CVE-2023-4197
Published: 01 November 2023
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 2.0% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog.
Deeper analysis
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.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2023-3025
Vulnerability details
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
No named actor attribution yet. ATT&CK technique mapping in progress for this CVE.
Affected Assets
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.
Security testing and evaluation at multiple SDLC stages directly detects missing or flawed input validation, with the required remediation process ensuring fixes are applied.
Security testing and developer training directly verify and enforce proper input validation, reducing exploitability of injection and malformed-data weaknesses.
Directly implements checks on information inputs to reject invalid data before processing.
Identifies indicators of injection attacks (command, SQL, LDAP, etc.) via anomaly and attack monitoring.
Spam protection mechanisms perform filtering and detection on inbound/outbound messages, directly compensating for missing or weak input validation of unsolicited content.