# Fort Firewall Malware Analysis

> Analyze and document malicious software distribution disguised as legitimate Fort Firewall security software

- Skill: `aradotso-security-skills/fort-firewall-malware-analysis` (Agent Skill)
- Install (CLI): `npx skillmds@latest add aradotso-security-skills/fort-firewall-malware-analysis`
- Raw SKILL.md: https://api.skillmd.com/api/skills/aradotso-security-skills/fort-firewall-malware-analysis/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Security
- Author: aradotso (https://skillmd.com/u/aradotso-security-skills)
- Updated: 2026-09-10
- Page: https://skillmd.com/skills/aradotso-security-skills/fort-firewall-malware-analysis

---


# Fort Firewall Malware Analysis Skill

> Skill by [ara.so](https://ara.so) — Security Skills collection

## ⚠️ CRITICAL WARNING

This repository (`lloyd17x/fort-firewall-security-fix`) is **NOT legitimate software**. It is a malware distribution scheme disguised as a security tool. This skill teaches agents to identify and analyze such threats.

## What This Repository Actually Is

**Red Flags Indicating Malware:**

1. **Fake "Product Key Patch"** - Promotes executable files that "unlock" software, a classic malware vector
2. **GitHub Pages Download** - Legitimate software uses GitHub Releases, not external redirect pages
3. **Antivirus "False Positive" Claims** - Dismisses security warnings as normal
4. **No Source Code** - HTML project with no actual firewall code
5. **Keyword Stuffing** - SEO spam topics like "fort-firewall-key", "fort-firewall-patch"
6. **Suspicious Metrics** - 182 stars in 19 days (9 stars/day) suggests bot inflation
7. **Future Date** - Created "2026-06-17" (impossible timestamp indicates manipulation)
8. **MIT License Abuse** - Claims permissive license for proprietary malware
9. **"Community Edition" Framing** - Legitimizes piracy/malware distribution

## Real Fort Firewall Project

The legitimate Fort Firewall is:
- **Repository**: `tnodir/fort` (not this repository)
- **License**: GPL-3.0 (open source, no "product keys")
- **Language**: C++/Qt (not HTML)
- **Distribution**: GitHub Releases with source code

## Malware Indicators Analysis

### Pattern Recognition

```python
import re
from dataclasses import dataclass
from typing import List

@dataclass
class MalwareIndicator:
    pattern: str
    severity: str
    description: str

MALWARE_PATTERNS = [
    MalwareIndicator(
        pattern=r"(crack|patch|keygen|product[_\s]?key|license[_\s]?key|activation)",
        severity="CRITICAL",
        description="Software cracking terminology"
    ),
    MalwareIndicator(
        pattern=r"disable.*antivirus|false[_\s]?positive|temporarily disable",
        severity="CRITICAL",
        description="Instructs users to disable security software"
    ),
    MalwareIndicator(
        pattern=r"\.github\.io/[^/]+/.*\.(exe|msi|zip)",
        severity="HIGH",
        description="Executable hosted on GitHub Pages"
    ),
    MalwareIndicator(
        pattern=r"(full[_\s]?version|premium|pro[_\s]?edition).*free",
        severity="MEDIUM",
        description="Promises premium software for free"
    ),
]

def analyze_repository_readme(readme_content: str) -> List[dict]:
    """Scan README for malware distribution indicators."""
    findings = []
    
    for indicator in MALWARE_PATTERNS:
        matches = re.finditer(indicator.pattern, readme_content, re.IGNORECASE)
        for match in matches:
            findings.append({
                "severity": indicator.severity,
                "pattern": indicator.description,
                "matched_text": match.group(0),
                "position": match.start()
            })
    
    return findings

# Usage
with open("README.md", "r", encoding="utf-8") as f:
    readme = f.read()

findings = analyze_repository_readme(readme)
for finding in findings:
    print(f"[{finding['severity']}] {finding['pattern']}: '{finding['matched_text']}'")
```

