CVE-2026-10662 (GCVE-0-2026-10662)
Vulnerability from cvelistv5 – Published: 2026-06-02 22:00 – Updated: 2026-06-03 13:28 X_Open Source
VLAI
EPSS
VEX
Title
ahujasid blender-mcp ZIP File server.py requests.get server-side request forgery
Summary
A vulnerability was found in ahujasid blender-mcp up to 7636d13bded82eca58eb93c3f4cd8708dfdfbe8b. The affected element is the function requests.get of the file src/blender_mcp/server.py of the component ZIP File Handler. The manipulation of the argument zip_file_url results in server-side request forgery. The attack can be executed remotely. The exploit has been made public and could be used. This product implements a rolling release for ongoing delivery, which means version information for affected or updated releases is unavailable. The patch is identified as 5b37be25242e73dc4cf1328974d30458b9e5d67e. It is advisable to implement a patch to correct this issue.
Severity
SSVC
Exploitation: poc
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-06-03 13:28 UTC
CWE
- CWE-918 - Server-Side Request Forgery
Assigner
References
8 references
| URL | Tags |
|---|---|
| https://vuldb.com/vuln/367957 | vdb-entrytechnical-description |
| https://vuldb.com/vuln/367957/cti | signaturepermissions-required |
| https://vuldb.com/cve/CVE-2026-10662 | third-party-advisory |
| https://vuldb.com/submit/830488 | third-party-advisory |
| https://github.com/ahujasid/blender-mcp/issues/203 | exploitissue-tracking |
| https://github.com/ahujasid/blender-mcp/pull/205 | issue-trackingpatch |
| https://github.com/bergskenop/blender-mcp/commit/… | patch |
| https://github.com/ahujasid/blender-mcp/ | product |
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| ahujasid | blender-mcp |
Affected:
7636d13bded82eca58eb93c3f4cd8708dfdfbe8b
cpe:2.3:a:ahujasid:blender-mcp:*:*:*:*:*:*:*:* |
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Experimental. This forecast is provided for visualization only and may change without notice. Do not use it for operational decisions.
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
- Seen: The vulnerability was mentioned, discussed, or observed by the user.
- Confirmed: The vulnerability has been validated from an analyst's perspective.
- Published Proof of Concept: A public proof of concept is available for this vulnerability.
- Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
- Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
- Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
- Not confirmed: The user expressed doubt about the validity of the vulnerability.
- Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.
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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.
Browse all ATT&CK techniques and the vulnerabilities related to each.
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.
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