Skip to main content
CVE Vulnerability Database
Vulnerability Database/CVE-2024-23951

CVE-2024-23951: Libigl Buffer Overflow Vulnerability

CVE-2024-23951 is a buffer overflow flaw in Libigl v2.5.0 that allows attackers to execute out-of-bounds writes via malicious .msh files. This article covers the technical details, affected versions, and mitigation.

Published:

CVE-2024-23951 Overview

CVE-2024-23951 is an out-of-bounds write vulnerability in the readMSH functionality of libigl v2.5.0. The flaw resides in the igl::MshLoader::parse_element_field function while parsing an ASCII .msh file. A specially crafted .msh file containing malicious array index values can trigger an out-of-bounds write during parsing. An attacker can deliver a malicious file to a victim and induce them to open it, leading to memory corruption and potential arbitrary code execution within the affected application.

Critical Impact

Successful exploitation of CVE-2024-23951 enables an attacker to corrupt memory in any application linking libigl v2.5.0, with consequences ranging from process crash to arbitrary code execution under the privileges of the host process.

Affected Products

  • libigl libigl 2.5.0
  • Applications statically or dynamically linking libigl 2.5.0
  • Workflows that ingest untrusted .msh mesh files through libigl's readMSH API

Discovery Timeline

  • 2024-05-28 - CVE-2024-23951 published to NVD
  • 2026-06-17 - Last updated in NVD database

Technical Details for CVE-2024-23951

Vulnerability Analysis

The vulnerability is classified as an out-of-bounds write [CWE-787] in libigl, a header-only C++ geometry processing library. The defect lives in igl::MshLoader::parse_element_field, which handles element field records inside ASCII .msh files used by the Gmsh mesh format. The parser reads index values directly from the file and uses them to address internal arrays without validating that the indices fall within allocated bounds. An attacker who controls the .msh content controls those indices and can therefore write outside the destination buffer.

Because libigl is consumed by geometry, simulation, and computer-graphics tools, the exploitability surface extends to any host application that accepts user-supplied mesh files. Successful exploitation corrupts adjacent heap or stack memory, breaks data structure invariants, and creates a primitive that adversaries can chain into arbitrary code execution.

Root Cause

The root cause is improper array index validation. The parse_element_field routine trusts element identifiers and field offsets extracted from the ASCII stream and applies them as write indices without bounds checks. Crafted indices push writes past the end of the target container, producing an out-of-bounds write condition.

Attack Vector

Exploitation requires user interaction: a victim must open or load the malicious .msh file in an application built on libigl 2.5.0. Delivery channels include email attachments, shared project files, model marketplaces, and pipeline integrations that automatically import mesh assets. No authentication is required against the target system, and the file itself carries the full exploit payload.

The vulnerability is described in prose because no public proof-of-concept code has been released. See the Talos Vulnerability Report #TALOS-2024-1926 for the technical writeup.

Detection Methods for CVE-2024-23951

Indicators of Compromise

  • Unexpected crashes, aborts, or heap corruption messages from applications that parse .msh files using libigl.
  • ASCII .msh files containing element field indices that exceed the declared node or element counts in the file header.
  • Spawned child processes or outbound network connections originating from mesh-processing or CAD applications after opening a .msh file.

Detection Strategies

  • Perform software composition analysis to identify binaries and containers that bundle libigl 2.5.0 or earlier.
  • Add YARA or content-inspection rules that flag .msh files with element field records referencing out-of-range indices.
  • Enable AddressSanitizer or equivalent memory error detectors in build pipelines that consume libigl to surface the out-of-bounds write during testing.

Monitoring Recommendations

  • Log process crashes and Windows Error Reporting or coredump events for engineering and design workstations that handle mesh files.
  • Monitor file ingestion gateways for .msh uploads from untrusted sources and quarantine for inspection.
  • Alert on anomalous child-process creation or network egress from CAD, simulation, and visualization applications.

How to Mitigate CVE-2024-23951

Immediate Actions Required

  • Inventory all internal tools, plugins, and containers that link libigl and confirm whether version 2.5.0 is in use.
  • Block or quarantine .msh files received from external or untrusted sources until libraries are updated.
  • Restrict mesh-import workflows to least-privilege service accounts to limit blast radius on exploitation.

Patch Information

At the time of writing, no fixed libigl release is referenced in the NVD entry for CVE-2024-23951. Track the upstream libigl project and the Talos Vulnerability Report #TALOS-2024-1926 for a patched version. Until a fix is published, rebuild dependent applications with bounds-checking sanitizers and apply the workarounds below.

Workarounds

  • Disable the readMSH ASCII code path in downstream applications where mesh import is not required.
  • Pre-validate .msh files with a hardened parser that enforces strict bounds on element and node indices before passing data to libigl.
  • Open untrusted mesh files only inside sandboxed environments such as containers or virtual machines without sensitive data access.
bash
# Configuration example: scan and quarantine suspicious .msh files before processing
find /ingest -type f -name '*.msh' -print0 | \
  xargs -0 -I{} sh -c 'grep -aE "^[0-9]+ [0-9]+ [0-9]+ [0-9]+" "{}" >/dev/null || mv "{}" /quarantine/'

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

Default Legacy - Prefooter | Experience the World’s Most Advanced Cybersecurity Platform

Experience the Most Advanced Cybersecurity Platform

See how the world’s most intelligent, autonomous cybersecurity platform can protect your organization today and into the future.