### GitHub Repository Metadata Analysis

```javascript
// Node.js script to analyze suspicious repositories
const axios = require('axios');

async function analyzeRepository(owner, repo) {
  const apiUrl = `https://api.github.com/repos/${owner}/${repo}`;
  const token = process.env.GITHUB_TOKEN; // Use personal access token
  
  try {
    const response = await axios.get(apiUrl, {
      headers: { 'Authorization': `token ${token}` }
    });
    
    const data = response.data;
    const redFlags = [];
    
    // Check for suspicious patterns
    if (data.stargazers_count > 100 && data.forks_count < 5) {
      redFlags.push({
        flag: "STAR_INFLATION",
        detail: `${data.stargazers_count} stars but only ${data.forks_count} forks`
      });
    }
    
    if (data.language === "HTML" && data.name.includes("firewall")) {
      redFlags.push({
        flag: "LANGUAGE_MISMATCH",
        detail: "Firewall software should be compiled (C/C++/Rust), not HTML"
      });
    }
    
    if (!data.license) {
      redFlags.push({
        flag: "NO_LICENSE",
        detail: "Missing license despite claiming MIT in README"
      });
    }
    
    if (data.open_issues_count === 0 && data.stargazers_count > 50) {
      redFlags.push({
        flag: "NO_ENGAGEMENT",
        detail: "High stars but zero issues suggests fake engagement"
      });
    }
    
    // Check topics for malware keywords
    const suspiciousTopics = data.topics.filter(t => 
      t.includes("key") || t.includes("patch") || t.includes("crack")
    );
    
    if (suspiciousTopics.length > 0) {
      redFlags.push({
        flag: "MALWARE_TOPICS",
        detail: `Suspicious topics: ${suspiciousTopics.join(", ")}`
      });
    }
    
    return {
      repository: `${owner}/${repo}`,
      created: data.created_at,
      language: data.language,
      stars: data.stargazers_count,
      forks: data.forks_count,
      issues: data.open_issues_count,
      redFlags: redFlags,
      riskScore: calculateRiskScore(redFlags)
    };
    
  } catch (error) {
    throw new Error(`Failed to analyze repository: ${error.message}`);
  }
}

function calculateRiskScore(redFlags) {
  const weights = {
    "STAR_INFLATION": 30,
    "LANGUAGE_MISMATCH": 25,
    "NO_LICENSE": 15,
    "NO_ENGAGEMENT": 20,
    "MALWARE_TOPICS": 40
  };
  
  return redFlags.reduce((score, flag) => 
    score + (weights[flag.flag] || 10), 0
  );
}

// Example usage
analyzeRepository("lloyd17x", "fort-firewall-security-fix")
  .then(analysis => {
    console.log(JSON.stringify(analysis, null, 2));
    
    if (analysis.riskScore > 50) {
      console.log("\n⚠️  HIGH RISK: This repository exhibits multiple malware indicators");
    }
  })
  .catch(console.error);
```

## Download Link Analysis

```python
import requests
from urllib.parse import urlparse
import hashlib

def analyze_download_link(url: str) -> dict:
    """
    Analyze a download link for malware distribution patterns.
    DO NOT actually download or execute files.
    """
    parsed = urlparse(url)
    
    risk_factors = []
    
    # GitHub Pages used for malware hosting
    if ".github.io" in parsed.netloc:
        risk_factors.append({
            "factor": "GITHUB_PAGES_HOSTING",
            "severity": "HIGH",
            "reason": "Executable files should be in GitHub Releases, not Pages"
        })
    
    # Direct executable download
    if parsed.path.endswith((".exe", ".msi", ".bat", ".ps1", ".scr")):
        risk_factors.append({
            "factor": "DIRECT_EXECUTABLE",
            "severity": "CRITICAL",
            "reason": "Direct executable download without source code"
        })
    
    # Redirect through external page
    if not parsed.path.endswith((".exe", ".zip")) and "download" in url.lower():
        risk_factors.append({
            "factor": "REDIRECT_PAGE",
            "severity": "HIGH",
            "reason": "Download redirects through intermediary page"
        })
    
    return {
        "url": url,
        "host": parsed.netloc,
        "risk_factors": risk_factors,
        "recommendation": "DO NOT DOWNLOAD" if risk_factors else "Further investigation needed"
    }

# Example
download_url = "https://lloyd17x.github.io/fort-firewall-security-fix/"
analysis = analyze_download_link(download_url)

print(f"Analysis for: {analysis['url']}")
print(f"Recommendation: {analysis['recommendation']}")
for factor in analysis['risk_factors']:
    print(f"  [{factor['severity']}] {factor['factor']}: {factor['reason']}")
```

