CVE-2024-41119
CVE-2024-41119
Weakness (CWE)
CVSS Vector
v3.1- Attack Vector
- Network
- Attack Complexity
- Low
- Privileges Required
- None
- User Interaction
- None
- Scope
- Unchanged
- Confidentiality
- High
- Integrity
- High
- Availability
- High
Description
streamlit-geospatial is a streamlit multipage app for geospatial applications. Prior to commit c4f81d9616d40c60584e36abb15300853a66e489, the `vis_params` variable on line 80 in `8_🏜️_Raster_Data_Visualization.py` takes user input, which is later used in the `eval()` function on line 86, leading to remote code execution. Commit c4f81d9616d40c60584e36abb15300853a66e489 fixes this issue.
Comprehensive Technical Analysis of CVE-2024-41119
1. Vulnerability Assessment and Severity Evaluation
CVE ID: CVE-2024-41119
Description: The vulnerability exists in the streamlit-geospatial application, specifically in the 8_🏜️_Raster_Data_Visualization.py file. Prior to commit c4f81d9616d40c60584e36abb15300853a66e489, the vis_params variable on line 80 takes user input, which is later used in the eval() function on line 86. This leads to remote code execution (RCE).
CVSS Score: 9.8
Severity Evaluation:
- Critical: The CVSS score of 9.8 indicates a critical vulnerability. The use of the
eval()function with user input allows for arbitrary code execution, which can be exploited to gain unauthorized access, execute malicious code, or compromise the entire system.
2. Potential Attack Vectors and Exploitation Methods
Attack Vectors:
- Remote Code Execution (RCE): An attacker can craft malicious input to the
vis_paramsvariable, which is then executed by theeval()function. This can lead to the execution of arbitrary code on the server. - Data Manipulation: Attackers can manipulate the input to alter the behavior of the application, potentially leading to data corruption or unauthorized data access.
Exploitation Methods:
- Injection Attacks: By injecting malicious code into the
vis_paramsvariable, attackers can exploit theeval()function to execute arbitrary commands. - Phishing and Social Engineering: Attackers can trick users into providing malicious input through phishing emails or social engineering tactics.
3. Affected Systems and Software Versions
Affected Systems:
- Any system running the
streamlit-geospatialapplication prior to the commitc4f81d9616d40c60584e36abb15300853a66e489.
Software Versions:
- All versions of
streamlit-geospatialbefore the fix commitc4f81d9616d40c60584e36abb15300853a66e489.
4. Recommended Mitigation Strategies
Immediate Actions:
- Update Software: Ensure that the
streamlit-geospatialapplication is updated to include the fix commitc4f81d9616d40c60584e36abb15300853a66e489. - Input Validation: Implement strict input validation and sanitization to prevent malicious input from being processed by the
eval()function. - Disable
eval(): Avoid using theeval()function for processing user input. Use safer alternatives like parsing and validating input data.
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 like
eval(). - Regular Updates: Ensure that all software dependencies are regularly updated to mitigate known vulnerabilities.
5. Impact on Cybersecurity Landscape
Immediate Impact:
- High Risk: The vulnerability poses a high risk to organizations using the
streamlit-geospatialapplication, as it can lead to RCE and potential system compromise. - Reputation Damage: Organizations may face reputational damage if their systems are compromised due to this vulnerability.
Long-Term Impact:
- Increased Awareness: This vulnerability highlights the importance of secure coding practices and the risks associated with using unsafe functions like
eval(). - Enhanced Security Measures: Organizations may implement stricter security measures and code reviews to prevent similar vulnerabilities in the future.
6. Technical Details for Security Professionals
Vulnerable Code Snippet:
# 8_🏜️_Raster_Data_Visualization.py
vis_params = user_input # Line 80
eval(vis_params) # Line 86
Fixed Code Snippet:
# 8_🏜️_Raster_Data_Visualization.py
vis_params = user_input # Line 80
# Safe processing of vis_params without using eval()
References:
Conclusion:
The CVE-2024-41119 vulnerability in the streamlit-geospatial application is critical due to its potential for remote code execution. Organizations should immediately update their software and implement robust input validation to mitigate this risk. This incident underscores the importance of secure coding practices and regular security audits.