EUVD-2024-38931

Comprehensive Technical Analysis of EUVD-2024-38931

1. Vulnerability Assessment and Severity Evaluation

Vulnerability Description: The vulnerability in streamlit-geospatial, a multipage app for geospatial applications, arises from the improper handling of user input in the palette variable within the pages/1_📷_Timelapse.py file. Specifically, this input is passed to the eval() function on line 380, which can lead 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 CVSS score of 9.8 indicates a critical vulnerability due to the following factors:

• 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 potential for severe impact on confidentiality, integrity, and availability of the affected system.

2. Potential Attack Vectors and Exploitation Methods

Attack Vectors:

• Remote Code Execution (RCE): An attacker can exploit this vulnerability by injecting malicious code into 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 without requiring local access.

Exploitation Methods:

• Code Injection: An attacker can craft a specially designed input that, when processed by the eval() function, executes arbitrary code on the server.
• Command Execution: The attacker can execute system commands, leading to further compromise of the server and potentially the entire network.

3. Affected Systems and Software Versions

Affected Software:

• Product: streamlit-geospatial
• Vendor: opengeos
• Versions: All versions prior to commit c4f81d9616d40c60584e36abb15300853a66e489

Affected Systems:

• Any system running the vulnerable versions of streamlit-geospatial, particularly those with the pages/1_📷_Timelapse.py file exposed to user input.

4. Recommended Mitigation Strategies

Immediate Mitigation:

• Patching: Upgrade to the version that includes commit c4f81d9616d40c60584e36abb15300853a66e489 or later.
• Input Validation: Implement strict input validation and sanitization for the palette variable to prevent malicious input.
• Avoid eval(): Refactor the code to avoid using the eval() function, especially with user-provided input.

Long-Term Mitigation:

• Code Review: Conduct thorough code reviews to identify and mitigate similar vulnerabilities.
• Security Training: Educate developers on secure coding practices and the dangers of using functions like eval().
• Regular Updates: Ensure that all software dependencies are regularly updated to their latest versions.

5. Impact on European Cybersecurity Landscape

Impact Assessment:

• Critical Infrastructure: Geospatial applications are often used in critical infrastructure, such as urban planning, environmental monitoring, and disaster management. A vulnerability in such applications can have severe consequences.
• Data Integrity: Compromise of geospatial data can lead to incorrect decision-making, affecting public safety and environmental management.
• Regulatory Compliance: Organizations must ensure compliance with EU regulations such as GDPR and NIS Directive, which mandate robust cybersecurity measures.

Regulatory and Compliance Implications:

• GDPR: Organizations must ensure that personal data is protected, and any breach could result in significant fines.
• NIS Directive: Critical infrastructure providers must implement robust security measures to protect against such vulnerabilities.

6. Technical Details for Security Professionals

Vulnerability Details:

• File: pages/1_📷_Timelapse.py
• Line: 380
• Function: eval()
• Input Variable: palette

Code Snippet (Vulnerable):

palette = user_input  # User input is directly assigned to palette
eval(palette)  # eval() function executes the user input

Code Snippet (Fixed):

# Ensure user input is sanitized and validated
palette = sanitize_input(user_input)
# Avoid using eval() with user input
safe_function(palette)

References:

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

Conclusion: The vulnerability in streamlit-geospatial highlights the importance of secure coding practices, particularly in handling user input and avoiding dangerous functions like eval(). Organizations must prioritize patching and implementing robust security measures to protect against such critical vulnerabilities.