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There are 62 CVE Records that match your search.
| Name | Description |
|---|---|
| CVE-2024-23347 | Prior to v176, when opening a new project Meta Spark Studio would execute scripts defined inside of a package.json file included as part of that project. Those scripts would have the ability to execute arbitrary code on the system as the application. |
| CVE-2023-46674 | An issue was identified that allowed the unsafe deserialization of java objects from hadoop or spark configuration properties that could have been modified by authenticated users. Elastic would like to thank Yakov Shafranovich, with Amazon Web Services for reporting this issue. |
| CVE-2023-40272 | Apache Airflow Spark Provider, versions before 4.1.3, is affected by a vulnerability that allows an attacker to pass in malicious parameters when establishing a connection giving an opportunity to read files on the Airflow server. It is recommended to upgrade to a version that is not affected. |
| CVE-2023-40195 | Deserialization of Untrusted Data, Inclusion of Functionality from Untrusted Control Sphere vulnerability in Apache Software Foundation Apache Airflow Spark Provider. When the Apache Spark provider is installed on an Airflow deployment, an Airflow user that is authorized to configure Spark hooks can effectively run arbitrary code on the Airflow node by pointing it at a malicious Spark server. Prior to version 4.1.3, this was not called out in the documentation explicitly, so it is possible that administrators provided authorizations to configure Spark hooks without taking this into account. We recommend administrators to review their configurations to make sure the authorization to configure Spark hooks is only provided to fully trusted users. To view the warning in the docs please visit https://airflow.apache.org/docs/apache-airflow-providers-apache-spark/4.1.3/connections/spark.html |
| CVE-2023-32007 | ** UNSUPPORTED WHEN ASSIGNED ** The Apache Spark UI offers the possibility to enable ACLs via the configuration option spark.acls.enable. With an authentication filter, this checks whether a user has access permissions to view or modify the application. If ACLs are enabled, a code path in HttpSecurityFilter can allow someone to perform impersonation by providing an arbitrary user name. A malicious user might then be able to reach a permission check function that will ultimately build a Unix shell command based on their input, and execute it. This will result in arbitrary shell command execution as the user Spark is currently running as. This issue was disclosed earlier as CVE-2022-33891, but incorrectly claimed version 3.1.3 (which has since gone EOL) would not be affected. NOTE: This vulnerability only affects products that are no longer supported by the maintainer. Users are recommended to upgrade to a supported version of Apache Spark, such as version 3.4.0. |
| CVE-2023-28710 | Improper Input Validation vulnerability in Apache Software Foundation Apache Airflow Spark Provider.This issue affects Apache Airflow Spark Provider: before 4.0.1. |
| CVE-2023-24451 | A missing permission check in Jenkins Cisco Spark Notifier Plugin 1.1.1 and earlier allows attackers with Overall/Read permission to enumerate credentials IDs of credentials stored in Jenkins. |
| CVE-2023-22946 | In Apache Spark versions prior to 3.4.0, applications using spark-submit can specify a 'proxy-user' to run as, limiting privileges. The application can execute code with the privileges of the submitting user, however, by providing malicious configuration-related classes on the classpath. This affects architectures relying on proxy-user, for example those using Apache Livy to manage submitted applications. Update to Apache Spark 3.4.0 or later, and ensure that spark.submit.proxyUser.allowCustomClasspathInClusterMode is set to its default of "false", and is not overridden by submitted applications. |
| CVE-2022-46415 | DJI Spark 01.00.0900 allows remote attackers to prevent legitimate terminal connections by exhausting the DHCP IP address pool. To accomplish this, the attacker would first need to connect to the device's internal Wi-Fi network (e.g., by guessing the password). Then, the attacker would need to send many DHCP request packets. |
| CVE-2022-40954 | Improper Neutralization of Special Elements used in an OS Command ('OS Command Injection') vulnerability in Apache Airflow Spark Provider, Apache Airflow allows an attacker to read arbtrary files in the task execution context, without write access to DAG files. This issue affects Spark Provider versions prior to 4.0.0. It also impacts any Apache Airflow versions prior to 2.3.0 in case Spark Provider is installed (Spark Provider 4.0.0 can only be installed for Airflow 2.3.0+). Note that you need to manually install the Spark Provider version 4.0.0 in order to get rid of the vulnerability on top of Airflow 2.3.0+ version that has lower version of the Spark Provider installed). |
