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VulnerabilityPublished

CVE-2026-10564: IBM Langflow OSS · Server-Side Request Forgery (SSRF)

Affects IBM Langflow OSSSource CVE Database V5

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Not known to be exploited · CVSS 8.2 High · patch available : patch IBM Langflow OSS soon.

Data as of 13 Nov 2026, 23:53 UTC

CVSS 3.1 base score
8.2High
How severe the flaw is on the 0–10 CVSS scale.
EPSS
0.3% chance of exploitation in 30 days – higher than 30% of CVEsExploit Prediction Scoring System: the likelihood attackers will use this flaw soon.
Patch
Available
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:L/A:N

Exploitation evidence

  1. Disclosed: evidence found.

    CVE published 30 Jun 2026

  2. Detectable: no evidence on record.

    No public nuclei template indexed

  3. Weaponized: 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 13 Nov 2026.

What to do

Affected software

ProductAffectedFixed in
IBMLangflow OSSAffected
  • >=1.0.0 <=1.9.6
Fixed in–
PyPIlangflow-osspkg:pypi/langflow-ossOther threatsAffected
  • =1.0.0
  • =1.9.6
Fixed in–

CPE configurations (2)

  • cpe:2.3:a:ibm:langflow_oss:1.0.0:*:*:*:*:*:*:*
  • cpe:2.3:a:ibm:langflow_oss:1.9.6:*:*:*:*:*:*:*

Check your own hosts for these packages with threat-finder (opens in a new tab), our free open-source scanner.

AI-suggested

IBM Langflow OSS is a cloud-hosted service, and IBM manages remediation server-side. Users should verify with IBM's official advisory for confirmation of patch deployment and any required actions. Since patchAvailable is true and the service is cloud-based, IBM likely has applied the fix. No additional user action may be required unless stated by IBM.

Description

IBM Langflow OSS 1.0.0 through 1.9.6 contains a Server-Side Request Forgery (SSRF). The legacy RSSReaderComponent in rss.py and SearXNG component in searxng.py make unvalidated HTTP requests to user-controlled URLs, bypassing SSRF protections introduced in version 1.9.3. An authenticated attacker can exploit this to access internal resources including cloud metadata services (AWS/Azure/GCP IMDS), potentially exfiltrating IAM credentials and enumerating internal networks. The vulnerability can also be triggered through prompt injection in agentic workflows due to tool_mode=True exposure.

References

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