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CVE Vulnerability Database
Vulnerability Database/CVE-2026-4276

CVE-2026-4276: LibreChat RAG API Log Injection Flaw

CVE-2026-4276 is a log injection vulnerability in LibreChat RAG API version 0.7.0 that enables attackers to forge log entries. This article covers the technical details, affected versions, security impact, and mitigation.

Published: March 20, 2026

CVE-2026-4276 Overview

CVE-2026-4276 is a log-injection vulnerability affecting LibreChat RAG API version 0.7.0. This vulnerability allows remote attackers to forge log entries by injecting malicious content into application logs. Log injection attacks can lead to log tampering, security monitoring evasion, and potential log-based attack chains including log poisoning for subsequent exploitation.

Critical Impact

Attackers can manipulate application logs to hide malicious activity, inject false audit trails, or potentially exploit log processing systems that consume the poisoned logs.

Affected Products

  • LibreChat RAG API version 0.7.0

Discovery Timeline

  • 2026-03-16 - CVE CVE-2026-4276 published to NVD
  • 2026-03-17 - Last updated in NVD database

Technical Details for CVE-2026-4276

Vulnerability Analysis

This log-injection vulnerability exists in LibreChat RAG API version 0.7.0, which provides retrieval-augmented generation capabilities for the LibreChat platform. The vulnerability allows unauthenticated remote attackers to inject arbitrary content into application logs through network-accessible interfaces.

Log injection vulnerabilities occur when user-controlled input is written to log files without proper sanitization or encoding. In this case, attackers can insert special characters such as newline sequences (\n, \r\n) or control characters to forge entirely new log entries, making malicious activity appear legitimate or hiding evidence of attacks.

The impact extends beyond simple log manipulation. Organizations relying on these logs for security monitoring, compliance auditing, or incident response may be misled by forged entries. Additionally, if log data is consumed by downstream systems (SIEM platforms, log aggregators, or automated response systems), poisoned logs could trigger false positives or worse, mask genuine security incidents.

Root Cause

The root cause is insufficient input validation and output encoding when writing user-supplied data to log files. The application fails to sanitize or escape special characters that have semantic meaning in log formats, allowing attackers to inject log control sequences and forge arbitrary log entries.

Attack Vector

The vulnerability is exploitable remotely over the network without requiring authentication or user interaction. An attacker can craft malicious requests to the RAG API containing log injection payloads. When the application logs these requests or their parameters, the injected content creates forged log entries.

Typical log injection attacks involve:

  1. Identifying input fields that are logged by the application
  2. Injecting newline characters followed by fabricated log entries
  3. The resulting logs appear to contain legitimate entries created by the attacker

For detailed technical information about this vulnerability, refer to the CERT Vulnerability Advisory.

Detection Methods for CVE-2026-4276

Indicators of Compromise

  • Unexpected newline sequences or control characters in API request parameters
  • Log entries with inconsistent formatting, timestamps, or metadata patterns
  • Multiple log entries appearing with identical timestamps from different sources
  • Requests containing encoded newline characters (%0a, %0d, \n, \r)

Detection Strategies

  • Implement log integrity monitoring to detect anomalies in log entry patterns and formats
  • Deploy web application firewalls (WAF) with rules to detect log injection payloads in request parameters
  • Use SentinelOne Singularity Platform to monitor for suspicious process behavior and API anomalies
  • Analyze HTTP access logs for requests containing encoded control characters in parameters

Monitoring Recommendations

  • Enable verbose logging with immutable log storage to maintain forensic integrity
  • Configure SIEM alerts for log entries with unusual formatting or control character sequences
  • Monitor LibreChat RAG API endpoints for requests with abnormally long parameters or special characters
  • Implement log correlation across multiple sources to identify inconsistencies

How to Mitigate CVE-2026-4276

Immediate Actions Required

  • Upgrade LibreChat RAG API to a patched version when available from the vendor
  • Implement input validation to strip or encode control characters before logging
  • Review existing logs for signs of injection attacks and potential compromise
  • Deploy network-level filtering to block requests containing log injection patterns

Patch Information

Organizations should monitor the official LibreChat project for security updates addressing this vulnerability. The CERT Vulnerability Advisory VU#624941 provides additional guidance and tracking information for this issue.

Workarounds

  • Implement strict input sanitization that removes or encodes newline and carriage return characters from all user input before logging
  • Configure log frameworks to use structured logging formats (JSON) that inherently escape special characters
  • Restrict network access to the RAG API to trusted sources only using firewall rules
  • Enable log file integrity monitoring with cryptographic verification to detect tampering
bash
# Example: Restrict API access to trusted networks
iptables -A INPUT -p tcp --dport 8080 -s 10.0.0.0/8 -j ACCEPT
iptables -A INPUT -p tcp --dport 8080 -j DROP

# Enable structured JSON logging (application-specific configuration)
# Consult LibreChat documentation for proper logging configuration

Disclaimer: This content was generated using AI. While we strive for accuracy, please verify critical information with official sources.

  • Vulnerability Details
  • TypeOther

  • Vendor/TechLibrechat

  • SeverityHIGH

  • CVSS Score7.5

  • EPSS Probability0.06%

  • Known ExploitedNo
  • CVSS Vector
  • CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:H/A:N
  • Impact Assessment
  • ConfidentialityLow
  • IntegrityNone
  • AvailabilityNone
  • Technical References
  • CERT Vulnerability Advisory

  • CERT Vulnerability Advisory
  • Related CVEs
  • CVE-2026-31943: LibreChat SSRF Vulnerability

  • CVE-2026-31945: Librechat SSRF Vulnerability

  • CVE-2026-31950: LibreChat Auth Bypass Vulnerability

  • CVE-2026-31951: LibreChat Information Disclosure Flaw
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