranet websites for classification Since we cannot differentiate. and proxies often introduce certificate errors 10 To avoid mixing. between server client and network errors for intranet websites. server errors and network errors we use the Googlebot to tell us. we leave them as unclassified, what certificate chain the server was sending around that date One. potential concern is that the Googlebot might validate certificate 4 1 4 Server insufficient intermediates errors Servers are sup. chains differently from clients To verify our methodological choice posed to provide enough information for a client to build a full. we sampled 2 296 747 certificate chains from the Googlebot and chain from the leaf certificate to the trusted root certificate Typi. re validated them in Ubuntu and Windows The three platforms cally servers must provide intermediate certificates between the. agreed whether a chain should validate 99 87 of the time leaf and root A server insufficient intermediates error occurs when. Beyond placing blame on the server we further categorize server a client can t build a valid chain because the server didn t include. errors by the specific type of misconfiguration all of the necessary intermediate certificates. Insufficient intermediate errors are tricky for two reasons First until nearly the end of the period that we studied However we. they are context dependent If a client happens to have a missing in include an analysis of SHA 1 errors on a recent subset of the data. termediate cached from a previous website or if the client actively in Section 6 2 5. fetches the missing intermediate then the chain will appear valid. Second they look similar to server authority invalid errors in both 4 2 Classifying client errors. cases the client can t build a chain to a trusted root The distinction A client error occurs when a client cannot validate a certificate chain. is that chains with insufficient intermediates would validate on from a properly configured server A properly configured client. most clients if the server provided more information would be able to validate the same certificate chain We identify. If a client reports that a certificate doesn t chain to a trusted the following types of client errors. root we perform two steps First we check whether the Google. bot encountered the same problem on the reported website in the 4 2 1 Incorrect client clocks Certificates are only valid within. prior thirty days The Googlebot caches intermediates so websites a certain date range A client clock error occurs when a client s. with insufficient intermediate errors usually look error free to the clock is set too far in the future or past causing certificates to look. Googlebot This first check filters out server authority invalid er as if they are outside of their validity periods If a certificate date. rors If the certificate chain looks valid to the Googlebot we then error was not caused by a server misconfiguration we next check. attempt to build a chain using only the certificates that the server whether the reported certificate chain s dates are valid relative to. supplied to the Googlebot If the resulting chain doesn t validate our own server s clock If it is then we classify the error as caused. then we classify the error as caused by an insufficient intermediate by a client clock error. This heuristic can have false positives or false negatives 4 2 2 Anti virus errors Anti virus AV software commonly acts. as a TLS proxy in order to inspect HTTPS browser traffic An anti. A false positive happens if the client has a missing inter. virus error occurs when a bug in an AV proxy prevents clients. mediate cached which would allow the chain to validate. from establishing valid HTTPS connections During the course of. but something else coincidentally went wrong The server. manual review we observed several instances of AV errors When. really is missing an intermediate but it was not the cause of. a certificate report contains the name of a popular AV product. the error In July 2016 we manually reviewed 100 reports. Avast Kaspersky Bitdefender or Sophos in the certificate chain. classified as insufficient intermediates and found one false. the pipeline flags the report as an anti virus report. positive report, We do not use the AV label to automatically assign a root cause. A false negative happens if the server supplied certificates. AV product names appear in many reports that have other error. chain to a root that the Googlebot trusts but the client does. causes Each AV bug has had its own distinct signature which has. not For example a client might have an older trust store. prevented us from writing a single rule that captures this error class. that does not include a newer root that Googlebot trusts The. Instead we monitor the number of AV related reports If there is an. server might send a chain that is recognized by the newer. upswing we manually investigate the situation Several times these. trust store but if the server neglects to send a cross sign. upswings have turned out to be bugs in AV products Section 7 2. certificate linking the newer root to an older root in the. client s trust store then the client will be unable to validate. the chain unless it happens to have the cross sign certificate 4 3 Classifying network errors. cached In this case we will leave the report as unclassified A network error occurs when a network appliance intercepts an. We observed 5 false negatives when manually reviewing 100 HTTPS connection and replaces the certificate chain with one that. unclassified reports Section 9 the client cannot validate Our pipeline classifies the following types. We classify insufficient intermediates as a server problem be of network errors. cause servers are supposed to supply intermediates as per RFC. 4 3 1 Captive portal errors Airport hotel and enterprise net. 5246 11 However one could argue that they are a client prob. works often block access to the Internet until the user has authen. lem because clients can dynamically fetch intermediate certificates. ticated Network access points that enforce this requirement are. Some web browsers already do this as needed Was the server mis. known as captive portals A captive portal error occurs when a cap. configured because it didn t send the intermediates or was the. tive portal intercepts TCP packets or DNS queries to redirect HTTPS. client misconfigured because it didn t fetch them We label insuffi. traffic to the captive portal s login page This behavior causes a. cient intermediates as server errors because they violate the HTTPS. name mismatch error because the hostname that the browser re. specification but the alternate perspective is also reasonable. quested does not match the certificate presented by the login page. 4 1 5 Server SHA 1 errors Certificates signed with the outdated When a Chrome user encounters a name mismatch error Chrome. SHA 1 hash algorithm are no longer considered secure and Chrome sends a probe request to an endpoint with a known response If the. has gradually phased out support for SHA 1 over the past few response is unexpected as it would be when redirected to a captive. years 17 As of Chrome 57 users see certificate errors for any site portal login page then Chrome prompts the user to log in to the. with a SHA 1 signature in its certificate chain We do not include captive portal Certificate reports contain a flag to indicate whether. SHA 1 errors in our automated analysis pipeline or in the bulk such a prompt was shown. of our analysis because Chrome s SHA 1 support changed over The pipeline does not classify an error as a captive portal error. the course of our dataset and the algorithm was not fully blocked solely because the report says that Chrome detected a captive portal. errors 9 12 14 18 However we find that client and network. problems are at least as influential as server misconfigurations Of. the reports that we can automatically classify half are server errors. 