Description
In Raptor RDF Syntax Library through 2.0.16, there is an integer underflow when normalizing a URI with the turtle parser in raptor_uri_normalize_path().
EPSS Score:
0%
Comprehensive Technical Analysis of EUVD-2024-53767
1. Vulnerability Assessment and Severity Evaluation
The vulnerability EUVD-2024-53767, also known as CVE-2024-57823, pertains to an integer underflow in the Raptor RDF Syntax Library through version 2.0.16. This issue occurs during the normalization of a URI with the turtle parser in the function raptor_uri_normalize_path().
Severity Evaluation:
- Base Score: 9.3 (Critical)
- Base Score Version: 3.1
- Base Score Vector: CVSS:3.1/AV:L/AC:L/PR:N/UI:N/S:C/C:H/I:H/A:H
The CVSS score of 9.3 indicates a critical vulnerability. The vector breakdown shows:
- Attack Vector (AV): Local (L)
- Attack Complexity (AC): Low (L)
- Privileges Required (PR): None (N)
- User Interaction (UI): None (N)
- Scope (S): Changed (C)
- Confidentiality (C): High (H)
- Integrity (I): High (H)
- Availability (A): High (H)
This vulnerability is severe due to its potential to compromise confidentiality, integrity, and availability with low complexity and no user interaction required.
2. Potential Attack Vectors and Exploitation Methods
Attack Vectors:
- Local Exploitation: An attacker with local access to the system can exploit this vulnerability by crafting a malicious URI that triggers the integer underflow during normalization.
- Supply Chain Attack: If the Raptor RDF Syntax Library is used in a larger application, an attacker could introduce a malicious URI through a compromised data source or input.
Exploitation Methods:
- Crafted URI: An attacker can create a specially crafted URI that, when processed by the turtle parser, causes an integer underflow. This could lead to arbitrary code execution or a denial of service (DoS).
- Fuzzing: Automated fuzzing techniques can be used to identify and exploit the integer underflow by generating a large number of malformed URIs.
3. Affected Systems and Software Versions
Affected Software:
- Raptor RDF Syntax Library: Versions 0 through 2.0.16
Affected Systems:
- Any system or application that uses the Raptor RDF Syntax Library for parsing RDF data, particularly those that handle URIs with the turtle parser.
4. Recommended Mitigation Strategies
Immediate Mitigation:
- Upgrade: Upgrade to a patched version of the Raptor RDF Syntax Library if available.
- Input Validation: Implement strict input validation to ensure that URIs are well-formed before processing.
- Access Control: Restrict local access to trusted users only.
Long-Term Mitigation:
- Code Review: Conduct a thorough code review to identify and fix similar issues in other parts of the library.
- Security Training: Provide security training for developers to understand and avoid common vulnerabilities like integer underflows.
- Regular Updates: Ensure that all software dependencies are regularly updated to the latest versions.
5. Impact on European Cybersecurity Landscape
The vulnerability poses a significant risk to European organizations that rely on the Raptor RDF Syntax Library for processing RDF data. Given the critical nature of the vulnerability, it could be exploited to compromise sensitive data, disrupt services, and potentially lead to broader cybersecurity incidents. Organizations in sectors such as healthcare, finance, and government, which handle sensitive information, are particularly at risk.
6. Technical Details for Security Professionals
Technical Overview:
- Vulnerable Function:
raptor_uri_normalize_path() - Issue: Integer underflow during URI normalization
- Parser: Turtle parser
Detection and Monitoring:
- Logging: Implement detailed logging for URI normalization processes to detect anomalies.
- Intrusion Detection Systems (IDS): Use IDS to monitor for unusual patterns in URI processing.
- Static Analysis: Perform static code analysis to identify similar issues in other parts of the codebase.
Patching and Testing:
- Patch Development: Develop and test a patch that addresses the integer underflow issue.
- Regression Testing: Conduct thorough regression testing to ensure that the patch does not introduce new vulnerabilities or break existing functionality.
References:
By addressing this vulnerability promptly and comprehensively, organizations can mitigate the risk of exploitation and ensure the security and integrity of their systems.