Raw vector
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:HCVSS and EPSS are reproduced from their sources (NVD, FIRST EPSS). Risk Priority is our own derived reading, not an NVD score.
Summary
CVE-2024-56180 is a critical-severity Deserialization of Untrusted Data (CWE-502) vulnerability in Apache Eventmesh. Its CVSS base score is 9.8 (Critical).
Operationally, exploitation aligns with the MITRE ATT&CK technique Exploit Public-Facing Application (T1190); ranked in the top 47% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog.
The strongest mitigations our analysis identified map to SA-11 (Developer Testing and Evaluation) and SI-10 (Information Input Validation) — 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-2024-56180 is a CWE-502 Deserialization of Untrusted Data vulnerability in the eventmesh-meta-raft plugin module of Apache EventMesh master branch, excluding release versions, on Windows, Linux, and macOS platforms. The flaw allows attackers to send controlled messages that trigger remote code execution via the Hessian deserialization RPC protocol.
Remote attackers can exploit this vulnerability with network access, no privileges required, low attack complexity, and no user interaction needed. Exploitation yields high-impact confidentiality, integrity, and availability effects, resulting in a CVSS 3.1 base score of 9.8 (AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H).
Apache advisories indicate that users should apply the fixed code from the master branch in the project repository or upgrade to version 1.11.0 to mitigate the issue. Relevant discussions appear in the Apache mailing list and oss-security announcements.
OWASP Top 10 for Web (2025)
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2024-52999
Vulnerability Data
CWE-502 Deserialization of Untrusted Data at the eventmesh-meta-raft plugin module in Apache EventMesh master branch without release version on windows\linux\mac os e.g. platforms allows attackers to send controlled message and remote code execute via hessian deserialization rpc protocol. Users can…
more
use the code under the master branch in project repo or version 1.11.0 to fix this issue.
- CWE(s)
Related Threats
MITRE ATT&CK Enterprise Techniques
CVEs Like This One
Affected Assets
Mitigating Controls
Mitigating Controls (NIST 800-53 r5) AI
Developer testing and evaluation can uncover deserialization flaws before deployment.
Input validation directly stops deserialization of untrusted data by ensuring inputs are valid before processing.
Engineering principles such as safe deserialization and input sanitization structurally prevent the weakness from being introduced.
Integrity verification tools can detect malformed or tampered serialized data after the fact.
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.
PR.PS-02 addresses only post-deployment updates/patching and cannot prevent introduction of unsafe deserialization code, yet it can remediate some instances when the flaw exists in outdated libraries or components.
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.
Security testing includes validation of deserialization routines and the use of untrusted data, reducing the likelihood that unsafe object reconstruction will be deployed.
Requiring vetted libraries, regular updates and SAST before release reduces the likelihood that deserialization logic will accept and act on attacker-controlled serialized objects.
Regular scanning of third-party libraries and timely patching reduce the likelihood that unsafe deserialization vulnerabilities remain active.