Raw vector
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:HSummary
CVE-2015-7450 is a critical-severity Deserialization of Untrusted Data (CWE-502) vulnerability in Ibm Tivoli Common Reporting. 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 0.1% of CVEs by exploit likelihood; CISA has added it to the Known Exploited Vulnerabilities catalog; a public proof-of-concept is referenced.
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-2015-7450 is a deserialization vulnerability (CWE-502) affecting serialized-object interfaces in multiple IBM analytics, business solutions, cognitive, IT infrastructure, and mobile and social products. The flaw stems from unsafe handling of Java serialized objects that leverage the InvokerTransformer class in the Apache Commons Collections library, enabling remote code execution when untrusted data is processed.
Remote attackers can exploit the issue over the network without authentication or user interaction by submitting a crafted serialized Java object. Successful exploitation grants arbitrary command execution with impacts equivalent to full confidentiality, integrity, and availability compromise, reflected in the CVSS 9.8 base score.
IBM has published multiple security advisories detailing affected products and recommended mitigations, available at the referenced support documents including swg21970575, swg21971342, swg21971376, swg21971733, and swg21971758.
OWASP Top 10 for Web (2025)
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2015-7374
Vulnerability Data
Serialized-object interfaces in certain IBM analytics, business solutions, cognitive, IT infrastructure, and mobile and social products allow remote attackers to execute arbitrary commands via a crafted serialized Java object, related to the InvokerTransformer class in the Apache Commons Collections library.
- CWE(s)
- KEV Date Added
- 10 January 2022
Related Threats
MITRE ATT&CK Enterprise Techniques
CVEs Like This One
Affected Assets
Mitigating Controls
Likely Mitigating Controls AI
Per-CVE control mapping for this CVE has not run yet; the list below is derived from the weakness types (CWEs) cited in the NVD entry.
Penetration testing supplies malicious serialized objects, detecting unsafe deserialization and supporting corrective actions.
Evaluation of untrusted data handling (deserialization testing) reveals unsafe processing, which the required remediation process addresses.
Untrusted serialized data can be deserialized and observed inside the chamber, blocking gadget-chain exploitation outside the sandbox.
Validates or rejects untrusted serialized data before deserialization occurs.
Identifies and blocks malicious code introduced through deserialization of untrusted data at system boundaries.
Integrity verification of serialized information can detect tampering before deserialization occurs.
Provenance of associated data allows detection of untrusted sources before deserialization or processing occurs.
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.