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CVE-2025-68477VulnerabilityPublished

CVE-2025-68477: langflow · Server-Side Request Forgery (SSRF)

Affects langflowSource CVE Database V5

0

Not known to be exploited · CVSS 7.7 High : upgrade to 1.7.0 soon.

Data as of 25 Oct 2026, 19:02 UTC

CVSS 3.1 base score
7.7High
How severe the flaw is on the 0–10 CVSS scale.
EPSS
6.3% chance of exploitation in 30 days – higher than 93% of CVEsExploit Prediction Scoring System: the likelihood attackers will use this flaw soon.
Patch
Available – fixed in 1.7.0
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:C/C:H/I:N/A:N

Exploitation evidence

  1. Disclosed: evidence found.

    CVE published 19 Dec 2025

  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 2026-10-25.

What to do

Upgrade langflow-ai/langflow to 1.7.0.

Affected software

ProductAffectedFixed in
GitHublangflow-ai/langflowpkg:github/langflow-ai/langflowOther threatsAffected
  • <1.7.0
Fixed in
  • 1.7.0

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 take the following specific mitigation steps: 1) Immediately upgrade langflow installations to version 1.7.0 or later, which contains the patch that properly restricts SSRF vectors. 2) Audit and restrict API key distribution and usage to minimize the risk of unauthorized access to flow execution endpoints. 3) Implement network segmentation and firewall rules to limit the server's ability to access sensitive internal IP ranges and cloud metadata endpoints, adding a defense-in-depth layer. 4) Monitor API usage logs for unusual or unexpected requests targeting internal IP ranges or metadata endpoints. 5) Employ runtime application self-protection (RASP) or web application firewalls (WAFs) that can detect and block SSRF patterns. 6) Conduct internal security assessments and penetration tests focusing on SSRF and internal resource access via AI workflow tools. 7) Educate developers and administrators about the risks of SSRF in AI automation platforms and enforce secure coding and configuration practices. These steps go beyond generic advice by focusing on controlling API key access, network-level restrictions, and active monitoring tailored to the langflow environment.

Description

Langflow is a tool for building and deploying AI-powered agents and workflows. Prior to version 1.7.0, Langflow provides an API Request component that can issue arbitrary HTTP requests within a flow. This component takes a user-supplied URL, performs only normalization and basic format checks, and then sends the request using a server-side httpx client. It does not block private IP ranges (127[.]0[.]0[.]1, the 10/172/192 ranges) or cloud metadata endpoints (169[.]254[.]169[.]254), and it returns the response body as the result. Because the flow execution endpoints (/api/v1/run, /api/v1/run/advanced) can be invoked with just an API key, if an attacker can control the API Request URL in a flow, non-blind SSRF is possible—accessing internal resources from the server’s network context. This enables requests to, and collection of responses from, internal administrative endpoints, metadata services, and internal databases/services, leading to information disclosure and providing a foothold for further attacks. Version 1.7.0 contains a patch for this issue.

References

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