CVE-2025-49131 (GCVE-0-2025-49131)
Vulnerability from cvelistv5 – Published: 2025-06-09 12:42 – Updated: 2025-06-09 14:40
VLAI
EPSS
VEX
Title
FastGPT Sandbox Vulnerable to Sandbox Bypass
Summary
FastGPT is an open-source project that provides a platform for building, deploying, and operating AI-driven workflows and conversational agents. The Sandbox container (fastgpt-sandbox) is a specialized, isolated environment used by FastGPT to safely execute user-submitted or dynamically generated code in isolation. The sandbox before version 4.9.11 has insufficient isolation and inadequate restrictions on code execution by allowing overly permissive syscalls, which allows attackers to escape the intended sandbox boundaries. Attackers could exploit this to read and overwrite arbitrary files and bypass Python module import restrictions. This is patched in version 4.9.11 by restricting the allowed system calls to a safer subset and additional descriptive error messaging.
Severity
6.3 (Medium)
SSVC
Exploitation: poc
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2025-06-09 14:29 UTC
CWE
- CWE-732 - Incorrect Permission Assignment for Critical Resource
Assigner
References
5 references
| URL | Tags |
|---|---|
| https://github.com/labring/FastGPT/security/advis… | x_refsource_CONFIRM |
| https://github.com/labring/FastGPT/pull/4958 | x_refsource_MISC |
| https://github.com/labring/FastGPT/commit/bb810a4… | x_refsource_MISC |
| https://github.com/labring/FastGPT/pkgs/container… | x_refsource_MISC |
| https://github.com/labring/FastGPT/releases/tag/v4.9.11 | x_refsource_MISC |
Impacted products
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Sightings
| Author | Source | Type | Date | Other |
|---|
Nomenclature
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Vulnerability timeline
Sightings and recorded dates, grouped by day · UTC
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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.