31 2 of all reports and half are client or network errors 31 6. of all reports Per a manual review the unclassified reports are. even more weighted towards non server errors Section 9 Figure 2. shows the percentage of all reports with at least one labeled client. or network error as per the analysis pipeline Client and network. misconfigurations are more problematic for Chrome users on Win. dows than on other platforms primarily due to the prevalence of. misconfigured client clocks on Windows Section 7 1. A small number of root causes account for a large amount. of spurious warnings If the most common root causes could be. addressed a large chunk of spurious warnings would disappear For. Windows client clock errors account for more than 30 of all cer. Figure 2 Percentage of reports with at least one error caused tificate warnings Similarly on Android insufficient intermediates. by the client or network broken down by platform 4 cause more than 35 of certificate warnings We therefore target. these influential errors when building mitigations Section 10. We also find that government websites are disproportionately. We found that the captive portal probe has a high false positive responsible for server errors Fixing this is beyond the scope of our. rate which we discuss further in Section 8 1 work but we urge citizens to voice concerns. Instead the pipeline produces a weekly list of the most common. certificate chains in captive portal error reports We manually curate 6 SERVER ERRORS. them to maintain an ongoing list of the common captive portal. We want to answer two research questions 1 Are some types. vendors Whenever a name mismatch error appears for one of these. of sites more prone to server errors 2 Are some types of server. known captive portal certificates the pipeline marks the error as. errors more common than others, caused by a captive portal Unfortunately the ongoing expansion of. To answer these questions we take a closer look at the reports. the captive portal list makes it difficult to compare the frequency of. that our pipeline labeled as server errors, captive portal errors across time because we do not re label reports.
retroactively after new captive portals have been identified. 6 1 Types of sites with server errors, 4 3 2 Missing TLS proxy roots Enterprises schools and other Government run websites with server errors are responsible for. entities commonly install network middleboxes that intercept TLS a disproportionate number of HTTPS errors We selected the 100. connections Devices on these networks are expected to have the sites with the most server error reports in the Annual Reports. middlebox s root certificate installed but in practice this is not sample and manually assigned category labels to them To obtain. always the case A missing TLS proxy root error occurs when a this list of sites we grouped reports by their hostname and then. user skips installing the root and tries to visit a website that is took the 100 hostnames with the most reports classified by our. intercepted by the proxy analysis pipeline as caused by a server error Table 2 shows this top. When an authority invalid error does not appear to be a server 100 by category 65 of the worst offenders are government run. error we compare the reported certificate chain against a list of websites They exhibit a range of misconfigurations ranging from. TLS proxy products We compiled this list by manually inspecting hostname mismatches to revoked certificates. a sample of certificate reports The list includes Fortigate Fortinet During this time period we reached out to three national gov. Cyberoam Cisco Umbrella Bluecoat and McAfee Web Gateway If ernments to notify them of the problem The U S government was. the name of any of these vendors appears in the certificate chain responsive and fixed misconfigurations on several dozen sites. we classify the error as caused by a missing TLS proxy root. 6 2 Types of common server errors, 5 OVERVIEW OF RESULTS Table 1 shows the frequency of different types of server errors. This section provides an overview of our dataset and main findings Insufficient intermediates are the leading cause of server errors. In Sections 6 9 we discuss the most common server client and and they are primarily seen on Android. network errors in more detail, 6 2 1 Insufficient intermediates Insufficient intermediates are a. We can automatically classify two thirds of reports Our anal large problem on Android where they are responsible for 36 of. ysis pipeline assigned at least one root cause to 62 8 of the Annual HTTPS error reports This class of error is much less common on. Reports sample The impact of each root cause is shown in Table 1 other operating systems Chrome relies on the operating system for. 4 The February 2017 dip in non server errors on Windows is due to a Chrome bug that. Client and network errors play a large role in HTTPS error was pulled into a Chromium fork at that time The bug triggered warnings on many. warnings Prior work emphasized the role of developers in HTTPS popular websites that were not classified by our pipeline. Table 1 Percentage of reports with each root cause in the Annual Reports sample A report can have multiple errors and root. causes Each cell is the percentage of the total Annual Reports sample that was labeled with the row s root cause. Windows Mac OS ChromeOS Android,Server errors,Insufficient intermediates 1 26 4 80 0 783 35 8. Authority invalid 6 11 5 54 3 49 6 01,Name mismatch 11 7 11 6 7 59 9 77.
Date error 4 23 4 39 2 80 2 73,Client errors,Incorrect system clock 33 5 8 71 1 72 8 46. Network errors,Captive portal 0 925 5 46 4 57 2 11. Missing TLS proxy root 6 57 3 34 9 13 1 16, Table 2 Breakdown of the 100 worst offenders the sites. with server errors that generated the most reports. Category Number of sites,Government 65,Education 7. Malware associated advertising 4,E commerce 3,File sharing 3.
