CVE-2026-7216 (GCVE-0-2026-7216)
Vulnerability from cvelistv5 – Published: 2026-04-28 02:15 – Updated: 2026-04-28 14:32
VLAI
EPSS
VEX
Title
donchelo processing-claude-mcp-bridge create_sketch Tool processing_server.py path traversal
Summary
A weakness has been identified in donchelo processing-claude-mcp-bridge up to e017b20a4b592a45531a6392f494007f04e661bd. Impacted is an unknown function of the file processing_server.py of the component create_sketch Tool. This manipulation of the argument sketch_name causes path traversal. Remote exploitation of the attack is possible. The exploit has been made available to the public and could be used for attacks. This product follows a rolling release approach for continuous delivery, so version details for affected or updated releases are not provided. The project was informed of the problem early through an issue report but has not responded yet.
Severity
SSVC
Exploitation: poc
Automatable: yes
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-04-28 14:32 UTC
CWE
- CWE-22 - Path Traversal
Assigner
References
5 references
| URL | Tags |
|---|---|
| https://vuldb.com/vuln/359816 | vdb-entrytechnical-description |
| https://vuldb.com/vuln/359816/cti | signaturepermissions-required |
| https://vuldb.com/submit/802090 | third-party-advisory |
| https://github.com/donchelo/processing-claude-mcp… | exploitissue-tracking |
| https://github.com/donchelo/processing-claude-mcp… | product |
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| donchelo | processing-claude-mcp-bridge |
Affected:
e017b20a4b592a45531a6392f494007f04e661bd
|
guessed |
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Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.
Sightings
| Author | Source | Type | Date | Other |
|---|
Nomenclature
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- Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.
Vulnerability timeline
Sightings and recorded dates, grouped by day · UTC
How durations are calculated
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The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the
vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base
model, served locally by ML-Gateway.
They have not been verified by an analyst and are provided for guidance only.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
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The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
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Related by attack behaviour
Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.