Raw vector
CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:H/A:NSummary
CVE-2024-23945 is a medium-severity Generation of Error Message Containing Sensitive Information (CWE-209) vulnerability in Apache Spark. Its CVSS base score is 5.9 (Medium).
Operationally, exploitation aligns with the MITRE ATT&CK technique Software (T1592.002); ranked in the top 28% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog; a public proof-of-concept is referenced.
The strongest mitigations our analysis identified map to SI-11 (Error Handling) — see the control section below for these in your framework.
Deeper analysis AI-assisted summary
Synthesised by an AI model from the NVD description and linked references — a reading aid, not an authoritative source.
CVE-2024-23945 affects the cookie signing logic in Apache Hive’s service component (org.apache.hive:hive-service) and the corresponding Spark Hive Thriftserver modules (spark-hive-thriftserver_2.11 and _2.12). The flaw, introduced by HIVE-9710 in Hive 1.2.0 and SPARK-14987 in Spark 2.0.0, causes the correct signed cookie value to be returned to a client whenever a signature mismatch occurs between the supplied and expected cookie, exposing the signature that is otherwise intended to protect integrity.
An unauthenticated remote attacker can trigger the mismatch condition over the network to obtain a valid cookie signature. With the signature in hand, the attacker can forge or modify subsequent cookies, achieving integrity violations that the signing mechanism was designed to prevent. The CVSS 5.9 rating reflects the high attack complexity required to reach this outcome despite the absence of required credentials.
Public references point to corrective commits in the Hive and Spark repositories that address the exposure in the CookieSigner path. The EPSS score reached a peak of 0.0852 after disclosure, indicating a measurable increase in observed exploitation interest from an initially low baseline.
OWASP Top 10 for Web (2025)
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2024-3564
Vulnerability Data
Signing cookies is an application security feature that adds a digital signature to cookie data to verify its authenticity and integrity. The signature helps prevent malicious actors from modifying the cookie value, which can lead to security vulnerabilities and exploitation.…
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Apache Hive’s service component accidentally exposes the signed cookie to the end user when there is a mismatch in signature between the current and expected cookie. Exposing the correct cookie signature can lead to further exploitation. The vulnerable CookieSigner logic was introduced in Apache Hive by HIVE-9710 (1.2.0) and in Apache Spark by SPARK-14987 (2.0.0). The affected components are the following: * org.apache.hive:hive-service * org.apache.spark:spark-hive-thriftserver_2.11 * org.apache.spark:spark-hive-thriftserver_2.12
- CWE(s)
Related Threats
MITRE ATT&CK Enterprise Techniques
CVEs Like This One
Affected Assets
Mitigating Controls
Control response
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V16.5.1
Mitigating Controls (NIST 800-53 r5) AI
si-11 directly requires error messages to avoid revealing exploitable information about the system or its data.
Mitigating Controls (NIST CSF 2.0) AI
Derived directly from the weakness types (CWEs) cited in the NVD entry via our AI-authored CWE→CSF cross-walk (authority under review) — links open the control.
Secure SDLC practices directly require sanitized error handling to prevent sensitive data disclosure.
Mitigating Controls (ISO/IEC 27001:2022 Annex A) AI
Derived directly from the weakness types (CWEs) cited in the NVD entry via our AI-authored CWE→ISO cross-walk (authority under review) — links open the control.
Secure coding standards explicitly forbid exposing sensitive data in errors.
Security testing can detect error messages that leak sensitive information.
Logging policy can require suppression of sensitive data in error messages.
Secure SDLC mandates error-handling rules that avoid leaking sensitive information.
Application security requirements can specify safe error messaging.
Secure architecture principles include proper exception handling.