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Detect and warn about repositories offering unauthorized security software patches, cracks, or license bypasses
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基于 SOC 职业分类
| name | k7-total-security-patch-unlock-warning |
| description | Detect and warn about repositories offering unauthorized security software patches, cracks, or license bypasses |
| triggers | ["analyze this security software repository","is this antivirus patch legitimate","check if this K7 security project is safe","evaluate this software unlock tool","what does this security patch repository do","is this a cracked software distribution","help me understand this security toolkit","should I use this antivirus patch"] |
Skill by ara.so — Security Skills collection.
This skill helps AI coding agents identify and warn users about repositories that claim to offer patches, unlocks, cracks, or unauthorized activation tools for commercial security software.
The repository 29Hinojosa/K7-Total-Security-Unlock-Patch-16-0-1195 exhibits multiple red flags common to malware distribution and software piracy schemes:
risk_profile:
malware_delivery: HIGH
# External download likely contains trojans, ransomware, or spyware
credential_theft: HIGH
# May harvest system information, credentials, or API keys
legitimate_software: ZERO
# No evidence of actual K7 Total Security software or legitimate patches
legal_risk: HIGH
# Using or distributing cracks violates DMCA and software licensing laws
# AI agents should flag repositories with these characteristics:
suspicious_patterns = {
"name_patterns": [
r".*-crack-.*",
r".*-patch-.*",
r".*-unlock-.*",
r".*-keygen-.*",
r".*-activat(or|ion)-.*",
r".*-full-.*-free.*"
],
"topic_patterns": [
"license-key",
"activation-code",
"crack",
"patch",
"keygen",
"full-version"
],
"content_red_flags": [
"Download button links to external site",
"No actual source code in repository",
"Promises enterprise features for free",
"Excessive use of badges and marketing language",
"Instructions to disable antivirus",
"Requests administrative privileges"
],
"metadata_issues": {
"no_license": True, # Legitimate projects have licenses
"recent_creation": True, # Created 2026-06-17
"suspicious_stars": True, # 182 stars in 18 days = artificial inflation
"no_issues": True, # No legitimate user interaction
"no_forks": True # No developer interest
}
}
// Agent response template:
const respondToSuspiciousRepo = (repoUrl) => {
return {
warning: "🚨 SECURITY WARNING: This repository shows multiple indicators of malware distribution.",
risks: [
"May contain trojans, ransomware, or spyware",
"Likely harvests credentials and system information",
"Using cracks/patches violates software licensing laws",
"No legitimate security software is distributed this way"
],
recommendations: [
"DO NOT download or run any files from this repository",
"DO NOT visit external download links",
"Obtain security software only from official vendor websites",
"Report repository to GitHub for DMCA/malware distribution"
],
legitimate_alternative: "https://www.k7computing.com/",
reporting: "Report to GitHub: https://github.com/contact/report-abuse"
};
};
# The ONLY legitimate way to obtain K7 Total Security:
# 1. Visit official website
open https://www.k7computing.com/
# 2. Purchase legitimate license
# (Free trials available through official channels)
# 3. Download from official source
# Official downloads are digitally signed and verified
# 4. Verify digital signature (Windows)
Get-AuthenticodeSignature "K7TSSetup.exe" | Select-Object -Property Status, SignerCertificate
# Expected output: Status = Valid, Signer = K7 Computing Private Limited
import re
from typing import Dict, List
class SuspiciousRepoDetector:
"""Detect potentially malicious software distribution repos."""
def __init__(self):
self.crack_keywords = [
'crack', 'patch', 'keygen', 'activator',
'unlock', 'serial', 'license-key', 'full-version'
]
def analyze_repository(self, repo_data: Dict) -> Dict:
"""
Analyze repository metadata for suspicious patterns.
Args:
repo_data: Dict containing name, description, topics, readme
Returns:
Analysis report with risk score and flags
"""
risk_score = 0
flags = []
# Check repository name
name_lower = repo_data.get('name', '').lower()
for keyword in self.crack_keywords:
if keyword in name_lower:
risk_score += 25
flags.append(f"Suspicious keyword in name: {keyword}")
# Check topics/tags
topics = repo_data.get('topics', [])
suspicious_topics = [t for t in topics if any(k in t for k in self.crack_keywords)]
if suspicious_topics:
risk_score += len(suspicious_topics) * 10
flags.append(f"Suspicious topics: {', '.join(suspicious_topics)}")
# Check for no license
if not repo_data.get('license'):
risk_score += 15
flags.append("No license specified (red flag for cracks)")
# Check for external download links in README
readme = repo_data.get('readme', '')
if re.search(r'!\[Download\].*github\.io', readme):
risk_score += 30
flags.append("External download link detected")
# Check for suspicious growth patterns
stars = repo_data.get('stars', 0)
age_days = self._calculate_age_days(repo_data.get('created_at'))
if age_days > 0 and (stars / age_days) > 5:
risk_score += 20
flags.append(f"Suspicious star growth: {stars} stars in {age_days} days")
# Check for lack of actual code
language = repo_data.get('language', '')
if language == 'HTML' and 'software' in name_lower:
risk_score += 20
flags.append("HTML-only repo claiming to distribute software")
return {
'risk_score': min(risk_score, 100),
'risk_level': self._get_risk_level(risk_score),
'flags': flags,
'recommendation': self._get_recommendation(risk_score)
}
def _calculate_age_days(self, created_at: str) -> int:
"""Calculate repository age in days."""
from datetime import datetime
created = datetime.fromisoformat(created_at.replace('Z', '+00:00'))
return (datetime.now(created.tzinfo) - created).days
def _get_risk_level(self, score: int) -> str:
"""Convert risk score to level."""
if score >= 70:
return "CRITICAL"
elif score >= 50:
return "HIGH"
elif score >= 30:
return "MEDIUM"
return "LOW"
def _get_recommendation(self, score: int) -> str:
"""Generate recommendation based on risk score."""
if score >= 70:
return "DO NOT USE. Report to GitHub. Likely malware distribution."
elif score >= 50:
return "Avoid. Seek software from official sources only."
elif score >= 30:
return "Suspicious. Verify legitimacy before proceeding."
return "Review manually for context."
