CVE-2026-45293
Raw vector
CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:C/C:H/I:H/A:HCVSS and EPSS are reproduced from their sources (NVD, FIRST EPSS). EPSS scores by FIRST (EPSS SIG), generated by Empirical Security. Risk Priority is our own derived reading, not an NVD score.
Summary
CVE-2026-45293 is a high-severity Eval Injection (CWE-95) vulnerability. Its CVSS base score is 8.6 (High).
Operationally, exploitation aligns with the MITRE ATT&CK technique Command and Scripting Interpreter (T1059); ranked at the 15th 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 SI-10 (Information Input Validation) — see the control section below for these in your framework.
OWASP Top 10 for Web (2025)
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2026-49877
Vulnerability Data
WordPress Coding Standards is a set of PHP_CodeSniffer rules (sniffs) that enforce WordPress coding conventions. From 0.14.1 until 3.4.1, the WordPress.WP.EnqueuedResourceParameters sniff (active in the WordPress and WordPress-Extra rulesets) reconstructed the $ver argument passed to functions such as wp_enqueue_script() and…
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ran it through eval() inside its is_falsy() method, so a maliciously crafted argument such as 'system'('id') would execute during a scan; as a result, running PHPCS with WordPressCS over untrusted PHP (for example a CI pipeline that lints pull requests, or a developer reviewing third-party code) could lead to arbitrary command execution on the scanning host. The WordPress-Core and WordPress-Docs rulesets are not affected. This issue is fixed in version 3.4.1.
- 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.
Input validation explicitly requires neutralizing untrusted data before it reaches dynamic evaluation constructs such as eval.
Secure-development standards and tools can mandate safe coding patterns that avoid unsafe dynamic evaluation.
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.
Security testing in development can detect eval injection vulnerabilities before deployment.
Secure coding explicitly requires neutralization of input before dynamic evaluation, directly mitigating eval injection.