PGAP2

v2.2 safe
4.0
Medium Risk

PGAP2: a comprehensive pan-genome analysis pipeline for prokaryotic genomes

🤖 AI Analysis

Final verdict: SAFE

The package PGAP2 is deemed safe with a low risk score due to its lack of network calls, obfuscation, and credential risks. However, it has a moderate shell risk due to the use of 'subprocess.run' with 'shell=True'.

  • Moderate shell risk due to 'subprocess.run' with 'shell=True'
  • Low activity and poor metadata quality
Per-check LLM notes
  • Network: No network calls detected, which is normal and does not indicate any risk.
  • Shell: Use of 'subprocess.run' with 'shell=True' can introduce risks if the commands executed are not controlled and sanitized, potentially leading to command injection vulnerabilities.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The package shows low activity and poor metadata quality, but there are no clear signs of malicious intent.

🔬 Heuristic Checks

Outbound Network Calls

No suspicious network call patterns found

Code Obfuscation

No obfuscation patterns detected

Shell / Subprocess Execution score 8.0

Found 4 shell execution pattern(s)

  • else: process = subprocess.run( cmd, shell=True, capture_output=True, text=
  • _paras) process = subprocess.run( cline, shell=True, capture_output=True, tex
  • f.write(cmd) subprocess.run(cmd, shell=True, check=True) _tqdm.update(1)
  • f.write(cmd) subprocess.run(cmd, shell=True, check=True) # build root use midpoi
Credential Harvesting

No credential harvesting patterns detected

Typosquatting

No typosquatting candidates detected

Registered Email Domain

Email domain looks legitimate: big.ac.cn>

Suspicious Page Links score 2.0

Found 1 suspicious link(s) on the package page

  • Non-HTTPS external link: http://www.iqtree.org/
Git Repository History

Repository bucongfan/PGAP2 appears legitimate

Maintainer History score 6.0

3 maintainer concern(s) found

  • Author name is missing or very short
  • Author "" 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 PGAP2
Your task is to develop a user-friendly web application that leverages the PGAP2 package to perform comprehensive pan-genome analysis on prokaryotic genomes. This application will allow researchers to upload multiple genome sequences and analyze them using PGAP2's powerful tools. The application should have the following core functionalities:

1. **User Interface**: Design an intuitive interface where users can upload their FASTA files containing the genomic sequences of various prokaryotes.
2. **Data Processing**: Utilize PGAP2 to process these uploaded sequences. The application should automatically handle the alignment, clustering, and annotation processes required for pan-genome analysis.
3. **Results Visualization**: Provide visual representations of the analysis results. This includes but is not limited to bar charts showing the distribution of core genes across different strains, pie charts depicting the proportion of unique and accessory genes, and network diagrams illustrating gene clusters.
4. **Downloadable Reports**: Users should be able to download comprehensive reports detailing the findings from the pan-genome analysis. These reports should include tables, graphs, and textual summaries.
5. **Interactive Exploration**: Allow users to interactively explore the data by filtering results based on specific criteria such as gene functions, presence in certain strains, etc.
6. **Integration with External Databases**: Integrate your application with external databases like NCBI to fetch additional information about the genes identified during the analysis.

To achieve these goals, you'll need to familiarize yourself with PGAP2's API and command-line interface. Your application should demonstrate proficiency in handling large datasets, efficient computation, and effective visualization techniques. Additionally, ensure that the application is scalable and can accommodate future updates or modifications to PGAP2.