CVE-2024-36048
CVE-2024-36048
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
QAbstractOAuth in Qt Network Authorization in Qt before 5.15.17, 6.x before 6.2.13, 6.3.x through 6.5.x before 6.5.6, and 6.6.x through 6.7.x before 6.7.1 uses only the time to seed the PRNG, which may result in guessable values.
Comprehensive Technical Analysis of CVE-2024-36048
1. Vulnerability Assessment and Severity Evaluation
CVE ID: CVE-2024-36048
Description: The vulnerability affects the QAbstractOAuth component in Qt Network Authorization. The issue arises from the use of only the time to seed the Pseudo-Random Number Generator (PRNG), which can lead to predictable and guessable values.
CVSS Score: 9.8
Severity: Critical
The high CVSS score of 9.8 indicates that this vulnerability is highly severe. The use of a weak PRNG seed can result in predictable random values, which can be exploited by attackers to compromise the security of applications relying on the QAbstractOAuth component.
2. Potential Attack Vectors and Exploitation Methods
Attack Vectors:
- Predictable Random Values: An attacker can predict the random values generated by the PRNG due to the weak seeding mechanism. This can be exploited to guess tokens, session IDs, or other security-sensitive values.
- Replay Attacks: Predictable values can be reused by attackers to perform replay attacks, where they resend valid data to impersonate a legitimate user.
- Brute Force Attacks: The predictability of the PRNG output can significantly reduce the effort required for brute force attacks, making it easier to guess sensitive information.
Exploitation Methods:
- Token Prediction: Attackers can predict OAuth tokens generated by the vulnerable component, allowing them to gain unauthorized access to user accounts.
- Session Hijacking: By predicting session IDs, attackers can hijack user sessions and perform actions on behalf of the user.
- Data Tampering: Predictable values can be used to tamper with data integrity checks, allowing attackers to modify data without detection.
3. Affected Systems and Software Versions
Affected Versions:
- Qt 5.15.x before 5.15.17
- Qt 6.x before 6.2.13
- Qt 6.3.x through 6.5.x before 6.5.6
- Qt 6.6.x through 6.7.x before 6.7.1
Affected Components:
- QAbstractOAuth in Qt Network Authorization
Impacted Systems:
- Any application or system that uses the affected versions of Qt and relies on the QAbstractOAuth component for OAuth authentication.
4. Recommended Mitigation Strategies
Immediate Actions:
- Update Qt: Upgrade to the patched versions of Qt (5.15.17, 6.2.13, 6.5.6, or 6.7.1) to mitigate the vulnerability.
- Monitor and Audit: Implement monitoring and auditing to detect any unusual activity that may indicate exploitation attempts.
Long-Term Strategies:
- Enhanced PRNG Seeding: Ensure that the PRNG is seeded with a combination of multiple entropy sources, such as system time, hardware random number generators, and other environmental variables.
- Regular Security Audits: Conduct regular security audits and code reviews to identify and address similar vulnerabilities.
- Implement Strong Authentication: Use multi-factor authentication (MFA) to add an additional layer of security.
5. Impact on Cybersecurity Landscape
Broader Implications:
- Widespread Use of Qt: Qt is widely used in various applications, including desktop, mobile, and embedded systems. This vulnerability can have a broad impact across multiple industries.
- Trust in OAuth: The vulnerability undermines the trust in OAuth-based authentication mechanisms, potentially leading to a loss of confidence in applications relying on this method.
- Increased Attack Surface: The predictability of random values increases the attack surface, making it easier for attackers to exploit other vulnerabilities in the system.
Industry Response:
- Vendor Patches: Qt has released patches to address the vulnerability, and it is crucial for developers to apply these updates promptly.
- Community Awareness: The cybersecurity community should be aware of the potential risks and take proactive measures to mitigate similar issues in other software components.
6. Technical Details for Security Professionals
Technical Analysis:
- PRNG Seeding Mechanism: The vulnerability stems from the use of only the time as the seed for the PRNG. This results in a limited entropy source, making the generated values predictable.
- Code Review: The patches provided in the references (e.g., https://codereview.qt-project.org/c/qt/qtnetworkauth/+/560317) address the issue by incorporating additional entropy sources into the PRNG seeding process.
- Third-Party Advisories: Advisories from third-party sources, such as Fedora Project, provide additional context and recommendations for mitigating the vulnerability.
Recommendations for Developers:
- Entropy Sources: Ensure that the PRNG is seeded with multiple entropy sources to increase the unpredictability of the generated values.
- Code Audits: Regularly audit the codebase for similar issues and ensure that cryptographic functions are implemented securely.
- Security Best Practices: Follow security best practices for implementing OAuth and other authentication mechanisms to minimize the risk of vulnerabilities.
In conclusion, CVE-2024-36048 is a critical vulnerability that affects the QAbstractOAuth component in Qt. Immediate action is required to update to the patched versions and implement additional security measures to mitigate the risk. The broader cybersecurity community should be vigilant and proactive in addressing similar issues to maintain the integrity and security of applications.