🤖 AI Analysis

Final verdict: SUSPICIOUS

The package shows moderate risk due to potential shell execution and incomplete maintainer details.

Shell execution patterns indicate possible interaction with external systems
Incomplete maintainer details raise concerns about the package's origin

Per-check LLM notes

Network: No network calls detected, which is normal for many packages.
Shell: Shell execution patterns suggest the package might interact with external systems or devices like ADB, which could be legitimate but requires scrutiny to ensure it's not being used for malicious purposes.
Obfuscation: No obfuscation patterns detected, indicating low risk.
Credentials: No credential harvesting patterns detected, indicating low risk.
Metadata: The package has no associated GitHub repository and the maintainer's details are incomplete, raising suspicion.

🔬 Heuristic Checks

✓ Outbound Network Calls

No suspicious network call patterns found

✓ Code Obfuscation

No obfuscation patterns detected

⚠ Shell / Subprocess Execution score 10.0

Found 6 shell execution pattern(s)

n real-time process = subprocess.Popen(command, stdout=subprocess.PIPE, stderr=subprocess.PIPE, tex
t, str]: try: p = subprocess.run(args, capture_output=True, text=True, timeout=timeout)
exist_ok=True) proc = subprocess.run(["adb", "pull", remote, local], capture_output=True, text=Tr
ss try: result = subprocess.run( [java_path, "-version"], capture_output=True, t
)) try: result = subprocess.run( cmd, capture_output=True,
[BSH] + list(args) return subprocess.run(cmd, capture_output=True, text=True, **kwargs) requires_gh

✓ Credential Harvesting

No credential harvesting patterns detected

✓ Typosquatting

No typosquatting candidates detected

✓ Registered Email Domain

No author email provided

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

No GitHub repository linked

No GitHub repository link found

⚠ Maintainer History score 4.0

2 maintainer concern(s) found

Author name is missing or very short
Author "" appears to have only 1 package on PyPI (new or inactive account)

✓ Known CVE Vulnerabilities

No known vulnerabilities found in OSV database.

💡 AI App Starter Prompt

Use this prompt to build a project with BoringSecretHunter

Create a security-focused mini-application named 'SecretSniffer' using Python, which leverages the 'BoringSecretHunter' package to detect and analyze sensitive data exposure within BoringSSL/RustLS binaries. The application should be designed to automate the process of identifying potential security vulnerabilities related to secret handling in these binaries. Here’s a detailed breakdown of what your application should accomplish:

1. **Setup Environment**: Ensure that all necessary dependencies including 'BoringSecretHunter' are installed. Provide instructions on setting up the environment and installing required packages.
2. **Binary Analysis**: Develop a feature where users can input the path to a BoringSSL/RustLS binary file. The application will then use 'BoringSecretHunter' to scan the binary for any instances of ssl_log_secret() function calls, which are indicative of insecure secret logging practices.
3. **Frida Hook Integration**: Integrate Frida into the application so that it can dynamically hook into the identified ssl_log_secret() functions during runtime. This allows for real-time monitoring and interception of secret data being logged.
4. **Report Generation**: After scanning and hooking, generate a comprehensive report detailing findings such as the number of occurrences, their locations within the codebase, and recommendations for securing these instances.
5. **User Interface**: Although not mandatory, consider developing a simple CLI or GUI interface for ease of use. This would allow non-technical users to run the tool without needing to understand the underlying command-line parameters.
6. **Security Best Practices**: Include a section in your application that educates users about common pitfalls in handling secrets and best practices for secure coding.
7. **Testing and Validation**: Provide a set of test cases (binary files known to have ssl_log_secret() calls) along with expected outcomes to validate the functionality of your application.
8. **Documentation**: Write clear documentation explaining how to use each feature of SecretSniffer, how it works under the hood, and any limitations or assumptions made during development.

This project aims to highlight the importance of secure coding practices and demonstrate practical ways to identify and mitigate risks associated with secret handling in cryptographic libraries.