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mukul975
cb8d79e068
- Add validated mitre_attack frontmatter to all 754 skills (286 distinct techniques), verified against MITRE ATT&CK v19.1 via the official mitreattack-python library: 0 revoked, deprecated, or invalid IDs - Curate precise per-skill technique IDs for forensics, malware-analysis, threat-intel, and red-team skills (e.g. DCSync -> T1003.006, Kerberoasting -> T1558.003, Pass-the-Ticket -> T1550.003) - Reconcile v19.1 tactic restructuring: Defense Evasion split into Stealth (TA0005) and Defense Impairment (TA0112); revoked T1562.* family and T1070.001/.002 remapped to active equivalents (T1685.*) - Normalize word-split tags across 35 skills (remove filename-derived stopword tags, add semantic cybersecurity tags) - Add api-reference.md for 3 skills that were missing it - Update README ATT&CK section with accurate v19.1 tactic distribution
82 lines
2.3 KiB
Markdown
82 lines
2.3 KiB
Markdown
---
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name: analyzing-api-gateway-access-logs
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description: 'Parses API Gateway access logs (AWS API Gateway, Kong, Nginx) to detect
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BOLA/IDOR attacks, rate limit bypass, credential scanning, and injection attempts.
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Uses pandas for statistical analysis of request patterns and anomaly detection.
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Use when investigating API abuse or building API-specific threat detection rules.
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'
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domain: cybersecurity
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subdomain: security-operations
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tags:
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- api-security
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- access-log-analysis
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- aws-api-gateway
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- kong
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- nginx
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- bola-detection
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- rate-limit-bypass
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- security-operations
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version: '1.0'
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author: mahipal
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license: Apache-2.0
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nist_csf:
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- DE.CM-01
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- RS.MA-01
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- GV.OV-01
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- DE.AE-02
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mitre_attack:
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- T1190
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- T1110.004
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- T1078.004
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- T1119
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---
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# Analyzing API Gateway Access Logs
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## When to Use
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- When investigating security incidents that require analyzing api gateway access logs
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- When building detection rules or threat hunting queries for this domain
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- When SOC analysts need structured procedures for this analysis type
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- When validating security monitoring coverage for related attack techniques
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## Prerequisites
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- Familiarity with security operations concepts and tools
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- Access to a test or lab environment for safe execution
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- Python 3.8+ with required dependencies installed
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- Appropriate authorization for any testing activities
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## Instructions
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Parse API gateway access logs to identify attack patterns including broken object
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level authorization (BOLA), excessive data exposure, and injection attempts.
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```python
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import pandas as pd
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df = pd.read_json("api_gateway_logs.json", lines=True)
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# Detect BOLA: same user accessing many different resource IDs
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bola = df.groupby(["user_id", "endpoint"]).agg(
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unique_ids=("resource_id", "nunique")).reset_index()
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suspicious = bola[bola["unique_ids"] > 50]
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```
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Key detection patterns:
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1. BOLA/IDOR: sequential resource ID enumeration
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2. Rate limit bypass via header manipulation
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3. Credential scanning (401 surges from single source)
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4. SQL/NoSQL injection in query parameters
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5. Unusual HTTP methods (DELETE, PATCH) on read-only endpoints
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## Examples
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```python
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# Detect 401 surges indicating credential scanning
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auth_failures = df[df["status_code"] == 401]
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scanner_ips = auth_failures.groupby("source_ip").size()
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scanners = scanner_ips[scanner_ips > 100]
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```
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