Description
lunary-ai/lunary version 1.0.1 is vulnerable to improper authorization, allowing removed members to read, create, modify, and delete prompt templates using an old authorization token. Despite being removed from an organization, these members can still perform operations on prompt templates by sending HTTP requests with their previously captured authorization token. This issue exposes organizations to unauthorized access and manipulation of sensitive template data.
EPSS Score:
0%
Comprehensive Technical Analysis of EUVD-2024-17468
1. Vulnerability Assessment and Severity Evaluation
The vulnerability identified in lunary-ai/lunary version 1.0.1 involves improper authorization, allowing removed members to continue accessing and manipulating prompt templates using an old authorization token. This issue is critical because it exposes organizations to unauthorized access and manipulation of sensitive data.
Severity Evaluation:
- Base Score: 9.1
- Base Score Version: 3.0
- Base Score Vector: CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:N
The CVSS score of 9.1 indicates a high severity vulnerability. The key factors contributing to this score include:
- Attack Vector (AV:N): The vulnerability can be exploited over the network.
- Attack Complexity (AC:L): The attack requires low complexity.
- Privileges Required (PR:N): No privileges are required to exploit the vulnerability.
- User Interaction (UI:N): No user interaction is required.
- Scope (S:U): The vulnerability does not change the security scope.
- Confidentiality (C:H): High impact on confidentiality.
- Integrity (I:H): High impact on integrity.
- Availability (A:N): No impact on availability.
2. Potential Attack Vectors and Exploitation Methods
Attack Vectors:
- Network-Based Attacks: An attacker can exploit this vulnerability remotely by sending HTTP requests with a previously captured authorization token.
- Insider Threats: Former members who have been removed from the organization but retain old authorization tokens can exploit this vulnerability.
Exploitation Methods:
- Token Reuse: Attackers can reuse old authorization tokens to perform unauthorized operations on prompt templates.
- Automated Scripts: Attackers can use automated scripts to send HTTP requests with old tokens, allowing them to read, create, modify, and delete prompt templates.
3. Affected Systems and Software Versions
Affected Software:
- lunary-ai/lunary version 1.0.1
Affected Systems:
- Any organization using lunary-ai/lunary version 1.0.1 that has removed members but has not invalidated their authorization tokens.
4. Recommended Mitigation Strategies
Immediate Mitigation:
- Token Revocation: Immediately revoke all old authorization tokens for removed members.
- Access Controls: Implement stricter access controls to ensure that removed members cannot access sensitive data.
Long-Term Mitigation:
- Token Expiry: Implement token expiry policies to ensure that authorization tokens have a limited lifespan.
- Regular Audits: Conduct regular security audits to identify and mitigate similar vulnerabilities.
- Update Software: Upgrade to the latest version of lunary-ai/lunary (version 1.2.8 or higher) which addresses this vulnerability.
5. Impact on European Cybersecurity Landscape
This vulnerability highlights the importance of robust authorization mechanisms and token management in software applications. Organizations across Europe using lunary-ai/lunary must prioritize updating their systems to mitigate the risk of unauthorized access and data manipulation. The European cybersecurity landscape requires continuous vigilance and proactive measures to protect against such vulnerabilities, especially in the context of GDPR compliance and data protection regulations.
6. Technical Details for Security Professionals
Vulnerability Details:
- CVE ID: CVE-2024-1741
- GSD ID: GSD-2024-1741
- Assigner: @huntr_ai
- References:
Technical Recommendations:
- Token Management: Ensure that authorization tokens are securely managed and invalidated upon member removal.
- Logging and Monitoring: Implement logging and monitoring to detect and respond to unauthorized access attempts.
- Incident Response: Develop an incident response plan to address potential breaches resulting from this vulnerability.
Conclusion: The vulnerability in lunary-ai/lunary version 1.0.1 underscores the need for robust authorization mechanisms and proactive security measures. Organizations must prioritize updating their systems and implementing best practices for token management to mitigate the risk of unauthorized access and data manipulation. Continuous monitoring and regular security audits are essential to maintain a strong cybersecurity posture.