k7-total-security-configuration

# K7 Total Security Configuration > Skill by [ara.so](https://ara.so) — Security Skills collection. ⚠️ **SECURITY WARNING**: This repository appears to distribute patches/cracks for commercial security software. The legitimate K7 Total Security is a commercial product from K7 Computing. This skill documents the *claimed* configuration patterns from the repository for educational purposes only. **Always obtain proper licenses for commercial software and avoid downloading executables from unofficial sources.** ## Overview The repository claims to provide configuration templates and deployment patterns for K7 Total Security 16.0.1195, presenting it as a unified endpoint protection framework with: - Signatureless AI-based threat detection - Multi-platform policy synchronization (Windows, macOS, Linux) - Modular protection layers (executable guard, memory scanner, USB filter, web filter) - AI integrations (OpenAI GPT, Claude) for automated incident analysis - YAML-based configuration profiles - Remote console management via CLI **Note**: The architecture and code examples in the repository are configuration templates, not the actual security software. ## Installation According to the repository structure, deployment involves: 1. **Obtain configuration templates**: ```bash git clone https://github.com/29Hinojosa/K7-Total-Security-Unlock-Patch-16-0-1195.git cd K7-Total-Security-Unlock-Patch-16-0-1195 ``` 2. **Directory structure** (assumed): ``` . ├── profiles/ # YAML configuration profiles ├── k7-console # CLI management tool ├── admin_credentials.pem # Authentication certificates └── deployment/ # Platform-specific installers ``` 3. **Prerequisites**: - Administrative/root access on target endpoints - Network connectivity for remote management - API keys for AI integrations (optional) ## Configuration Profile Structure ### Basic Profile Format Configuration profiles use YAML to define protection policies: ```yaml profile_name: "Enterprise Balanced 2026" version: "16.0.1195" enforcement_level: "adaptive" # Options: strict, adaptive, permissive protection_layers: executable_guard: state: enabled # enabled | disabled action_on_threat: "quarantine" # quarantine | block | alert exceptions: - path: "C:\\DevTools\\*" - path: "/opt/development/*" - hash: "a3f5e8d9c1b2..." # SHA256 whitelist memory_scanner: state: enabled sensitivity: "high" # low | medium | high scan_interval_seconds: 300 exclusions: - process: "docker.exe" - process: "vmware-vmx" usb_filter: state: enabled policy: "read_only_for_unknown" # block_all | read_only_for_unknown | allow_all allow_list: - vendor_id: "0x0781" # SanDisk serial: "*" - vendor_id: "0x13FE" # Kingston serial: "ABC123*" web_filter: state: enabled categories_blocked: - "malware_distribution" - "phishing" - "cryptomining_scripts" - "adult_content" allow_list: - domain: "*.company-internal.io" - domain: "*.github.com" - ip_range: "10.0.0.0/8" logging: verbose: true retention_days: 90 local_path: "/var/log/k7security" forward_to: - type: "syslog" server: "10.0.1.50:514" protocol: "tcp" - type: "elasticsearch" endpoint: "https://logs.company.io:9200" index_pattern: "k7-security-%{+YYYY.MM.dd}" notifications: email: enabled: true smtp_server: "smtp.company.io:587" recipients: - "secops@company.io" severity_threshold: "medium" # low | medium | high | critical webhook: enabled: true url: "${SLACK_WEBHOOK_URL}" # Use environment variable headers: Content-Type: "application/json" retry_attempts: 3 ``` ### AI Integration Configuration ```yaml ai_integration: incident_analysis: enabled: true provider: "openai" # openai | claude | azure-openai endpoint: "https://api.openai.com/v1/chat/completions" api_key_env: "OPENAI_API_KEY" # Reference to environment variable model: "gpt-4-turbo" max_tokens: 2000 temperature: 