CVE-2026-15574 in OpenShift AI
Summary
by MITRE • 07/13/2026
A flaw was found in the vllm-orchestrator-gateway component. The system's production binary logs all incoming authorization headers and full chat payloads, which may contain personally identifiable information (PII) and secrets, to persistent logs. This sensitive data, including bearer tokens and chat content, can be accessed by any user with logging privileges. This vulnerability leads to information disclosure, potentially allowing an attacker to harvest credentials and sensitive conversation content.
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Analysis
by VulDB Data Team • 07/13/2026
The vulnerability resides within the vllm-orchestrator-gateway component where improper logging practices expose sensitive data in production binaries. This flaw represents a critical security oversight that violates fundamental principles of data protection and privacy preservation. The system's design fails to implement proper data sanitization or filtering mechanisms before log generation, resulting in the indiscriminate recording of authorization headers and complete chat payloads. Such logging behavior creates an attack surface where malicious actors can gain unauthorized access to personally identifiable information and authentication tokens through legitimate administrative logging privileges.
The technical implementation demonstrates a failure in secure coding practices and data handling protocols that directly contravenes established security frameworks. The vulnerability allows for information disclosure through persistent log storage, creating a permanent repository of sensitive data that remains accessible to any individual possessing appropriate logging permissions. This design flaw enables unauthorized data access patterns that can be exploited by both internal and external threat actors who gain access to system logging infrastructure or administrative accounts with elevated privileges.
From an operational impact perspective, this vulnerability creates significant risk exposure for organizations relying on the vllm-orchestrator-gateway for their chat-based services. The potential for credential harvesting through bearer token exposure poses severe implications for authentication security and service integrity. Attackers can exploit this weakness to capture session tokens, API keys, and other sensitive authorization information that could be used for privilege escalation or unauthorized access to protected resources. Additionally, the inclusion of full chat payloads in logs exposes confidential conversation content that may contain proprietary information, personal data, or business-sensitive communications.
This vulnerability aligns with multiple cybersecurity standards and threat modeling frameworks including CWE-532 which addresses information exposure through log files, and CWE-312 which covers partial information exposure. The issue also maps to ATT&CK technique T1567.002 for credentials in logs and T1567.003 for sensitive data in logs. Organizations may face regulatory compliance violations under GDPR, HIPAA, or other privacy frameworks when such logging practices are discovered during audits or security assessments. The persistent nature of log files means that compromised information can remain accessible for extended periods, increasing the window of potential exploitation.
Mitigation strategies should prioritize immediate implementation of log data sanitization and filtering mechanisms to prevent sensitive information from being recorded in persistent logs. Organizations must establish comprehensive logging policies that exclude authorization headers, authentication tokens, and personally identifiable information from system logs while maintaining necessary operational visibility. The remediation approach should include deploying log parsing tools that automatically redact or filter sensitive content, implementing role-based access controls for log systems, and establishing regular log review processes to identify and address any remaining data exposure issues. Additionally, organizations should consider implementing encryption for log storage and establish monitoring procedures to detect unauthorized access attempts to logging infrastructure.