ad-measurement-media-governance-pack

v0.1.1.dev2 suspicious
6.0
Medium Risk

Installable SSOT governance pack for ad and media measurement, video ads, viewability, invalid traffic, podcast measurement, and MRC/IAB quality controls.

🤖 AI Analysis

Final verdict: SUSPICIOUS

The package has low technical risks but raises concerns due to its metadata, including lack of maintainer history and minimal repository engagement.

  • Low network, shell, obfuscation, and credential risks.
  • High metadata risk due to sparse maintainer and repository activity.
Per-check LLM notes
  • Network: No network calls detected, which is normal unless the package requires internet access for its functionality.
  • Shell: No shell execution patterns detected, indicating no immediate risk of command execution.
  • Obfuscation: No obfuscation patterns detected, indicating low risk.
  • Credentials: No credential harvesting patterns detected, indicating low risk.
  • Metadata: The package is suspicious due to its lack of maintainer history, minimal repository engagement, and the author's sparse activity on PyPI.

🔬 Heuristic Checks

✓ Outbound Network Calls

No suspicious network call patterns found

✓ Code Obfuscation

No obfuscation patterns detected

✓ 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: swarmauri.com>

✓ Suspicious Page Links

All external links appear legitimate

⚠ Git Repository History score 2.5

Git history flags: Repository has zero stars and zero forks

  • Repository has zero stars and zero forks
⚠ 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 ad-measurement-media-governance-pack 
Create a mini-application called 'AdMetricsAnalyzer' that leverages the 'ad-measurement-media-governance-pack' Python package to analyze and report on various metrics related to advertising and media performance. This tool will serve as a comprehensive dashboard for advertisers and media companies to ensure compliance with industry standards set by MRC and IAB, while also providing insights into the effectiveness of their campaigns.

**Step 1:** Set up your development environment by installing the 'ad-measurement-media-governance-pack'. This package provides the necessary tools for measuring ad performance across different mediums such as video, podcast, and display ads.

**Step 2:** Design the main functionality of AdMetricsAnalyzer which includes:
- **Data Input:** Allow users to upload or input data from their ad campaigns. This could include details like impressions, clicks, conversions, and more.
- **Measurement & Analysis:** Utilize the 'ad-measurement-media-governance-pack' to calculate key metrics such as viewability rates, click-through rates, conversion rates, and invalid traffic percentages.
- **Compliance Check:** Implement checks against MRC and IAB guidelines using the package's governance tools to ensure all reported metrics meet industry standards.
- **Reporting:** Generate reports that summarize the analysis, highlighting areas where improvements can be made based on the metrics calculated.

**Suggested Features:**
- Interactive dashboards showing real-time updates on campaign performance.
- Customizable alerts for when certain thresholds are met or exceeded (e.g., if invalid traffic exceeds 5%).
- Integration with popular analytics platforms for seamless data import/export.
- Detailed breakdowns of ad types (video, podcast, display) with separate analyses.

**Utilization of 'ad-measurement-media-governance-pack':**
- Use the package's built-in functions for calculating viewability and invalid traffic to provide accurate measurements.
- Leverage the governance tools within the package to ensure that all metrics reported comply with MRC/IAB standards.
- Implement the package's quality control measures to maintain high standards in data collection and reporting.