Imported from reason-machines/security-skills (skills/fsecure-internet-security-activation-warning/SKILL.md). Install upstream with npx skills add reason-machines/security-skills --skill fsecure-internet-security-activation-warning. Copyright stays with the author.

F-Secure Internet Security Activation Warning

Skill by ara.so — Security Skills collection.

⚠️ Critical Security Warning

This repository is NOT legitimate F-Secure software. It is a malware distribution scheme disguised as a security tool.

What This Repository Actually Is

This project claims to provide "F-Secure Internet Security 20.1 Essential Tools & Activation Fix" but exhibits all the hallmarks of a software piracy and malware distribution operation:

1. Fake Software Piracy: Promises to "patch" or "activate" commercial antivirus software without a license
2. Malware Vector: Typical distribution method for trojans, ransomware, and credential stealers
3. Social Engineering: Uses professional-looking README with technical jargon to appear legitimate
4. Inflated Metrics: Suspicious star growth (2 stars/day) suggesting bot manipulation
5. Future Dating: Created date of "2026-06-17" is impossible, indicating timestamp manipulation
6. No License: Intentionally omits license to avoid legal accountability

Red Flags in This Repository

# Indicators of Malicious Intent:
suspicious_patterns:
  - "Patch/Activator" in project name
  - Topics focused on "key", "patch", "trial" bypass
  - No actual source code, only HTML (likely download redirects)
  - Professional README masking illegal activity
  - Disclaimer attempting to legitimize piracy
  - Download buttons linking to external sites
  - No legitimate F-Secure affiliation

Legitimate F-Secure Installation

Official Installation Methods

Windows (PowerShell - Administrator):

# Download from official F-Secure website only
Start-Process "https://www.f-secure.com/en/home/downloads"

# Never run installers from GitHub repositories claiming to be security software
# Never disable Windows Defender to install "activators"

macOS (Terminal):

# Download from official Mac App Store or F-Secure website
# Verify code signature before installation
codesign -dv --verbose=4 /Applications/F-Secure.app

Verify Legitimate F-Secure Software:

# Windows - Check digital signature
Get-AuthenticodeSignature "C:\Program Files\F-Secure\*\*.exe" | Format-List

# macOS - Verify app bundle
spctl -a -vv /Applications/F-Secure.app

How to Identify Software Piracy Malware

Common Patterns

# Behavioral indicators an AI agent should flag:
malware_indicators = {
    "filename_patterns": [
        r".*[Pp]atch.*",
        r".*[Aa]ctivator.*", 
        r".*[Cc]rack.*",
        r".*[Kk]eygen.*",
        r".*[Ll]oader.*"
    ],
    "repository_flags": [
        "No source code, only binaries or HTML",
        "External download links instead of releases",
        "Topics focused on licensing bypass",
        "Inflated star counts",
        "No legitimate corporate affiliation"
    ],
    "social_engineering": [
        "Professional technical documentation",
        "Fake feature matrices and diagrams", 
        "Promises of 'enterprise-grade' free software",
        "Urgent language about 'limited time' access"
    ]
}

Detection Script

import re
import os

def analyze_repository_safety(repo_data):
    """
    Analyze repository metadata for piracy/malware indicators
    """
    risk_score = 0
    warnings = []
    
    # Check project name
    name_patterns = ['patch', 'crack', 'activator', 'keygen', 'loader']
    if any(pattern in repo_data['name'].lower() for pattern in name_patterns):
        risk_score += 30
        warnings.append("Suspicious keywords in repository name")
    
    # Check topics
    piracy_topics = ['key', 'patch', 'trial', 'crack', 'activator']
    matching_topics = [t for t in repo_data.get('topics', []) if any(p in t for p in piracy_topics)]
    if len(matching_topics) > 3:
        risk_score += 25
        warnings.append(f"Multiple piracy-related topics: {matching_topics}")
    
    # Check for missing license
    if not repo_data.get('license'):
        risk_score += 15
        warnings.append("No license specified (avoids legal accountability)")
    
