CVE-2024-8072: Mage AI Information Disclosure Vulnerability

CVE-2024-8072 Overview

CVE-2024-8072 affects Mage AI, an open-source data pipeline tool used to build, run, and manage data workflows. The vulnerability allows remote unauthenticated attackers to leak the terminal server command history of arbitrary users. An attacker can retrieve sensitive command-line history without providing credentials or interacting with a legitimate user. Exposed history may contain secrets, tokens, file paths, and other operational details useful for follow-on attacks. The issue is classified as an information exposure weakness under [CWE-200].

Critical Impact
Remote unauthenticated attackers can read arbitrary users' terminal command history, exposing potentially sensitive strings such as credentials, tokens, and internal paths.

Affected Products

Mage AI (mage:mage-ai) Python package
Deployments exposing the Mage AI terminal server component
Self-hosted and cloud-hosted Mage AI instances reachable over the network

Discovery Timeline

2024-08-22 - CVE-2024-8072 published to the National Vulnerability Database (NVD)
2026-06-17 - Last updated in NVD database

Technical Details for CVE-2024-8072

Vulnerability Analysis

Mage AI ships with a terminal server component that provides web-based shell access for pipeline development. The affected endpoint returns command history data without validating the requester's identity or session ownership. Because the interface is reachable over the network with no authentication required, any attacker who can reach the Mage AI service can request another user's history. The disclosed content is limited to command history, so integrity and availability are not directly affected. However, developer terminals frequently contain sensitive strings such as API keys, database connection commands, and file system paths. Additional technical details are available in the JFrog Security Vulnerability Report.

Root Cause

The root cause is missing access control on the terminal history retrieval path [CWE-200]. The server exposes history data intended for a specific user context without verifying the caller's authentication or session. This design assumes trusted access to the terminal server that does not hold in typical network-exposed deployments.

Attack Vector

The vulnerability is exploited over the network. An unauthenticated attacker sends a crafted HTTP request to the Mage AI terminal server endpoint responsible for returning command history. The response includes history entries belonging to other users, which the attacker parses for sensitive strings. No user interaction is required. Refer to the JFrog Security Vulnerability Report for endpoint specifics.

Detection Methods for CVE-2024-8072

Indicators of Compromise

Unauthenticated HTTP requests to Mage AI terminal server endpoints from unexpected source IPs
Repeated requests iterating through user or session identifiers on the terminal history route
Access log entries lacking session cookies or authentication headers for terminal-related URLs

Detection Strategies

Review Mage AI access logs for requests to terminal history endpoints without an authenticated session
Correlate reverse proxy logs with Mage AI application logs to identify anonymous access patterns
Alert on external network sources reaching internal Mage AI instances that should be restricted

Monitoring Recommendations

Forward Mage AI application and web server logs to a centralized logging or SIEM platform
Baseline normal terminal usage patterns and alert on off-hours or high-volume history retrieval
Monitor egress from Mage AI hosts for anomalous outbound connections that may indicate abuse of leaked credentials

How to Mitigate CVE-2024-8072

Immediate Actions Required

Upgrade Mage AI to the latest fixed version as documented in the JFrog Security Vulnerability Report
Restrict network exposure of the Mage AI terminal server to trusted management networks or VPN users
Rotate any credentials, tokens, or secrets that may have been typed into Mage AI terminals

Patch Information

Refer to the JFrog Security Vulnerability Report for the fixed release versions of the mage-ai Python package. Update through the standard Python package manager and redeploy affected instances.

Workarounds

Place Mage AI behind an authenticating reverse proxy that blocks unauthenticated access to terminal routes
Disable or remove the terminal server component if it is not required for your workflows
Enforce network-level access controls so only authorized operators can reach the Mage AI service

bash

# Configuration example: restrict Mage AI to loopback and require reverse-proxy authentication
# Example nginx snippet enforcing auth on terminal endpoints
location /terminal/ {
    auth_basic "Mage AI";
    auth_basic_user_file /etc/nginx/.htpasswd;
    proxy_pass http://127.0.0.1:6789;
}