AI Analysis
Final verdict: SUSPICIOUS
The package exhibits significant risks due to shell execution attempts and obfuscation techniques, suggesting potential malicious intent. However, there's no definitive proof of harmful actions.
- Detected shell execution attempts
- Use of dynamic imports with error handling
Per-check LLM notes
- Network: No network calls detected, which is low risk.
- Shell: Detected shell execution attempts could indicate the package is performing system-level operations, potentially risky depending on the context and legitimacy of the package.
- Obfuscation: The use of dynamic import with error handling suggests an attempt to hide or delay the detection of required modules, which is a common tactic in obfuscation.
- Credentials: Checking for environment variables related to GitHub tokens indicates potential unauthorized access to sensitive information, raising concerns about credential harvesting.
- Metadata: The maintainer has an incomplete profile and appears to be new or inactive, raising some suspicion but not conclusive evidence of malice.
Heuristic Checks
Outbound Network Calls
No suspicious network call patterns found
Code Obfuscation
score 2.0
Found 1 obfuscation pattern(s)
one: try: __import__(module) except ImportError as err: self._handle
Shell / Subprocess Execution
score 10.0
Found 6 shell execution pattern(s)
result = os.system(f"modprobe {module}") if result != 0ontainer result = os.system(" ".join(cmd)) if result == 0:.") try: result = subprocess.run( compile_cmd, check=True, capture_output=True, t.") try: result = subprocess.run( ["./vfio_helper"], check=True, capture_output=Tpip install result = subprocess.run(cmd, capture_output=True, text=True, check=False) itry: result = subprocess.run( [str(script)], capture_output=True,
Credential Harvesting
score 2.5
Found 1 credential access pattern(s)
", } token = os.environ.get("GITHUB_TOKEN") or os.environ.get("GH_TOKEN") if token:
Typosquatting
No typosquatting candidates detected
Registered Email Domain
Email domain looks legitimate: voltcyclone.info>
Suspicious Page Links
All external links appear legitimate
Git Repository History
Repository voltcyclone/PCILeechFWGenerator appears legitimate
Maintainer History
score 4.0
2 maintainer concern(s) found
Author name is missing or very shortAuthor "" 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 PCILeechFWGenerator
Create a Python-based utility called 'PCIeSafeguard' that leverages the PCILeechFWGenerator package to generate spoofed PCIe DMA firmware for security testing purposes. The utility should allow users to input details of a real PCIe device (such as vendor ID, device ID, and class code) and then use this information to create a spoofed firmware image that mimics the behavior of the original device. This can be useful for simulating attack scenarios where an attacker might try to exploit vulnerabilities in the DMA process by using a spoofed firmware. Step 1: Develop a user-friendly interface that prompts the user for the necessary details of the PCIe device they wish to spoof. These details include the vendor ID, device ID, class code, and any other relevant configuration parameters. Step 2: Implement a function within the utility that uses the provided details to call the PCILeechFWGenerator package to generate the spoofed firmware image. Ensure that the output firmware is saved in a specified directory with a descriptive filename that includes the device details. Step 3: Add functionality to validate the generated firmware against known specifications or checksums to ensure its integrity and correctness. This step is crucial for ensuring that the spoofed firmware behaves as expected during security tests. Step 4: Include documentation within the utility that explains how to properly use the tool, including examples of common use cases and potential pitfalls when working with PCIe DMA firmware. Optional Features: - A feature to automatically detect available PCIe devices on the system and pre-fill the input form with their details. - Integration with a virtualization platform like QEMU to test the spoofed firmware in a controlled environment. - An option to encrypt the generated firmware for additional security layers. - Detailed logging capabilities to track the generation process and any errors encountered.