🤖 AI Analysis

Final verdict: SUSPICIOUS

The package exhibits a moderate level of suspicion due to potential misuse of shell commands and lack of detailed metadata about the maintainer. These factors suggest the need for further investigation.

Shell risk due to usage of git commands
Inadequate maintainer metadata

Per-check LLM notes

Network: No network calls detected, which is normal and not suspicious.
Shell: The use of git commands suggests the package might be involved in some form of version control operations. However, without context on what 'TinyCTA' is supposed to do, these shell executions could potentially indicate unusual behavior if it's not related to its intended functionality.
Metadata: The maintainer has a new or inactive account and lacks a proper author name, 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)

try: compile(code, f"<readme_block_{i}>", "exec") except SyntaxError as e: pyte

⚠ Shell / Subprocess Execution score 10.0

Found 6 shell execution pattern(s)

te remote_dir.mkdir() subprocess.run([GIT, "init", "--bare", str(remote_dir)], check=True) # nos
for predictable behavior subprocess.run([GIT, "symbolic-ref", "HEAD", "refs/heads/master"], cwd=remo
# 2. Clone to local subprocess.run([GIT, "clone", str(remote_dir), str(local_dir)], check=True)
o match test expectations subprocess.run([GIT, "checkout", "-b", "master"], check=True) # nosec B603
it and push initial state subprocess.run([GIT, "config", "user.email", "[email protected]"], check=Tru
check=True) # nosec B603 subprocess.run([GIT, "config", "user.name", "Test User"], check=True) # no

✓ 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

Repository tschm/tinycta 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 TinyCTA

Develop a small, user-friendly application named 'TinyCTADemo' that leverages the capabilities of the Python package 'TinyCTA'. This application will serve as a demonstration tool for event data analysis, particularly focusing on analyzing click-through rates (CTR) and conversion rates from web analytics data. The application should allow users to upload CSV files containing their web traffic data, perform basic analysis using TinyCTA, and visualize the results through interactive charts and graphs. Key functionalities include:

1. **Data Importation**: Allow users to upload CSV files with columns such as 'Date', 'Visits', 'Clicks', 'Conversions'.
2. **Basic Analysis**: Utilize TinyCTA to calculate CTR and Conversion Rate for each date.
3. **Visualization**: Display the calculated metrics in line charts and bar graphs, allowing users to compare different periods.
4. **Export Results**: Provide an option to export the analyzed data and visualizations as PDF reports.
5. **Interactive Dashboard**: Create an intuitive dashboard where users can filter data based on date ranges and view real-time updates in the charts.

To achieve these goals, integrate TinyCTA into your project by installing it via pip, importing necessary modules for handling data and performing calculations, and utilizing its functions to compute CTR and Conversion Rates. Ensure that the application is well-documented and includes instructions for setup and usage.