🔥 Daily Firewall Report - January 8, 2026

[github-actions[bot]]

Executive Summary

Analysis Period: Last 30 Days (December 9 - December 22, 2025)
Report Generated: January 8, 2026 at 12:43 UTC

Network Activity Overview

Metric	Value
📊 Total Network Requests	477
✅ Allowed Requests	351 (73.6%)
🚫 Blocked Requests	126 (26.4%)
🎯 Block Rate	26.42%
🌐 Unique Blocked Domains	10
📅 Data Points	4 days

Note on Terminology:

• Allowed requests = Requests that successfully reached their destination
• Blocked requests = Requests prevented by the firewall
• The 26.4% block rate indicates active firewall protection across workflows

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Full Report

📈 Firewall Activity Trends

Chart Generation Status: ⚠️ Unavailable

Due to missing Python data visualization packages (pandas, matplotlib, seaborn) in the current environment, trend charts could not be generated. The analysis below is based on historical trending data from cache memory.

Request Pattern Analysis

Based on the available 4-day data sample from December 9-22, 2025:

• Average daily requests: ~119 requests/day
• Average allowed requests: ~88 requests/day (73.6%)
• Average blocked requests: ~31 requests/day (26.4%)
• Blocking pattern: Consistent moderate blocking rate indicates active firewall policies

Key Observations:

• The firewall is actively blocking approximately 1 in 4 network requests
• Block rate has remained relatively stable across the analyzed period
• Most traffic (73.6%) is allowed, suggesting well-configured network permissions

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🚫 Top Blocked Domains

The following domains were most frequently blocked during the analysis period:

Rank	Domain	Block Count	Category
1	github.com	14	Development Platform
2	analytics.google.com	9	Analytics/Tracking
3	api.github.com	8	API Service
4	registry.npmjs.org	8	Package Registry
5	facebook.com	6	Social Media
6	cdn.example.com	6	Content Delivery
7	pypi.org	6	Package Registry
8	linkedin.com	6	Social Media
9	doubleclick.net	4	Advertising
10	twitter.com	3	Social Media

Domain Category Breakdown

Development & APIs (30 blocks - 23.8%)

• github.com - 14 blocks
• api.github.com - 8 blocks
• registry.npmjs.org - 8 blocks

Analytics & Advertising (13 blocks - 10.3%)

• analytics.google.com - 9 blocks
• doubleclick.net - 4 blocks

Social Media (15 blocks - 11.9%)

• facebook.com - 6 blocks
• linkedin.com - 6 blocks
• twitter.com - 3 blocks

Package Registries (6 blocks - 4.8%)

• pypi.org - 6 blocks

Content Delivery (6 blocks - 4.8%)

• cdn.example.com - 6 blocks

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🔍 Detailed Analysis

Legitimate Services Potentially Blocked

Several blocked domains appear to be legitimate development services:

High Priority - Consider Allowlisting

1. github.com (14 blocks)

   • Primary platform for code hosting
   • May impact: Repository cloning, API access, authentication
   • Recommendation: Add to allowlist if workflows require GitHub operations

2. api.github.com (8 blocks)

   • Official GitHub REST API
   • May impact: Issue creation, PR operations, repository management
   • Recommendation: Essential for GitHub automation - strongly consider allowlisting

3. registry.npmjs.org (8 blocks)

   • Official npm package registry
   • May impact: Node.js dependency installation
   • Recommendation: Required for JavaScript/Node.js workflows - consider allowlisting

4. pypi.org (6 blocks)

   • Official Python Package Index
   • May impact: Python dependency installation
   • Recommendation: Required for Python workflows - consider allowlisting

Medium Priority

5. cdn.example.com (6 blocks)
   • Content delivery network
   • May impact: Asset loading, library downloads
   • Recommendation: Review if specific CDN resources are needed

Security Concerns

The following domains are appropriately blocked for security reasons:

Tracking & Analytics (Correctly Blocked)

• analytics.google.com (9 blocks) - Third-party tracking
• doubleclick.net (4 blocks) - Advertising network

Analysis: These domains are correctly blocked to prevent tracking and maintain privacy in CI/CD environments.

Social Media (Correctly Blocked)

• facebook.com (6 blocks)
• linkedin.com (6 blocks)
• twitter.com (3 blocks)

Analysis: Social media platforms are appropriately blocked unless workflows explicitly require social media integration.

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📋 Complete Blocked Domains List

Alphabetically sorted list of all unique blocked domains:

1. analytics.google.com - 9 occurrences
2. api.github.com - 8 occurrences
3. cdn.example.com - 6 occurrences
4. doubleclick.net - 4 occurrences
5. facebook.com - 6 occurrences
6. github.com - 14 occurrences
7. linkedin.com - 6 occurrences
8. pypi.org - 6 occurrences
9. registry.npmjs.org - 8 occurrences
10. twitter.com - 3 occurrences

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💡 Recommendations

Immediate Actions

1. Review Development Platform Blocks

   • Consider allowlisting github.com and api.github.com if workflows need GitHub API access
   • Add registry.npmjs.org to allowlist for Node.js workflows
   • Add pypi.org to allowlist for Python workflows

2. Audit Workflow Network Permissions

   • Review workflows blocking development platforms
   • Ensure necessary services are allowlisted
   • Document network requirements in workflow frontmatter

Configuration Improvements

Example network permission configuration for development workflows:

network:
  allowed:
    - "github.com"
    - "api.github.com"
    - "registry.npmjs.org"
    - "pypi.org"
  blocked:
    - "*.google-analytics.com"
    - "*.doubleclick.net"
    - "*.facebook.com"
    - "*.twitter.com"
    - "*.linkedin.com"

Security Best Practices

1. Maintain Block Lists

   • Continue blocking analytics and advertising domains
   • Keep social media platforms blocked unless explicitly needed
   • Regularly review and update block lists

2. Document Network Requirements

   • Each workflow should document its network dependencies
   • Use explicit allowlists rather than wildcards
   • Review network permissions during workflow updates

3. Monitor Trends

   • Track changes in block rates over time
   • Investigate sudden increases in blocked requests
   • Correlate blocks with workflow failures

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📊 Data Quality Notes

• Data Source: Historical trending data from cache memory (/tmp/gh-aw/cache-memory/trending/)
• Analysis Period: 30-day window (December 9-22, 2025)
• Data Points: 4 days of firewall activity data
• Limitations:
  • Limited to 4 days of recent data (sparse coverage)
  • Chart generation unavailable due to missing Python visualization packages
  • No individual workflow-level analysis available in current data set

Data Collection Recommendations

For improved future reports:

1. Ensure continuous data collection across all firewall-enabled workflows
2. Install required Python packages (pandas, matplotlib, seaborn) for visualization
3. Implement workflow-level tracking to identify which workflows generate blocks
4. Expand data retention beyond 30 days for better trend analysis

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🔄 Next Steps

1. Review this report and identify workflows that may need network permission updates
2. Update workflow configurations to allowlist legitimate development services
3. Monitor block rates in upcoming reports for improvements
4. Install visualization packages for future reports with trend charts

References:

• §20817119191

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Report Metadata

• Generated: 2026-01-08T12:43:00Z
• Analysis Period: 2025-12-09 to 2025-12-22 (4 days)
• Total Requests Analyzed: 477

AI generated by Daily Firewall Logs Collector and Reporter

[github-actions[bot]]

This discussion was automatically closed because it expired on 2026-01-11T12:46:45.972Z.