## Reporting Malware Repositories

### To GitHub

```bash
# Report via GitHub's abuse form
# URL: https://github.com/contact/report-abuse

# Provide these details:
# 1. Repository URL: https://github.com/lloyd17x/fort-firewall-security-fix
# 2. Violation type: Malware distribution
# 3. Evidence: 
#    - Promotes executable "patches" that bypass antivirus
#    - No source code despite claiming to be open source
#    - Uses GitHub Pages to host malware downloads
#    - Impersonates legitimate Fort Firewall project
```

### Automated Reporting Script

```python
import os
import requests

def report_malicious_repository(owner: str, repo: str, evidence: list):
    """
    Create a report document for malicious repository.
    Note: GitHub does not have a public API for abuse reports.
    This generates a report file for manual submission.
    """
    
    report = f"""
# Malware Distribution Report

## Repository Information
- **URL**: https://github.com/{owner}/{repo}
- **Report Date**: {datetime.now().isoformat()}
- **Reporter**: Security Researcher

## Violation Type
Malware Distribution / Software Piracy / Impersonation

## Evidence

"""
    
    for i, item in enumerate(evidence, 1):
        report += f"{i}. {item}\n"
    
    report += """

## Recommended Action
Immediate takedown and account suspension

## Additional Context
This repository impersonates the legitimate Fort Firewall project (tnodir/fort)
and distributes malware disguised as a "product key patch."
"""
    
    # Save report to file
    filename = f"malware_report_{owner}_{repo}_{datetime.now().strftime('%Y%m%d')}.txt"
    with open(filename, "w") as f:
        f.write(report)
    
    print(f"Report generated: {filename}")
    print("Submit manually at: https://github.com/contact/report-abuse")
    
    return filename

# Example
from datetime import datetime

evidence = [
    "README instructs users to disable antivirus ('false positive' claim)",
    "No source code despite being marked as HTML project",
    "Download link redirects to GitHub Pages hosting executable",
    "Repository topics include 'fort-firewall-key', 'fort-firewall-patch' (malware keywords)",
    "Claims MIT license but distributes proprietary malware",
    "Zero forks despite 182 stars (bot-inflated metrics)",
    "Created date shows '2026' (manipulated metadata)"
]

report_malicious_repository("lloyd17x", "fort-firewall-security-fix", evidence)
```

## Safe Security Software Verification

### Checklist for Legitimate Projects

```yaml
verification_checklist:
  source_code:
    - Present: true
    - Matches_language: true
    - Build_instructions: true
    
  distribution:
    - GitHub_Releases: true
    - Code_signing: true
    - Checksums_provided: true
    
  documentation:
    - Installation_from_source: true
    - No_antivirus_disable_instructions: false
    - No_piracy_terminology: false
    
  repository_health:
    - Active_issues: true
    - Organic_stars_to_forks_ratio: true  # Usually 5:1 to 20:1
    - Recent_commits: true
    
  licensing:
    - Clear_license: true
    - License_file_present: true
    - No_product_keys_required: true
```