Telecommunications 3, certificate validation and Android doesn t use authorityInfoAccess. AIA fetching to dynamically fetch intermediates while verifying Figure 3 CDF of the amount of time by which certificates. the certificate Windows Mac and Chrome OS do implement AIA are expired X axis is log scale. fetching Sites whose certificates validate in Chrome on other op. erating systems will fail to validate on Android unless the device. already has the intermediates cached from prior connections to server name mismatch errors were www mismatches and 13 2. other websites This is likely also a problem in Mozilla Firefox were out of wildcard scope subdomains. which doesn t perform AIA fetching on any operating system 6 2 3 Authority invalid errors In the Annual Reports sample. These misconfigurations fall into two categories 18 3 of server authority invalid errors excluding those caused by. 1 The server sends only a single leaf certificate insufficient intermediates were for self signed certificates. 2 The server sends some intermediates but they are the wrong We also consider the proportion of errors that occur on intranet. intermediates or not the full set For example the server hosts We generally do not classify errors for intranet hosts as. might send intermediates that chain to a root that is not server errors because the Googlebot cannot contact these hosts. widely trusted but neglect to send a cross sign certificate to determine whether the server is properly configured However. that chains that root to a more widely trusted root 4 5 3 of all authority invalid errors during this time period were. The first category a single leaf certificate dominates The for intranet hostnames or non routable IP addresses We therefore. server sent only a single certificate in 87 3 of the insufficient suspect that intranet hosts with invalid certificates are a common. intermediate errors from the Annual Reports sample This suggests source of certificate errors but it is difficult to say for sure because. that the problem is largely caused by server operators that are not some of this 5 3 could have been caused by client or network. aware that they should serve intermediates along with the leaf or misconfigurations e g misconfigured corporate middleboxes. don t know how, 6 2 4 Server date errors Virtually all server date errors are. 6 2 2 Name mismatch errors Akhawe et al previously found caused by expired certificates rather than certificates that are not. that name mismatches are commonly due to subdomain misman yet valid Figure 3 shows the distribution of these expired certifi. agement 9 We consider two cases that are of interest www cates relative to the time at which a report was received Notably. mismatches and out of wildcard scope subdomains both of which 57 of certificate reports were expired by less than 30 days and. are defined in Section 4 1 2 In the Annual Reports sample 3 7 of 75 by less than 120 days. software licensing restrictions or to cheat in games Incorrect sys. tem clocks are a common complaint associated with malware on. online help forums 5 25 but the phenomenon of malware inter. fering with system clocks is not to our knowledge well studied We. also suspect that some incorrect client clocks are due to hardware. issues like dying CMOS batteries, Site owners need to manage certificates carefully to avoid break. age due to client clocks Figure 2 shows a spike in client caused. errors on Windows in September 2016 This spike corresponded to a. short notice rollout of newly issued Google certificates Certificates. that are used close to their issuance date fall afoul of misconfigured. client clocks more often because the clock is more likely to fall. before the certificate s validity period begins,7 2 Anti virus. Consumer anti virus products commonly install root certificates. Figure 4 CDF of client clock skews for client clocks that are and intercept TLS connections to look for suspicious traffic 6 26. in the past from a sample of 100 000 certificate reports We Bugs in their TLS interception may cause HTTPS error warnings. only include reports where the client clock was at least 24 We have observed high impact instances of these bugs. hours behind and no more than 3 months behind X axis is Though touted as a security feature the practice of TLS inter. log scale ception has numerous downsides from a security perspective. TLS interception opens the door for misconfigurations that. 6 2 5 Server SHA 1 errors As discussed in Section 4 1 5 our cause spurious certificate warnings Even small logic bugs. analysis pipeline does not automatically classify SHA 1 errors be can cause HTTPS errors These bugs and misconfigurations. cause Chrome did not fully block SHA 1 certificates until near the often have the unfortunate property that they affect every. end of the Annual Reports time period We retroactively identified single HTTPS site that a user visits even stymying a user s. server SHA 1 errors from the February March 2017 subset of the ability to search for help. Annual Reports sample covering Chrome 56 and 57 Chrome 56 When a locally installed root of trust is in use Chrome dis. removed SHA 1 support for publicly trusted roots and was released ables various certificate validation and TLS security checks. to the stable channel in late January 2017 Chrome 57 was released that cannot reasonably be enforced for local roots such as. in mid March and removed SHA 1 support for all certificate chains HTTP Public Key Pinning 7 Most proxies do not imple. including locally installed roots During this time period server ment these checks themselves and in many cases do not. SHA 1 errors accounted for 9 4 of all certificate reports By June perform even basic certificate validation leaving the user. 2017 Chrome 59 server SHA 1 errors declined to 2 7 of all re vulnerable to attack 13 24. ports As one example of a high impact anti virus issue we discovered. a bug in Avast that temporarily caused widespread HTTPS error. 7 CLIENT ERRORS warnings In September 2015 we noticed a large number of reports. Various conditions on end user machines can cause spurious HTTPS for certificate date errors on properly configured sites The certifi. warnings These misconfigurations can result from seemingly in cates in the reports chained to expired Avast roots We estimated. nocuous changes to system settings or from users installing mal an impact of about 1 5 million certificate warnings per week The. ware debugging tools and even security products In this section cause was that Avast s software was generating a root certificate on. we discuss the most problematic client misconfigurations installation using the system clock s time If the clock was wrong at. installation time and then later corrected Avast would continue to. 7 1 Client clocks intercept TLS connections with an expired root certificate This led. Client clock problems are widespread particularly on Windows Avast users to see HTTPS error warnings on every site they visited. Table 1 shows the relative frequency of clock errors We reported the bug to Avast and they quickly pushed an update. How far off are client clocks Nearly all incorrect client clocks that fixed the bug by querying a server for an accurate timestamp. in our dataset are in the near past In the Annual Reports sample to use when generating a root certificate. the client clock was more than 24 hours behind in 6 7 of reports Another example is that anti virus products might generate cer. and more than 24 hours ahead in 0 05 of reports Of reports where tificates that were once valid but are no longer accepted by Chrome. the client clock was off by more than 24 hours in either direction either because the anti virus product is out of date or because its. 99 8 were within 3 months of true time Figure 4 shows the CDF maintainers are not keeping up with best practices For example. of the client clock skew from a random sample of 100 000 reports in a manual inspection of unclassified reports Section 9 we en. Why are clocks so frequently misconfigured We are unsure countered anti virus products that use SHA 1 signatures SHA 1. Users might manually set their clocks incorrectly to get around signatures are no longer considered valid in Chrome. 8 NETWORK ERRORS Table 3 The top five most common captive portal vendors. in certificate reports from Sept 13 Oct 10 2016, Network errors are an especially interesting and challenging class.
