What is the CVSS score of CVE-2025-31494?

CVE-2025-31494 has a CVSS 3.1 base score of 3.5 (Low). CVSS vector: CVSS:3.1/AV:N/AC:L/PR:L/UI:R/S:U/C:L/I:N/A:N. EPSS exploitation probability: 0.2%.

How to fix or mitigate CVE-2025-31494?

During next maintenance window: Apply vendor patches when convenient. Verify information disclosure controls are in place.

Autogpt Platform CVE-2025-31494

LOW

Information Exposure (CWE-200)

2025-04-15 security-advisories@github.com

Information Disclosure Autogpt Platform Agpt

3.5

CVSS 3.1 · GitHub Advisory

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Vulnerability Assessment

Weakness	CWE CWE-200 OWASP Top 10:2025 A01:2025 - Broken Access Control ASVS 5.0 V14 - Data Protection Data exposure prevention MITRE ATT&CK 2 techniques across 2 tactics: Collection, Discovery The technique list with ATT&CK links and the kill-chain view is part of the Basic plan and up. Sign in to read
Impact	CVSS score of 3.5 (LOW). Attack characteristics: network attack vector, low complexity, low privileges required, user interaction required. EPSS exploitation probability: 0.19%.
Exploit ScenarioDerived	A remote attacker could access sensitive data that should not be disclosed by sending crafted requests to the affected application.

Monitor Track and reassess. Why: LOW severity (CVSS 0.1-3.9).

Patch available 0.2% exploitation probability (EPSS)

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AnalysisAIv1 – Mar 28, 2026

AutoGPT is a platform that allows users to create, deploy, and manage continuous artificial intelligence agents that automate complex workflows. Rated low severity (CVSS 3.5), this vulnerability is remotely exploitable, low attack complexity. This Exposure of Sensitive Information vulnerability could allow attackers to access sensitive data that should not be disclosed.

RemediationAI

A vendor patch is available. Apply the latest security update as soon as possible. Minimize information in error messages, implement proper access controls, encrypt sensitive data at rest and in transit.

Affects your stack

Find out whether the stacks and servers you run are on an affected version.

Checking this CVE against your own stacks and servers is part of the Basic plan and up.

Technical ContextAI · show details

This vulnerability is classified as Exposure of Sensitive Information (CWE-200), which allows attackers to access sensitive data that should not be disclosed. 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. Affected products include: Agpt Autogpt Platform.

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Exploit and PoC references, threat intelligence from 22 sources

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Severity by source

GitHub Advisory PRIMARY 3.5 LOW

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

Primary rating from GitHub Advisory · only source for this CVE.

CVSS VectorGitHub Advisory

Attack Vector

Network

Attack Complexity

Low

Privileges Required

Low

User Interaction

Required

Scope

Unchanged

Confidentiality

Low

Integrity

None

Availability

None

Lifecycle Timeline

Patch released

Mar 28, 2026 - 18:36 nvd

Patch available

CVE Published

Apr 15, 2025 - 00:15 nvd

LOW 3.5

DescriptionGitHub Advisory

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.

Executive ViewAI

Why It Matters

CVE-2025-31494 is a low-severity vulnerability in AutoGPT involving information exposure (CVSS 3.5). The limited severity suggests constrained impact, typically requiring specific conditions or local access for exploitation. A patch is available and can be applied during standard maintenance windows.

Business Impact: Low

Compensating Controls

Apply vendor patch during routine maintenance. Standard information disclosure mitigations apply if patching is delayed.

Threat Intelligence Overview

EPSS Score

0.2%

Top 59% exploitable

Data Quality

4 sources

Confidence: Medium

NVD

CVE.org

EPSS

GitHub

How this decision was reached

The engine reads each signal below and applies a fixed list of rules from top to bottom. The first rule that matches sets the recommended action – like a statement, every line is shown.

SignalValue

Severity LOW

CISA KEV No

Public POC No

EPSS 0.2%

Patch available Yes

Active threat No

Deciding rule

LOW severity (CVSS 0.1-3.9)

What every action level means

Emergency Immediate action required. Criteria: CRITICAL + in CISA KEV (actively exploited) without patch, OR CRITICAL + EPSS > 30% without patch, OR CRITICAL + active threat signals without patch.

Act Now Prioritize within 24-48h. Criteria: in KEV with patch available, OR CRITICAL + public POC, OR HIGH + EPSS > 10%, OR CRITICAL + active threat, OR any CRITICAL severity.

This Week Schedule remediation this week. Criteria: HIGH severity (CVSS 7.0-8.9). Patch within normal change window.

This Month Plan within 30 days. Criteria: MEDIUM severity (CVSS 4.0-6.9), lower exploitation probability. Include in regular patch cycle.

Monitor Track and reassess. Criteria: LOW severity (CVSS 0.1-3.9), minimal exploitation risk. No immediate action needed.

SSVC AssessmentENISA

SSVC Decision· derived

Defer

Exploitation· derived

None

System Exposure· derived

Open

Automatable· derived

Human Impact

Low

Priority Score

Low Medium High Critical

KEV: 0

EPSS: 0

CVSS: +18

PoC: 0

Weaponized: 0

Threat intel: 0

Gov advisory: 0

Attack Technique

Information Disclosure MEDIUM

Information disclosure occurs when an application unintentionally exposes sensitive data that aids attackers in reconnaissance or directly compromises security.