### Python Verification Tool

```python
import requests
from typing import Dict, Any

def verify_security_software(owner: str, repo: str) -> Dict[str, Any]:
    """
    Verify if a security software repository is legitimate.
    """
    api_url = f"https://api.github.com/repos/{owner}/{repo}"
    token = os.getenv("GITHUB_TOKEN")
    
    headers = {"Authorization": f"token {token}"} if token else {}
    response = requests.get(api_url, headers=headers)
    
    if response.status_code != 200:
        return {"error": "Repository not found or inaccessible"}
    
    data = response.json()
    
    checks = {
        "has_source_code": data.get("language") not in ["HTML", None],
        "has_license": data.get("license") is not None,
        "has_issues": data.get("open_issues_count", 0) > 0,
        "stars_to_forks_ratio": (
            data.get("stargazers_count", 0) / max(data.get("forks_count", 1), 1)
        ),
        "has_releases": None,  # Requires additional API call
    }
    
    # Check releases
    releases_url = f"{api_url}/releases"
    releases_response = requests.get(releases_url, headers=headers)
    if releases_response.status_code == 200:
        releases = releases_response.json()
        checks["has_releases"] = len(releases) > 0
    
    # Calculate legitimacy score
    score = 0
    if checks["has_source_code"]: score += 30
    if checks["has_license"]: score += 20
    if checks["has_issues"]: score += 15
    if 3 < checks["stars_to_forks_ratio"] < 30: score += 20
    if checks["has_releases"]: score += 15
    
    return {
        "repository": f"{owner}/{repo}",
        "checks": checks,
        "legitimacy_score": score,
        "verdict": "SAFE" if score >= 70 else "SUSPICIOUS" if score >= 40 else "UNSAFE"
    }

# Compare legitimate vs malicious
legitimate = verify_security_software("tnodir", "fort")
malicious = verify_security_software("lloyd17x", "fort-firewall-security-fix")

print("Legitimate Fort Firewall:")
print(f"  Score: {legitimate['legitimacy_score']}/100")
print(f"  Verdict: {legitimate['verdict']}")

print("\nMalicious Repository:")
print(f"  Score: {malicious['legitimacy_score']}/100")
print(f"  Verdict: {malicious['verdict']}")
```

## Common Patterns in Malware Distribution

1. **"Enhanced Edition" / "Pro Version"** - Fake premium versions of free software
2. **"Community Patch"** - Implies grassroots legitimacy for malware
3. **"Product Key Generator"** - Always malware, no exceptions
4. **"Disable Antivirus Instructions"** - Red flag for malicious payload
5. **GitHub Pages for Executables** - Abuse of static hosting for malware
6. **Future Dates in Metadata** - Manipulation to appear current
7. **SEO Keyword Stuffing** - Topics/tags designed to trap searchers
8. **Zero Forks, High Stars** - Bot-inflated popularity metrics

## Troubleshooting / FAQ

**Q: How do I identify fake security software?**
A: Check for source code, build instructions, and use of GitHub Releases (not Pages) for distribution.

**Q: What should I do if I downloaded this file?**
A: 
1. Do NOT execute the file
2. Delete the downloaded file
3. Run a full antivirus scan with updated definitions
4. Check for unauthorized changes (Task Scheduler, startup programs)

**Q: Is there a legitimate Fort Firewall?**
A: Yes, the real project is at `github.com/tnodir/fort` (GPL-3.0 licensed, C++ source code).

**Q: How can I report this to GitHub?**
A: Visit https://github.com/contact/report-abuse and select "Malware distribution"

## Resources

- **VirusTotal**: `https://www.virustotal.com` - Scan suspicious files/URLs
- **Legitimate Fort Firewall**: `https://github.com/tnodir/fort`
- **GitHub Security**: `https://docs.github.com/en/code-security`
- **MITRE ATT&CK - Malware**: `https://attack.mitre.org/techniques/T1204/`

---

**This skill teaches agents to identify malware distribution schemes, not to use the malicious software.**