of error HTTPS is designed to prevent network actors from in. tercepting HTTPS yet there are several common use cases where Captive portal vendor Percent of all reports. network appliances attempt to do this Whether this interception Aruba Networks 0 95. is benign or malicious depends on how much the user trusts the Orange France 0 14. network appliance owner and his her intentions AlwaysOn 0 12. GlobalSuite 0 09,AccessNetwork ru 0 09,8 1 Captive portals. Captive portals cause name mismatch errors when users first con. nect to a network that requires authentication We find that captive. 8 2 TLS proxying, portals are one of the smaller error causes but we are likely under. counting them because they are difficult to automatically identify Enterprises schools and even home networks often have middle. On some operating systems Chrome uses a standard captive boxes that intercept TLS connections using their own root certifi. portal detection technique of sending network probes These op cates which are intended to be installed on devices on the network. erating systems are Windows 7 and below Mac OS Chrome OS These middleboxes introduce many of the same security problems. and Linux On other OSes Chrome relies on the system s captive that consumer anti virus introduces As discussed in Section 7 2. portal detection to detect the portal and prompt the user to log in TLS proxies on both the client and the network override Chrome s. We find that Chrome s technique suffers from both false positives security checks and can introduce bugs that cause error warnings. and false negatives We find that missing roots for network middleboxes are a wide. spread problem Our pipeline classifies such errors by looking for. A false positive occurs when Chrome s probe request de several popular middlebox product names in the certificate chain. tects a captive portal but there was no captive portal We as described in Section 4 3 2 Table 1 shows the relative frequency. manually reviewed 100 reports from May 2017 and found 34 of this error class Our classification is conservative when we re. false positives We attribute most of them to home routers viewed unclassified reports Section 9 we found that many are. and enterprise middleboxes which interfere with the probe due to other TLS proxy products not covered by our rules. request despite not being traditional captive portals Missing root certificates cause the vast majority of certificate. A false negative occurs when Chrome s probe request fails to errors that users of these products encounter For each of these. detect a captive portal Of the captive portal errors caught by products more than 80 of certificate errors chaining to the prod. our human curated rules described in Section 4 3 1 30 1 uct s certificate were caused by a missing root When a user of one. were not identified by Chrome We attribute the high false of these products sees a certificate error it is very likely to be due. negative rate to slow captive portals According to Chrome to a missing root rather than any other cause. telemetry only 54 of captive portal probe requests respond In addition to missing roots we observe by manual review that. within 3 seconds which is the maximum amount of time TLS proxies introduce spurious certificate warnings by means of. that Chrome will wait for a probe to respond before drawing other misconfigurations as well For example some middleboxes. error UI Moreover a preliminary survey of captive portals in use SHA 1 signatures which Chrome no longer accepts as valid. Japan suggest that some portals intentionally evade detection. for unknown reasons 20 9 UNCLASSIFIED ERRORS, Our findings show that using network probes to detect captive Our analysis pipeline does not automatically assign a root cause for. portals is difficult and unreliable In addition we believe that we are 37 of reports To characterize the unclassified reports we manually. missing error reports from many captive portals A captive portal reviewed a random sample of 100 unclassified reports from May. typically blocks reports from being sent until the user has logged 2017 We reviewed recent reports that had not yet been stripped of. in to the portal Since Chrome did not retry failed report uploads details since otherwise it would be difficult to investigate the cause. until very recently we do not expect to receive reports that were of a report Table 4 shows the results When the pipeline does not. blocked by captive portals We only receive such reports when the automatically assign a root cause it is often because the report is. portal does not block the upload for some reason or when the for a site about which Googlebot has no data e g an intranet site. user authenticates with the portal before the certificate warning or because the error was caused by a TLS proxy or captive portal. is dismissed Therefore we suspect that the fraction of certificate that our pipeline does not look for As described in Section 4 1 5. errors caused by captive portals as shown in Table 1 significantly our pipeline does not yet attempt to assign root cause for certificate. undercounts the problems that they cause warnings that are due to SHA 1 signatures because Chrome had. Of the captive portal reports that we do receive interestingly a not yet fully removed SHA 1 support during most of our dataset. large number of them share the same few certificate chains from a Our manual analysis revealed more client and network mis. handful of captive portal vendors as shown in Table 3 This gives configurations than server misconfigurations We anticipated this. some hope that if a small number of vendors adopted better cap finding because our automatic analysis shows an even breakdown. tive portal implementations that did not cause spurious certificate between client network and server misconfigurations but with a. warnings the problem could be significantly alleviated known under count of captive portal errors. Table 4 Manually assigned root causes from a random sam. ple of 100 reports in May 2017 for which our analysis. pipeline did not automatically assign a root cause. Error cause from manual inspection Count,Server errors. Server certificate uses weak signature algorithm 10. Server certificate has a name mismatch 9,Insufficient intermediates 5.
