CVE-2026-81847 (GCVE-0-2026-81847)
Vulnerability from cvelistv5 – Published: 2026-08-27 22:15 – Updated: 2026-08-28 15:34 X_Open Source
VLAI
EPSS
VEX
Title
MAA-AI MaaMCP pipeline_tools.py load_pipeline path traversal
Summary
A vulnerability was found in MAA-AI MaaMCP up to 1.1.1.dev6+g2e4a41287. The affected element is the function save_pipeline/load_pipeline of the file pipeline_tools.py. Performing a manipulation results in path traversal. The attack can be initiated remotely. The exploit has been made public and could be used. The patch is named c93ef45cba75295eba26d9ff1ffb9202a91c6150. To fix this issue, it is recommended to deploy a patch.
Severity
SSVC
Exploitation: poc
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-08-28 15:34 UTC
CWE
- CWE-22 - Path Traversal
Assigner
References
8 references
| URL | Tags |
|---|---|
| https://vuldb.com/vuln/396172 | vdb-entrytechnical-description |
| https://vuldb.com/vuln/396172/cti | signaturepermissions-required |
| https://vuldb.com/cve/CVE-2026-81847 | third-party-advisory |
| https://vuldb.com/submit/887255 | third-party-advisory |
| https://github.com/MAA-AI/MaaMCP/issues/31 | exploitissue-tracking |
| https://github.com/MAA-AI/MaaMCP/issues/32 | issue-tracking |
| https://github.com/Zeeeepa/MaaMCP/commit/c93ef45c… | patch |
| https://github.com/MAA-AI/MaaMCP/ | product |
Impacted products
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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
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