CVE-2024-41112

Comprehensive Technical Analysis of CVE-2024-41112

1. Vulnerability Assessment and Severity Evaluation

CVE ID: CVE-2024-41112 CVSS Score: 9.8

The vulnerability in streamlit-geospatial, a Streamlit multipage app for geospatial applications, involves the use of the eval() function on user input. This leads to remote code execution (RCE), which is a critical security risk. The CVSS score of 9.8 indicates a severe vulnerability due to the potential for complete system compromise.

2. Potential Attack Vectors and Exploitation Methods

Attack Vectors:

• User Input Manipulation: An attacker can manipulate the palette variable input to inject malicious code.
• Remote Code Execution: The eval() function executes the injected code, allowing the attacker to run arbitrary commands on the server.

Exploitation Methods:

• Code Injection: By crafting a specially designed input, an attacker can inject Python code that will be executed by the eval() function.
• Command Execution: The injected code can include system commands, leading to further exploitation such as data exfiltration, system compromise, or lateral movement within the network.

3. Affected Systems and Software Versions

Affected Software:

• streamlit-geospatial versions prior to the commit c4f81d9616d40c60584e36abb15300853a66e489.

Systems:

• Any system running the vulnerable version of streamlit-geospatial, particularly those with the pages/1_📷_Timelapse.py script.

4. Recommended Mitigation Strategies

Immediate Actions:

• Update Software: Ensure that the streamlit-geospatial application is updated to include the commit c4f81d9616d40c60584e36abb15300853a66e489 or any subsequent version that addresses the vulnerability.
• Input Validation: Implement strict input validation and sanitization to prevent malicious input from reaching the eval() function.
• Avoid eval(): Refactor the code to avoid using the eval() function, opting for safer alternatives such as predefined functions or libraries.

Long-Term Strategies:

• Regular Audits: Conduct regular code audits and security reviews to identify and mitigate similar vulnerabilities.
• Security Training: Educate developers on secure coding practices and the risks associated with functions like eval().
• Monitoring: Implement monitoring and logging to detect and respond to any suspicious activities or attempted exploits.

5. Impact on Cybersecurity Landscape

The discovery and exploitation of this vulnerability highlight the ongoing risks associated with improper handling of user input and the use of dangerous functions like eval(). It underscores the importance of secure coding practices and the need for continuous monitoring and updating of software dependencies. The high CVSS score indicates the potential for significant damage, including data breaches, system compromises, and financial losses.

6. Technical Details for Security Professionals

Vulnerable Code Snippet:

# pages/1_📷_Timelapse.py
palette = user_input  # User input is directly assigned to palette
eval(palette)  # eval() function executes the user input

Fixed Code Snippet:

# pages/1_📷_Timelapse.py
palette = sanitize_input(user_input)  # Sanitize user input
# Use a safer alternative to eval()

References:

• Vulnerable Code Line 373-376
• Vulnerable Code Line 380
• Patch Commit
• Third Party Advisory

Conclusion: The CVE-2024-41112 vulnerability in streamlit-geospatial is a critical RCE issue that requires immediate attention. Organizations should prioritize updating their software and implementing robust input validation mechanisms to mitigate the risk. This incident serves as a reminder of the importance of secure coding practices and continuous security monitoring.