Government root certificate that isn t widely trusted 5. Intranet IP without valid cert 4,Server certificate chains to distrusted root 2. Server certificate has multiple errors 2,Network errors. Captive portal 22 Figure 5 The UI that Chrome shows when it detects that a. Corporate middlebox 8 certificate error is caused by a client clock error. School middlebox 7,Misconfigured home router 4,Other middlebox 3. was not satisfactory we built and evaluated a replacement secure. time service,Client errors, Old or corrupted root store 2 10 1 1 Build time heuristic Chrome s build time heuristic com. Ad blocker or anti virus using weak signatures 2 pares the current system time to the binary build time If the system. Expired anti virus root 1 time is either one year behind the build timestamp or more than. Local server 1 two days ahead of it then Chrome will show the clock warning. Incorrect clock 1 when it encounters a certificate date error. Total 7 We find that the build time heuristic has many false negatives. Unknown 12 We are able to evaluate it post hoc by looking at the client time in. the reports From April 30 to May 13 2017 the heuristic only de. tected 68 of certificate errors that were caused by incorrect client. clocks For the remainder Chrome showed the generic certificate. 10 MITIGATIONS warning This suggested to us that we needed to improve client. Our ultimate goal is to stop showing unnecessary HTTPS error clock detection beyond the build time heuristic. warnings In this section we propose discuss and evaluate mitiga When the heuristic is able to identify a client clock error the. tions for many of the misconfigurations that cause Chrome users UI Figure 5 proves helpful In 53 of reports associated with this. to see unnecessary warnings We expect that these mitigations will UI the user changed their clock by at least 6 hours before the. or have already replaced about 25 of certificate errors in Chrome warning was dismissed This compares to 3 9 of the time when. When possible we would like to avoid showing any error UI at Chrome showed a generic certificate warning for client clock errors. all Ideally browsers would be able to automatically correct or work We interpret this to mean that actionable errors are in fact more. around the misconfiguration in a way that is invisible to the end user helpful than generic security warnings. When that isn t possible we aim to replace certificate warnings with. actionable non scary explanations of the error These explanations 10 1 2 Secure time To improve client clock error detection we. should pinpoint the cause of the error and prompt the user to fix it implemented a secure time service that Chrome queries when it. Both approaches require caution because attackers can make their encounters a certificate date error Upon encountering a certificate. attacks look like misconfigurations We therefore must ensure that with invalid dates Chrome queries an update server for the current. our mitigations are not advantageous to attackers time an HTTP URL with the response signed by the private key. corresponding to a public key baked into Chrome and delays. showing a warning for up to three seconds If the query returns. 10 1 Stopping client clock errors within three seconds and indicates a timestamp that is significantly. We tackled client clock errors by implementing a special warning to skewed from the local system clock then Chrome shows the clock. show when the user s clock is wrong Figure 5 To prevent attackers warning from Figure 5. from leveraging this less scary UI users cannot click through An analysis of certificate reports from an experimental launch. they have to fix their clocks to get to the site We built this warning shows that the secure time service improves detection of client clock. by using a heuristic based on the build time to guess when the errors to 96 with 93 of queries to the time service completing in. clock is wrong We then used our dataset of certificate reports to under three seconds Even if a query does not complete within three. investigate the effectiveness of the heuristic Since its performance seconds the result once eventually received will be cached. 10 2 1 Shipping known captive portals Our analysis pipeline. produces a list of candidate captive portal certificates which we. manually curate each week to produce a list of known captive. portals Section 8 1 By shipping this list in Chrome and using it to. supplement captive portal detection we would nearly double the. detection rate of certificate errors caused by captive portals We. implemented this by putting the captive portal list in a dynamically. updateable Chrome component so that additions to the list can. be shipped to clients on an ongoing basis without being tied to. the release cycle We launched this feature as an experiment on. Chrome s canary and dev channels Telemetry from this experiment. shows that 3 8 of name mismatch errors match a captive portal. Figure 6 The warning that Chrome shows when it detects certificate on the list and we plan to expand the experiment. that a certificate error is caused by a captive portal. 10 2 2 Certificate report retry We would like to retry report up. loads similar to Chrome s telemetry system to get better visibility. into captive portals Retrying would allow us to receive reports. for use if subsequent certificate date errors are encountered The caused by captive portals even if the captive portal prevents them. secure time feature launched to Chrome stable in May 2017 from being sent until after the user authenticates with the portal. We implemented report retries using the same logic that Chrome s. 10 1 3 Future work We would ultimately like to invisibly cor telemetry system uses though we maintain reports in memory. rect client clock errors To do this Chrome would need to use the only and do not persist them to disk The implementation is not yet. timestamp fetched from the secure time service for all certificate widely deployed enough to report results but we hope to gain a. validations This would stop the errors without needing any error more accurate picture of certificate errors caused by captive portals. UI However the challenges in doing so are twofold It should also help us expand our list of known captive portals. 