CVE Tools

CVE-2026-23500

Dolibarr: OS Command Injection (RCE) via MAIN_ODT_AS_PDF configuration

Published: Apr 17, 2026Updated: May 1, 2026 Sources: CVE List NVDCWE-78
9.1CVSSCRITICAL

Description

Dolibarr is an enterprise resource planning (ERP) and customer relationship management (CRM) software package. In versions prior to 23.0.0 , the ODT to PDF conversion process in odf.php concatenates the MAIN_ODT_AS_PDF configuration constant directly into a shell command passed to exec() without sanitization. An authenticated administrator can inject arbitrary OS commands via this constant using command separators, achieving remote code execution as the web server user when any ODT template is generated. This issue has been fixed in version 23.0.0.

CVSS Vector Breakdown

AV:NAC:LPR:HUI:NS:CC:HI:HA:H
Exploitability
AV:NAttack Vector
Network
AC:LAttack Complexity
Low
PR:HPrivileges Required
High
UI:NUser Interaction
None
Scope
S:CScope
Changed
Impact
C:HConfidentiality
High
I:HIntegrity
High
A:HAvailability
High

Weaknesses

Affected Products

dolibarross-projectFREnterprise Softwareaka dolibarr/dolibarr

Attack Graph

Products CVE Techniques Tactics

Click technique nodes to view MITRE ATT&CK details. Scroll to zoom, drag to pan.

Exploitability

Official Patch Available

MITRE ATT&CK

1 technique
Execution
View detailed technique mapping

References

Timeline

Published
Apr 17, 2026
Last Updated
May 1, 2026

Unlock Complete Vulnerability Intelligence

Get the full picture for CVE-2026-23500 and every CVE in our database. Create a free account — no credit card required.

Create Free Account
Plain-language analysis
Impact assessment and exploitation scenario in plain English
Attack graph visualization
Interactive attack path and kill chain mapping
Exploit details & PoC links
ExploitDB, Metasploit, GitHub PoCs with direct links
Nuclei scanner templates
Ready-to-use vulnerability scanner templates
Full remediation guide
Patch instructions, workarounds, and compliance impact
Interactive AI chat
Ask questions about this vulnerability in natural language
Related vulnerabilities
Semantically similar CVEs and attack patterns
REST API & MCP access
Integrate vulnerability data into your workflows