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Including CVEs outside Waratek scope✕Product spark✕
Overview 31 matches · 11 in Waratek scope · 6 protected · 2 exploited · 2 CISA KEV · 2 public PoC · 3 EPSS ≥ 0.5
31matches 11in Waratek scope35.5% 6protected19.4% 2exploited6.5% 2CISA KEV6.5% 2public PoC6.5% 3EPSS ≥ 0.59.7%
Protected by Waratek 6 19.4% Rule in development 0 0.0% Mitigation candidate 0 0.0% No exploit published 5 16.1% Outside Waratek scope 1 3.2% Not applicable 19 61.3% Withdrawn CVE 0 0.0%
Critical 0 0.0% High 31 100.0% Medium 0 0.0% Low 0 0.0% None 0 0.0% Unknown 0 0.0%
blocked by ARMR today 6 19.4% partly blocked 0 0.0% not blocked 25 80.6% not established 0 0.0% unrecorded 0 0.0%
Exploited 2 6.5% Working exploit published 0 0.0% Proof of concept only 1 3.2% Forecast only 1 3.2% No public exploit 27 87.1%
split by peak 5 / year
Not applicable: 19Outside Waratek scope: 1No exploit published: 5Protected by Waratek: 6 High: 31 not blocked: 25blocked by ARMR today: 6 No public exploit: 27Forecast only: 1Proof of concept only: 1Exploited: 2
20061 Not applicable1 High1 not blocked1 No public exploit1 20070 20080 20090 20100 20110 20120 20130 20140 20150 20162 Protected by Waratek1 Not applicable1 High2 blocked by ARMR today1 not blocked1 No public exploit2 20172 Protected by Waratek1 Not applicable1 High2 blocked by ARMR today1 not blocked1 No public exploit2 20183 No exploit published1 Not applicable2 High3 not blocked3 No public exploit3 20194 Protected by Waratek1 No exploit published2 Not applicable1 High4 blocked by ARMR today1 not blocked3 No public exploit4 20201 Not applicable1 High1 not blocked1 No public exploit1 20211 Not applicable1 High1 not blocked1 No public exploit1 20223 Protected by Waratek1 No exploit published1 Not applicable1 High3 blocked by ARMR today1 not blocked2 Exploited1 No public exploit2 20234 Protected by Waratek1 Not applicable3 High4 blocked by ARMR today1 not blocked3 Forecast only1 No public exploit3 20244 No exploit published1 Not applicable3 High4 not blocked4 Exploited1 Proof of concept only1 No public exploit2 20251 Outside Waratek scope1 High1 not blocked1 No public exploit1 20265 Protected by Waratek1 Not applicable4 High5 blocked by ARMR today1 not blocked4 No public exploit5
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31 matches Sign in to download these CVEs as CSV or JSON, or to follow them in a feed.
CVE Severity Published▾ Status Exploitation Description
CVE-2026-47626 High 2026-08-25 Not applicable No public exploit NVIDIA DGX Spark contains a vulnerability in the system firmware, where a privileged attacker could be able to cause an out-of-bounds write. A successful exploit of this vulnerability may lead to code execution, escalation of privileges, denial of service, information disclosure, and data tampering.
CVE-2026-24263 High 2026-08-25 Not applicable No public exploit NVIDIA DGX Spark contains a vulnerability in the system firmware, where a privileged attacker could be able to cause a NULL pointer dereference. A successful exploit of this vulnerability may lead to code execution, escalation of privileges, denial of service, information disclosure, and data tampering.
CVE-2026-24262 High 2026-08-25 Not applicable No public exploit NVIDIA DGX Spark contains a vulnerability in the system firmware, where a privileged attacker could be able to cause an out-of-bounds write. A successful exploit of this vulnerability may lead to code execution, escalation of privileges, denial of service, information disclosure, and data tampering.
CVE-2025-54920 High 2026-03-16 Protected by Waratek No public exploit This issue affects Apache Spark: before 3.5.7 and 4.0.1. Users are recommended to upgrade to version 3.5.7 or 4.0.1 and above, which fixes the issue. Summary Apache Spark 3.5.4 and earlier versions contain a code execution vulnerability in the Spark History Web UI due to overly permissive Jackson deserialization of event log data. This allows an attacker with access to the Spark event logs directory to inject malicious JSON payloads that trigger deserialization of arbitrary classes, enabling command execution on the host running the Spark History Server. Details The vulnerability arises because the Spark History Server uses Jackson polymorphic deserialization with @JsonTypeInfo.Id.CLASS on SparkListenerEvent objects, allowing an attacker to specify arbitrary class names in the event JSON. This behavior permits instantiating unintended classes, such as org.apache.hive.jdbc.HiveConnection, which can perform network calls or other malicious actions during deserialization. The attacker can exploit this by injecting crafted JSON content into the Spark event log files, which the History Server then deserializes on startup or when loading event logs. For example, the attacker can force the History Server to open a JDBC connection to a remote attacker-controlled server, demonstrating remote command injection capability. Proof of Concept: 1. Run Spark with event logging enabled, writing to a writable directory (spark-logs). 2. Inject the following JSON at the beginning of an event log file: { "Event": "org.apache.hive.jdbc.HiveConnection", "uri": "jdbc:hive2://<IP>:<PORT>/", "info": { "hive.metastore.uris": "thrift://<IP>:<PORT>" } } 3. Start the Spark History Server with logs pointing to the modified directory. 4. The Spark History Server initiates a JDBC connection to the attacker’s server, confirming the injection. Impact An attacker with write access to Spark event logs can execute arbitrary code on the server running the History Server, potentially compromising the entire system.
