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CVE-2026-3341 IBM CVE debrief

CVE-2026-3341 is a server-side request forgery (SSRF) vulnerability in IBM Langflow Desktop 1.0.0 through 1.9.2. An authenticated attacker could send unauthorized requests from the system, potentially leading to network enumeration or facilitating other attacks. The vulnerability has a CVSS score of 5.4 and a severity of MEDIUM.

Vendor
IBM
Product
Langflow Desktop
CVSS
MEDIUM 5.4
CISA KEV
Not listed in stored evidence
Original CVE published
2026-06-11
Original CVE updated
2026-06-16
Advisory published
2026-06-11
Advisory updated
2026-06-16

Who should care

Users of IBM Langflow Desktop 1.0.0 through 1.9.2 should apply patches or mitigations to prevent exploitation of this vulnerability.

Technical summary

The vulnerability is caused by a lack of proper validation of requests sent to the IBM Langflow Desktop system. This allows an authenticated attacker to send unauthorized requests, potentially leading to network enumeration or facilitating other attacks.

Defensive priority

MEDIUM

Recommended defensive actions

  • Apply patches or mitigations provided by IBM to prevent exploitation of this vulnerability.
  • Restrict access to the IBM Langflow Desktop system to only trusted users and networks.
  • Monitor system logs for suspicious activity.

Evidence notes

The CVE record was obtained from the official CVE.org website [cve-org]. Additional information was obtained from the NVD detail page [nvd] and the IBM support page [ref-4].

Sources and references

Verified primary and authoritative sources

  • CVE-2026-3341 CVE Program record

    Publisher, destination, and source semantics verified

    URL: https://www.cve.org/CVERecord?id=CVE-2026-3341

    CVE Program - Official CVE Program record with source-provided CVE metadata.

  • CVE-2026-3341 NVD vulnerability detail

    Publisher, destination, and source semantics verified

    URL: https://nvd.nist.gov/vuln/detail/CVE-2026-3341

    NIST National Vulnerability Database - Official NIST NVD detail page and source-specific vulnerability assessment.

Supplemental references

Methodology and review provenance

AI-assisted synthesis based on stored public vulnerability evidence. System validation, approval state, and publication status do not by themselves establish human review of this revision. PatchSiren helps prioritize defensive review and does not prove exposure or remediation on any system.