MediumVulnerability

CVE-2026-6598: Langflow cleartext storage of auth settings in project creation

Source: NVD(opens in a new tab)
Identifier: CVE-2026-6598
Published: April 20, 2026
Record updated: October 9, 2026

Affected: langflow < 1.9.1
Fixed in: 1.9.1
Known exploitation: Not listed in the CISA Known Exploited Vulnerabilities catalog at the last check.
EPSS: 0.2%

Summary

A vulnerability in langflow-ai langflow up to 1.8.3 affects the function create_project/encrypt_auth_settings in src/backend/base/Langflow/api/v1/projects.py, part of the Project Creation Endpoint. Manipulating the auth_settings argument leads to cleartext storage in a file or on disk. The attack can be launched remotely, and a public exploit has been disclosed and may be used. The vendor was contacted early but did not respond.

Mitigation

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

Details

Scores and exploitation

CVSS score: 4.3(medium)
Patch available: Yes
CVSS vector: CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:N/A:N
Attack vector: network
Attack complexity: low
Privileges required: low
User interaction: none
EPSS: 0.2%Estimated probability that this CVE is exploited in the next 30 days, from the FIRST Exploit Prediction Scoring System. Read on October 14, 2026.
Disclosure date: April 20, 2026

Weaknesses and techniques

Weakness (CWE): CWE-312
CWE-313

Affected

Packages: langflow@< 1.9.1 (fixed: 1.9.1)

Classification

Attack type: Other
Attack sophistication: Trivial
AI component targeted: Framework
Impact: Confidentiality
Labels: security

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-2026-6598

First tracked: April 20, 2026 at 08:18 AM ET, from NVD/CVE Database

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

Classifier confidence: 90% (self-assessed)

Affected packages in the Exposure Registry

Matched by package name and ecosystem. Each entry shows whether the package delegates to a language model and how many tracked packages depend on it.

langflowPyPIReaches an LLM package through dependencies

Summary

Mitigation

Affected packages in the Exposure Registry

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