Dolibarr ERP CRM up to 23.0.2 Online Signature security.lib.php dol_verifyHash signature verification
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 3.4 | $0-$5k | 0.00 |
Summary
A vulnerability identified as problematic has been detected in Dolibarr ERP CRM up to 23.0.2. This issue affects the function dol_verifyHash in the library htdocs/core/lib/security.lib.php of the component Online Signature Module. This manipulation causes signature verification.
The identification of this vulnerability is CVE-2026-7689. It is possible to initiate the attack remotely. Furthermore, there is an exploit available.
The vendor was contacted early about this disclosure but did not respond in any way.
Details
A vulnerability has been found in Dolibarr ERP CRM up to 23.0.2 and classified as problematic. Affected by this vulnerability is the function dol_verifyHash in the library htdocs/core/lib/security.lib.php of the component Online Signature Module. The manipulation with an unknown input leads to a signature verification vulnerability. The CWE definition for the vulnerability is CWE-347. The product does not verify, or incorrectly verifies, the cryptographic signature for data. As an impact it is known to affect integrity.
It is possible to read the advisory at gist.github.com. This vulnerability is known as CVE-2026-7689. The exploitation appears to be difficult. The attack can be launched remotely. The exploitation doesn't need any form of authentication. Technical details and also a public exploit are known.
It is possible to download the exploit at gist.github.com. It is declared as proof-of-concept. The vendor was contacted early about this disclosure but did not respond in any way. By approaching the search of inurl:htdocs/core/lib/security.lib.php it is possible to find vulnerable targets with Google Hacking.
There is no information about possible countermeasures known. It may be suggested to replace the affected object with an alternative product.
The vulnerability is also documented in the vulnerability database at EUVD (EUVD-2026-26827). Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
Product
Type
Vendor
Name
Version
License
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔒VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 3.7VulDB Meta Temp Score: 3.4
VulDB Base Score: 3.7
VulDB Temp Score: 3.4
VulDB Vector: 🔒
VulDB Reliability: 🔍
CVSSv2
| AV | AC | Au | C | I | A |
|---|---|---|---|---|---|
| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| Vector | Complexity | Authentication | Confidentiality | Integrity | Availability |
|---|---|---|---|---|---|
| Unlock | Unlock | Unlock | Unlock | Unlock | Unlock |
| Unlock | Unlock | Unlock | Unlock | Unlock | Unlock |
| Unlock | Unlock | Unlock | Unlock | Unlock | Unlock |
VulDB Base Score: 🔒
VulDB Temp Score: 🔒
VulDB Reliability: 🔍
Exploiting
Class: Signature verificationCWE: CWE-347 / CWE-345
CAPEC: 🔒
ATT&CK: 🔒
Physical: No
Local: No
Remote: Yes
Availability: 🔒
Access: Public
Status: Proof-of-Concept
Download: 🔒
Google Hack: 🔒
EPSS Score: 🔒
EPSS Percentile: 🔒
Price Prediction: 🔍
Current Price Estimation: 🔒
| 0-Day | Unlock | Unlock | Unlock | Unlock |
|---|---|---|---|---|
| Today | Unlock | Unlock | Unlock | Unlock |
Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: no mitigation knownStatus: 🔍
0-Day Time: 🔒
Timeline
05/02/2026 Advisory disclosed05/02/2026 VulDB entry created
05/04/2026 VulDB entry last update
Sources
Advisory: gist.github.comStatus: Not defined
CVE: CVE-2026-7689 (🔒)
GCVE (CVE): GCVE-0-2026-7689
GCVE (VulDB): GCVE-100-360859
EUVD: 🔒
scip Labs: https://www.scip.ch/en/?labs.20161013
Entry
Created: 05/02/2026 18:32Updated: 05/04/2026 06:06
Changes: 05/02/2026 18:32 (58), 05/04/2026 06:06 (1)
Complete: 🔍
Submitter: yan1451
Cache ID: 216::103
Submit
Accepted
- Submit #801794: Dolibarr Dolibarr ERP/CRM 23.0.2 Authentication Bypass Issues (by yan1451)
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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