CVE-2024-20953
RCE in Oracle Agile Product Lifecycle Management 9.3.6
Raw vector
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:HSummary
CVE-2024-20953 is a high-severity Deserialization of Untrusted Data (CWE-502) vulnerability in Oracle Agile Product Lifecycle Management. Its CVSS base score is 8.8 (High).
Operationally, exploitation aligns with the MITRE ATT&CK technique Exploit Public-Facing Application (T1190); ranked in the top 12% of CVEs by exploit likelihood; CISA has added it to the Known Exploited Vulnerabilities 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-2024-20953 is a vulnerability in the Export component of Oracle Agile PLM version 9.3.6 within Oracle Supply Chain. It carries a CVSS 3.1 base score of 8.8 with the vector AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H and is associated with CWE-502. The flaw permits remote compromise of the affected product.
A low-privileged attacker with network access over HTTP can exploit the issue without user interaction to achieve full takeover of Oracle Agile PLM, impacting confidentiality, integrity, and availability.
Oracle's January 2024 Critical Patch Update addresses the vulnerability, and the issue appears in CISA's Known Exploited Vulnerabilities catalog. The associated EPSS score reached a peak of 0.7032 with a current value of 0.6791.
OWASP Top 10 for Web (2025)
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2024-18667
Vulnerability Data
Vulnerability in the Oracle Agile PLM product of Oracle Supply Chain (component: Export). The supported version that is affected is 9.3.6. Easily exploitable vulnerability allows low privileged attacker with network access via HTTP to compromise Oracle Agile PLM. Successful attacks…
more
of this vulnerability can result in takeover of Oracle Agile PLM. CVSS 3.1 Base Score 8.8 (Confidentiality, Integrity and Availability impacts). CVSS Vector: (CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H).
- CWE(s)
- KEV Date Added
- 24 February 2025
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.