CVE-2024-24593
CVE-2024-24593
Weakness (CWE)
CVSS Vector
v3.1- Attack Vector
- Network
- Attack Complexity
- Low
- Privileges Required
- None
- User Interaction
- Required
- Scope
- Changed
- Confidentiality
- High
- Integrity
- High
- Availability
- High
Description
A cross-site request forgery (CSRF) vulnerability in all versions up to 1.14.1 of the api server component of Allegro AI’s ClearML platform allows a remote attacker to impersonate a user by sending API requests via maliciously crafted html. Exploitation of the vulnerability allows an attacker to compromise confidential workspaces and files, leak sensitive information, and target instances of the ClearML platform within closed off networks.
Comprehensive Technical Analysis of CVE-2024-24593
1. Vulnerability Assessment and Severity Evaluation
CVE ID: CVE-2024-24593 CVSS Score: 9.6
The vulnerability in question is a Cross-Site Request Forgery (CSRF) issue affecting the API server component of Allegro AI’s ClearML platform. The CVSS score of 9.6 indicates a critical severity level, reflecting the potential for significant impact if exploited. This high score is likely due to the vulnerability's ability to allow remote attackers to impersonate users, compromise confidential workspaces and files, and leak sensitive information.
2. Potential Attack Vectors and Exploitation Methods
Attack Vectors:
- Maliciously Crafted HTML: An attacker can craft HTML content that, when viewed by a user, triggers unauthorized API requests to the ClearML platform.
- Phishing Emails: Attackers may send phishing emails containing links to malicious HTML pages designed to exploit the CSRF vulnerability.
- Compromised Websites: Attackers can compromise legitimate websites to host malicious HTML content, increasing the likelihood of users falling victim to the attack.
Exploitation Methods:
- Session Hijacking: By exploiting the CSRF vulnerability, attackers can hijack user sessions and perform actions on behalf of the user.
- Data Exfiltration: Attackers can exfiltrate sensitive data by sending unauthorized API requests that retrieve confidential information.
- Internal Network Attacks: If the ClearML platform is deployed within a closed network, attackers can use the CSRF vulnerability to target internal instances, potentially leading to lateral movement within the network.
3. Affected Systems and Software Versions
Affected Software:
- Allegro AI’s ClearML platform
- API server component
- All versions up to 1.14.1
Affected Systems:
- Any system running the vulnerable versions of the ClearML platform.
- Systems within closed networks where the ClearML platform is deployed.
4. Recommended Mitigation Strategories
Immediate Actions:
- Patching: Upgrade to the latest version of the ClearML platform that addresses the CSRF vulnerability.
- CSRF Tokens: Implement CSRF tokens to validate the authenticity of API requests.
- SameSite Cookies: Use the SameSite attribute for cookies to prevent them from being sent along with cross-site requests.
Long-Term Strategies:
- Regular Security Audits: Conduct regular security audits and vulnerability assessments to identify and mitigate similar issues.
- User Education: Educate users about the risks of phishing and the importance of verifying the authenticity of emails and links.
- Network Segmentation: Implement network segmentation to limit the impact of potential attacks within closed networks.
5. Impact on Cybersecurity Landscape
The discovery of this CSRF vulnerability highlights the importance of securing API endpoints, especially in platforms that handle sensitive data and operations. It underscores the need for robust security measures in MLOps solutions, which are increasingly critical in the machine learning and AI ecosystems. The high CVSS score indicates the potential for significant damage, emphasizing the necessity for proactive security practices and continuous monitoring.
6. Technical Details for Security Professionals
Technical Description:
- The vulnerability arises from the lack of proper CSRF protection mechanisms in the API server component of the ClearML platform.
- Attackers can exploit this by crafting HTML content that triggers unauthorized API requests when viewed by a user.
- The exploitation can lead to session hijacking, data exfiltration, and compromise of internal network instances.
Detection and Monitoring:
- Log Analysis: Monitor API request logs for unusual patterns or unauthorized requests.
- Intrusion Detection Systems (IDS): Deploy IDS to detect and alert on suspicious activities related to CSRF attacks.
- Web Application Firewalls (WAF): Use WAFs to filter out malicious requests and protect against CSRF attacks.
References:
By addressing this vulnerability promptly and implementing robust security measures, organizations can mitigate the risks associated with CSRF attacks and protect their sensitive data and operations.