CVE-2025-0754 in OpenShift Service Mesh
Summary
by MITRE • 01/28/2025
The vulnerability was found in OpenShift Service Mesh 2.6.3 and 2.5.6. This issue occurs due to improper sanitization of HTTP headers by Envoy, particularly the x-forwarded-for header. This lack of sanitization can allow attackers to inject malicious payloads into service mesh logs, leading to log injection and spoofing attacks. Such injections can mislead logging mechanisms, enabling attackers to manipulate log entries or execute reflected cross-site scripting (XSS) attacks.
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Analysis
by VulDB Data Team • 01/28/2025
The vulnerability identified as CVE-2025-0754 represents a critical security flaw within the OpenShift Service Mesh ecosystem, specifically affecting versions 2.6.3 and 2.5.6. This issue stems from inadequate input validation within the Envoy proxy component that serves as the core traffic management layer for the service mesh. The problem manifests through the improper sanitization of HTTP headers, with particular emphasis on the x-forwarded-for header which is commonly used to track the original source of requests in proxy environments. When this header is not properly validated and sanitized, it creates an attack vector that allows malicious actors to inject arbitrary content into the system's logging infrastructure.
The technical exploitation of this vulnerability occurs through manipulation of the x-forwarded-for header value, which typically contains IP addresses of clients and intermediate proxies. Attackers can craft malicious header values that contain payload data designed to disrupt normal logging operations or inject harmful content into log files. This improper sanitization creates conditions where log injection attacks become possible, allowing threat actors to insert malicious entries that can masquerade as legitimate traffic or contain malicious code. The impact extends beyond simple log manipulation as these injections can be leveraged to perform reflected cross-site scripting attacks when log data is subsequently displayed in web-based monitoring interfaces or administrative panels.
The operational consequences of this vulnerability are significant for organizations relying on OpenShift Service Mesh for their microservices architecture. Log integrity becomes compromised, potentially leading to false security alerts, obscured incident investigations, and misdirection of forensic analysis efforts. The ability to perform spoofing attacks through log manipulation can mask malicious activities while making legitimate operations appear suspicious. Additionally, when logging systems are integrated with security information and event management (SIEM) solutions, the injected content can trigger false positive alerts or interfere with automated security monitoring processes. This vulnerability directly impacts the trustworthiness of operational data and can undermine the effectiveness of security operations that depend on accurate log information.
From a cybersecurity framework perspective, this vulnerability aligns with CWE-79 (Cross-Site Scripting) and CWE-116 (Improper Encoding or Escaping of Output) categories, demonstrating how inadequate input validation can create cascading security issues. The attack surface maps to several ATT&CK techniques including T1070.004 (Indicator Removal on Host: File Deletion) through log manipulation, and T1566.001 (Phishing: Spearphishing Attachment) when malicious payloads are delivered through compromised log entries. Organizations should implement immediate mitigations including enhanced header validation rules within Envoy configurations, regular log scanning for suspicious patterns, and implementation of strict input sanitization policies for all HTTP headers. The recommended approach involves configuring Envoy to properly escape or validate all incoming header values before processing, ensuring that any potentially malicious content is neutralized before being stored in log files. Additionally, organizations should consider implementing network segmentation and monitoring for unusual header patterns to detect potential exploitation attempts, while also ensuring that log viewing interfaces properly sanitize displayed content to prevent XSS execution from injected payloads.