CVE-2026-5627

April 8, 2026, 9:27 p.m.

9.1
Critical

Description

A path traversal vulnerability exists in mintplex-labs/anything-llm versions up to and including 1.9.1, within the `AgentFlows` component. The vulnerability arises from improper handling of user input in the `loadFlow` and `deleteFlow` methods in `server/utils/agentFlows/index.js`. Specifically, the combination of `path.join` and `normalizePath` allows attackers to bypass directory restrictions and access or delete arbitrary `.json` files on the server. This can lead to information disclosure, such as leaking sensitive configuration files containing API keys, or denial of service by deleting critical files like `package.json`. The issue is resolved in version 1.12.1.

Product(s) Impacted

Vendor Product Versions
Mintplex-labs
  • Anything-llm
  • *, <1.12.1

Weaknesses

Common security weaknesses mapped to this vulnerability.

CWE-29
Path Traversal: '\..\filename'
The product uses external input to construct a pathname that should be within a restricted directory, but it does not properly neutralize '\..\filename' (leading backslash dot dot) sequences that can resolve to a location that is outside of that directory.

*CPE(s)

Affected systems and software identified for this CVE.

Type Vendor Product Version Update Edition Language Software Edition Target Software Target Hardware Other Information
a mintplex-labs anything-llm / / / / / / / /
a mintplex-labs anything-llm <1.12.1 / / / / / / /

CVSS Score

9.1 / 10

CVSS Data - 3.0

  • Attack Vector: NETWORK
  • Attack Complexity: LOW
  • Privileges Required: HIGH
  • Scope: CHANGED
  • Confidentiality Impact: HIGH
  • Integrity Impact: HIGH
  • Availability Impact: HIGH
  • CVSS:3.0/AV:N/AC:L/PR:H/UI:N/S:C/C:H/I:H/A:H

    View Vector String

Timeline

Published: April 7, 2026, 2:16 p.m.
Last Modified: April 8, 2026, 9:27 p.m.

Status : Awaiting Analysis

CVE has been recently published to the CVE List and has been received by the NVD.

More info

*Disclaimer: Some vulnerabilities do not have an associated CPE. To enhance the data, we use AI to infer CPEs based on CVE details. This is an automated process and might not always be accurate.