ravenwits mcp-server-arangodb up to 0.4.7 MCP Interface src/tools.ts arango_backup outputDir path traversal
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 5.7 | $0-$5k | 0.00 |
Summary
A vulnerability classified as critical has been found in ravenwits mcp-server-arangodb up to 0.4.7. This vulnerability affects the function arango_backup of the file src/tools.ts of the component MCP Interface. Performing a manipulation of the argument outputDir results in path traversal.
This vulnerability is identified as CVE-2026-7715. The attack can be initiated remotely. Additionally, an exploit exists.
The project was informed of the problem early through an issue report but has not responded yet.
Details
A vulnerability classified as critical has been found in ravenwits mcp-server-arangodb up to 0.4.7. This affects the function arango_backup of the file src/tools.ts of the component MCP Interface. The manipulation of the argument outputDir with an unknown input leads to a path traversal vulnerability. CWE is classifying the issue as 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. This is going to have an impact on confidentiality, integrity, and availability.
It is possible to read the advisory at github.com. This vulnerability is uniquely identified as CVE-2026-7715. The exploitability is told to be easy. It is possible to initiate the attack remotely. Technical details and a public exploit are known. The attack technique deployed by this issue is T1006 according to MITRE ATT&CK.
The exploit is shared for download 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-2026-26866). Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
Product
Type
Vendor
Name
Version
Website
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔒VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 6.3VulDB Meta Temp Score: 5.7
VulDB Base Score: 6.3
VulDB Temp Score: 5.7
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
05/03/2026 Advisory disclosed05/03/2026 VulDB entry created
05/04/2026 VulDB entry last update
Sources
Product: github.comAdvisory: github.com
Status: Not defined
CVE: CVE-2026-7715 (🔒)
GCVE (CVE): GCVE-0-2026-7715
GCVE (VulDB): GCVE-100-360891
EUVD: 🔒
scip Labs: https://www.scip.ch/en/?labs.20161013
Entry
Created: 05/03/2026 10:06Updated: 05/04/2026 04:51
Changes: 05/03/2026 10:06 (59), 05/04/2026 04:51 (1)
Complete: 🔍
Submitter: BruceJqs
Cache ID: 216::103
Submit
Accepted
- Submit #806913: ravenwits mcp-server-arangodb 0.4.7 Path Traversal (by BruceJqs)
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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