CVE-2024-12397
Java vulnerability analysis and mitigation

Overview

A vulnerability (CVE-2024-12397) was discovered in Quarkus-HTTP, affecting the cookie parsing mechanism. The flaw was disclosed on December 12, 2024, impacting various Red Hat products including Red Hat build of Quarkus 3.15.3, Red Hat Build of Apache Camel 4.8, and several other Red Hat services. The vulnerability stems from incorrect parsing of cookies with certain value-delimiting characters in incoming requests (NVD, Red Hat CVE).

Technical details

The vulnerability is classified as CWE-444 (Inconsistent Interpretation of HTTP Requests) with a CVSS v3.1 base score of 7.4 (HIGH). The attack vector is network-based (AV:N) with high attack complexity (AC:H), requiring no privileges (PR:N) or user interaction (UI:N). The scope is unchanged (S:U) with high impact on both confidentiality and integrity (C:H, I:H) but no impact on availability (A:N) (NVD).

Impact

The vulnerability allows attackers to construct malicious cookie values that can lead to two primary impacts: the exfiltration of HttpOnly cookie values and the ability to spoof arbitrary additional cookie values. This poses significant risks to data confidentiality and integrity, potentially leading to unauthorized data access or modification (Red Hat Bugzilla).

Exploitability

The vulnerability requires network access and has high attack complexity. While no specific exploits have been publicly documented, the attack vector is network-based and doesn't require user interaction or privileges, making it potentially attractive to attackers despite its complexity (NVD).

Mitigation and workarounds

Red Hat has addressed this vulnerability by releasing security updates for affected products. Updates are available through RHSA-2025:0900 for Red Hat build of Quarkus 3.15.3 and RHSA-2025:1082 for Red Hat Build of Apache Camel 4.8 for Quarkus 3.15. Users are advised to apply these security updates to mitigate the vulnerability (Red Hat Advisory, Red Hat Camel).

Additional resources


SourceThis report was generated using AI

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