1 Chrome relies on the platform s certificate validation library. On some platforms it is not possible to provide a time other 10 3 AIA fetching on Android. than the system time as input to certificate validation Using Insufficient intermediates are a large problem on Chrome for An. a timestamp from the secure time service would require droid accounting for 36 of all certificate warnings on Android. Chrome to implement its own certificate validation This happens because the platform does not fetch intermediates as. 2 Even though Chrome could invisibly correct the misconfigu other platforms do during certificate validation. ration by using the timestamp fetched from the secure time To work around this we implemented AIA fetching in Chrome. service for certificate validation it might still be desirable for Android When the platform certificate verifier returns an au. to alert the user to the problem so that they can fix the sys thority invalid error Chrome looks at the last certificate for which. tem clock Other applications on the user s device might there is no issuer in the server sent chain If this certificate has. be functioning incorrectly because of the incorrect system an AIA URL Chrome fetches it and again attempts a platform cer. time We might want to devise some way to prompt the user tificate verification If it again fails Chrome repeats the process. to fix their system clock without interrupting their normal until a valid certificate chain has been found or until exhausting a. browsing as the clock error UI currently does maximum number of fetches. AIA fetching is implemented in Chrome 58 Since this feature. Another area of future work is to reduce trust in Chrome s update. launched the percentage of certificate errors caused by missing. server Instead of using an update server as the secure time service. intermediates on Android has steadily declined to 3 0 as of August. Chrome could implement a protocol such as Roughtime 3 for. 2017 The remaining errors are likely due to network flakiness. secure decentralized time synchronization, which could potentially be improved by retrying failed AIA fetches.
10 2 Captive portal detection 10 3 1 Future work If the Android certificate verifier directly. Chrome sends network probes to attempt to detect captive portals supported AIA fetching then it would likely be more performant. If a captive portal is detected Chrome displays a special captive than implementing it in Chrome Android support for AIA fetching. portal error UI as shown in Figure 6 instead of a security warning would also benefit other Android applications besides Chrome. We consider this actionable message to be a significantly better user However Android update cycles are much slower than Chrome s. experience than showing the generic certificate warning However so Chrome on Android is likely to need to support AIA fetching. we found that the probe request has high false positive and false for the foreseeable future. negative rates Section 8 1, Industry standards groups are working on improved solutions 10 4 Redirecting for related name mismatches. for captive portal discovery 1 but these solutions will take time Name mismatch errors account for a notable fraction of errors We. to develop and roll out In the meantime we implemented two would like for the browser to handle this class of error automatically. improvements to Chrome s captive portal logic The core idea is to redirect the user to the domain with a valid. certificate if a the redirection is safe and b we think that is likely 11 RELATED WORK. where the user wants to go We must be cautious with redirections In this section we survey other studies of HTTPS errors and mis. because different subdomains can be controlled by different people configurations and compare them to our work. We decided to start with www mismatch errors which are. responsible for a small percentage of certificate name mismatches 11 1 Studies of HTTPS errors. Section 6 2 2 We felt that the risk was low given some browser. Our dataset differs from prior work because it includes non server. display logic already assumes that the www subdomain and TLD. errors and a global perspective further we deploy solutions. are operated by the same party When Chrome encounters a name. mismatch error for www example com it issues a background re 11 1 1 Warnings in the field Akhawe et al were the first to. quest to example com or the other way around If the background study the causes of HTTPS warnings in the field 9 They moni. request responds within three seconds with an HTTP 200 status tored network traffic from the egress points of ten U S research. code then Chrome redirects the user there We also place a message government and university networks Their study had a popula. in the developer console to alert the site owner to the misconfigu tion of 300 000 users over a nine month period They identified. ration self signed certificates expired certificates name mismatches re. Chrome telemetry data shows that this redirection occurs for lated to subdomains and incomplete chains as causes of TLS errors. 1 8 of all name mismatch errors A www mismatch is found but These prior findings did not encompass our experience working. the redirect URL is not available for 0 28 of name mismatch errors in support forums where people commonly report issues due to. Although 1 8 is small we consider this a success We are consider client misconfigurations and network interference We were there. ing expanding the redirection to include other sets of subdomains fore concerned that the study s results were only part of the picture. such as redirecting m example com to example com due to several limitations. They had to emulate browser behavior which does not nec. 10 5 Future mitigations essarily represent the user experience Client side problems. To continue tackling causes of spurious certificate warnings we are not captured using their method Further they couldn t. are planning to explore several mitigations and research directions handle connections with the SNI extension which eliminated. 