| CVE-2022-34808 | Jenkins Cisco Spark Plugin 1.1.1 and earlier stores bearer tokens unencrypted in its global configuration file on the Jenkins controller where they can be viewed by users with access to the Jenkins controller file system. |
| CVE-2022-33891 | The Apache Spark UI offers the possibility to enable ACLs via the configuration option spark.acls.enable. With an authentication filter, this checks whether a user has access permissions to view or modify the application. If ACLs are enabled, a code path in HttpSecurityFilter can allow someone to perform impersonation by providing an arbitrary user name. A malicious user might then be able to reach a permission check function that will ultimately build a Unix shell command based on their input, and execute it. This will result in arbitrary shell command execution as the user Spark is currently running as. This affects Apache Spark versions 3.0.3 and earlier, versions 3.1.1 to 3.1.2, and versions 3.2.0 to 3.2.1. |
| CVE-2022-31777 | A stored cross-site scripting (XSS) vulnerability in Apache Spark 3.2.1 and earlier, and 3.3.0, allows remote attackers to execute arbitrary JavaScript in the web browser of a user, by including a malicious payload into the logs which would be returned in logs rendered in the UI. |
| CVE-2022-26477 | The Security Team noticed that the termination condition of the for loop in the readExternal method is a controllable variable, which, if tampered with, may lead to CPU exhaustion. As a fix, we added an upper bound and termination condition in the read and write logic. We classify it as a "low-priority but useful improvement". SystemDS is a distributed system and needs to serialize/deserialize data but in many code paths (e.g., on Spark broadcast/shuffle or writing to sequence files) the byte stream is anyway protected by additional CRC fingerprints. In this particular case though, the number of decoders is upper-bounded by twice the number of columns, which means an attacker would need to modify two entries in the byte stream in a consistent manner. By adding these checks robustness was strictly improved with almost zero overhead. These code changes are available in versions higher than 2.2.1. |
| CVE-2022-25168 | Apache Hadoop's FileUtil.unTar(File, File) API does not escape the input file name before being passed to the shell. An attacker can inject arbitrary commands. This is only used in Hadoop 3.3 InMemoryAliasMap.completeBootstrapTransfer, which is only ever run by a local user. It has been used in Hadoop 2.x for yarn localization, which does enable remote code execution. It is used in Apache Spark, from the SQL command ADD ARCHIVE. As the ADD ARCHIVE command adds new binaries to the classpath, being able to execute shell scripts does not confer new permissions to the caller. SPARK-38305. "Check existence of file before untarring/zipping", which is included in 3.3.0, 3.1.4, 3.2.2, prevents shell commands being executed, regardless of which version of the hadoop libraries are in use. Users should upgrade to Apache Hadoop 2.10.2, 3.2.4, 3.3.3 or upper (including HADOOP-18136). |
| CVE-2021-38296 | Apache Spark supports end-to-end encryption of RPC connections via "spark.authenticate" and "spark.network.crypto.enabled". In versions 3.1.2 and earlier, it uses a bespoke mutual authentication protocol that allows for full encryption key recovery. After an initial interactive attack, this would allow someone to decrypt plaintext traffic offline. Note that this does not affect security mechanisms controlled by "spark.authenticate.enableSaslEncryption", "spark.io.encryption.enabled", "spark.ssl", "spark.ui.strictTransportSecurity". Update to Apache Spark 3.1.3 or later |
| CVE-2021-32054 | Firely/Incendi Spark before 1.5.5-r4 lacks Content-Disposition headers in certain situations, which may cause crafted files to be delivered to clients such that they are rendered directly in a victim's web browser. |
| CVE-2021-28165 | In Eclipse Jetty 7.2.2 to 9.4.38, 10.0.0.alpha0 to 10.0.1, and 11.0.0.alpha0 to 11.0.1, CPU usage can reach 100% upon receiving a large invalid TLS frame. |
| CVE-2021-20232 | A flaw was found in gnutls. A use after free issue in client_send_params in lib/ext/pre_shared_key.c may lead to memory corruption and other potential consequences. |
| CVE-2021-20231 | A flaw was found in gnutls. A use after free issue in client sending key_share extension may lead to memory corruption and other consequences. |
| CVE-2021-20078 | Manage Engine OpManager builds below 125346 are vulnerable to a remote denial of service vulnerability due to a path traversal issue in spark gateway component. This allows a remote attacker to remotely delete any directory or directories on the OS. |