CVE-2026-26673 High 2026-03-04 Not applicable No public exploit An issue in DJI Mavic Mini, Spark, Mavic Air, Mini, Mini SE 0.1.00.0500 and below allows a remote attacker to cause a denial of service via the DJI Enhanced-WiFi transmission subsystem
CVE-2025-0509 High 2025-02-04 Outside Waratek scope No public exploit A security issue was found in Sparkle before version 2.6.4. An attacker can replace an existing signed update with another payload, bypassing Sparkle’s (Ed)DSA signing checks.
CVE-2024-46307 High 2024-10-09 Not applicable Proof of concept only A loop hole in the payment logic of Sparkshop v1.16 allows attackers to arbitrarily modify the number of products.
CVE-2024-39928 High 2024-09-25 No exploit published No public exploit In Apache Linkis <= 1.5.0, a Random string security vulnerability in Spark EngineConn, random string generated by the Token when starting Py4j uses the Commons Lang's RandomStringUtils. Users are recommended to upgrade to version 1.6.0, which fixes this issue.
CVE-2024-24919 High 2024-05-28 Not applicable Exploited Potentially allowing an attacker to read certain information on Check Point Security Gateways once connected to the internet and enabled with remote Access VPN or Mobile Access Software Blades. A Security fix that mitigates this vulnerability is available.
CVE-2024-23347 High 2024-01-16 Not applicable No public exploit 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-2023-40195 High 2023-08-28 Not applicable No public exploit 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-2023-40272 High 2023-08-17 Not applicable No public exploit 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-2023-32007 High 2023-05-02 Protected by Waratek Forecast only ** 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 High 2023-04-07 Not applicable No public exploit Improper Input Validation vulnerability in Apache Software Foundation Apache Airflow Spark Provider.This issue affects Apache Airflow Spark Provider: before 4.0.1.
CVE-2022-37415 High 2022-08-05 Not applicable No public exploit The Uniwill SparkIO.sys driver 1.0 is vulnerable to a stack-based buffer overflow via IOCTL 0x40002008.
CVE-2022-33891 High 2022-07-18 Protected by Waratek Exploited 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-2021-38296 High 2022-03-10 No exploit published No public exploit 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-2021-20084 High 2021-04-23 Not applicable No public exploit Improperly Controlled Modification of Object Prototype Attributes ('Prototype Pollution') in jquery-sparkle 1.5.2-beta allows a malicious user to inject properties into Object.prototype.
CVE-2020-12772 High 2020-05-12 Not applicable No public exploit 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-2019-10172 High 2019-11-18 Protected by Waratek No public exploit 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-2019-15417 High 2019-11-14 Not applicable No public exploit 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-2019-10099 High 2019-08-07 No exploit published No public exploit 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-2019-10291 High 2019-04-04 No exploit published No public exploit Jenkins Netsparker Cloud Scan Plugin 1.1.5 and older stored credentials unencrypted in its global configuration file on the Jenkins master where they could be viewed by users with access to the master file system.
CVE-2018-0692 High 2018-11-15 Not applicable No public exploit Untrusted search path vulnerability in Baidu Browser Version 43.23.1000.500 and earlier allows an attacker to gain privileges via a Trojan horse DLL in an unspecified directory.
CVE-2018-11804 High 2018-10-24 No exploit published No public exploit 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-2017-12310 High 2018-03-27 Not applicable No public exploit 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-2017-12612 High 2017-09-13 Protected by Waratek No public exploit 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-2016-7838 High 2017-06-09 Not applicable No public exploit Untrusted search path vulnerability in WinSparkle versions prior to 0.5.3 allows remote attackers to execute arbitrary code via a specially crafted executable file in an unspecified directory.
CVE-2016-9177 High 2016-11-04 Protected by Waratek No public exploit Directory traversal vulnerability in Spark 2.5 allows remote attackers to read arbitrary files via a .. (dot dot) in the URI.
CVE-2016-1322 High 2016-02-12 Not applicable No public exploit 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-2006-3573 High 2006-07-13 Not applicable No public exploit Format string vulnerability in the WriteText function in agl_text.cpp in Milan Mimica Sparklet 0.9.4 and earlier allows remote attackers to execute arbitrary code via format string specifiers in a player nickname.