What is the CVSS score of CVE-2025-62615?

CVE-2025-62615 has a CVSS 3.1 base score of 9.8 (Critical). CVSS vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H. EPSS exploitation probability: 0.1%.

Is there a public PoC exploit available for CVE-2025-62615?

Yes, a public proof-of-concept exploit is available for CVE-2025-62615. Prioritise patching immediately. EPSS: 0.1%.

How to fix or mitigate CVE-2025-62615?

Within 24 hours: Identify all AutoGPT instances in your environment and isolate them from production networks; disable AutoGPT deployments if business continuity permits. Within 7 days: Conduct forensic audit of AutoGPT logs for suspicious agent creation, API calls, and data access; notify stakeholders of potential exposure. Within 30 days: Implement compensating controls (network segmentation, WAF rules, API throttling); maintain isolation until vendor releases patch; evaluate alternative orchestration platforms.

AI / ML CVE-2025-62615

CRITICAL

Server-Side Request Forgery (SSRF) (CWE-918)

2026-02-04 security-advisories@github.com

SSRF AI / ML Autogpt Platform Agpt

9.8

CVSS 3.1 · GitHub Advisory

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Vulnerability Assessment

Weakness	CWE CWE-918 OWASP Top 10:2025 A01:2025 - Broken Access Control ASVS 5.0 V4 - API and Web Service URL allowlisting, SSRF prevention MITRE ATT&CK 2 techniques across 2 tactics: Initial Access, Credential Access 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 9.8 with PoC. AutoGPT often runs with access to various APIs and internal services — SSRF enables accessing those services from the attacker's perspective.
Exploit ScenarioDerived	An attacker exploits the SSRF to access cloud metadata endpoints, internal APIs, or other services behind the firewall through the AutoGPT instance.

Act Now Prioritize within 24-48h. Why: CRITICAL severity + public POC available.

No patch listed yet 0.1% exploitation probability (EPSS)

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AnalysisAIv1 – Mar 12, 2026

AutoGPT has a Server-Side Request Forgery vulnerability (CVSS 9.8) allowing unauthenticated attackers to make the AI platform access internal network resources.

Earlier versions of this analysis (1)

v1 Mar 12, 2026 - 21:54 CVSS 9.8

SSRF in AutoGPT enables access to internal network from AI platform.

RemediationAI

Update AutoGPT. Implement URL allowlisting and block internal IP ranges.

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

AutoGPT has a CWE-918 SSRF vulnerability that allows unauthenticated attackers to make the platform send requests to arbitrary internal and external destinations.

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Exploit and PoC references, threat intelligence from 22 sources

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Severity by source

GitHub Advisory PRIMARY 9.8 CRITICAL

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

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

CVSS VectorGitHub Advisory

Attack Vector

Network

Attack Complexity

Low

Privileges Required

None

User Interaction

None

Scope

Unchanged

Confidentiality

High

Integrity

High

Availability

High

Lifecycle Timeline

PoC Detected

Feb 17, 2026 - 19:57 vuln.today

Public exploit code

CVE Published

Feb 04, 2026 - 23:15 nvd

CRITICAL 9.8

DescriptionGitHub Advisory

AutoGPT is a platform that allows users to create, deploy, and manage continuous artificial intelligence agents that automate complex workflows. Prior to autogpt-platform-beta-v0.6.34, in RSSFeedBlock, the third-party library urllib.request.urlopen is used directly to access the URL, but the input URL is not filtered, which will cause SSRF vulnerability. This issue has been patched in autogpt-platform-beta-v0.6.34.

Executive ViewAI

Why It Matters

A critical vulnerability (CVSS 9.8) in AutoGPT enables unauthenticated attackers to compromise AI agent platforms and automate malicious workflows at scale. Organizations using AutoGPT for business automation face immediate risk of unauthorized access, data exfiltration, and operational disruption, with active exploits already circulating.

Business Impact: Severe

Compensating Controls

Network segmentation: isolate AutoGPT infrastructure to restricted VLANs with egress filtering. Implement WAF rules to block suspicious API requests and agent creation endpoints. Disable public API exposure and require VPN for all access. Enable request throttling and rate limiting on agent endpoints. Monitor all agent executions and block any agents created after vulnerability disclosure. Require multi-factor authentication for all AutoGPT administrative access. Consider operational shutdown until patch availability is confirmed.

Threat Intelligence Overview

EPSS Score

0.1%

Top 82% exploitable

Exploit

POC

Public exploit code exists

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 CRITICAL

CISA KEV No

Public POC Yes

EPSS 0.1%

Patch available No

Active threat No

Deciding rule

CRITICAL severity + public POC available

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

Out-of-Cycle

Exploitation· derived

Poc

System Exposure· derived

Open

Automatable· derived

Yes

Human Impact

Very High

Priority Score

Low Medium High Critical

KEV: 0

EPSS: 0

CVSS: +49

PoC: +20

Weaponized: 0

Threat intel: 0

Gov advisory: 0

Attack Technique

Server-Side Request Forgery HIGH

Server-Side Request Forgery exploits applications that fetch remote resources based on user-supplied URLs.

Affected Products (CPE)GitHub Advisory

cpe:2.3:a:agpt:autogpt_platform:*:*:*:*:*:*:*:*

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