🤖 AI Analysis

Final verdict: SUSPICIOUS

The package has indications of low maintenance and potentially insufficient metadata quality, which raises concerns about its reliability and security.

Metadata risk score of 4/10
Potential signs of insufficient maintenance

Per-check LLM notes

Metadata: The package shows some signs of low maintenance and potentially insufficient metadata quality, but there's no direct evidence of malicious intent.

🔬 Heuristic Checks

⚠ Outbound Network Calls score 3.0

Found 2 network call pattern(s)

try: req = urllib.request.Request(url, headers={'User-Agent': 'Mozilla/5.0'})
illa/5.0'}) with urllib.request.urlopen(req) as response, open(tmp_zip, 'wb') as out_file:

⚠ Code Obfuscation score 2.0

Found 1 obfuscation pattern(s)

parsed = eval(line, {"__builtins__": None}) if isinst

⚠ Shell / Subprocess Execution score 10.0

Found 6 shell execution pattern(s)

issing) result = subprocess.run([cuda_bin, '-h'], stdout
xecutable and run it subprocess.run(["chmod", "+x", recon_script_path], check=True) if
CASToR...") result = subprocess.run(recon_script_path, env=env, check=True, capture_output=True,
try: subprocess.run(["apt-get", "download", pkg], cwd=tmp_dir, check=True, stder
try: subprocess.run(["apt-get", "download", "szip"], cwd=tmp_dir, check=True, st
try: subprocess.run(["dpkg-deb", "-x", str(deb_file), str(extract_dir)], check=T

✓ Credential Harvesting

No credential harvesting patterns detected

✓ Typosquatting

No typosquatting candidates detected

✓ Registered Email Domain

Email domain looks legitimate: universite-paris-saclay.fr

✓ Suspicious Page Links

All external links appear legitimate

⚠ Git Repository History score 3.0

Repository not found (deleted or private)

Repository not found (deleted or private)

⚠ Maintainer History score 4.0

2 maintainer concern(s) found

Author "Lucas Duclos" appears to have only 1 package on PyPI (new or inactive account)
Package has no PyPI classifiers (low effort / metadata quality)

✓ Known CVE Vulnerabilities

No known vulnerabilities found in OSV database.

💡 AI App Starter Prompt

Use this prompt to build a project with AOT-biomaps

Develop a mini-application that utilizes the 'AOT-biomaps' package to perform real-time reconstruction of acousto-optic tomography (AOT) data for medical imaging applications. This application should allow users to input raw AOT data from various sensors and generate high-resolution images that represent the internal structures of biological tissues. Here are the key steps and features for your application:

1. **Data Input Interface**: Design a user-friendly interface where users can upload or input raw AOT data. Ensure that the application supports multiple file formats commonly used in AOT imaging.
2. **Real-Time Processing**: Implement a feature that processes the uploaded data in real-time using the AOT-biomaps library. The application should leverage the core functionalities of AOT-biomaps for image reconstruction.
3. **Visualization Tool**: Integrate a visualization tool within the application that allows users to view the reconstructed images in real-time. Users should be able to zoom, pan, and adjust color scales to better analyze the images.
4. **Customization Options**: Provide options for users to customize the reconstruction process. Allow adjustments to parameters such as reconstruction algorithms, noise reduction techniques, and resolution settings.
5. **Export Functionality**: Enable users to export the final reconstructed images in standard image formats like PNG or JPEG for further analysis or record-keeping.
6. **Documentation and Help Section**: Include comprehensive documentation and a help section within the application to guide users through each feature and function.

Your task is to create a fully functional mini-app that not only showcases the capabilities of the AOT-biomaps package but also serves as a practical tool for researchers and medical professionals working with AOT technology.