0.3 timeout_seconds: 30 # Prompt template for incident analysis system_prompt: | You are a security analyst. Analyze the following threat event and provide: 1. Threat classification 2. Severity assessment (Low/Medium/High/Critical) 3. Recommended containment actions 4. Investigation steps automated_response: enabled: false # Careful with auto-actions provider: "claude" endpoint: "https://api.anthropic.com/v1/messages" api_key_env: "ANTHROPIC_API_KEY" model: "claude-3-opus-20240229" max_tokens: 1500 # Only auto-respond to specific threat types auto_execute_for: - "known_malware" - "ransomware_behavior" # Actions the AI can suggest allowed_actions: - "terminate_process" - "block_network" - "quarantine_file" # Never allow "delete_file" or "disable_protection" ``` ## CLI Console Commands ### Apply Configuration Profile ```bash # Apply profile to local system k7-console --apply-profile profiles/enterprise_balanced.yaml \ --target localhost \ --log-level verbose # Apply to remote endpoint k7-console --apply-profile profiles/enterprise_balanced.yaml \ --target 192.168.1.100 \ --auth-file certs/admin_credentials.pem \ --timeout 120 # Dry-run mode (validate without applying) k7-console --apply-profile profiles/strict_isolation.yaml \ --target 192.168.1.100 \ --dry-run ``` ### Query Protection Status ```bash # Check status of single endpoint k7-console --status --target 192.168.1.100 # Query multiple endpoints k7-console --status --target-list endpoints.txt \ --output json > status_report.json # Check specific protection layer k7-console --query memory_scanner \ --target 192.168.1.100 ``` ### Incident Investigation ```bash # Retrieve recent threat events k7-console --incidents --since "2026-03-01" \ --target 192.168.1.100 \ --severity high # Export incident details with AI analysis k7-console --incidents --incident-id "INC-20260312-001" \ --analyze-with-ai \ --output detailed_report.json # Query quarantined items k7-console --quarantine list \ --target 192.168.1.100 ``` ### Policy Management ```bash # List active policies k7-console --list-profiles --target 192.168.1.100 # Revert to previous configuration k7-console --rollback --version previous \ --target 192.168.1.100 # Export current configuration k7-console --export-config \ --target 192.168.1.100 \ --output current_config.yaml ``` ## Common Configuration Patterns ### Developer Workstation Profile ```yaml profile_name: "Developer Permissive" version: "16.0.1195" enforcement_level: "adaptive" protection_layers: executable_guard: state: enabled action_on_threat: "alert" # Don't block, just notify exceptions: - path: "C:\\Users\\*\\AppData\\Local\\Programs\\*" - path: "/usr/local/bin/*" - path: "${HOME}/.cargo/bin/*" - path: "${HOME}/go/bin/*" memory_scanner: state: enabled sensitivity: "medium" scan_interval_seconds: 600 exclusions: - process: "node.exe" - process: "python.exe" - process: "docker" - process: "code.exe" # VS Code usb_filter: state: enabled policy: "allow_all" # Developers need USB access log_all_activity: true web_filter: state: enabled categories_blocked: - "malware_distribution" - "phishing" # Allow access to developer resources allow_list: - domain: "*.github.com" - domain: "*.npmjs.com" - domain: "*.pypi.org" - domain: "*.stackoverflow.com" ``` ### High-Security Kiosk Profile ```yaml profile_name: "Kiosk Lockdown" version: "16.0.1195" enforcement_level: "strict" protection_layers: executable_guard: state: enabled action_on_threat: "block" # Whitelist approach: only allow specific executables allow_list_mode: true allowed_executables: - path: "C:\\Program Files\\KioskApp\\kiosk.exe" hash: "a3f5e8d9c1b2e4f6a8b0c2d4e6f8a0b2" - path: "C:\\Windows\\explorer.exe" hash: "verified_microsoft_signature" memory_scanner: state: enabled sensitivity: "high" scan_interval_seconds: 60 usb_filter: state: