VulnerabilityPublished 9 Jun 2025

CVE-2025-49131: labring FastGPT · Incorrect Permissions

Affects labring FastGPTSource CVE Database V5

Not known to be exploited · CVSS 6.3 Medium : upgrade to 4.9.11 when convenient.

Data as of 26 Oct 2026, 14:05 UTC

CVSS 3.1 base score

6.3Medium

How severe the flaw is on the 0–10 CVSS scale.

EPSS: 0.4% chance of exploitation in 30 days – higher than 39% of CVEsExploit Prediction Scoring System: the likelihood attackers will use this flaw soon.
Patch: Available – fixed in 4.9.11

CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:L/A:L

Attack Vector: Network
Attack Complexity: Low
Privileges Required: Low
User Interaction: None
Scope: Unchanged
Confidentiality: Low
Integrity: Low
Availability: Low

Bold values are the worst case: easiest to exploit or largest impact.

Attack Vector: Network: The vulnerable component is bound to the network stack and the set of possible attackers extends beyond the other options listed, up to and including the entire Internet. Such a vulnerability is often termed 'remotely exploitable' and can be thought of as an attack being exploitable at the protocol level one or more network hops away (e.g., across one or more routers).
Attack Complexity: Low: Specialized access conditions or extenuating circumstances do not exist. An attacker can expect repeatable success against the vulnerable component.
Privileges Required: Low: The attacker is authorized with (i.e., requires) privileges that provide basic user capabilities that could normally affect only settings and files owned by a user. Alternatively, an attacker with Low privileges may have the ability to cause an impact only to non-sensitive resources.
User Interaction: None: The vulnerable system can be exploited without any interaction from any user.
Scope: Unchanged: An exploited vulnerability can only affect resources managed by the same security authority. In this case, the vulnerable component and the impacted component are either the same, or both are managed by the same security authority.
Confidentiality: Low: There is some loss of confidentiality. Access to some restricted information is obtained, but the attacker does not have control over what information is obtained, or the amount or kind of loss is limited. The information disclosure does not cause a direct, serious loss to the impacted component.
Integrity: Low: Modification of data is possible, but the attacker does not have control over the consequence of a modification, or the amount of modification is limited. The data modification does not have a direct, serious impact on the impacted component.
Availability: Low: Performance is reduced or there are interruptions in resource availability. Even if repeated exploitation of the vulnerability is possible, the attacker does not have the ability to completely deny service to legitimate users. The resources in the impacted component are either partially available all of the time, or fully available only some of the time, but overall there is no direct, serious consequence to the impacted component.

Definitions: FIRST CVSS v3.1 specification.

Exploitation evidence

Disclosed: evidence found.
CVE published 9 Jun 2025
Detectable: no evidence on record.
No public nuclei template indexed
Weaponised: no evidence on record.
No public exploit code indexed in Metasploit or Exploit-DB
Exploited in the wildExploited: no evidence on record.
Not in CISA KEV and no source reports exploitation
Observed by OffSeq MirageSeen by Mirage: no evidence on record.
No attack traffic recorded by OffSeq Mirage sensors

A missing step is not evidence of safety. Sources: cve.org (opens in a new tab), the Metasploit, Exploit-DB and nuclei-templates index as of 26 Oct 2026.

Disclosed: The CVE record is public on cve.org. Its publication is t = 0.
Detectable: A public nuclei template can find exposed instances, for defenders and attackers alike.
Weaponised: Public exploit code exists in Metasploit or Exploit-DB, or CISA SSVC or the CVSS exploit maturity reports a public proof of concept.
Exploited in the wild: CISA KEV lists it, CISA SSVC rates exploitation active, or a source reports attacks.
Observed by OffSeq Mirage: OffSeq Mirage honeypot sensors recorded attack traffic for this CVE, or found exposed hosts without attack traffic.

Moments are spaced evenly, not to scale; a dashed line marks a gap of six months or more. Deltas count from t = 0. Sources that give only a date (CISA KEV, Exploit-DB, or a time of exactly 00:00Z) read “same day” rather than hours. Metasploit modules carry the flaw’s disclosure date, not their release date, and nuclei templates carry no date, so both appear above but not on the timeline.