| CVE-2020-9480 | In Apache Spark 2.4.5 and earlier, a standalone resource manager's master may be configured to require authentication (spark.authenticate) via a shared secret. When enabled, however, a specially-crafted RPC to the master can succeed in starting an application's resources on the Spark cluster, even without the shared key. This can be leveraged to execute shell commands on the host machine. This does not affect Spark clusters using other resource managers (YARN, Mesos, etc). |
| CVE-2020-36179 | FasterXML jackson-databind 2.x before 2.9.10.8 mishandles the interaction between serialization gadgets and typing, related to oadd.org.apache.commons.dbcp.cpdsadapter.DriverAdapterCPDS. |
| CVE-2020-35200 | Ignite Realtime Openfire 4.6.0 has plugins/clientcontrol/spark-form.jsp Reflective XSS. |
| CVE-2020-27223 | In Eclipse Jetty 9.4.6.v20170531 to 9.4.36.v20210114 (inclusive), 10.0.0, and 11.0.0 when Jetty handles a request containing multiple Accept headers with a large number of “quality” (i.e. q) parameters, the server may enter a denial of service (DoS) state due to high CPU usage processing those quality values, resulting in minutes of CPU time exhausted processing those quality values. |
| CVE-2020-27218 | In Eclipse Jetty version 9.4.0.RC0 to 9.4.34.v20201102, 10.0.0.alpha0 to 10.0.0.beta2, and 11.0.0.alpha0 to 11.0.0.beta2, if GZIP request body inflation is enabled and requests from different clients are multiplexed onto a single connection, and if an attacker can send a request with a body that is received entirely but not consumed by the application, then a subsequent request on the same connection will see that body prepended to its body. The attacker will not see any data but may inject data into the body of the subsequent request. |
| CVE-2020-12772 | An issue was discovered in Ignite Realtime Spark 2.8.3 (and the ROAR plugin for it) on Windows. A chat message can include an IMG element with a SRC attribute referencing an external host's IP address. Upon access to this external host, the (NT)LM hashes of the user are sent with the HTTP request. This allows an attacker to collect these hashes, crack them, and potentially compromise the computer. (ROAR can be configured for automatic access. Also, access can occur if the user clicks.) |
| CVE-2019-20445 | HttpObjectDecoder.java in Netty before 4.1.44 allows a Content-Length header to be accompanied by a second Content-Length header, or by a Transfer-Encoding header. |
| CVE-2019-1636 | A vulnerability in the Cisco Webex Teams client, formerly Cisco Spark, could allow an attacker to execute arbitrary commands on a targeted system. This vulnerability is due to unsafe search paths used by the application URI that is defined in Windows operating systems. An attacker could exploit this vulnerability by convincing a targeted user to follow a malicious link. Successful exploitation could cause the application to load libraries from the directory targeted by the URI link. The attacker could use this behavior to execute arbitrary commands on the system with the privileges of the targeted user if the attacker can place a crafted library in a directory that is accessible to the vulnerable system. |
| CVE-2019-15417 | The Tecno Spark Pro Android device with a build fingerprint of TECNO/H3722/TECNO-K8:7.0/NRD90M/K8-H3722ABCDE-N-171229V96:user/release-keys contains a pre-installed app with a package name of com.lovelyfont.defcontainer app (versionCode=7, versionName=7.0.5) that allows unauthorized dynamic code loading via a confused deputy attack. This capability can be accessed by any app co-located on the device. |
| CVE-2019-12370 | The Spark application through 2.0.2 for Android allows XSS via an event attribute and arbitrary file loading via a src attribute, if the application has the READ_EXTERNAL_STORAGE permission. |
| CVE-2019-12086 | A Polymorphic Typing issue was discovered in FasterXML jackson-databind 2.x before 2.9.9. When Default Typing is enabled (either globally or for a specific property) for an externally exposed JSON endpoint, the service has the mysql-connector-java jar (8.0.14 or earlier) in the classpath, and an attacker can host a crafted MySQL server reachable by the victim, an attacker can send a crafted JSON message that allows them to read arbitrary local files on the server. This occurs because of missing com.mysql.cj.jdbc.admin.MiniAdmin validation. |
| CVE-2019-10172 | A flaw was found in org.codehaus.jackson:jackson-mapper-asl:1.9.x libraries. XML external entity vulnerabilities similar CVE-2016-3720 also affects codehaus jackson-mapper-asl libraries but in different classes. |
