geldata gel-mcp 0.1.0 src/gel_mcp/server.py list_rules/fetch_rule rule_name path traversal
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 4.8 | $0-$5k | 0.00 |
Summary
A vulnerability has been found in geldata gel-mcp 0.1.0 and classified as critical. Affected is the function list_rules/fetch_rule of the file src/gel_mcp/server.py. This manipulation of the argument rule_name causes path traversal.
The identification of this vulnerability is CVE-2026-7403. It is possible to initiate the attack remotely. Furthermore, there is an exploit available.
The project was informed of the problem early through an issue report but has not responded yet.
Details
A vulnerability has been found in geldata gel-mcp 0.1.0 and classified as critical. Affected by this vulnerability is the function list_rules/fetch_rule of the file src/gel_mcp/server.py. The manipulation of the argument rule_name with an unknown input leads to a path traversal vulnerability. The CWE definition for the vulnerability is CWE-22. The product uses external input to construct a pathname that is intended to identify a file or directory that is located underneath a restricted parent directory, but the product does not properly neutralize special elements within the pathname that can cause the pathname to resolve to a location that is outside of the restricted directory. As an impact it is known to affect confidentiality.
It is possible to read the advisory at github.com. This vulnerability is known as CVE-2026-7403. The exploitation appears to be easy. The attack can be launched remotely. The exploitation doesn't need any form of authentication. Technical details and also a public exploit are known. The attack technique deployed by this issue is T1006 according to MITRE ATT&CK.
It is possible to download the exploit at github.com. It is declared as proof-of-concept. The project was informed of the problem early through an issue report but has not responded yet.
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-2026-26287). Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
Product
Type
Vendor
Name
Version
Website
- Product: https://github.com/geldata/gel-mcp/
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔒VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 5.3VulDB Meta Temp Score: 4.8
VulDB Base Score: 5.3
VulDB Temp Score: 4.8
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 |
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VulDB Base Score: 🔒
VulDB Temp Score: 🔒
VulDB Reliability: 🔍
Exploiting
Class: Path traversalCWE: CWE-22
CAPEC: 🔒
ATT&CK: 🔒
Physical: No
Local: No
Remote: Yes
Availability: 🔒
Access: Public
Status: Proof-of-Concept
Download: 🔒
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
04/29/2026 Advisory disclosed04/29/2026 VulDB entry created
04/30/2026 VulDB entry last update
Sources
Product: github.comAdvisory: github.com
Status: Not defined
CVE: CVE-2026-7403 (🔒)
GCVE (CVE): GCVE-0-2026-7403
GCVE (VulDB): GCVE-100-360139
EUVD: 🔒
scip Labs: https://www.scip.ch/en/?labs.20161013
Entry
Created: 04/29/2026 14:58Updated: 04/30/2026 00:31
Changes: 04/29/2026 14:58 (58), 04/30/2026 00:31 (1)
Complete: 🔍
Submitter: LargeW
Cache ID: 216::103
Submit
Accepted
- Submit #803530: geldata gel-mcp 0.1.0 Path Traversal (by LargeW)
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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