Security Resilience

CVE-2023-4197

Dolibarr Erp\/Crm ≤ 18.0.1

Published
01 November 2023
Modified
21 November 2024
Patch / advisory
CVSS Score v3.1 7.5
Click a component to see what it means
Raw vectorCVSS:3.1/AV:N/AC:H/PR:L/UI:N/S:U/C:H/I:H/A:H
EPSS Score 0.36 98th percentile
Risk Priority 77 floored blend · peak EPSS

CVSS and EPSS are reproduced from their sources (NVD, FIRST EPSS). Risk Priority is our own derived reading, not an NVD score.

Summary

CVE-2023-4197 is a high-severity Improper Input Validation (CWE-20) vulnerability in Dolibarr Dolibarr Erp\/Crm. Its CVSS base score is 7.5 (High).

Operationally, ranked in the top 2% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog.

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-2023-4197 is an improper input validation flaw, also categorized under CWE-74, that affects Dolibarr ERP CRM versions up to and including 18.0.1. When a user creates a website, the application fails to strip certain PHP code from supplied input, allowing the injected code to be evaluated.

An authenticated attacker with low privileges can exploit the issue remotely by submitting crafted input during website creation. Successful exploitation grants the ability to execute arbitrary PHP, resulting in high impact to confidentiality, integrity, and availability under the CVSS vector AV:N/AC:H/PR:L/UI:N/S:U/C:H/I:H/A:H.

References point to a Dolibarr commit that resolves the input-handling defect and to a StarLabs advisory that documents the vulnerability and its remediation.

The associated EPSS score is currently 0.5332 with an identical peak value.

OWASP Top 10 for Web (2025)

EU & UK References

Vulnerability Data

Improper input validation in Dolibarr ERP CRM <= v18.0.1 fails to strip certain PHP code from user-supplied input when creating a Website, allowing an attacker to inject and evaluate arbitrary PHP code.

CWE(s)

Related Threats

CVEs Like This One

CVE-2025-67486Same product: Dolibarr Dolibarr Erp\/Crm
CVE-2025-69205Shared CWE-20, CWE-74
CVE-2023-5043Shared CWE-20, CWE-74
CVE-2020-13942Shared CWE-20, CWE-74
CVE-2024-45612Shared CWE-20, CWE-74
CVE-2026-34773Shared CWE-20, CWE-74
CVE-2024-11234Shared CWE-20, CWE-74
CVE-2023-38060Shared CWE-20, CWE-74
CVE-2025-50578Shared CWE-20, CWE-74
CVE-2025-13462Shared CWE-20, CWE-74

Affected Assets

dolibarr
dolibarr erp\/crm
≤ 18.0.1

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.

addresses: CWE-20 CWE-74

Security testing and evaluation at multiple SDLC stages directly detects missing or flawed input validation, with the required remediation process ensuring fixes are applied.

addresses: CWE-20

Security testing and developer training directly verify and enforce proper input validation, reducing exploitability of injection and malformed-data weaknesses.

addresses: CWE-20

Directly implements checks on information inputs to reject invalid data before processing.

addresses: CWE-74

Identifies indicators of injection attacks (command, SQL, LDAP, etc.) via anomaly and attack monitoring.

addresses: CWE-20

Spam protection mechanisms perform filtering and detection on inbound/outbound messages, directly compensating for missing or weak input validation of unsolicited content.

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.

A.8.15 Logging partial match
finds

Logging supports detection of injection attempts but does not prevent the weakness.

finds

Monitoring activities can identify active injection attacks after they occur.

blocks

A.8.25 mandates security requirements, secure coding guidelines, checkpoints, testing (incl. code scans) and developer training in the SDLC, which reaches a slice of input validation defects but leaves the majority (incomplete enforcement, second-order inputs, parser differentials, post-validation canonicalization) unaddressed as in the SA-3 and A.8.28 anchors.

blocks

Mandating input controls that include integrity checks and input validation ensures that untrusted data is examined before use, blocking the root cause of many injection and malformed-data weaknesses.

blocks

Security-by-design principles explicitly call for data validation and sanitization at every layer, reducing the chance that malformed or malicious input will be processed without scrutiny.

prevents

Requiring language-specific secure coding standards, peer review, SAST and documented mitigation of common programming errors forces validation of all inputs before they are trusted.

Hardening callouts derived

DISA STIG baselines are authored against specific weaknesses. Where this CVE cites a broad weakness class, the mapping is not asserted at that abstraction (owner ruling, 2026-09-25: grade only at Base and below), so no rule is shown here rather than a rule shown against the wrong grain.

  • No fine-grained STIG row for CWE-20, a class-level weakness, and none of its children carries one either.
  • No fine-grained STIG row for CWE-74, a class-level weakness, and none of its children carries one either.

References