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Security Operations🟡 Intermediate

Analyzing API Gateway Access Logs

Parse API Gateway access logs (AWS API Gateway, Kong, Nginx) to detect BOLA/IDOR attacks, rate limit bypass, credential scanning, and injection attempts. Uses pandas for statistical analysis of request patterns and anomaly detection.

3 min read2 code examples

Analyzing API Gateway Access Logs

Instructions

Parse API gateway access logs to identify attack patterns including broken object

level authorization (BOLA), excessive data exposure, and injection attempts.

import pandas as pd

df = pd.read_json("api_gateway_logs.json", lines=True)
# Detect BOLA: same user accessing many different resource IDs
bola = df.groupby(["user_id", "endpoint"]).agg(
    unique_ids=("resource_id", "nunique")).reset_index()
suspicious = bola[bola["unique_ids"] > 50]

Key detection patterns:

  1. BOLA/IDOR: sequential resource ID enumeration
  2. Rate limit bypass via header manipulation
  3. Credential scanning (401 surges from single source)
  4. SQL/NoSQL injection in query parameters
  5. Unusual HTTP methods (DELETE, PATCH) on read-only endpoints

Examples

# Detect 401 surges indicating credential scanning
auth_failures = df[df["status_code"] == 401]
scanner_ips = auth_failures.groupby("source_ip").size()
scanners = scanner_ips[scanner_ips > 100]

Verification Criteria

Confirm successful execution by validating:

  • [ ] All prerequisite tools and access requirements are satisfied
  • [ ] Each workflow step completed without errors
  • [ ] Output matches expected format and contains expected data
  • [ ] No security warnings or misconfigurations detected
  • [ ] Results are documented and evidence is preserved for audit

Compliance Framework Mapping

This skill supports compliance evidence collection across multiple frameworks:

  • SOC 2: CC7.1 (Monitoring), CC7.2 (Anomaly Detection), CC7.3 (Incident Identification)
  • ISO 27001: A.12.4 (Logging & Monitoring), A.16.1 (Security Incident Management)
  • NIST 800-53: AU-6 (Audit Review), SI-4 (System Monitoring), IR-5 (Incident Monitoring)
  • NIST CSF: DE.AE (Anomalies & Events), DE.CM (Continuous Monitoring)

Claw GRC Tip: When this skill is executed by a registered agent, compliance evidence is automatically captured and mapped to the relevant controls in your active frameworks.

Deploying This Skill with Claw GRC

Agent Execution

Register this skill with your Claw GRC agent for automated execution:

# Install via CLI
npx claw-grc skills add analyzing-api-gateway-access-logs

# Or load dynamically via MCP
grc.load_skill("analyzing-api-gateway-access-logs")

Audit Trail Integration

When executed through Claw GRC, every step of this skill generates tamper-evident audit records:

  • SHA-256 chain hashing ensures no step can be modified after execution
  • Evidence artifacts (configs, scan results, logs) are automatically attached to relevant controls
  • Trust score impact — successful execution increases your agent's trust score

Continuous Compliance

Schedule this skill for recurring execution to maintain continuous compliance posture. Claw GRC monitors for drift and alerts when re-execution is needed.

Use with Claw GRC Agents

This skill is fully compatible with Claw GRC's autonomous agent system. Deploy it to any registered agent via MCP, and every execution will be logged in the tamper-evident audit trail.

// Load this skill in your agent
npx claw-grc skills add analyzing-api-gateway-access-logs
// Or via MCP
grc.load_skill("analyzing-api-gateway-access-logs")

Tags

analyzingapigatewayaccess

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Skill Details

Domain
Security Operations
Difficulty
intermediate
Read Time
3 min
Code Examples
2

On This Page

InstructionsExamplesVerification CriteriaCompliance Framework MappingDeploying This Skill with Claw GRC

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