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CVE-2025-63662

CVE-2025-63662 Supply Chain Attack in Gt
📅 PUBLISHED: 2025-12-22 00:00 UTC 🔄 UPDATED: 2026-08-18 17:12 UTC
⏳ SCORE PENDING — ANALYSIS IN PROGRESS [ DEFENSE PATCH ↓ ]
💣 PoC: None
👁️
Proof of Concept - Indicates if functional exploit code is publicly available, drastically increasing the risk of immediate attacks.
🎯 EPSS: 0.27%
👁️
0.27% probability
6.8× above the median CVE
Tier: ELEVATED
30-day exploitation window · FIRST.org · updated daily
VULNERABLE: UNKNOWN / CHECK VENDOR
CVSS SEVERITY SCALE
9.0–10.0 CRITICAL
7.0–8.9 HIGH
4.0–6.9 MEDIUM
0.1–3.9 LOW
0.0 NONE
SOON
PENDING NVD
■ tracking this CVE ✓ independent patch confirmation ⧗ same-origin mirror (GHSA) ⚠ active exploitation verification policy →

Executive Summary

CVE-2025-63662 exposes a critical insecure permissions vulnerability in the GT Edge AI Platform, specifically within the /api/v1/agents API endpoint. This flaw allows unauthenticated, remote attackers to access sensitive information, including agent configurations, credentials, and operational data. The vulnerability exists in all versions prior to v2.0.10-dev. The lack of proper access controls on this API endpoint directly violates the principle of least privilege and poses a significant risk to the confidentiality of the AI platform's managed assets. Given the nature of the platform (Edge AI), compromised agents could lead to lateral movement within an organization's network and potential data exfiltration from edge devices.

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Supply Chain & Package Security

This vulnerability is not directly related to a package manager (NPM, PyPI, Go, Ruby) but affects a proprietary software platform (GT Edge AI Platform). The risk is introduced through the platform's own API implementation, not a third-party dependency. However, organizations using this platform should treat it as a critical supply chain risk, as the platform itself is the component with the vulnerability.

CVSS Breakdown & Threat Level

The CVSS score is listed as 0.0, which is likely a placeholder or error. Based on the description, a more accurate assessment would be:

  • Attack Vector (AV): Network (N) - The API is accessible over the network.
  • Attack Complexity (AC): Low (L) - No special conditions are required.
  • Privileges Required (PR): None (N) - No authentication is needed.
  • User Interaction (UI): None (N) - No user action is required.
  • Scope (S): Unchanged (U) - The vulnerability does not affect other components.
  • Confidentiality (C): High (H) - Sensitive information is exposed.
  • Integrity (I): None (N) - The vulnerability does not allow modification.
  • Availability (A): None (N) - The vulnerability does not affect availability.

Estimated CVSS Vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N Estimated Base Score: 7.5 (High)

Threat Level: High. The ease of exploitation (no authentication, network accessible) combined with the high potential for information disclosure makes this a critical threat. Attackers can quickly enumerate agents and gather intelligence for further attacks.

Deep Dive & Mechanics

The vulnerability resides in the /api/v1/agents endpoint of the GT Edge AI Platform. This endpoint is designed to provide a list of all registered edge agents and their associated metadata. The flaw is that the endpoint does not enforce any authentication or authorization checks before returning data.

Mechanics:

  1. An attacker sends a simple HTTP GET request to http://<target>/api/v1/agents.
  2. The server processes the request without verifying the identity or permissions of the requester.
  3. The server returns a JSON response containing a list of agents, which may include:
    • Agent IDs and names
    • IP addresses and network configurations
    • Operating system and platform details
    • Authentication tokens or API keys (if stored insecurely)
    • Deployment-specific metadata

This information can be used to:

  • Identify active agents and their locations.
  • Target specific agents for further exploitation.
  • Extract credentials for lateral movement.
  • Understand the network topology of the AI deployment.

Vulnerable vs. Patched Code

Vulnerable Code (Conceptual - Python/Flask):

from flask import Flask, jsonify

app = Flask(__name__)

@app.route('/api/v1/agents', methods=['GET'])
def get_agents():
    # No authentication check
    agents = get_all_agents_from_database()
    return jsonify(agents)

Patched Code (Conceptual - Python/Flask):

from flask import Flask, jsonify, request, abort
from functools import wraps

app = Flask(__name__)

def require_auth(f):
    @wraps(f)
    def decorated(*args, **kwargs):
        auth_header = request.headers.get('Authorization')
        if not auth_header or not validate_token(auth_header):
            abort(401)  # Unauthorized
        return f(*args, **kwargs)
    return decorated

@app.route('/api/v1/agents', methods=['GET'])
@require_auth
def get_agents():
    # Only authenticated users can access
    agents = get_all_agents_from_database()
    return jsonify(agents)

The patched version introduces a require_auth decorator that validates an authentication token (e.g., JWT, API key) before allowing access to the endpoint. This ensures that only authorized users or services can retrieve agent information.

