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CVE-2025-31698: ACL Misconfiguration in Apache Traffic Server

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Overview

This report presents an analysis of the CVE-2025-31698 vulnerability, a flaw that exists in the Apache Traffic Server’s Access Control List (ACL) settings. This vulnerability could potentially lead to system compromise or data leakage. Organizations utilizing the Apache Traffic Server versions 10.0.0 to 10.0.6 and 9.0.0 to 9.2.10 are at risk and thus, must take prompt action to secure their systems.

Vulnerability Summary

CVE ID: CVE-2025-31698
Severity: High (7.5 CVSS Score)
Attack Vector: Network
Privileges Required: None
User Interaction: None
Impact: System compromise or data leakage

Affected Products

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Product | Affected Versions

Apache Traffic Server | 10.0.0 through 10.0.6
Apache Traffic Server | 9.0.0 through 9.2.10

How the Exploit Works

The vulnerability lies within the ACL configuration in the ip_allow.config or remap.config files in the Apache Traffic Server. The server is not correctly utilizing the IP addresses provided by the PROXY protocol. This can allow an attacker to bypass the ACL and potentially gain unauthorized access to the system, leading to possible system compromise or data leakage.

Conceptual Example Code

This is a conceptual example of how the vulnerability might be exploited using HTTP requests:

GET / HTTP/1.1
Host: target.example.com
X-Forwarded-For: malicious_ip_address

Note: In this example, the attacker is using the X-Forwarded-For HTTP header to spoof an IP address (malicious_ip_address) that is not correctly processed by the ACL, thus potentially gaining unauthorized access to the system.

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Disclaimer:

The information and code presented in this article are provided for educational and defensive cybersecurity purposes only. Any conceptual or pseudocode examples are simplified representations intended to raise awareness and promote secure development and system configuration practices.

Do not use this information to attempt unauthorized access or exploit vulnerabilities on systems that you do not own or have explicit permission to test.

Ameeba and its authors do not endorse or condone malicious behavior and are not responsible for misuse of the content. Always follow ethical hacking guidelines, responsible disclosure practices, and local laws.

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