DEV Community

CVE Reports
CVE Reports

Posted on • Originally published at cvereports.com

CVE-2026-20911: CVE-2026-20911: Remote Code Execution via Heap-Based Buffer Overflow in LibRaw HuffTable::initval

CVE-2026-20911: Remote Code Execution via Heap-Based Buffer Overflow in LibRaw HuffTable::initval

Vulnerability ID: CVE-2026-20911
CVSS Score: 9.8
Published: 2026-04-07

A critical heap-based buffer overflow vulnerability in LibRaw versions up to 0.22.0 allows attackers to execute arbitrary code. The flaw exists in the lossless JPEG decompressor, specifically within the Huffman table initialization routine, due to an incorrect calculation of the required buffer size.

TL;DR

LibRaw <= 0.22.0 suffers from a heap buffer overflow in the JPEG DHT parser. Processing a crafted RAW image file leads to arbitrary code execution due to missing bounds checks during Huffman table initialization.


Technical Details

  • CWE ID: CWE-131
  • Attack Vector: Network (Malicious File)
  • CVSS v3.1: 9.8
  • EPSS Score: 0.00043
  • Impact: Remote Code Execution
  • Exploit Status: None (No Public PoC)
  • CISA KEV: Not Listed

Affected Systems

  • LibRaw-based image viewers
  • Digital asset management systems
  • Web servers generating image thumbnails
  • RAW photo editing software
  • LibRaw: <= 0.22.0 (Fixed in: 0.22.1)

Mitigation Strategies

  • Upgrade LibRaw to version 0.22.1 or later
  • Isolate image processing tasks in sandboxed environments (e.g., Docker, seccomp, AppArmor)
  • Implement robust file format validation before passing data to the LibRaw engine

Remediation Steps:

  1. Identify all internal services and applications statically or dynamically linking LibRaw.
  2. Update system package managers and pull the latest patched LibRaw dependencies (v0.22.1).
  3. Recompile applications that statically link LibRaw to include the patched losslessjpeg.cpp logic.
  4. Deploy the updated binaries to production environments and restart image processing services.
  5. Verify the remediation by running test suites against malformed RAW images to ensure safe failure.

References


Read the full report for CVE-2026-20911 on our website for more details including interactive diagrams and full exploit analysis.

Top comments (0)