38 of the HTTPS connections that they saw, 10 5 1 Government roots Our manual classification Section 9. Their observed population isn t representative All of the. finds that servers commonly use government root certificates that. monitored users were highly educated and in the U S likely. are not widely trusted by clients When Chrome encounters an. using high end devices Other populations visit different web. authority invalid error for a certificate that chains to a known. pages on different devices, government root the warning UI could direct the user to a webpage. Their observed networks aren t representative They studied. that explains what the government root is and how to install it. well behaved well managed networks with relationships to. The primary challenge in implementing this mitigation is the. their research institution These networks lack the content. messaging and UX Installing a government root certificate can be. filters broken firewalls and other types of proxies that one. risky for some users for example if they don t trust the govern. might expect to see on messier networks, ment in question or if the government does not operate its root. in accordance with industry standards Chrome should provide Inspired by this research we performed a similar study from a. information about how to fix the error without encouraging users more advantageous vantage point a popular web browser Our. to install a root that they might not fully trust data comes from a global population connecting over many types. of networks The reports include browser data so that we know. 10 5 2 TLS proxy roots In Section 8 2 we noted that a signifi exactly what the end user saw in the warning Some of our find. cant fraction of errors are caused by a small number of TLS proxy ings coincided e g the importance of incomplete chains but as. products Chrome could look for these product names in the issuer expected we found substantially more problems due to client and. strings of certificates that generate errors However it is unclear network misconfigurations Additionally we implemented mitiga. what Chrome should do if it detects that an error is possibly due to tions for several of the problems that we identified. a missing TLS proxy root One option would be to prompt the user. to contact a network administrator 11 1 2 Network scans One way to learn about HTTPS errors. is to scan large sets of servers looking for misconfigurations that. 10 5 3 Outreach for misconfigured servers Prior work has inves cause errors Holz et al repeatedly scanned the Alexa Top Million. tigated the effectiveness of notifying site owners about web server in 2011 finding that 18 of server certificates are expired and about. hijacking 21 Similar studies could be undertaken for HTTPS a third are self signed 18 In 2013 Durumeric et al performed. misconfigurations For example 110 Internet wide scans over fourteen months reporting that 6. Are site owners more likely to correct misconfigurations if of certificate chains are expired and 6 4 have missing or wrong. they receive email messages about them rather than just intermediates 12. browser warnings We find a different ratio of error causes likely due to our differ. Are email messages more effective if they contain an estimate ent perspectives Server scans weigh all servers equally which is. of the number of warnings Chrome has shown for the site appropriate if one is trying to understand the types of errors that. Are email messages more effective if they include instruc developers make as these previous studies were However we are. tions about how to fix the misconfiguration concerned with the user experience in which some sites are viewed. much more often than others Further server scans naturally do REFERENCES. not include network and client problems 1 n d Captive Portal Interaction capport https datatracker ietf org wg. capport about, 11 1 3 Developer motivations Why do server misconfigurations 2 n d Chrome Release Channels https www chromium org getting involved.
dev channel, happen Given browser warnings it is surprising that web devel 3 n d Roughtime https roughtime googlesource com roughtime. opers allow server misconfigurations to occur and linger Fahl et al 4 2014 Comodo EV Chain Issues https community qualys com thread 13775. surveyed 755 web developers about why they have certificate errors comment 24990. 5 2015 Kaspersky Lab Forum clock is being changed by virus https forum. on their websites 14 A third of developers said they had made a kaspersky com index php showtopic 289198. mistake but two thirds intentionally deployed non validating cer 6 2016 HTTPS websites fail to load or you receive the error message Connection is. tificates Their reasons included testing and development servers untrusted when using your web browser with ESET products http support eset. com kb3126 locale en US, don t need HTTPS the cost of certificates lack of trust in Certificate 7 2017 The Chromium Projects Security FAQ https. Authorities the URL wasn t meant to be accessed by end users and www chromium org Home chromium security security faq. TOC How does key pinning interact with local proxies and filters. the site was no longer operational 8 2017 Google Chrome Privacy Whitepaper Safe Browsing protection https. www google com chrome browser privacy whitepaper html malware. 11 2 Studies of TLS proxies 9 Devdatta Akhawe Bernhard Amann Matthias Vallentin and Robin Sommer 2013. Here s My Cert So Trust Me Maybe Understanding TLS Errors on the Web In. According to two studies TLS proxies are widespread Approx Proceedings of the 22Nd International Conference on World Wide Web WWW 13. imately 0 2 of TLS connections to Facebook are transparently ACM New York NY USA 59 70 https doi org 10 1145 2488388 2488395. 10 Xavier de Carn de Carnavalet and Mohammad Mannan 2016 Killed by Proxy. proxied 19 and a broader study found that 0 41 of TLS con Analyzing Client end TLS Interception Software In NDSS. nections in general were proxied 23 They identified anti virus 11 T Dierks and E Rescorla 2008 The Transport Layer Security TLS Protocol Version. software firewalls malware parental controls and enterprise filters 1 2 https tools ietf org html rfc5246 section 7 4 2. 