CVE-2026-94037
Received Received - Intake

Path Traversal in mcp-file-analyzer

Vulnerability report for CVE-2026-94037, including description, CVSS score, EPSS score, affected products, exploitability, helpful resources, and attack-flow context.

Publication date: 2026-09-20

Last updated on: 2026-09-20

Assigner: VulDB

Description

A weakness has been identified in 00Kisumi00 mcp-file-analyzer up to 84740852f0cf0cf5db4781b1ca6d7c6a6d210405. This affects the function ControlFlowNode of the file main.py of the component analyze_csv_data MCP tool. This manipulation of the argument filename causes path traversal. Remote exploitation of the attack is possible. The exploit has been made available to the public and could be used for attacks. This product follows a rolling release approach for continuous delivery, so version details for affected or updated releases are not provided. The project was informed of the problem early through an issue report but has not responded yet.

CVSS Scores

EPSS Scores

Probability:
Percentile:

Meta Information

Published
2026-09-20
Last Modified
2026-09-20
Generated
2026-09-20
AI Q&A
2026-09-20
EPSS Evaluated
N/A
NVD
EUVD

Affected Vendors & Products

Showing 1 associated CPE
Vendor Product Version / Range
00kisumi00 mcp-file-analyzer to 84740852f0cf0cf5db4781b1ca6d7c6a6d210405 (exc)

Helpful Resources

Exploitability

CWE
CWE Icon
KEV
KEV Icon
CWE ID Description
CWE-22 The product uses external input to construct a pathname that is intended to identify a file or directory that is located underneath a restricted parent directory, but the product does not properly neutralize special elements within the pathname that can cause the pathname to resolve to a location that is outside of the restricted directory.

Attack-Flow Graph

AI Quick Actions

Instant insights powered by AI
Executive Summary

This is a path traversal vulnerability in the mcp-file-analyzer tool affecting the analyze_csv_data MCP tool. It allows an attacker with access to the MCP interface to read arbitrary local files on the server by supplying a crafted filename argument. The tool joins the user-supplied filename with a predefined DATA_DIR without proper validation, enabling path traversal sequences or absolute paths to escape the intended directory.

Detection Guidance

Check if the mcp-file-analyzer tool is installed and running. Inspect the main.py file for the analyze_csv_data function to see if it improperly handles filename arguments without path validation. Look for evidence of path traversal attempts in logs, such as filenames containing '../' or absolute paths.

Impact Analysis

An attacker could exploit this to read sensitive files on the server, such as configuration files, user data, or system files like /etc/passwd. This could lead to unauthorized data disclosure, potential privilege escalation, or further attacks if sensitive information is exposed.

Compliance Impact

This vulnerability could violate compliance requirements by allowing unauthorized access to sensitive data. GDPR requires protecting personal data, and HIPAA mandates safeguarding protected health information. Exploitation could lead to data breaches, resulting in legal penalties, reputational damage, and loss of trust.

Mitigation Strategies

Update the mcp-file-analyzer tool to the latest commit or apply a patch that validates filenames to prevent path traversal. Ensure the server runs with least-privilege permissions and restricts file access to the intended DATA_DIR. Add input validation to reject absolute paths and path traversal sequences.

Chat Assistant

Ask questions about this CVE
Hi! I’m here to help you understand CVE-2026-94037. Ask me anything about the vulnerability, its impact, or mitigation strategies.
0/70

EPSS Chart