Raw vector
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:C/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-2026-45579 is a critical-severity Eval Injection (CWE-95) vulnerability. Its CVSS base score is 9.9 (Critical).
Operationally, exploitation aligns with the MITRE ATT&CK technique Command and Scripting Interpreter (T1059); ranked at the 38th 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 SA-11 (Developer Testing and Evaluation) and SA-15 (Development Process, Standards, and Tools) — see the control section below for these in your framework.
OWASP Top 10 for Web (2025)
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2026-78894
Vulnerability Data
DIRAC is an interware, meaning a software framework for distributed computing. Prior to versions 8.0.79, 9.0.22, and 9.1.10, the RequestManagementSystem/Service/ReqManagerHandler.py export_getRequestCountersWeb function passes an authenticated caller-controlled groupingAttribute to RequestManagementSystem/DB/RequestDB.py getRequestCountersWeb. An unrecognized value is resolved against the Request object and…
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evaluated as Python code, allowing a crafted dunder attribute expression to reach operating-system functions and execute commands as the account running the DIRAC services. Successful exploitation can expose dirac.cfg, database passwords, stored proxies, and tokens, fully compromise the DIRAC system, and allow alteration of local log evidence. This issue is fixed in versions 8.0.79, 9.0.22, and 9.1.10.
- CWE(s)
Related Threats
MITRE ATT&CK Enterprise Techniques
CVEs Like This One
Affected Assets
Mitigating Controls
Control response
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V1.3.2
Mitigating Controls (NIST 800-53 r5) AI
Developer testing and code analysis can discover eval-injection flaws but does not stop their introduction.
Secure-development standards and tools can mandate safe coding patterns that avoid unsafe dynamic evaluation.
Input validation explicitly requires neutralizing untrusted data before it reaches dynamic evaluation constructs such as eval.
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 input neutralization and avoidance of unsafe dynamic evaluation.
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.
Secure development life cycle mandates input validation and safe coding practices that directly prevent eval injection.
Application security requirements include rules against dynamic code execution of untrusted input.
Secure architecture principles discourage unsafe dynamic evaluation constructs.
Secure coding explicitly requires neutralization of input before dynamic evaluation, directly mitigating eval injection.
Security testing in development can detect eval injection vulnerabilities before deployment.