LowVulnerability

CVE-2026-6597: Langflow stores API credentials unprotected in Flow Using API component

Source: NVD(opens in a new tab)
Identifier: CVE-2026-6597
Published: April 19, 2026
Record updated: October 9, 2026

Affected: langflow <= 1.8.3
Fixed in: No fixed version was stated when the source was last read.
Known exploitation: Not listed in the CISA Known Exploited Vulnerabilities catalog at the last check.
EPSS: 0.4%

Summary

CVE-2026-6597 is a weakness in langflow-ai langflow up to 1.8.3, located in the function remove_api_keys/has_api_terms in src/backend/base/langflow/api/utils/core.py, within the component Flow Using API. The flaw causes unprotected storage of credentials and can be initiated remotely. A public exploit is available, and the vendor did not respond to early disclosure contact.

Mitigation

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

Details

Scores and exploitation

CVSS score: 2.7(low)
CVSS vector: CVSS:3.1/AV:N/AC:L/PR:H/UI:N/S:U/C:L/I:N/A:N
Attack vector: network
Attack complexity: low
Privileges required: high
User interaction: none
EPSS: 0.4%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 19, 2026

Weaknesses and techniques

Weakness (CWE): CWE-255
CWE-256

Affected

Packages: langflow@<= 1.8.3

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-2026-6597

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

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

Classifier confidence: 85% (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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