CVE-2026-54236

Description

A flaw was found in vLLM, an inference and serving engine for large language models (LLMs). An unauthenticated attacker can exploit this vulnerability by sending specially crafted malformed image bytes through the Anthropic Messages API. This action causes an error message to be generated that inadvertently includes sensitive heap memory addresses, leading to information disclosure. The issue stems from incomplete sanitization of error messages in several response paths, allowing these memory addresses to be exposed directly to clients.

Statement

This Moderate impact information disclosure flaw in vLLM does not affect Red Hat products. The vulnerable code responsible for incomplete error message sanitization, which could leak heap memory addresses via specially crafted image bytes sent to the Anthropic Messages API, is not present in Red Hat's supported offerings.

Mitigation

Mitigation for this issue is either not available or the currently available options do not meet the Red Hat Product Security criteria comprising ease of use and deployment, applicability to widespread installation base, or stability.

Common Vulnerability Scoring System (CVSS) Score Details

Info alert:Important note

CVSS scores for open source components depend on vendor-specific factors (e.g. version or build chain). Therefore, Red Hat's score and impact rating can be different from NVD and other vendors. Red Hat remains the authoritative CVE Naming Authority (CNA) source for its products and services (see Red Hat classifications).

The following CVSS metrics and score provided are preliminary and subject to review.

CVSS v3 Score Breakdown

Red HatNVDcve.org
Base Score5.3N/AN/A
Attack VectorNetworkN/AN/A
Attack ComplexityLowN/AN/A
Privileges RequiredNoneN/AN/A
User InteractionNoneN/AN/A
ScopeUnchangedN/AN/A
ConfidentialityLowN/AN/A
Integrity ImpactNoneN/AN/A
Availability ImpactNoneN/AN/A

Vector

Red Hat: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:N/A:N

Understanding the Weakness (CWE)

Confidentiality

Technical Impact: Read Application Data

Often this will either reveal sensitive information which may be used to launch another, more focused attack or disclose private information stored in the server. For example, an attempt to exploit a path traversal weakness (CWE-22) might yield the full pathname of the installed application. In turn, this could be used to select the proper number of ".." sequences to navigate to the targeted file. An attack using SQL injection (CWE-89) might not initially succeed, but an error message could reveal the malformed query, which would expose query logic and possibly even passwords or other sensitive information used within the query.

Frequently Asked Questions

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