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VulnerabilityPublished

CVE-2025-62615: Significant-Gravitas AutoGPT · Server-Side Request Forgery (SSRF)

Affects Significant-Gravitas AutoGPTSource CVE Database V5

0

Not known to be exploited · CVSS 9.3 Critical.

Data as of 26 Oct 2026, 09:08 UTC

CVSS 4.0 base score
9.3Critical
How severe the flaw is on the 0–10 CVSS scale.
EPSS
0.4% chance of exploitation in 30 days – higher than 35% of CVEsExploit Prediction Scoring System: the likelihood attackers will use this flaw soon.
CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:H/VI:H/VA:N/SC:N/SI:N/SA:N

Exploitation evidence

  1. Disclosed: evidence found.

    CVE published 4 Feb 2026

  2. Detectable: no evidence on record.

    No public nuclei template indexed

  3. Weaponised: no evidence on record.

    No public exploit code indexed in Metasploit or Exploit-DB

  4. Exploited in the wild: no evidence on record.

    Not in CISA KEV and no source reports exploitation

  5. Observed by OffSeq 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.

What to do

Affected software

ProductAffectedFixed in
Significant-GravitasAutoGPTAffected
  • =< autogpt-platform-beta-v0.6.34
Fixed in–

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AI-suggested

European organizations should immediately upgrade AutoGPT to version autogpt-platform-beta-v0.6.34 or later where the SSRF vulnerability is patched. Until the update is applied, implement strict network egress filtering to restrict outbound HTTP/HTTPS requests from AutoGPT servers to only trusted destinations. Employ web application firewalls (WAFs) with SSRF detection rules to monitor and block suspicious URL requests. Conduct thorough input validation and sanitization on any user-supplied URLs before processing. Isolate AutoGPT instances within segmented network zones with limited access to internal resources. Regularly audit and monitor logs for unusual outbound requests indicative of SSRF exploitation attempts. Finally, educate development and security teams about SSRF risks and secure coding practices to prevent similar issues in future AI automation tools.

Description

CVE-2025-62615 is a critical Server-Side Request Forgery (SSRF) vulnerability in Significant-Gravitas AutoGPT versions prior to autogpt-platform-beta-v0.6.34. The issue arises from the unfiltered use of urllib.request.urlopen in the RSSFeedBlock component, allowing attackers to craft malicious URLs that the server will fetch. This can lead to unauthorized internal network access and potential data exposure. The vulnerability requires no authentication or user interaction and has a CVSS 4.0 score of 9.3, indicating high impact on confidentiality and integrity.

References

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