Significant-Gravitas AutoGPT up to 0.6.0 information disclosure

CVSS Meta Temp Score
CVSS is a standardized scoring system to determine possibilities of attacks. The Temp Score considers temporal factors like disclosure, exploit and countermeasures. The unique Meta Score calculates the average score of different sources to provide a normalized scoring system.
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CTI Interest Score
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3.7$0-$5k0.00

Summaryinfo

A vulnerability identified as problematic has been detected in Significant-Gravitas AutoGPT up to 0.6.0. Affected is an unknown function. Performing a manipulation results in information disclosure. This vulnerability is reported as CVE-2025-31494. The attack is possible to be carried out remotely. No exploit exists. You should upgrade the affected component.

Detailsinfo

A vulnerability classified as problematic has been found in Significant-Gravitas AutoGPT up to 0.6.0. This affects some unknown functionality. The manipulation with an unknown input leads to a information disclosure vulnerability. CWE is classifying the issue as CWE-200. The product exposes sensitive information to an actor that is not explicitly authorized to have access to that information. This is going to have an impact on confidentiality. The summary by CVE is:

AutoGPT is a platform that allows users to create, deploy, and manage continuous artificial intelligence agents that automate complex workflows. The AutoGPT Platform's WebSocket API transmitted node execution updates to subscribers based on the graph_id+graph_version. Additionally, there was no check prohibiting users from subscribing with another user's graph_id+graph_version. As a result, node execution updates from one user's graph execution could be received by another user within the same instance. This vulnerability does not occur between different instances or between users and non-users of the platform. Single-user instances are not affected. In private instances with a user white-list, the impact is limited by the fact that all potential unintended recipients of these node execution updates must have been admitted by the administrator. This vulnerability is fixed in 0.6.1.

The advisory is shared at github.com. This vulnerability is uniquely identified as CVE-2025-31494 since 03/28/2025. The exploitability is told to be easy. It is possible to initiate the attack remotely. Neither technical details nor an exploit are publicly available. MITRE ATT&CK project uses the attack technique T1592 for this issue.

Upgrading to version 0.6.1 eliminates this vulnerability. The upgrade is hosted for download at github.com. Applying a patch is able to eliminate this problem. The bugfix is ready for download at github.com. The best possible mitigation is suggested to be upgrading to the latest version.

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Productinfo

Vendor

Name

Version

Website

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔍
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 3.8
VulDB Meta Temp Score: 3.7

VulDB Base Score: 4.3
VulDB Temp Score: 4.1
VulDB Vector: 🔍
VulDB Reliability: 🔍

NVD Base Score: 3.5
NVD Vector: 🔍

CNA Base Score: 3.5
CNA Vector (GitHub_M): 🔍

CVSSv2info

AVACAuCIA
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VectorComplexityAuthenticationConfidentialityIntegrityAvailability
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VulDB Base Score: 🔍
VulDB Temp Score: 🔍
VulDB Reliability: 🔍

Exploitinginfo

Class: Information disclosure
CWE: CWE-200 / CWE-284 / CWE-266
CAPEC: 🔍
ATT&CK: 🔍

Physical: No
Local: No
Remote: Yes

Availability: 🔍
Status: Not defined

EPSS Score: 🔍
EPSS Percentile: 🔍

Price Prediction: 🔍
Current Price Estimation: 🔍

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Threat Intelligenceinfo

Interest: 🔍
Active Actors: 🔍
Active APT Groups: 🔍

Countermeasuresinfo

Recommended: Upgrade
Status: 🔍

0-Day Time: 🔍

Upgrade: AutoGPT 0.6.1
Patch: github.com

Timelineinfo

03/28/2025 🔍
04/15/2025 +17 days 🔍
04/15/2025 +0 days 🔍
08/25/2025 +132 days 🔍

Sourcesinfo

Product: github.com

Advisory: GHSA-958f-37vw-jx8f
Status: Confirmed

CVE: CVE-2025-31494 (🔍)
GCVE (CVE): GCVE-0-2025-31494
GCVE (VulDB): GCVE-100-304677

Entryinfo

Created: 04/15/2025 03:13
Updated: 08/25/2025 05:30
Changes: 04/15/2025 03:13 (66), 08/25/2025 05:30 (12)
Complete: 🔍
Cache ID: 216::103

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