oyi77/1ai-skills/analyzing-azure-activity-logs-for-threats

Analyzing Azure Activity Logs For Threats

Overview

Cybersecurity skill for analyzing azure activity logs for threats. Follows industry best practices and security standards.

When to Use

Trigger phrases:

• "analyzing azure activity logs for threats"
• "When investigating security incidents that require analyzing azure activity logs"
• "When building detection rules or threat hunting queries for this domain"
• "When SOC analysts need structured procedures for this analysis type"

• When investigating security incidents that require analyzing azure activity logs for threats
• When building detection rules or threat hunting queries for this domain
• When SOC analysts need structured procedures for this analysis type
• When validating security monitoring coverage for related attack techniques

When NOT to Use

• When you lack proper authorization for testing
• For production systems without change management
• When the task requires legal or compliance expertise beyond technical scope

Prerequisites

• Familiarity with security operations concepts and tools
• Access to a test or lab environment for safe execution
• Python 3.8+ with required dependencies installed
• Appropriate authorization for any testing activities

Workflow

# Example: IOC detection
import re
IOC_PATTERNS = {
    "ip": r"\b(?:\d{1,3}\.){3}\d{1,3}\b",
    "domain": r"\b[a-z0-9-]+\.[a-z]{2,}\b",
    "hash_md5": r"\b[a-f0-9]{32}\b",
    "hash_sha256": r"\b[a-f0-9]{64}\b",
}
def extract_iocs(text: str) -> dict:
    return {k: re.findall(v, text) for k, v in IOC_PATTERNS.items()}

1. Scope the Analysis — Define what azure activity logs artifacts or data sources to examine and the investigation timeline.
2. Preserve Evidence — Create forensic copies of relevant data. Maintain chain of custody documentation.
3. Extract Key Indicators — Use threats to parse and extract relevant azure activity logs data points from collected artifacts.
4. Correlate Findings — Cross-reference extracted data with other sources (threat intel, logs, timelines).
5. Build Timeline — Construct a chronological sequence of events related to azure activity logs.
6. Document Analysis — Write findings report with evidence, conclusions, and recommendations.

Tools

• threats — Primary tool for this skill
• Forensic Toolkit — Evidence collection and analysis
• Timeline Tools — Chronological event reconstruction
• Log Analysis Platform — Centralized log parsing and search

Process

1. Scope — Define research questions, identify data sources, set time boundaries
2. Gather — Collect data from primary sources, APIs, and public records
3. Synthesize — Analyze findings, identify patterns, produce actionable report

Verification

• [ ] All azure activity logs procedures executed completely and documented
• [ ] Findings validated against multiple data sources
• [ ] False positives identified and filtered
• [ ] Results documented with evidence and timestamps
• [ ] Recommendations provided with risk-based prioritization

Anti-Rationalization Table