oyi77/1ai-skills/analyzing-cloud-storage-access-patterns

Analyzing Cloud Storage Access Patterns

Overview

Cybersecurity skill for analyzing cloud storage access patterns. Follows industry best practices and security standards.

When to Use

Trigger phrases:

• "analyzing cloud storage access patterns"
• "Detect abnormal access patterns in AWS S3, GCS, and Azure Blob Storage by analyz"

• When investigating security incidents that require analyzing cloud storage access patterns
• 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 cloud security 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 cloud storage access patterns 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 — Parse and extract relevant cloud storage access patterns 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 cloud storage access patterns.
6. Document Analysis — Write findings report with evidence, conclusions, and recommendations.

Tools

• Forensic Toolkit — Evidence collection and analysis
• Timeline Tools — Chronological event reconstruction
• Log Analysis Platform — Centralized log parsing and search

Process

1. Design — Define interface, identify patterns, plan implementation
2. Implement — Write code following existing conventions, add tests
3. Verify — Run tests, check integration, validate behavior

Verification

• [ ] All cloud storage access patterns 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