acdentnet

v0.1.0 suspicious
6.0
Medium Risk

Tooth discrepancy analysis from maxilla and mandible dental images using HeatmapNet (ResNet50)

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package exhibits some unusual characteristics, particularly its recently created repository and rapid commit history, which raise concerns about potential malicious intent despite the lack of direct indicators like network calls or credential harvesting.

  • recently created repository
  • rapid commit history
Per-check LLM notes
  • Network: No network calls detected, which is normal unless the package requires external services.
  • Shell: No shell execution patterns detected, indicating no immediate signs of malicious activity.
  • Obfuscation: The observed obfuscation pattern is not typical of malicious activity but could indicate an attempt to make code less readable.
  • Credentials: No credentials or secrets harvesting patterns detected.
  • Metadata: The repository's recent creation and rapid commit history suggest potential malicious intent.

🔬 Heuristic Checks

✓ Outbound Network Calls

No suspicious network call patterns found

⚠ Code Obfuscation score 2.0

Found 1 obfuscation pattern(s)

  • ._device) self._model.eval() self.model_path = model_path # --------------
✓ Shell / Subprocess Execution

No shell execution patterns detected

✓ Credential Harvesting

No credential harvesting patterns detected

✓ Typosquatting

No typosquatting candidates detected

✓ Registered Email Domain

Email domain looks legitimate: gmail.com>

✓ Suspicious Page Links

All external links appear legitimate

⚠ Git Repository History score 7.5

Git history flags: Repository created very recently: 3 day(s) ago (2026-06-02T20:11:55Z)

  • Repository created very recently: 3 day(s) ago (2026-06-02T20:11:55Z)
  • Repository has zero stars and zero forks
  • All 3 commits happened within 24 hours
⚠ Maintainer History score 6.0

3 maintainer concern(s) found

  • Only one version has ever been released — brand new package
  • 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 acdentnet 
Create a comprehensive dental analysis tool using the 'acdentnet' Python package. This tool will allow dentists and orthodontists to analyze discrepancies between maxillary and mandibular teeth using advanced heatmap generation techniques based on ResNet50 neural networks. The application should have the following functionalities:

1. **User Interface**: Develop a user-friendly GUI using PyQt or Tkinter where users can upload maxillary and mandibular dental images.
2. **Image Preprocessing**: Implement image preprocessing steps such as resizing, normalization, and possibly augmentation to ensure optimal input for the model.
3. **Discrepancy Analysis**: Utilize the 'acdentnet' package to generate heatmaps that highlight discrepancies between the two sets of teeth. These heatmaps should visually represent areas where alignment issues exist.
4. **Report Generation**: Automatically generate a detailed report including the heatmap images, key findings, and suggestions for further actions or treatments based on the analysis.
5. **Saving and Sharing**: Allow users to save the generated reports and share them via email or cloud storage services like Google Drive or Dropbox.
6. **Educational Mode**: Include an educational mode where users can learn about common dental discrepancies and their implications, along with tips on maintaining oral health.

The 'acdentnet' package will be crucial in performing the core functionality of discrepancy analysis through its heatmap generation capabilities. Users will benefit from a more accurate and efficient way to assess dental conditions compared to traditional manual methods.