12 Zakir Durumeric James Kasten Michael Bailey and J Alex Halderman 2013. as common types of proxies We looked for these types of proxies Analysis of the HTTPS Certificate Ecosystem In Proceedings of the 2013 Confer. and find that they are also major sources of errors ence on Internet Measurement Conference IMC 13 ACM New York NY USA. Our research question is essentially the complement of these 291 304 https doi org 10 1145 2504730 2504755. 13 Zakir Durumeric Zane Ma Drew Springall Richard Barnes Nick Sullivan Elie. studies They investigated how often TLS connections are silently Bursztein Michael Bailey J Alex Halderman and Vern Paxson 2017 The Security. intercepted whereas we aim to identify the causes of user visible Impact of HTTPS Interception In Network and Distributed Systems Symposium. warnings Their methodologies excluded most TLS connections 14 Sascha Fahl Yasemin Acar Henning Perl and Matthew Smith 2014 Why Eve. with warnings because users had to visit the target websites for their and Mallory Also Love Webmasters A Study on the Root Causes of SSL Miscon. analysis code to run Modern browsers disallow clicking through figurations In Proceedings of the 9th ACM Symposium on Information Computer. and Communications Security ASIA CCS 14 ACM New York NY USA 507 512. warnings on facebook com due to HSTS thereby excluding those https doi org 10 1145 2590296 2590341. connections from the Facebook dataset The broader study likely 15 Adrienne Porter Felt Alex Ainslie Robert W Reeder Sunny Consolvo Somas. included some connections with warnings but high warning ad Thyagaraja Alan Bettes Helen Harris and Jeff Grimes 2015 Improving SSL. Warnings Comprehension and Adherence In Proceedings of the 33rd Annual. herence rates e g 70 for Chrome 29 mean that most would be ACM Conference on Human Factors in Computing Systems CHI 15 ACM New. filtered from their dataset Further neither study included websites York NY USA 2893 2902 https doi org 10 1145 2702123 2702442. 16 Adrienne Porter Felt Robert W Reeder Hazim Almuhimedi and Sunny Consolvo. with server misconfigurations In contrast our dataset represents 2014 Experimenting at Scale with Google Chrome s SSL Warning In Proceedings. the full spectrum of failed TLS connections of the SIGCHI Conference on Human Factors in Computing Systems CHI 14 ACM. New York NY USA 2667 2670 https doi org 10 1145 2556288 2557292. 17 Lucas Garron and David Benjamin 2015 An update on SHA 1. 12 CONCLUSION certificates in Chrome https security googleblog com 2015 12. In an attack scenario it is critical that users heed HTTPS certificate an update on sha 1 certificates in html. 18 Ralph Holz Lothar Braun Nils Kammenhuber and Georg Carle 2011 The SSL. error warnings Large numbers of false alarms make it less likely Landscape A Thorough Analysis of the x 509 PKI Using Active and Passive. that they will do so 28 30 Spurious warnings also create a poor Measurements In Proceedings of the 2011 ACM SIGCOMM Conference on Internet. user experience and hinder HTTPS adoption Measurement Conference IMC 11 ACM New York NY USA 427 444 https. doi org 10 1145 2068816 2068856, In this paper we have shown that client and network misconfigu 19 Lin Shung Huang Alex Rice Erling Ellingsen and Collin Jackson 2014 Analyzing. rations are prominent culprits for spurious certificate warnings We Forged SSL Certificates in the Wild In Proceedings of the 2014 IEEE Symposium. on Security and Privacy SP 14 IEEE Computer Society Washington DC USA. assigned root causes to certificate reports collected from volunteer 83 97 https doi org 10 1109 SP 2014 13. Chrome users and we investigated the small number of root causes 20 Mariko Kobayashi 2017 Survey on Behaviors of Captive Portals https www. such as incorrect client clocks and insufficient intermediates ietf org proceedings 98 slides slides 98 capport survey 00 pdf. 21 Frank Li Grant Ho Eric Kuan Yuan Niu Lucas Ballard Kurt Thomas Elie. which account for vast numbers of warnings Finally we proposed Bursztein and Vern Paxson 2016 Remedying Web Hijacking Notification. implemented and evaluated mitigations for the common causes Effectiveness and Webmaster Comprehension In International World Wide Web. of spurious certificate warnings replacing about 25 of them in Conference. 22 Tyler Odean 2012 Chromium Blog Changes to the Field Trials Infrastructure. total Our findings and mitigations are applicable to other browser https blog chromium org 2012 05 changes to field trials infrastructure html. vendors as well as other types of TLS clients all of which may be 23 Mark O Neill Scott Ruoti Kent Seamons and Daniel Zappala 2016 TLS Proxies. Friend or Foe In Proceedings of the 2016 Internet Measurement Conference IMC. susceptible to client and network misconfigurations that interfere 16 ACM New York NY USA 551 557 https doi org 10 1145 2987443 2987488. with certificate validations 24 Tavis Ormandy 2016 Kaspersky SSL interception differentiates certificates with a. 32bit hash https bugs chromium org p project zero issues detail id 978. 25 Waseem Patwegar 2016 How to Fix Slow or Incorrect. ACKNOWLEDGMENTS Windows Computer Clock http www techbout com. We thank Andrew Whalley Chris Palmer Emily Schechter Eric fix slow incorrect windows computer clock 14287. Roman Lucas Garron and No Lutz for their help with this work. 26 Deborah Salmi 2015 Avast Web Shield scans HTTPS sites for malware and threats 29 Joel Weinberger and Adrienne Porter Felt 2016 A Week to Remember The Impact. https blog avast com 2015 05 25 explaining avasts https scanning feature of Browser Warning Storage Policies In Twelfth Symposium on Usable Privacy and. 27 Angela Sasse 2015 Scaring and Bullying People into Security Won t Work IEEE Security SOUPS 2016 USENIX Association Denver CO 15 25 https www. Security and Privacy May June 2015 usenix org conference soups2016 technical sessions presentation weinberger. 28 David W Stewart and Ingrid M Martin 1994 Intended and unintended con 30 M Wogalter 2006 Purposes and scope of warnings Handbook of Warnings 3 9. sequences of warning messages A review and synthesis of empirical research Wogalter M Ed 2006.


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