🤖 AI Analysis

Final verdict: SUSPICIOUS

The package exhibits significant risks related to obfuscation and credential retrieval, suggesting potential vulnerabilities or malicious intent. However, there is insufficient evidence to conclusively label it as malicious.

High obfuscation risk due to improper use of pickle.loads
High credential risk with GITHUB_TOKEN retrieval

Per-check LLM notes

Network: Network calls to external URLs suggest the package may be fetching data from remote servers, which could indicate legitimate functionality but also potential data exfiltration or C2 activity.
Shell: No shell execution patterns detected, indicating low risk for direct system command execution.
Obfuscation: The use of pickle.loads without proper exception handling and in an obfuscated manner suggests potential for code injection attacks.
Credentials: The code attempts to retrieve a GITHUB_TOKEN from environment variables, which could indicate unauthorized access to sensitive information.
Metadata: The author's information is lacking and the maintainer seems new or inactive, raising some concerns but not definitive evidence of malice.

🔬 Heuristic Checks

⚠ Outbound Network Calls score 6.0

Found 4 network call pattern(s)

" try: response = requests.get(file_url) response.raise_for_status() return
he token first response = requests.get(base_url) data = response.json() if 'message' in da
{token}'} response = requests.get(base_url, headers=headers) data = response.json()
files_response = requests.get(files_url, headers=headers if 'Authorization' in locals() el

⚠ Code Obfuscation score 4.0

Found 2 obfuscation pattern(s)

try: state = pickle.loads(raw) except Exception: pass
is None: state = pickle.loads(raw) meta = {} if isinstance(state, dict):

✓ Shell / Subprocess Execution

No shell execution patterns detected

⚠ Credential Harvesting score 2.5

Found 1 credential access pattern(s)

ronment token token = os.getenv('GITHUB_TOKEN') if not token: print("API rate limit e

✓ Typosquatting

No typosquatting candidates detected

✓ Registered Email Domain

Email domain looks legitimate: amsterdamumc.nl>

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

Repository tgac-vumc/Statescope appears legitimate

⚠ 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 Statescope

Create a mini-application using the Statescope package in Python that allows researchers to analyze bulk RNA-seq and DNA-seq data to uncover cell states. Your application should include the following steps and features:

1. **Data Import**: Provide a user-friendly interface to upload bulk RNA-seq and DNA-seq datasets. Ensure that the application supports common file formats such as .txt, .csv, and .tsv.
2. **Preprocessing**: Implement basic preprocessing steps like normalization, filtering out low-expressed genes, and handling missing values. Allow users to choose specific parameters for these operations.
3. **Cell State Analysis**: Utilize Statescope's core functionalities to perform cell state analysis on the preprocessed data. This includes identifying distinct cell states based on gene expression patterns and DNA modifications.
4. **Visualization**: Develop interactive visualizations to display the identified cell states. Include options to view data in both 2D and 3D scatter plots, heatmaps, and other relevant graphical representations.
5. **Report Generation**: Enable users to generate comprehensive reports summarizing the analysis results. The report should include key findings, statistical analyses, and visual representations of the data.
6. **User Interface**: Design a clean and intuitive web-based UI using Flask or Django, allowing easy navigation through the different stages of analysis.
7. **Documentation**: Provide detailed documentation on how to use the application, including setup instructions and examples of input files.

The application should leverage Statescope's capabilities to offer a robust tool for biologists and bioinformaticians to explore complex genomic data effectively.