CVE-2025-49131

June 9, 2025, 1:15 p.m.

6.3
Medium

Description

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.

Product(s) Impacted

Vendor Product Versions
Fastgpt
  • Fastgpt
  • Fastgpt Sandbox
  • *
  • <4.9.11

Weaknesses

Common security weaknesses mapped to this vulnerability.

CWE-732
Incorrect Permission Assignment for Critical Resource
The product specifies permissions for a security-critical resource in a way that allows that resource to be read or modified by unintended actors.

*CPE(s)

Affected systems and software identified for this CVE.

Type Vendor Product Version Update Edition Language Software Edition Target Software Target Hardware Other Information
a fastgpt fastgpt / / / / / / / /
a fastgpt fastgpt_sandbox <4.9.11 / / / / / /

CVSS Score

6.3 / 10

CVSS Data - 3.1

  • Attack Vector: NETWORK
  • Attack Complexity: LOW
  • Privileges Required: LOW
  • Scope: UNCHANGED
  • Confidentiality Impact: LOW
  • Integrity Impact: LOW
  • Availability Impact: LOW
  • CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:L/A:L

    View Vector String

Timeline

Published: June 9, 2025, 1:15 p.m.
Last Modified: June 9, 2025, 1:15 p.m.

Status : Received

CVE has been recently published to the CVE List and has been received by the NVD.

More info

Source

security-advisories@github.com

*Disclaimer: Some vulnerabilities do not have an associated CPE. To enhance the data, we use AI to infer CPEs based on CVE details. This is an automated process and might not always be accurate.