CVE-2026-24450: LibRaw Buffer Overflow Vulnerability

CVE-2026-24450 Overview

An integer overflow vulnerability exists in the uncompressed_fp_dng_load_raw functionality of LibRaw Commit 8dc68e2. This memory corruption flaw can be triggered when processing specially crafted malicious image files, leading to a heap buffer overflow condition. An attacker can provide a malicious DNG (Digital Negative) file to trigger this vulnerability, potentially achieving arbitrary code execution or causing application crashes.

Critical Impact

Remote attackers can exploit this integer overflow vulnerability via malicious image files to cause heap corruption, potentially leading to arbitrary code execution with the privileges of the vulnerable application.

Affected Products

• LibRaw Commit 8dc68e2
• Applications and libraries that integrate LibRaw for raw image processing
• Photo editing and image processing software using vulnerable LibRaw versions

Discovery Timeline

• 2026-04-07 - CVE-2026-24450 published to NVD
• 2026-04-08 - Last updated in NVD database

Technical Details for CVE-2026-24450

Vulnerability Analysis

This vulnerability is classified as CWE-190 (Integer Overflow or Wraparound). The flaw exists within the uncompressed_fp_dng_load_raw function, which is responsible for handling uncompressed floating-point DNG raw image data. When processing maliciously crafted image files, an arithmetic operation can overflow, resulting in an incorrectly sized memory allocation.

The integer overflow occurs during the calculation of buffer sizes needed to store raw image data. When the computed size wraps around due to the overflow, a smaller-than-expected buffer is allocated on the heap. Subsequent write operations then exceed the boundaries of this undersized buffer, causing a heap buffer overflow condition.

LibRaw is a widely-used library for reading RAW files from digital cameras, making this vulnerability potentially impactful across numerous image processing applications, photo editors, and thumbnail generators that incorporate LibRaw.

Root Cause

The root cause is an integer overflow vulnerability (CWE-190) in the arithmetic calculations performed within the uncompressed_fp_dng_load_raw function. The function fails to properly validate input dimensions or intermediate calculation results before performing memory allocation, allowing attackers to craft input values that cause arithmetic wraparound.

When image dimension or data size parameters are manipulated in a malicious file, the multiplication or addition operations used to compute buffer sizes can overflow the integer bounds, resulting in a much smaller value than intended. This leads to heap buffer allocation that is insufficient to hold the actual image data.

Attack Vector

The attack vector is network-based, requiring no privileges or user interaction beyond opening a malicious file. An attacker can deliver the exploit through various methods:

The attack typically involves crafting a specially constructed DNG image file with manipulated header values that trigger the integer overflow condition. When a vulnerable application attempts to load and process this malicious file, the uncompressed_fp_dng_load_raw function performs the flawed calculation, allocates an insufficient buffer, and subsequently writes beyond the allocated memory region.

Exploitation scenarios include email attachments, malicious websites hosting crafted images, compromised image repositories, or any other vector where a user or automated process might process an attacker-controlled DNG file using LibRaw.

For detailed technical analysis, refer to the Talos Intelligence Vulnerability Report.

Detection Methods for CVE-2026-24450

Indicators of Compromise

• Unexpected application crashes or segmentation faults when processing DNG image files
• Memory corruption errors or heap corruption warnings in application logs
• Anomalous memory allocation patterns in image processing workflows
• Presence of malformed DNG files with unusual dimension or data size values

Detection Strategies

• Monitor for crashes or abnormal termination of applications using LibRaw for raw image processing
• Implement file integrity monitoring to detect suspicious DNG files with anomalous header values
• Deploy memory protection mechanisms such as ASLR and heap canaries to detect exploitation attempts
• Use application-level sandboxing to contain potential exploitation of image processing components

Monitoring Recommendations

• Enable crash reporting and analysis for applications that process raw image formats
• Monitor system logs for segmentation faults and memory access violations in image-related processes
• Implement network traffic analysis to detect distribution of potentially malicious DNG files
• Review file upload and processing pipelines for raw image handling vulnerabilities

How to Mitigate CVE-2026-24450

Immediate Actions Required

• Update LibRaw to the latest patched version that addresses CVE-2026-24450
• Restrict processing of DNG files from untrusted sources until patches are applied
• Implement input validation to reject malformed or suspicious raw image files
• Consider disabling automatic thumbnail generation for raw formats in high-risk environments

Patch Information

The LibRaw development team has addressed this vulnerability in subsequent commits. Organizations should update to the latest stable release of LibRaw that includes the fix for the integer overflow in uncompressed_fp_dng_load_raw. Review the Talos Intelligence Vulnerability Report for specific patch details and remediation guidance.

Workarounds

• Disable processing of uncompressed floating-point DNG files if not required for operations
• Implement strict file type validation and reject DNG files from untrusted sources
• Deploy application sandboxing to limit the impact of potential exploitation
• Use memory-safe compilation flags and runtime protections where available

# Configuration example: Restrict raw image processing to trusted sources
# Add to application configuration or processing pipeline

# Validate file source before LibRaw processing
TRUSTED_SOURCES="/path/to/trusted/images"

# Implement file size limits to catch anomalous files
MAX_RAW_FILE_SIZE="100M"

# Enable memory protection mechanisms
export MALLOC_CHECK_=3
export MALLOC_PERTURB_=$(($RANDOM % 255 + 1))