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 }