CVE-2026-81030 (GCVE-0-2026-81030)
Vulnerability from cvelistv5 – Published: 2026-08-26 15:44 – Updated: 2026-08-26 16:05
VLAI
EPSS
VEX
Title
Mage AI through 0.9.79 Arbitrary File Read via Unvalidated Path in browser_items Endpoint
Summary
Mage AI does not confine the paths accepted by its browser-items API to the project directory. BrowserItemResource in mage_ai/api/resources/BrowserItemResource.py passes a caller-supplied path to the filesystem read and write helpers without calling the containment helper that the sibling FileContentResource and FileResource classes both use, so the resource contains no such call while those two contain several. A user holding the Viewer role, which grants read access within the project and nothing outside it, can therefore read any file the server process can read by supplying an absolute path. The permission model that would otherwise separate roles is not consulted for this route in the default configuration, because the setting that enables it defaults to false. Callers holding the Editor role additionally write through the same unconfined path, though that role is already able to execute code by design, so the boundary crossed by this flaw is the read available to the Viewer role.
Severity
SSVC
Exploitation: poc
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-08-26 16:05 UTC
CWE
- CWE-22 - Improper Limitation of a Pathname to a Restricted Directory ('Path Traversal')
Assigner
References
4 references
| URL | Tags |
|---|---|
| https://github.com/mage-ai/mage-ai | product |
| https://github.com/mage-ai/mage-ai/issues/6134 | issue-tracking |
| https://github.com/mage-ai/mage-ai/blob/0.9.79/ma… | technical-description |
| https://www.vulncheck.com/advisories/mage-ai-thro… | third-party-advisory |
Impacted products
Date Public
2026-08-26 00:00
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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.
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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