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VulnerabilityPublished

CVE-2026-41271: FlowiseAI Flowise · Server-Side Request Forgery (SSRF)

Affects FlowiseAI FlowiseSource CVE Database V5

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Not known to be exploited · CVSS 7.1 High : upgrade to 3.1.0 soon.

Data as of 30 Oct 2026, 11:52 UTC

CVSS 3.0 base score
7.1High
How severe the flaw is on the 0–10 CVSS scale.
EPSS
0.2% chance of exploitation in 30 days – higher than 14% of CVEsExploit Prediction Scoring System: the likelihood attackers will use this flaw soon.
Patch
Available – fixed in 3.1.0
CVSS:3.0/AV:N/AC:H/PR:L/UI:N/S:U/C:H/I:H/A:L

Exploitation evidence

  1. Disclosed: evidence found.

    CVE published 23 Apr 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 30 Oct 2026.

What to do

Upgrade Flowise and flowise-components and flowiseai/Flowise to 3.1.0.

Affected software

ProductAffectedFixed in
FlowiseAIFlowiseAffected
  • <3.1.0
Fixed in
  • 3.1.0
FlowiseAIflowise-componentsAffected
  • <3.1.0
Fixed in
  • 3.1.0
GitHubflowiseai/Flowisepkg:github/flowiseai/FlowiseOther threatsAffected
  • <3.1.0
Fixed in
  • 3.1.0

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

AI-suggested

Upgrade Flowise to version 3.1.0 or later, where this SSRF vulnerability is fixed. Since the vendor advisory confirms the fix in 3.1.0, applying this official update is the recommended remediation. No additional mitigation guidance is provided or required beyond applying the official fix.

Description

Flowise is a drag & drop user interface to build a customized large language model flow. Prior to 3.1.0, a Server-Side Request Forgery (SSRF) vulnerability exists in FlowiseAI's POST/GET API Chain components that allows unauthenticated attackers to force the server to make arbitrary HTTP requests to internal and external systems. By injecting malicious prompt templates, attackers can bypass the intended API documentation constraints and redirect requests to sensitive internal services, potentially leading to internal network reconnaissance and data exfiltration. This vulnerability is fixed in 3.1.0.

References

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