EUVD-2024-38932

Comprehensive Technical Analysis of EUVD-2024-38932

1. Vulnerability Assessment and Severity Evaluation

Vulnerability Description: The vulnerability in streamlit-geospatial, a multipage app for geospatial applications, involves the vis_params variable on lines 383 and 390 in pages/1_📷_Timelapse.py. This variable takes user input, which is subsequently used in the eval() function on line 395. The eval() function executes the input as Python code, leading to remote code execution (RCE).

Severity Evaluation: The vulnerability has a CVSS Base Score of 9.8, which is considered critical. The CVSS vector CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H indicates:

• Attack Vector (AV): Network (N)
• Attack Complexity (AC): Low (L)
• Privileges Required (PR): None (N)
• User Interaction (UI): None (N)
• Scope (S): Unchanged (U)
• Confidentiality (C): High (H)
• Integrity (I): High (H)
• Availability (A): High (H)

This high score reflects the severe impact on confidentiality, integrity, and availability, making it a critical vulnerability.

2. Potential Attack Vectors and Exploitation Methods

Attack Vectors:

• Remote Code Execution (RCE): An attacker can inject malicious code through the vis_params variable, which is executed by the eval() function.
• Unauthenticated Access: The vulnerability can be exploited without requiring any privileges or user interaction, making it highly accessible to attackers.

Exploitation Methods:

• Code Injection: An attacker can craft a payload that includes malicious Python code, which will be executed by the eval() function.
• Data Exfiltration: The attacker can use the injected code to exfiltrate sensitive data from the application.
• System Compromise: The attacker can execute commands to compromise the underlying system, potentially leading to further attacks.

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 before the commit c4f81d9616d40c60584e36abb15300853a66e489.

4. Recommended Mitigation Strategies

Immediate Actions:

• Update Software: Ensure that the streamlit-geospatial application is updated to the version that includes the commit c4f81d9616d40c60584e36abb15300853a66e489 or later.
• Input Validation: Implement strict input validation and sanitization for all user inputs to prevent code injection.
• Avoid eval(): Refrain from using the eval() function for executing user-provided input. Use safer alternatives like ast.literal_eval() for evaluating literals.

Long-Term Strategies:

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

5. Impact on European Cybersecurity Landscape

Impact Analysis:

• Widespread Use: Given the potential widespread use of streamlit-geospatial in geospatial applications, this vulnerability poses a significant risk to organizations relying on such applications.
• Data Sensitivity: Geospatial data often includes sensitive information, making data exfiltration a critical concern.
• Regulatory Compliance: Organizations must ensure compliance with European data protection regulations, such as GDPR, which could be violated if sensitive data is compromised.

Mitigation in European Context:

• Collaboration: Encourage collaboration between European cybersecurity agencies and software vendors to quickly identify and mitigate such vulnerabilities.
• Awareness Campaigns: Launch awareness campaigns to educate organizations about the risks and best practices for securing geospatial applications.

6. Technical Details for Security Professionals

Code Analysis:

• Vulnerable Code:

  vis_params = st.text_input("Enter visualization parameters")
  eval(vis_params)
  

• Fixed Code:

  vis_params = st.text_input("Enter visualization parameters")
  # Use a safer alternative to eval()
  

References:

• Advisory: GitHub Security Lab Advisory
• Commit: Fix Commit
• Code Snippets:
  • Line 383-388
  • Line 390-393
  • Line 395

Conclusion: This vulnerability highlights the importance of secure coding practices and regular updates. Organizations should prioritize updating their streamlit-geospatial applications and implement robust input validation to mitigate similar risks in the future.