MediumVulnerability

CVE-2026-100609: Flowise credential lookup by ID bypasses workspace isolation

Source: NVD(opens in a new tab)
Identifier: CVE-2026-100609
Published: September 26, 2026
Record updated: October 9, 2026

Known exploitation: Not listed in the CISA Known Exploited Vulnerabilities catalog at the last check.
EPSS: 0.3%

Summary

Flowise (npm packages `flowise` and `flowise-components`) through 3.1.4 looks up credentials by ID without filtering on the requesting user's workspace, across several code paths including the OpenAI assistants endpoints, the file upload and delete routes, and the text-to-speech voices helper. An authenticated user of one workspace can supply a credential UUID from another workspace, so the server decrypts and uses that workspace's OpenAI or ElevenLabs API key on the attacker's behalf. No patched version was available at the time of publication.

Mitigation

The source does not state a fix yet. Check the original advisory for updates.

Details

Scores and exploitation

CVSS score: 6.8(medium)
CVSS vector: CVSS:3.1/AV:N/AC:H/PR:L/UI:N/S:U/C:H/I:H/A:N
Attack vector: network
Attack complexity: high
Privileges required: low
User interaction: none
EPSS: 0.3%Estimated probability that this CVE is exploited in the next 30 days, from the FIRST Exploit Prediction Scoring System. Read on November 11, 2026.
Disclosure date: September 26, 2026

Weaknesses and techniques

Weakness (CWE): CWE-639

Affected

Vendors: OpenAI

Classification

Attack type: Other
Attack sophistication: Moderate
AI component targeted: Framework
Impact: Confidentiality,
Integrity
Labels: security,
industry

How this record was produced

Summaries, mitigations and labels on this page are generated automatically from the source. The linked source is authoritative. The source gives this advisory a description and no title, so the title above is a headline generated from the source text.

Original source: https://nvd.nist.gov/vuln/detail/CVE-2026-100609

First tracked: September 26, 2026 at 02:08 PM ET, from NVD/CVE Database

Classifier: claude-haiku-5-5, prompt v4

Classifier confidence: 90% (self-assessed)

Summary

Mitigation

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