CVE-2026-15603

Description

A flaw was found in morgan, an HTTP request logger middleware for Node.js. An unauthenticated remote client can inject specific Unicode line separator characters into log token values. This manipulation can cause downstream log processing systems to misinterpret a single log entry as multiple records, leading to log forging. Log forging allows an attacker to inject false entries into log files, potentially obscuring malicious activities or hindering incident response.

Statement

Log forging flaw in morgan allows unauthenticated remote attackers to inject Unicode line separators into log tokens. This can lead to log record misinterpretation by downstream systems, potentially impacting security monitoring and incident response in Red Hat products that use morgan as an HTTP request logger middleware.

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/A5.3
Attack VectorNetworkN/ANetwork
Attack ComplexityLowN/ALow
Privileges RequiredNoneN/ANone
User InteractionNoneN/ANone
ScopeUnchangedN/AUnchanged
ConfidentialityNoneN/ANone
Integrity ImpactLowN/ALow
Availability ImpactNoneN/ANone

Vector

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

cve.org: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:L/A:N

Understanding the Weakness (CWE)

Integrity,Confidentiality,Availability,Non-Repudiation

Technical Impact: Modify Application Data; Hide Activities; Execute Unauthorized Code or Commands

Interpretation of the log files may be hindered or misdirected if an attacker can supply data to the application that is subsequently logged verbatim. In the most benign case, an attacker may be able to insert false entries into the log file by providing the application with input that includes appropriate characters. Forged or otherwise corrupted log files can be used to cover an attacker's tracks, possibly by skewing statistics, or even to implicate another party in the commission of a malicious act. If the log file is processed automatically, the attacker can render the file unusable by corrupting the format of the file or injecting unexpected characters. An attacker may inject code or other commands into the log file and take advantage of a vulnerability in the log processing utility.

Frequently Asked Questions

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