What to do

Upgrade labring/FastGPT to 4.9.11.

Affected software

Product	Affected	Fixed in
GitHublabring/FastGPT`pkg:github/labring/FastGPT`Other threats	Affected <4.9.11	Fixed in 4.9.11

Check your own hosts for these packages with threat-finder (opens in a new tab), our free open-source scanner.

AI-suggested

European organizations should immediately upgrade FastGPT to version 4.9.11 or later to benefit from the patched syscall restrictions and enhanced sandbox isolation. Beyond upgrading, organizations should implement strict network segmentation and access controls around FastGPT deployment environments to limit exposure. Employ runtime monitoring and anomaly detection focused on syscall patterns and container escape attempts to detect exploitation attempts early. Restrict privileges of FastGPT processes and sandbox containers using Linux security modules (e.g., SELinux, AppArmor) and container security best practices to minimize the blast radius if exploitation occurs. Conduct regular code audits and penetration testing on AI workflow environments to identify potential sandbox bypasses or misconfigurations. Additionally, organizations should maintain up-to-date incident response plans tailored to AI platform compromises and ensure logging of sandbox activity for forensic analysis. Finally, educating developers and operators on secure sandbox usage and the risks of permissive syscall policies will help prevent similar vulnerabilities.

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.

Impact

For European organizations deploying FastGPT, especially those using versions prior to 4.9.11, this vulnerability poses a tangible risk of sandbox escape leading to unauthorized access and modification of sensitive files and data. Organizations leveraging FastGPT for AI workflows in sectors such as finance, healthcare, or critical infrastructure could face data breaches, intellectual property theft, or disruption of AI services. The ability to bypass Python module import restrictions may allow attackers to execute arbitrary or malicious code, potentially compromising the host system or lateral movement within the network. Given the increasing adoption of AI-driven automation and conversational agents in Europe, exploitation could undermine trust in AI platforms and cause regulatory compliance issues under GDPR if personal data is exposed. Although no active exploits are known, the ease of exploitation (low complexity, network accessible) and the critical role of sandboxing in securing AI workloads elevate the threat level. The impact extends beyond confidentiality to integrity and availability, as attackers could modify or delete files or disrupt AI service operations.

CWE-732Incorrect Permission Assignment for Critical Resource (opens in a new tab)
Class weaknessLikelihood of exploit: HighOWASP Top 10 A01:2025: Broken Access Control (opens in a new tab)
The product specifies permissions for a security-critical resource in a way that allows that resource to be read or modified by unintended actors.
Implementation
When using a critical resource such as a configuration file, check to see if the resource has insecure permissions (such as being modifiable by any regular user), and generate an error or even exit the software if there is a possibility that the resource could have been modified by an unauthorized party.
Architecture and Design
Divide the software into anonymous, normal, privileged, and administrative areas. Reduce the attack surface by carefully defining distinct user groups, privileges, and/or roles. Map these against data, functionality, and the related resources. Then set the permissions accordingly.
Architecture and Design · Operation · Sandbox or Jail
Run the code in a "jail" or similar sandbox environment that enforces strict boundaries between the process and the operating system. This may effectively restrict which files can be accessed in a particular directory or which commands can be executed by the software.
OWASP Cheat Sheets
REST Assessment (opens in a new tab)
Authorization (opens in a new tab)
OWASP ASVS 4.0.3
V4.3.3 (opens in a new tab)
V8.3.8 (opens in a new tab)
V13.4.2 (opens in a new tab)
Attack patterns
Accessing Functionality Not Properly Constrained by ACLs (opens in a new tab)
Directory Indexing (opens in a new tab)
Using Malicious Files (opens in a new tab)
Exploiting Incorrectly Configured Access Control Security Levels (opens in a new tab)
Signing Malicious Code (opens in a new tab)
From MITRE CWE, MITRE CAPEC and OWASP (Top 10, OpenCRE).

References

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Exploitation evidence

What to do

Affected software

Description

AI analysisMachine-generated, updated 9 Jul 2025, 14:09 UTC

WeaknessesCWE-732

Technical details

References

Community reviews

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