CVE-2024-41113

Comprehensive Technical Analysis of CVE-2024-41113

1. Vulnerability Assessment and Severity Evaluation

CVE ID: CVE-2024-41113

Description: The vulnerability exists in the streamlit-geospatial application, specifically in the pages/1_📷_Timelapse.py file. Prior to commit c4f81d9616d40c60584e36abb15300853a66e489, the vis_params variable on lines 383 and 390 takes user input, which is later used in the eval() function on line 395. This leads to a remote code execution (RCE) vulnerability.

CVSS Score: 9.8

Severity Evaluation:

• Critical: The CVSS score of 9.8 indicates a critical vulnerability. The use of eval() with user input allows for arbitrary code execution, which can be exploited to gain control over the affected system.

2. Potential Attack Vectors and Exploitation Methods

Attack Vectors:

• Remote Code Execution (RCE): An attacker can craft malicious input for the vis_params variable, which is then executed by the eval() function. This can lead to arbitrary code execution on the server.
• Injection Attacks: The vulnerability can be exploited to inject malicious code, leading to data exfiltration, system compromise, or further attacks within the network.

Exploitation Methods:

• Crafted Input: An attacker can send specially crafted input to the application, which is then evaluated by the eval() function. This input can include commands to execute arbitrary code, access sensitive data, or perform other malicious actions.
• Automated Tools: Attackers may use automated tools to scan for vulnerable instances of the streamlit-geospatial application and exploit the vulnerability.

3. Affected Systems and Software Versions

Affected Systems:

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

Software Versions:

• All versions of streamlit-geospatial before the fix commit c4f81d9616d40c60584e36abb15300853a66e489.

4. Recommended Mitigation Strategies

Immediate Actions:

• Update Software: Ensure that the streamlit-geospatial application is updated to include the fix commit c4f81d9616d40c60584e36abb15300853a66e489.
• Input Validation: Implement strict input validation and sanitization to prevent malicious input from being processed by the eval() function.
• Disable eval(): Avoid using the eval() function for processing user input. Use safer alternatives such as predefined functions or libraries.

Long-Term Strategies:

• Code Review: Conduct thorough code reviews to identify and mitigate similar vulnerabilities.
• Security Training: Provide security training for developers to educate them on the risks associated with using functions like eval().
• Regular Updates: Ensure that all software dependencies are regularly updated to include the latest security patches.

5. Impact on Cybersecurity Landscape

Immediate Impact:

• System Compromise: Organizations using the vulnerable version of streamlit-geospatial are at risk of system compromise, data breaches, and further attacks.
• Reputation Damage: Successful exploitation can lead to significant reputational damage for affected organizations.

Long-Term Impact:

• Increased Awareness: This vulnerability highlights the risks associated with using functions like eval() and the importance of input validation.
• Best Practices: The incident serves as a reminder for developers to follow best practices for secure coding and to avoid using dangerous functions for processing user input.

6. Technical Details for Security Professionals

Vulnerable Code:

# pages/1_📷_Timelapse.py
vis_params = user_input  # Line 383 or 390
eval(vis_params)  # Line 395

Fixed Code:

# pages/1_📷_Timelapse.py
vis_params = user_input  # Line 383 or 390
# Safe processing of vis_params without using eval()

References:

• GitHub Commit Fix
• GitHub Security Advisory

Conclusion: CVE-2024-41113 is a critical vulnerability that underscores the importance of secure coding practices. Organizations should prioritize updating their systems and implementing robust input validation to mitigate similar risks in the future.