| CVE-2019-10099 | Prior to Spark 2.3.3, in certain situations Spark would write user data to local disk unencrypted, even if spark.io.encryption.enabled=true. This includes cached blocks that are fetched to disk (controlled by spark.maxRemoteBlockSizeFetchToMem); in SparkR, using parallelize; in Pyspark, using broadcast and parallelize; and use of python udfs. |
| CVE-2019-10095 | bash command injection vulnerability in Apache Zeppelin allows an attacker to inject system commands into Spark interpreter settings. This issue affects Apache Zeppelin Apache Zeppelin version 0.9.0 and prior versions. |
| CVE-2018-9159 | In Spark before 2.7.2, a remote attacker can read unintended static files via various representations of absolute or relative pathnames, as demonstrated by file: URLs and directory traversal sequences. NOTE: this product is unrelated to Ignite Realtime Spark. |
| CVE-2018-8024 | In Apache Spark 2.1.0 to 2.1.2, 2.2.0 to 2.2.1, and 2.3.0, it's possible for a malicious user to construct a URL pointing to a Spark cluster's UI's job and stage info pages, and if a user can be tricked into accessing the URL, can be used to cause script to execute and expose information from the user's view of the Spark UI. While some browsers like recent versions of Chrome and Safari are able to block this type of attack, current versions of Firefox (and possibly others) do not. |
| CVE-2018-2799 | Vulnerability in the Java SE, Java SE Embedded, JRockit component of Oracle Java SE (subcomponent: JAXP). Supported versions that are affected are Java SE: 7u171, 8u162 and 10; Java SE Embedded: 8u161; JRockit: R28.3.17. Easily exploitable vulnerability allows unauthenticated attacker with network access via multiple protocols to compromise Java SE, Java SE Embedded, JRockit. Successful attacks of this vulnerability can result in unauthorized ability to cause a partial denial of service (partial DOS) of Java SE, Java SE Embedded, JRockit. Note: Applies to client and server deployment of Java. This vulnerability can be exploited through sandboxed Java Web Start applications and sandboxed Java applets. It can also be exploited by supplying data to APIs in the specified Component without using sandboxed Java Web Start applications or sandboxed Java applets, such as through a web service. CVSS 3.0 Base Score 5.3 (Availability impacts). CVSS Vector: (CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:L). |
| CVE-2018-17190 | In all versions of Apache Spark, its standalone resource manager accepts code to execute on a 'master' host, that then runs that code on 'worker' hosts. The master itself does not, by design, execute user code. A specially-crafted request to the master can, however, cause the master to execute code too. Note that this does not affect standalone clusters with authentication enabled. While the master host typically has less outbound access to other resources than a worker, the execution of code on the master is nevertheless unexpected. |
| CVE-2018-14995 | The ZTE Blade Vantage Android device with a build fingerprint of ZTE/Z839/sweet:7.1.1/NMF26V/20180120.095344:user/release-keys, the ZTE Blade Spark Android device with a build fingerprint of ZTE/Z971/peony:7.1.1/NMF26V/20171129.143111:user/release-keys, the ZTE ZMAX Pro Android device with a build fingerprint of ZTE/P895T20/urd:6.0.1/MMB29M/20170418.114928:user/release-keys, and the ZTE ZMAX Champ Android device with a build fingerprint of ZTE/Z917VL/fortune:6.0.1/MMB29M/20170327.120922:user/release-keys contain a pre-installed platform app with a package name of com.android.modem.service (versionCode=25, versionName=7.1.1; versionCode=23, versionName=6.0.1) that exports an interface to any app on co-located on the device. Using the exported interface of the com.android.modem.service app, any app can enable and obtain certain log files (modem and logcat) without the appropriate corresponding access permissions. The modem logs contain the phone number and full text body of incoming and outgoing text messages in binary format. In addition, the modem log contains the phone numbers for both incoming and outgoing phone calls. The system-wide logcat logs (those obtained via the logcat binary) tend to contain sensitive user data. Third-party apps are prevented from directly reading the system-wide logcat logs. The capability to read from the system-wide logcat logs is only available to pre-installed system apps and platform apps. The modem log and/or logcat log, once activated, get written to external storage (SD card). An app aware of this vulnerability can enable the logs, parse them for relevant data, and exfiltrate them from the device. The modem log and logcat log are inactive by default, but a third-party app with no permissions can activate them, although the app will need to be granted the READ_EXTERNAL_STORAGE permission to access them. |