# Usage example
if __name__ == "__main__":
detector = SuspiciousRepoDetector()
# Example repository data (K7-Total-Security-Unlock-Patch)
suspicious_repo = {
'name': 'K7-Total-Security-Unlock-Patch-16-0-1195',
'description': 'K7 Total Security 16.0.1195 Full ToolKit 2026 Edition',
'topics': [
'k7-patch', 'k7-key', 'k7-total-security-key',
'k7-total-security-patch', 'k7-trial'
],
'license': None,
'stars': 182,
'language': 'HTML',
'created_at': '2026-06-17T21:05:03Z',
'readme': '['
}
result = detector.analyze_repository(suspicious_repo)
print(f"Risk Level: {result['risk_level']}")
print(f"Risk Score: {result['risk_score']}/100")
print(f"\nFlags:")
for flag in result['flags']:
print(f" - {flag}")
print(f"\nRecommendation: {result['recommendation']}")
Risk Level: CRITICAL
Risk Score: 100/100
Flags:
- Suspicious keyword in name: patch
- Suspicious keyword in name: unlock
- Suspicious topics: k7-patch, k7-key, k7-total-security-key, k7-total-security-patch, k7-trial
- No license specified (red flag for cracks)
- External download link detected
- Suspicious star growth: 182 stars in 18 days
- HTML-only repo claiming to distribute software
Recommendation: DO NOT USE. Report to GitHub. Likely malware distribution.
❌ **STOP: This is NOT legitimate software.**
What you've found is a malware distribution scheme disguised as a software patch.
### Why this is dangerous:
1. **Malware Risk**: Files from this source will likely infect your system
2. **No Real Software**: There is no actual K7 patch—only malicious executables
3. **Legal Risk**: Software piracy violates copyright law
4. **Security Paradox**: Using cracked security software defeats its purpose
### What you should do instead:
✅ **Legitimate Options:**
```bash
# Get K7 Total Security legally:
# Option 1: Official trial (30 days free)
# Visit: https://www.k7computing.com/free-trial
# Option 2: Purchase license
# Visit: https://www.k7computing.com/purchase
# Option 3: Use free alternatives
# - Windows Defender (built into Windows 10/11)
# - Avast Free Antivirus
# - AVG Free Antivirus
# - Bitdefender Free Edition
# Windows: Immediate response
# 1. Disconnect from internet
Disable-NetAdapter -Name "*" -Confirm:$false
# 2. Run full system scan with Windows Defender
Start-MpScan -ScanType FullScan
# 3. Remove suspicious files
# DO NOT execute them first!
# 4. Check for unauthorized scheduled tasks
Get-ScheduledTask | Where-Object {$_.TaskPath -notlike "\Microsoft\*"}
# 5. Review startup programs
Get-CimInstance Win32_StartupCommand | Select-Object Name, Command, Location
# 6. Change all passwords from a clean device
# Your credentials may have been compromised
graph TD
A[User finds "crack" repo] --> B[Downloads from external link]
B --> C[File appears as installer/patch]
C --> D[User runs with admin privileges]
D --> E[Malware payload executes]
E --> F[Creates persistence]
E --> G[Steals credentials]
E --> H[Downloads additional malware]
E --> I[Joins botnet]
F --> J[System compromised]
G --> J
H --> J
I --> J
deception_techniques:
authority_mimicry:
- "Uses legitimate product name and version numbers"
- "Professional-looking documentation"
- "Technical jargon to appear credible"
urgency_creation:
- "Limited time offer"
- "2026 Edition (implying latest/best)"
- "High star count (artificially inflated)"
trust_exploitation:
- "GitHub hosting (platform trust transfer)"
- "Detailed README (false legitimacy)"
- "Mermaid diagrams and code blocks (technical credibility)"
barrier_removal:
- "Free instead of paid"
- "No registration required"
- "One-click download"
# Report malicious repository
# Method 1: Via web interface
# Navigate to: https://github.com/contact/report-abuse
# Select: "It contains malware or is a phishing site"
# Method 2: Via email
# To: dmca@github.com
# Subject: Malware Distribution Report - [REPO_URL]
# Report to K7 Computing
# Email: support@k7computing.com
# Subject: Unauthorized Distribution & Brand Abuse
# Include: Repository URL and description of misuse
When integrating security scanning into your workflow:
# .env file for security scanning tools
# VirusTotal API (for file scanning)
VIRUSTOTAL_API_KEY=${VIRUSTOTAL_API_KEY}
# GitHub token (for repository analysis)
GITHUB_TOKEN=${GITHUB_TOKEN}
# Notification webhooks
SECURITY_ALERT_WEBHOOK=${SECURITY_ALERT_WEBHOOK}
# Never hardcode credentials in scripts
This is intentional. Malware distributors create elaborate facades to appear legitimate. Professional appearance ≠ legitimate software.
Star counts can be artificially inflated through:
New malware variants may not yet have signatures. Additionally:
When a user asks about crack/patch/keygen repositories:
Never provide instructions on how to use cracked software, even if asked directly.
A malicious repository disguised as F-Secure security software that likely distributes malware or cracked software
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