CVE-2025-67486
Dolibarr Erp\/Crm ≤ 22.0.2
Raw vector
CVSS:4.0/AV:N/AC:L/AT:N/PR:H/UI:N/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:XCVSS and EPSS are reproduced from their sources (NVD, FIRST EPSS). Risk Priority is our own derived reading, not an NVD score.
Summary
CVE-2025-67486 is a high-severity Injection (CWE-74) vulnerability in Dolibarr Dolibarr Erp\/Crm. Its CVSS base score is 8.6 (High).
Operationally, ranked in the top 42% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog; a public proof-of-concept is referenced.
The strongest mitigations our analysis identified map to 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-2025-209752
Vulnerability Data
Dolibarr is an enterprise resource planning (ERP) and customer relationship management (CRM) software package. Versions 22.0.2 and earlier contains an authenticated remote code execution vulnerability in the user extrafields functionality. User-controlled input from the "computed value" field is passed to…
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PHP's `eval()` function without adequate sanitization, allowing authenticated administrators to execute arbitrary PHP code on the server. As of time of publication, no patched versions are available.
- CWE(s)
Related Threats
CVEs Like This One
Affected Assets
Mitigating Controls
Control response
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V1.2.1V1.2.3V1.2.5V1.2.8
Mitigating Controls (NIST 800-53 r5) AI
SI-10 directly requires validation of information inputs to reject malformed or special-element content before it reaches downstream parsers.
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 validation and output encoding that prevent injection flaws.
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.
Logging supports detection of injection attempts but does not prevent the weakness.
Monitoring activities can identify active injection attacks after they occur.
A.8.25 mandates a secure SDLC process that includes secure coding guidelines, security requirements, checkpoints, testing (scans/penetration), and developer training to reduce injection flaws, but does not itself enforce or guarantee neutralization of special elements at runtime.
Application security requirements explicitly call for controls against injection attacks in software design.
A.8.27 mandates security-by-design principles (including distrust external input, data validation/sanitization, secure architecture layers, and design reviews against attack patterns) that reach injection when applied to output construction; this stops exploitation for a minority slice (e.g. where principles drive sanitization) but leaves most code-level injection defects untouched without further implementation rigor.
Secure coding standards require proper neutralization of special elements, directly addressing CWE-74.