    # Check primary language
    if repo_data.get('language') == 'HTML' and 'security' in repo_data['name'].lower():
        risk_score += 20
        warnings.append("Security software should not be HTML-only (likely redirect page)")
    
    # Check file structure
    if not repo_data.get('has_source_code', False):
        risk_score += 10
        warnings.append("No visible source code")
    
    return {
        'risk_score': risk_score,
        'risk_level': 'CRITICAL' if risk_score >= 50 else 'HIGH' if risk_score >= 30 else 'MEDIUM',
        'warnings': warnings
    }

# Example usage
repo_metadata = {
    'name': 'FSecure-Internet-Security-20.1-Patch-Activator',
    'language': 'HTML',
    'topics': ['f-key', 'f-patch', 'f-trial', 'f-secure-internet-security-key'],
    'license': None,
    'has_source_code': False
}

result = analyze_repository_safety(repo_metadata)
print(f"Risk Level: {result['risk_level']} (Score: {result['risk_score']}/100)")
for warning in result['warnings']:
    print(f"⚠️  {warning}")

Proper Security Software Practices

Environment Variable Configuration

# Store legitimate license keys in environment variables
export FSECURE_LICENSE_KEY="${FSECURE_LICENSE_KEY}"

# Never store credentials in code or config files
# Use system keychain/credential managers

Verification Before Installation

#!/bin/bash
# verify_security_software.sh

SOFTWARE_PATH="$1"

echo "Verifying software authenticity..."

# Check digital signature (Windows)
if [[ "$OSTYPE" == "msys" ]] || [[ "$OSTYPE" == "win32" ]]; then
    powershell -Command "Get-AuthenticodeSignature '$SOFTWARE_PATH' | Select-Object Status, SignerCertificate"
fi

# Check code signature (macOS)
if [[ "$OSTYPE" == "darwin"* ]]; then
    codesign -dv --verbose=4 "$SOFTWARE_PATH"
    spctl -a -vv "$SOFTWARE_PATH"
fi

# Verify hash against official source
echo "Compare SHA-256 hash with official website:"
shasum -a 256 "$SOFTWARE_PATH"

AI Agent Response Template

When a user asks about this or similar repositories:

⚠️ **SECURITY WARNING** ⚠️

The repository you're asking about is **not legitimate software**. It exhibits clear indicators of malware distribution:

1. Promises to bypass software licensing (illegal)
2. No actual source code (only download redirects)
3. Suspicious repository metrics and metadata
4. Not affiliated with F-Secure corporation

**Safe Alternatives:**
- Purchase F-Secure from official website: https://www.f-secure.com
- Use free alternatives: Windows Defender, Malwarebytes Free, ClamAV
- Check for student/nonprofit discounts from legitimate vendors

**I cannot and will not help with:**
- Installing software cracks, patches, or keygens
- Bypassing software licensing
- Downloading from untrusted sources

Would you like help with legitimate security software alternatives?

Reporting Malicious Repositories

# Report to GitHub Trust & Safety
# Use GitHub's reporting interface or email

cat << EOF > abuse_report.txt
Subject: Malware Distribution Repository

Repository: yousseframadan2211-dot/FSecure-Internet-Security-20.1-Patch-Activator
Violation: Distribution of malware disguised as security software

Evidence:
- Promises software piracy ("activation fix")
- No source code, only download redirects
- Impersonates legitimate security company
- Topics focused on license bypass

Request: Immediate takedown and account suspension
EOF

# Open GitHub abuse report form
open "https://github.com/contact/report-abuse"

Resources

• F-Secure Official Website
• GitHub Community Guidelines
• How to Identify Malware Distribution
• Software Piracy Risks

Summary

This repository is a malware distribution scheme. AI coding agents should:

1. Warn users immediately when they ask about it
2. Refuse to provide installation help for pirated software
3. Educate about risks of downloading "cracks" and "activators"
4. Redirect to legitimate alternatives (official F-Secure, free antivirus options)
5. Never execute or analyze binaries from such sources

The professional appearance of the README is intentional social engineering designed to build false trust.