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CVE Vulnerability Database
Vulnerability Database/CVE-2026-24799

CVE-2026-24799: dlib Buffer Overflow Vulnerability

CVE-2026-24799 is a classic buffer overflow flaw in the dlib library's zlib module that allows out-of-bounds writes. This article covers the technical details, affected versions before v19.24.9, impact, and mitigation.

Published: January 30, 2026

CVE-2026-24799 Overview

CVE-2026-24799 is a buffer overflow vulnerability affecting the dlib machine learning library, specifically within the dlib/external/zlib modules. The vulnerability exists in the inflate.C file and is caused by an out-of-bounds write condition where buffer copy operations fail to verify the size of input data before processing. This classic buffer overflow flaw can allow an attacker with local access to potentially corrupt memory, leading to denial of service or limited integrity impact.

Critical Impact

Local attackers with user interaction could exploit this buffer overflow vulnerability to cause high availability impact through memory corruption, with potential for limited integrity violations on both the vulnerable system and downstream components.

Affected Products

  • dlib versions prior to v19.24.9
  • Applications integrating dlib's bundled zlib modules
  • Machine learning pipelines using vulnerable dlib builds

Discovery Timeline

  • 2026-01-27 - CVE CVE-2026-24799 published to NVD
  • 2026-01-27 - Last updated in NVD database

Technical Details for CVE-2026-24799

Vulnerability Analysis

This vulnerability is classified under CWE-120 (Buffer Copy without Checking Size of Input), commonly known as a classic buffer overflow. The flaw resides in the inflation/decompression logic within dlib's bundled zlib implementation. When processing compressed data streams, the inflate.C module fails to properly validate the size of input before performing memory copy operations, allowing data to be written beyond the allocated buffer boundaries.

The attack requires local access to the system and user interaction, which limits the attack surface. However, successful exploitation can result in high availability impact through application crashes or system instability. Additionally, limited integrity violations are possible on both the vulnerable system and secondary systems that depend on the corrupted output.

Root Cause

The root cause of this vulnerability is improper bounds checking in the inflate.C file within dlib's external zlib modules. During decompression operations, the code performs buffer copy operations without adequately verifying that the destination buffer has sufficient capacity to hold the incoming data. This oversight allows specially crafted compressed input to trigger out-of-bounds write operations, corrupting adjacent memory regions.

Attack Vector

The vulnerability requires local access to exploit, meaning an attacker must have the ability to provide malicious input to an application using the vulnerable dlib library. The attack vector involves supplying a specially crafted compressed data stream that, when processed by the vulnerable inflate.C code, causes the buffer overflow condition.

The exploitation scenario typically involves:

  1. Identifying an application that uses dlib's bundled zlib for decompression tasks
  2. Crafting a malicious compressed payload designed to overflow internal buffers
  3. Delivering the payload to the target application through a file, network stream, or other input mechanism
  4. Triggering the decompression operation to execute the buffer overflow

The vulnerability mechanism exists in the inflation decompression routines where input size validation is insufficient. When processing compressed data streams, the affected code paths copy data without verifying buffer boundaries, enabling memory corruption. For detailed technical information, see the GitHub Pull Request #3063 which addresses this issue.

Detection Methods for CVE-2026-24799

Indicators of Compromise

  • Unexpected application crashes or segmentation faults in applications using dlib
  • Memory corruption errors in logs associated with decompression operations
  • Abnormal memory access patterns detected by runtime protection tools
  • Core dumps indicating buffer overflow conditions in inflate.C or related zlib modules

Detection Strategies

  • Deploy runtime memory protection tools (ASAN, Valgrind) to detect out-of-bounds write operations in development and testing environments
  • Implement file integrity monitoring on applications using dlib to detect unexpected modifications
  • Configure application logging to capture decompression errors and memory allocation failures
  • Use SentinelOne Singularity platform's behavioral detection to identify memory corruption attempts

Monitoring Recommendations

  • Monitor system logs for application crashes related to dlib-dependent processes
  • Track memory utilization anomalies in applications processing compressed data
  • Configure alerts for repeated decompression failures that may indicate exploitation attempts
  • Enable endpoint detection and response (EDR) monitoring for suspicious process behavior

How to Mitigate CVE-2026-24799

Immediate Actions Required

  • Upgrade dlib to version v19.24.9 or later immediately
  • Audit applications to identify those using dlib's bundled zlib modules
  • Implement input validation for compressed data before processing with dlib
  • Consider using system zlib libraries instead of dlib's bundled version where possible

Patch Information

The vulnerability has been addressed in dlib version v19.24.9. The fix is documented in GitHub Pull Request #3063, which implements proper bounds checking in the affected inflate.C module. Organizations should update to the patched version as soon as possible to eliminate this vulnerability.

Workarounds

  • Restrict local access to systems running vulnerable dlib applications to trusted users only
  • Implement strict input validation and sanitization for all compressed data before processing
  • Deploy runtime memory protection mechanisms such as Address Space Layout Randomization (ASLR) and stack canaries
  • Consider sandboxing applications that process untrusted compressed data

If immediate patching is not possible, administrators should implement defense-in-depth measures while planning the upgrade:

bash
# Verify current dlib version in Python environments
pip show dlib | grep Version

# Upgrade dlib to patched version
pip install --upgrade dlib>=19.24.9

# For compiled applications, rebuild with updated dlib source
git clone https://github.com/davisking/dlib.git
cd dlib
git checkout v19.24.9
mkdir build && cd build
cmake ..
make -j$(nproc)

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

  • Vulnerability Details
  • TypeBuffer Overflow

  • Vendor/TechDlib

  • SeverityMEDIUM

  • CVSS Score5.2

  • EPSS Probability0.01%

  • Known ExploitedNo
  • CVSS Vector
  • CVSS:4.0/AV:L/AC:L/AT:N/PR:L/UI:A/VC:N/VI:L/VA:H/SC:N/SI:L/SA:L/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:N/AU:Y/R:U/V:C/RE:L/U:Amber
  • Impact Assessment
  • ConfidentialityLow
  • IntegrityLow
  • AvailabilityHigh
  • CWE References
  • CWE-120
  • Technical References
  • GitHub Pull Request
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