EUVD-2024-38934

Comprehensive Technical Analysis of EUVD-2024-38934

1. Vulnerability Assessment and Severity Evaluation

Vulnerability Description: The vulnerability in streamlit-geospatial, a Streamlit multipage app for geospatial applications, arises from the improper handling of user input. Specifically, the palette variable on line 488 in pages/1_📷_Timelapse.py is directly used in the eval() function on line 493, leading to remote code execution (RCE).

Severity Evaluation:

• Base Score: 9.8 (Critical)
• Base Score Version: CVSS 3.1
• Base Score Vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H

The high base score indicates a critical vulnerability due to the potential for remote code execution, which can lead to complete system compromise. The attack vector is network-based (AV:N), requires low complexity (AC:L), no privileges (PR:N), and no user interaction (UI:N). The impact on confidentiality, integrity, and availability is high (C:H/I:H/A:H).

2. Potential Attack Vectors and Exploitation Methods

Attack Vectors:

• Remote Code Execution (RCE): An attacker can inject malicious code through the palette variable, which is then executed by the eval() function.
• Network-Based Attacks: Since the attack vector is network-based, an attacker can exploit this vulnerability over the internet.

Exploitation Methods:

• Code Injection: An attacker can craft a payload that includes malicious code and inject it into the palette variable.
• Automated Exploitation: Given the low complexity and lack of user interaction required, automated scripts can be used to exploit this vulnerability en masse.

3. Affected Systems and Software Versions

Affected Systems:

• Any system running the streamlit-geospatial application prior to the commit c4f81d9616d40c60584e36abb15300853a66e489.

Software Versions:

• streamlit-geospatial versions prior to the commit c4f81d9616d40c60584e36abb15300853a66e489.

4. Recommended Mitigation Strategies

Immediate Mitigation:

• Update Software: Ensure that all instances of streamlit-geospatial are updated to include the commit c4f81d9616d40c60584e36abb15300853a66e489 or later.
• Input Validation: Implement strict input validation and sanitization for all user inputs, especially those used in dynamic code execution functions like eval().

Long-Term Mitigation:

• Code Review: Conduct thorough code reviews to identify and mitigate similar vulnerabilities.
• Security Training: Provide security training for developers to avoid using functions like eval() with user input.
• Regular Updates: Ensure regular updates and patches are applied to all software components.

5. Impact on European Cybersecurity Landscape

Impact Analysis:

• Critical Infrastructure: If streamlit-geospatial is used in critical infrastructure or governmental systems, the vulnerability could lead to significant disruptions and data breaches.
• Data Integrity: The high impact on integrity means that sensitive data could be compromised, leading to potential legal and financial repercussions.
• Public Trust: Incidents resulting from this vulnerability could erode public trust in digital services and applications.

Regulatory Compliance:

• GDPR: Organizations must ensure that personal data is protected, and any breach could result in severe penalties under GDPR.
• NIS Directive: Critical infrastructure providers must comply with the NIS Directive, which mandates robust cybersecurity measures.

6. Technical Details for Security Professionals

Vulnerability Details:

• File: pages/1_📷_Timelapse.py
• Lines Affected: 488 (palette variable) and 493 (eval() function)
• Commit Fix: c4f81d9616d40c60584e36abb15300853a66e489

References:

• GitHub Security Advisory
• Commit Fix
• Vulnerable Code
• Exploitation Point

Additional Recommendations:

• Monitoring: Implement continuous monitoring to detect any unusual activities that may indicate an exploitation attempt.
• Incident Response: Develop and test an incident response plan to quickly address any potential breaches.

By addressing this vulnerability promptly and comprehensively, organizations can mitigate the risk of severe cybersecurity incidents and ensure the integrity and availability of their systems.