| CVE-2018-1334 | In Apache Spark 1.0.0 to 2.1.2, 2.2.0 to 2.2.1, and 2.3.0, when using PySpark or SparkR, it's possible for a different local user to connect to the Spark application and impersonate the user running the Spark application. |
| CVE-2018-11804 | Spark's Apache Maven-based build includes a convenience script, 'build/mvn', that downloads and runs a zinc server to speed up compilation. It has been included in release branches since 1.3.x, up to and including master. This server will accept connections from external hosts by default. A specially-crafted request to the zinc server could cause it to reveal information in files readable to the developer account running the build. Note that this issue does not affect end users of Spark, only developers building Spark from source code. |
| CVE-2018-11770 | From version 1.3.0 onward, Apache Spark's standalone master exposes a REST API for job submission, in addition to the submission mechanism used by spark-submit. In standalone, the config property 'spark.authenticate.secret' establishes a shared secret for authenticating requests to submit jobs via spark-submit. However, the REST API does not use this or any other authentication mechanism, and this is not adequately documented. In this case, a user would be able to run a driver program without authenticating, but not launch executors, using the REST API. This REST API is also used by Mesos, when set up to run in cluster mode (i.e., when also running MesosClusterDispatcher), for job submission. Future versions of Spark will improve documentation on these points, and prohibit setting 'spark.authenticate.secret' when running the REST APIs, to make this clear. Future versions will also disable the REST API by default in the standalone master by changing the default value of 'spark.master.rest.enabled' to 'false'. |
| CVE-2018-11760 | When using PySpark , it's possible for a different local user to connect to the Spark application and impersonate the user running the Spark application. This affects versions 1.x, 2.0.x, 2.1.x, 2.2.0 to 2.2.2, and 2.3.0 to 2.3.1. |
| CVE-2018-0436 | A vulnerability in Cisco Webex Teams, formerly Cisco Spark, could allow an authenticated, remote attacker to view and modify data for an organization other than their own organization. The vulnerability exists because the affected software performs insufficient checks for associations between user accounts and organization accounts. An attacker who has administrator or compliance officer privileges for one organization account could exploit this vulnerability by using those privileges to view and modify data for another organization account. No customer data was impacted by this vulnerability. |
| CVE-2018-0119 | A vulnerability in certain authentication controls in the account services of Cisco Spark could allow an authenticated, remote attacker to interact with and view information on an affected device that would normally be prohibited. The vulnerability is due to the improper display of user-account tokens generated in the system. An attacker could exploit this vulnerability by logging in to the device with a token in use by another account. Successful exploitation could allow the attacker to cause a partial impact to the device's confidentiality, integrity, and availability. Cisco Bug IDs: CSCvg05206. |
| CVE-2017-9326 | The keystore password for the Spark History Server may be exposed in unsecured files under the /var/run/cloudera-scm-agent directory managed by Cloudera Manager. The keystore file itself is not exposed. |
| CVE-2017-7678 | In Apache Spark before 2.2.0, it is possible for an attacker to take advantage of a user's trust in the server to trick them into visiting a link that points to a shared Spark cluster and submits data including MHTML to the Spark master, or history server. This data, which could contain a script, would then be reflected back to the user and could be evaluated and executed by MS Windows-based clients. It is not an attack on Spark itself, but on the user, who may then execute the script inadvertently when viewing elements of the Spark web UIs. |
| CVE-2017-7525 | A deserialization flaw was discovered in the jackson-databind, versions before 2.6.7.1, 2.7.9.1 and 2.8.9, which could allow an unauthenticated user to perform code execution by sending the maliciously crafted input to the readValue method of the ObjectMapper. |
