CVE-2026-24450
Published: 07 April 2026
Summary
CVE-2026-24450 is a high-severity Integer Overflow or Wraparound (CWE-190) vulnerability in Libraw Libraw. Its CVSS base score is 8.1 (High).
Operationally, exploitation aligns with the MITRE ATT&CK technique Exploit Public-Facing Application (T1190); ranked at the 18.0th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog; a public proof-of-concept is referenced.
The strongest mitigations our analysis identified are NIST 800-53 SI-10 (Information Input Validation) and SI-2 (Flaw Remediation).
Threat & Defense at a Glance
Threat & Defense Details
Mitigating Controls (NIST 800-53 r5)AI
Directly requires timely patching of the integer overflow vulnerability in LibRaw to prevent heap buffer overflows from malicious DNG files.
Mandates validation of image file inputs to block specially crafted malicious DNG files from triggering the overflow during processing.
Provides memory protection mechanisms that mitigate exploitation of the heap buffer overflow even if a malformed DNG file is processed.
MITRE ATT&CK Enterprise TechniquesAI
Why these techniques?
Integer overflow in LibRaw DNG parser enables RCE via crafted image files supplied to network-facing or automated image-processing applications (T1190) or via malicious file delivery (T1204.002).
NVD Description
An integer overflow vulnerability exists in the uncompressed_fp_dng_load_raw functionality of LibRaw Commit 8dc68e2. A specially crafted malicious file can lead to a heap buffer overflow. An attacker can provide a malicious file to trigger this vulnerability.
Deeper analysisAI
CVE-2026-24450 is an integer overflow vulnerability (CWE-190) in the uncompressed_fp_dng_load_raw functionality of LibRaw at commit 8dc68e2. The flaw occurs when processing a specially crafted malicious DNG file, leading to a heap buffer overflow. LibRaw is a popular open-source library used for reading RAW image files, including Adobe's Digital Negative (DNG) format, and is integrated into various image processing applications and tools.
The vulnerability has a CVSS v3.1 base score of 8.1 (AV:N/AC:H/PR:N/UI:N/S:U/C:H/I:H/A:H), indicating it is exploitable over the network with high attack complexity but no privileges or user interaction required. An attacker can supply a malicious DNG file to a vulnerable LibRaw instance—such as in applications that automatically process images from untrusted sources like email attachments, web uploads, or shared storage—potentially achieving remote code execution, data corruption, or denial of service through the resulting heap overflow.
Mitigation details are available in the Talos Intelligence advisory at https://talosintelligence.com/vulnerability_reports/TALOS-2026-2363. Security practitioners should update to a patched version of LibRaw beyond commit 8dc68e2 and validate image files before processing with the library.
Details
- CWE(s)