Exploitation & Lab Setup

Red Team

Objective: Exploit CVE-2025-63662 to enumerate agents and extract sensitive information.

Lab Setup:

  1. Target: A vulnerable instance of GT Edge AI Platform (version < 2.0.10-dev). This can be set up using a Docker container or a virtual machine with the vulnerable software.
  2. Attacker Machine: Kali Linux or any system with curl and jq.

Exploitation Steps:

  1. Reconnaissance: Scan for the GT Edge AI Platform. Common ports include 80, 443, or 8080.
    nmap -p 80,443,8080 <target_ip>
    
  2. Direct API Call: Send a GET request to the vulnerable endpoint.
    curl -s http://<target_ip>:8080/api/v1/agents | jq .
    
  3. Analyze Response: The response will contain a JSON array of agent objects. Extract IP addresses and any credentials.
    curl -s http://<target_ip>:8080/api/v1/agents | jq '.[].ip_address'
    
  4. Lateral Movement: Use any extracted credentials or API keys to access other services or agents.

Blue Team

Objective: Detect and respond to exploitation attempts.

Detection Steps:

  1. Monitor API Access Logs: Look for requests to /api/v1/agents that do not include an Authorization header.
  2. Anomaly Detection: Alert on a high volume of requests to this endpoint from a single IP address.
  3. Honeypot: Deploy a fake agent endpoint that logs all access attempts and triggers an alert.

Response:

  1. Block IP: Immediately block the source IP address at the firewall or WAF.
  2. Patch: Apply the vendor patch by upgrading to version 2.0.10-dev or later.
  3. Rotate Credentials: If any credentials were exposed, rotate them immediately.
  4. Incident Response: Initiate an incident response process to assess the scope of the breach.

Indicators of Compromise (IOCs)

  • Network IOCs:
    • HTTP GET requests to /api/v1/agents without an Authorization header.
    • Source IP addresses making repeated requests to this endpoint.
    • Unusual outbound connections from edge agents to unknown IPs.
  • File IOCs:
    • Log entries containing GET /api/v1/agents with a 200 response code.
    • Presence of curl or wget commands in system logs targeting the vulnerable endpoint.
  • Behavioral IOCs:
    • Unexpected enumeration of agent IDs or IP addresses.
    • Unauthorized access to agent management interfaces.

Detection Engineering

YARA Rule

rule Detect_CVE_2025_63662_Exploit {
    meta:
        description = "Detects HTTP requests targeting the vulnerable /api/v1/agents endpoint"
        author = "Valters IT"
        date = "2025-04-10"
        reference = "CVE-2025-63662"
    strings:
        $s1 = "GET /api/v1/agents" ascii wide nocase
        $s2 = "HTTP/1.1" ascii wide
    condition:
        $s1 and $s2
}

Sigma Rule

title: Detection of CVE-2025-63662 Exploitation Attempt
id: 8a9b7c6d-5e4f-3a2b-1c0d-9e8f7a6b5c4d
status: experimental
description: Detects HTTP GET requests to the vulnerable /api/v1/agents endpoint without authentication.
author: Valters IT
date: 2025/04/10
logsource:
    category: webserver
    product: apache
    service: access_log
detection:
    selection:
        cs-method: 'GET'
        cs-uri-stem: '/api/v1/agents'
    condition: selection
falsepositives:
    - Legitimate administrative access (should be authenticated)
level: high

Suricata Rule

alert http any any -> any any (msg:"CVE-2025-63662 - GT Edge AI Platform Unauthenticated Agent Enumeration"; flow:to_server; content:"GET"; http_method; content:"/api/v1/agents"; http_uri; classtype:attempted-recon; sid:1000001; rev:1;)

Remediation & Mitigation

Immediate Actions:

  1. Patch: Upgrade the GT Edge AI Platform to version 2.0.10-dev or later. This is the only definitive fix.
  2. Workaround: If patching is not immediately possible, implement a Web Application Firewall (WAF) rule to block requests to /api/v1/agents that do not contain a valid authentication token.
  3. Network Segmentation: Restrict network access to the management API to trusted IP addresses only.

Long-Term Mitigations:

  1. Authentication Enforcement: Ensure all API endpoints enforce authentication and authorization.
  2. Regular Security Audits: Conduct regular code reviews and penetration testing.
  3. Least Privilege: Apply the principle of least privilege to all API access.
  4. Monitoring: Implement continuous monitoring for unauthorized API access attempts.

Valters IT Signature:

Report generated by Valters IT DevSecOps & CTI Division

◈ SOURCE Analysis & enrichment: valtersit.com/cve/CVE-2025-63662/ · CVE data: NVD/MITRE (public domain) · © 2026 ValtersIT Hub
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