| CVE-2017-3825 | A vulnerability in the ICMP ingress packet processing of Cisco TelePresence Collaboration Endpoint (CE) Software could allow an unauthenticated, remote attacker to cause the TelePresence endpoint to reload unexpectedly, resulting in a denial of service (DoS) condition. The vulnerability is due to incomplete input validation for the size of a received ICMP packet. An attacker could exploit this vulnerability by sending a crafted ICMP packet to the local IP address of the targeted endpoint. A successful exploit could allow the attacker to cause a DoS of the TelePresence endpoint, during which time calls could be dropped. This vulnerability would affect either IPv4 or IPv6 ICMP traffic. This vulnerability affects the following Cisco TelePresence products when running software release CE8.1.1, CE8.2.0, CE8.2.1, CE8.2.2, CE 8.3.0, or CE8.3.1: Spark Room OS, TelePresence DX Series, TelePresence MX Series, TelePresence SX Quick Set Series, TelePresence SX Series. Cisco Bug IDs: CSCvb95396. |
| CVE-2017-12612 | In Apache Spark 1.6.0 until 2.1.1, the launcher API performs unsafe deserialization of data received by its socket. This makes applications launched programmatically using the launcher API potentially vulnerable to arbitrary code execution by an attacker with access to any user account on the local machine. It does not affect apps run by spark-submit or spark-shell. The attacker would be able to execute code as the user that ran the Spark application. Users are encouraged to update to version 2.2.0 or later. |
| CVE-2017-12310 | A vulnerability in the auto discovery phase of Cisco Spark Hybrid Calendar Service could allow an unauthenticated, remote attacker to view sensitive information in the unencrypted headers of an HTTP method request. The attacker could use this information to conduct additional reconnaissance attacks leading to the disclosure of sensitive customer data. The vulnerability exists in the auto discovery phase because an unencrypted HTTP request is made due to requirements for implementing the Hybrid Calendar service. An attacker could exploit this vulnerability by monitoring the unencrypted traffic on the network. An exploit could allow the attacker to access sensitive customer data belonging to Office365 users, such as email and calendar events. Cisco Bug IDs: CSCvg35593. |
| CVE-2017-12306 | A vulnerability in the upgrade process of Cisco Spark Board could allow an authenticated, local attacker to install an unverified upgrade package, aka Signature Verification Bypass. The vulnerability is due to insufficient upgrade package validation. An attacker could exploit this vulnerability by providing the upgrade process with an upgrade package that the attacker controls. An exploit could allow the attacker to install custom firmware to the Spark Board. Cisco Bug IDs: CSCvf84502. |
| CVE-2017-12269 | A vulnerability in the web UI of Cisco Spark Messaging Software could allow an authenticated, remote attacker to perform a stored cross-site scripting (XSS) attack. The vulnerability is due to insufficient input validation by the web UI of the affected software. An attacker could exploit this vulnerability by injecting XSS content into the web UI of the affected software. A successful exploit could allow the attacker to force a user to execute code of the attacker's choosing or allow the attacker to retrieve sensitive information from the user. Cisco Bug IDs: CSCvf70587, CSCvf70592. |
| CVE-2016-9177 | Directory traversal vulnerability in Spark 2.5 allows remote attackers to read arbitrary files via a .. (dot dot) in the URI. |
| CVE-2016-1324 | The REST interface in Cisco Spark 2015-06 allows remote attackers to cause a denial of service (resource outage) by accessing an administrative page, aka Bug ID CSCuv84125. |
| CVE-2016-1323 | The REST interface in Cisco Spark 2015-06 allows remote authenticated users to obtain sensitive information via a request for an unspecified file, aka Bug ID CSCuv84048. |
| CVE-2016-1322 | The REST interface in Cisco Spark 2015-07-04 allows remote attackers to bypass intended access restrictions and create arbitrary user accounts via unspecified web requests, aka Bug ID CSCuv72584. |
| CVE-2015-6303 | The Cisco Spark application 2015-07-04 for mobile operating systems does not properly verify X.509 certificates from SSL servers, which allows man-in-the-middle attackers to spoof servers and obtain sensitive information via a crafted certificate, aka Bug IDs CSCut36742 and CSCut36844. |
| CVE-2015-5237 | protobuf allows remote authenticated attackers to cause a heap-based buffer overflow. |
| CVE-2014-5867 | The Capital One Spark Pay (aka com.capitalone.sparkpay) application 0.9.81 for Android does not verify X.509 certificates from SSL servers, which allows man-in-the-middle attackers to spoof servers and obtain sensitive information via a crafted certificate. |
| CVE-2014-5349 | Stack-based buffer overflow in Baidu Spark Browser 26.5.9999.3511 allows remote attackers to cause a denial of service (application crash) via nested calls to the window.print JavaScript function. |
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