Raw vector
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:HSummary
CVE-2024-54676 is a critical-severity Deserialization of Untrusted Data (CWE-502) vulnerability in Apache Openmeetings. 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 0.8% 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-2024-54676 affects Apache OpenMeetings versions 2.1.0 through 7.x. The vulnerability stems from incomplete default clustering guidance that omits OpenJPA serialization class blacklists and whitelists, enabling deserialization of untrusted data (CWE-502). The issue carries a CVSS 3.1 score of 9.8.
An unauthenticated remote attacker can supply a crafted serialized object over the network to the OpenMeetings clustering interface. Successful exploitation grants arbitrary code execution, allowing full compromise of confidentiality, integrity, and availability without requiring user interaction or credentials.
Apache recommends upgrading to version 8.0.0 and modifying startup scripts to set the openjpa.serialization.class.blacklist and openjpa.serialization.class.whitelist properties as documented in the updated clustering instructions. The referenced advisories from the Apache Security Team and oss-security list detail these configuration changes.
EPSS scores have remained low and essentially flat near 0.06, indicating limited observed exploitation interest to date.
OWASP Top 10 for Web (2025)
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2025-0037
Vulnerability Data
Vendor: The Apache Software Foundation Versions Affected: Apache OpenMeetings from 2.1.0 before 8.0.0 Description: Default clustering instructions at https://openmeetings.apache.org/Clustering.html doesn't specify white/black lists for OpenJPA this leads to possible deserialisation of untrusted data. Users are recommended to upgrade to version…
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8.0.0 and update their startup scripts to include the relevant 'openjpa.serialization.class.blacklist' and 'openjpa.serialization.class.whitelist' configurations as shown in the documentation.
- 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.
Mandatory malware scanning of data received over networks or storage media intercepts malicious serialized payloads before they are deserialized by the target application.