A professional security operations toolkit demonstrating enterprise SOC capabilities including threat detection, incident response, threat intelligence integration, vulnerability management, and detection engineering. Built with industry best practices and MITRE ATT&CK framework alignment.

This repository provides production-ready tools and documentation for:

• Detection Engineering - Sigma-style detection rules with MITRE ATT&CK mappings
• Threat Intelligence - IoC enrichment and risk-based alert prioritization
• Incident Response - Structured investigation workflows and reporting templates
• SOC Automation - Python tools for alert triage, tagging, and timeline analysis
• Vulnerability Management - CVE tracking with CVSS-based risk prioritization
• Performance Metrics - KPI tracking (MTTD, MTTR, alert quality)

• Python 3.8+
• Basic understanding of SOC operations and MITRE ATT&CK

git clone https://github.com/yourusername/SOC-Alert-Analysis-and-Incident-Response.git
cd SOC-Alert-Analysis-and-Incident-Response

Detect brute force attacks:

python3 automation/brute_force_detector.py logs/auth.log

Enrich suspicious IPs with threat intelligence:

python3 threat-intel/ip_reputation_check.py 198.51.100.23

Analyze phishing email headers:

python3 email-analysis/header_parser.py logs/phishing_email_sample.eml

Auto-tag alerts with MITRE ATT&CK:

python3 automation/alert_tagger.py sample_alert.json

Generate incident timeline:

python3 automation/incident_timeline.py logs/auth.log --format markdown

• Mock threat intelligence database with risk scoring
• IP reputation checks with actionable recommendations
• IoC enrichment and correlation

• Sigma-style detection rules for brute force and phishing
• MITRE ATT&CK technique mappings (T1110, T1566, etc.)
• Tuning guidance and false positive analysis

• SPF, DKIM, DMARC authentication validation
• Automated header parsing and risk assessment
• Phishing indicator extraction

• Multi-event correlation patterns
• Example queries for Splunk-style logic
• False positive reduction strategies

• Sample vulnerability scan reports with 38 CVEs
• CVSS-based risk prioritization framework
• Patch management timelines

• MTTD (Mean Time to Detect)
• MTTR (Mean Time to Respond)
• Alert quality metrics (FPR, TPR, closure rate)
• SOC maturity assessment framework

Detection content for common threat techniques:

• T1110 - Brute Force (Credential Access)
• T1566 - Phishing (Initial Access)
• T1190 - Exploit Public-Facing Application
• T1021 - Remote Services (Lateral Movement)
• T1486 - Data Encrypted for Impact (Ransomware)
• T1041 - Exfiltration Over C2 Channel

• threat-intel/threat_intel_report.md - Threat intelligence integration guide
• email-analysis/email_header_analysis.md - Email authentication protocols
• siem/correlation_rules.md - Multi-event correlation patterns
• vulnerability-management/risk_prioritization.md - CVSS scoring framework
• metrics/soc_metrics.md - SOC KPIs and performance tracking
• handover/shift_handover_notes.md - Shift handover template

Contributions welcome. See CONTRIBUTING.md for guidelines.

MIT License - see LICENSE for details.

Educational use only. All data is simulated:

• No real malware, exploits, or phishing infrastructure
• IPs and domains use documentation ranges (TEST-NET)
• Scripts use mock data with no external API calls

Safe for portfolio and learning environments.

Professional SOC toolkit for detection engineering, incident response, and threat intelligence.