CVE-2024-36761
CVE-2024-36761
Weakness (CWE)
CVSS Vector
v3.1- Attack Vector
- Network
- Attack Complexity
- Low
- Privileges Required
- None
- User Interaction
- None
- Scope
- Unchanged
- Confidentiality
- High
- Integrity
- High
- Availability
- High
Description
naga v0.14.0 was discovered to contain a stack overflow via the component /wgsl/parse/mod.rs.
Comprehensive Technical Analysis of CVE-2024-36761
1. Vulnerability Assessment and Severity Evaluation
CVE ID: CVE-2024-36761 CVSS Score: 9.8
The vulnerability in question is a stack overflow in the naga library, specifically in the /wgsl/parse/mod.rs component. A stack overflow occurs when a program writes more data to a buffer located on the stack than is actually allocated for that buffer. This can lead to corruption of adjacent data, crashes, or arbitrary code execution.
Severity Evaluation:
- CVSS Score: 9.8 (Critical)
- Impact: High
- Exploitability: High
The high CVSS score indicates that this vulnerability is critical and poses a significant risk. The potential for arbitrary code execution makes it particularly dangerous.
2. Potential Attack Vectors and Exploitation Methods
Attack Vectors:
- Malicious Input: An attacker could craft a specially designed input that, when parsed by the vulnerable component, triggers the stack overflow.
- Remote Exploitation: If the
nagalibrary is used in a network-facing application, an attacker could exploit this vulnerability remotely by sending malicious data over the network.
Exploitation Methods:
- Buffer Overflow: By sending a large amount of data that exceeds the allocated buffer size, an attacker can overwrite adjacent memory, potentially leading to code execution.
- Return-Oriented Programming (ROP): An attacker could use ROP techniques to chain together small pieces of existing code (gadgets) to perform arbitrary operations.
3. Affected Systems and Software Versions
Affected Software:
nagalibrary version 0.14.0
Affected Systems:
- Any system or application that uses the
nagalibrary version 0.14.0, particularly those that parse WGSL (WebGPU Shading Language) code.
4. Recommended Mitigation Strategies
Immediate Mitigation:
- Upgrade: Upgrade to a patched version of the
nagalibrary as soon as it becomes available. - Input Validation: Implement strict input validation to ensure that data passed to the vulnerable component does not exceed expected sizes.
- Memory Protection: Enable stack protection mechanisms such as stack canaries and address space layout randomization (ASLR).
Long-Term Mitigation:
- Code Review: Conduct a thorough code review of the
nagalibrary to identify and fix similar vulnerabilities. - Fuzz Testing: Implement fuzz testing to automatically discover and address buffer overflow issues.
- Security Training: Provide security training for developers to ensure they are aware of common vulnerabilities and best practices for secure coding.
5. Impact on Cybersecurity Landscape
The discovery of this vulnerability highlights the importance of secure coding practices and the need for continuous monitoring and updating of software dependencies. Given the critical nature of the vulnerability, it underscores the potential risks associated with third-party libraries and the necessity for robust security measures in software development.
6. Technical Details for Security Professionals
Vulnerable Component:
/wgsl/parse/mod.rsinnagalibrary version 0.14.0
Technical Analysis:
- The stack overflow occurs due to insufficient bounds checking when parsing WGSL code. This allows an attacker to overwrite the stack, leading to potential code execution.
- The vulnerability can be exploited by crafting a malicious WGSL input that exceeds the allocated buffer size.
Detection and Response:
- Detection: Implement intrusion detection systems (IDS) to monitor for unusual patterns in network traffic or application behavior that may indicate an exploitation attempt.
- Response: Have an incident response plan in place to quickly address any detected exploitation attempts. This includes isolating affected systems, applying patches, and conducting a post-incident analysis.
References:
By addressing this vulnerability promptly and implementing robust security measures, organizations can mitigate the risk of exploitation and protect their systems from potential attacks.