CVE-2025-36366
Ibm Db2 11.5.0 – 11.5.9
Raw vector
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:HSummary
CVE-2025-36366 is a medium-severity Improper Neutralization of Special Elements in Data Query Logic (CWE-943) vulnerability in Ibm Db2. Its CVSS base score is 6.5 (Medium).
Operationally, ranked at the 28th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog.
The strongest mitigations our analysis identified map to SC-5 (Denial-of-service Protection) and SI-11 (Error Handling) — see the control section below for these in your framework.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2025-206559
Vulnerability Data
IBM Db2 for Linux, UNIX and Windows (includes Db2 Connect Server) could allow a user to cause a denial of service by executing a query that invokes the JSON_Object scalar function, which may trigger an unhandled exception leading to abnormal…
more
server termination.
- CWE(s)
Related Threats
CVEs Like This One
Affected Assets
Mitigating Controls
Control response
Mitigating Controls (NIST 800-53 r5) AI
Directly requires the system to handle error conditions (such as unhandled exceptions in JSON_Object) without resulting in abnormal termination.
Requires protection against denial-of-service attacks that can be triggered by crafted queries causing server crashes.
Mandates timely remediation of the software flaw that allows the JSON_Object function to trigger an unhandled exception.
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.
Secure SDLC practices directly require parameterized queries and input neutralization to prevent query-logic injection.
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 in development catches injection vulnerabilities before release but does not itself implement the fix.
Secure development life cycle mandates input validation and query parameterization that directly prevent injection flaws.
Application security requirements explicitly call for controls against injection and improper query construction.
Secure architecture principles reduce the likelihood of query-logic flaws but do not prescribe the specific coding practice.
Secure coding standards require proper neutralization of special elements in all data queries.
Outsourced development agreements can require secure coding practices, indirectly mitigating the weakness.