Apache Hive and Spark Cookie Signature Exposure Vulnerability
CVE-2024-23945 Published on December 23, 2024

Apache Hive, Apache Spark, Apache Spark: CookieSigner exposes the correct signature when message verification fails
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. Apache Hives 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

Vendor Advisory Vendor Advisory NVD

Vulnerability Analysis

CVE-2024-23945 can be exploited with network access, and does not require authorization privileges or user interaction. This vulnerability is consided to have a high level of attack complexity. The potential impact of an exploit of this vulnerability is considered to have no impact on confidentiality, a high impact on integrity, and no impact on availability.

Attack Vector:
NETWORK
Attack Complexity:
HIGH
Privileges Required:
NONE
User Interaction:
NONE
Scope:
UNCHANGED
Confidentiality Impact:
NONE
Integrity Impact:
HIGH
Availability Impact:
NONE

Weakness Type

Generation of Error Message Containing Sensitive Information

The software generates an error message that includes sensitive information about its environment, users, or associated data.


Products Associated with CVE-2024-23945

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Apache Hive
 
Apache Spark
 

Affected Versions

Apache Software Foundation Apache Hive: Apache Software Foundation Apache Spark: Apache Software Foundation Apache Spark:

Exploit Probability

EPSS
8.52%
Percentile
92.21%

EPSS (Exploit Prediction Scoring System) scores estimate the probability that a vulnerability will be exploited in the wild within the next 30 days. The percentile shows you how this score compares to all other vulnerabilities.