AI-detected potential security risk

Information

This package has been flagged by Socket's AI-powered security system for potential security risks. These risks may include suspicious behavior or vulnerabilities that could pose a moderate threat to your codebase.

Socket's AI-powered security system employs advanced static code analysis to scrutinize open-source packages. When a package raises suspicion, a Large Language Model (LLM) performs an in-depth evaluation. If the LLM identifies indicators of security risks within the package, the "AI detected security risk" alert is generated. These alerts undergo subsequent human review to confirm the threat level or adjust the classification if necessary.

Because AI-detected potential security risks can have a significant impact on the security and integrity of your open-source supply chain, they are flagged as medium severity risks.

Recommended actions

Evaluate the package for potential security risks and consider alternatives if the identified risks cannot be mitigated. Implement thorough testing and code review processes to ensure the package's safety.

Investigate the Dependency:

• Perform a detailed review of the flagged package.
• Check the official repository, issue trackers, and recent changes to understand the nature of the potential risks.

Assess the Impact:

• Determine if the identified risks could lead to vulnerabilities such as unauthorized access, data breaches, or code injection.
• Evaluate the severity of the risks in the context of your project.

Implement Mitigation Measures:

• If possible, update or patch the package to mitigate the risks.
• Consider replacing the package with a safer alternative if the risks are too high.

Monitor and Review:

• Continuously monitor the package for new security updates and patches.
• Regularly review the dependency as part of your security auditing process.

Examples

• Example 1: aipage-editor
  • File: aipage-editor
  • Description: The aipage-editor package was flagged by AI as potentially containing malicious code. Further investigation is required to confirm the threat.

Detection Method

Socket's AI uses static code analysis to evaluate various aspects of the code structure and behavior. Key factors include:

• Unusual code patterns that may indicate security issues.
• Suspicious use of functions or libraries known to be problematic.
• Behavior analysis that identifies potential vulnerabilities.

Additional resources

For more detailed information and to view the specific packages affected, visit Socket's AI-Detected Potential Security Risk Alerts.