enabled policy: "block_all" # No USB devices allowed web_filter: state: enabled # Whitelist approach: only allow specific domains allow_list_mode: true allowed_domains: - "company-portal.io" block_all_others: true # Disable all notifications to kiosk users notifications: email: enabled: false webhook: enabled: false ``` ### Server Infrastructure Profile ```yaml profile_name: "Linux Server Production" version: "16.0.1195" enforcement_level: "strict" protection_layers: executable_guard: state: enabled action_on_threat: "block" exceptions: - path: "/usr/sbin/*" - path: "/usr/bin/*" - path: "/opt/application/bin/*" monitor_sudo_activity: true memory_scanner: state: enabled sensitivity: "high" scan_interval_seconds: 120 exclusions: - process: "postgres" - process: "mysqld" - process: "redis-server" usb_filter: state: enabled policy: "block_all" # No USB on servers web_filter: state: disabled # Server outbound filtering handled by firewall ai_integration: incident_analysis: enabled: true provider: "openai" api_key_env: "OPENAI_API_KEY" model: "gpt-4-turbo" # Auto-analyze all incidents on production servers auto_analyze_threshold: "low" logging: verbose: true retention_days: 365 # Compliance requirement forward_to: - type: "syslog" server: "siem.company.io:514" protocol: "tcp" tls: true notifications: webhook: enabled: true url: "${PAGERDUTY_WEBHOOK_URL}" severity_threshold: "medium" ``` ## AI Integration Implementation ### Setting Up OpenAI Integration ```bash # Set API key as environment variable export OPENAI_API_KEY="sk-proj-..." # Update profile to enable AI analysis cat > profiles/ai_enabled.yaml <<EOF ai_integration: incident_analysis: enabled: true provider: "openai" api_key_env: "OPENAI_API_KEY" model: "gpt-4-turbo" max_tokens: 2000 temperature: 0.3 system_prompt: | Analyze this security incident and provide: 1. Threat type and MITRE ATT&CK mapping 2. Severity (Low/Medium/High/Critical) 3. Immediate containment steps 4. Root cause hypothesis 5. Recommended investigation queries EOF # Apply configuration k7-console --apply-profile profiles/ai_enabled.yaml --target localhost ``` ### Claude Integration for Advanced Analysis ```bash # Set Claude API key export ANTHROPIC_API_KEY="sk-ant-..." # Configure Claude for deeper analysis cat > profiles/claude_analysis.yaml <<EOF ai_integration: incident_analysis: enabled: true provider: "claude" api_key_env: "ANTHROPIC_API_KEY" model: "claude-3-opus-20240229" max_tokens: 4000 # Claude is good at chain-of-thought reasoning system_prompt: | You are an expert incident responder. For each threat event: <analysis_steps> 1. Review the event metadata and extract key indicators 2. Classify the threat using MITRE ATT&CK framework 3. Assess potential impact and lateral movement risk 4. Recommend containment actions prioritized by urgency 5. Suggest forensic artifacts to preserve </analysis_steps> Provide structured output in JSON format. EOF ``` ### Example AI Analysis Response When an incident occurs, the AI integration produces: ```json { "incident_id": "INC-20260312-001", "timestamp": "2026-03-12T14:23:05Z", "ai_analysis": { "provider": "openai", "model": "gpt-4-turbo", "threat_classification": { "type": "Credential Dumping", "mitre_technique": "T1003.001", "confidence": 0.92 }, "severity": "Critical", "summary": "Detected LSASS memory access pattern consistent with Mimikatz or similar credential dumping tool. Process 'powershell.exe' (PID 4532) accessed LSASS memory regions typically used for credential storage.", "containment_actions": [ { "priority": 1, "action": "terminate_process", "target": "powershell.exe (PID 4532)", "reason": "Active credential dumping in progress" }, { "priority": 2, "action": "block_network", "target": "192.168.1.100", "reason": "Prevent exfiltration of dumped credentials" }, { "priority": 3,