analyzing-api-gateway-access-logs

Parses 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. Use when investigating API abuse or building API-specific threat detection rules.

Works with

Claude CodeCursorClineWindsurfCodexGooseGitHub CopilotZed

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Install Skill

Run in your terminal

$npx skills install mukul975/Anthropic-Cybersecurity-Skills/analyzing-api-gateway-access-logs

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Installation Guide

How to use analyzing-api-gateway-access-logs on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • Cursor installed and configured on your machine
  • Node.js 16+ with npm — verify with node --version
  • Active project directory where you want to add analyzing-api-gateway-access-logs
2

Run the install command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills install mukul975/Anthropic-Cybersecurity-Skills/analyzing-api-gateway-access-logs

Fetches analyzing-api-gateway-access-logs from mukul975/Anthropic-Cybersecurity-Skills and configures it for Cursor.

3

Select Cursor when prompted

The CLI shows a list of agents. Use arrow keys and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ────────────────
│ · Cline · Codex · Goose · Windsurf
│ ●Cursor(selected)
│ · Cursor · Aider · Continue
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/analyzing-api-gateway-access-logs

Restart Cursor to activate analyzing-api-gateway-access-logs. Access via /analyzing-api-gateway-access-logs in your agent's command palette.

Security Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.

Documentation

name
analyzing-api-gateway-access-logs
description
'Parses 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. Use when investigating API abuse or building API-specific threat detection rules. '
domain
cybersecurity
subdomain
security-operations
tags
- analyzing - api - gateway - access
version
'1.0'
author
mahipal
license
Apache-2.0
nist_csf
- DE.CM-01 - RS.MA-01 - GV.OV-01 - DE.AE-02

Analyzing API Gateway Access Logs

When to Use

  • When investigating security incidents that require analyzing api gateway access logs
  • 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

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

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]

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Use Cases

Task Automation & Efficiency

Automate repetitive workflows and reduce manual effort

Example

Generate reports, summarize documents, draft communications

Save 3-5 hours per week on routine tasks

Knowledge Enhancement

Learn new skills, understand complex topics, get expert guidance

Example

Explain concepts, provide examples, suggest learning resources

Accelerate learning and skill development by 2x

Quality Improvement

Enhance output quality through reviews, suggestions, and refinements

Example

Review drafts, suggest improvements, catch errors

Improve work quality by 30-40% with less effort

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client with skill support
  • Clear understanding of task or problem to solve
  • Willingness to iterate and refine outputs

Time Estimate

15-45 minutes depending on use case complexity

Steps

  1. 1Install skill using provided installation command
  2. 2Test with simple use case relevant to your work
  3. 3Evaluate output quality and relevance
  4. 4Iterate on prompts to improve results
  5. 5Integrate into regular workflow if valuable

Common Pitfalls

  • Expecting perfect results without iteration
  • Not providing enough context in prompts
  • Using skill for tasks outside its intended scope
  • Accepting outputs without review and validation

Best Practices

✓ Do

  • +Start with clear, specific prompts
  • +Provide relevant context and constraints
  • +Review and refine all outputs before using
  • +Iterate to improve output quality
  • +Document successful prompt patterns

✗ Don't

  • Don't use without understanding skill limitations
  • Don't skip validation of outputs
  • Don't share sensitive information in prompts
  • Don't expect skill to replace human judgment

💡 Pro Tips

  • Be specific about desired format and style
  • Ask for multiple options to choose from
  • Request explanations to understand reasoning
  • Combine AI efficiency with human expertise

When to Use This

✓ Use when

Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.

✗ Avoid when

Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.

Learning Path

  1. 1Familiarize yourself with skill capabilities and limitations
  2. 2Start with low-risk, non-critical tasks
  3. 3Progress to more complex and valuable use cases
  4. 4Build expertise through regular use and experimentation

Related Skills

Reviews

4.550 reviews
  • C
    Chinedu KhannaDec 28, 2024

    We added analyzing-api-gateway-access-logs from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • M
    Mei ThompsonDec 24, 2024

    Solid pick for teams standardizing on skills: analyzing-api-gateway-access-logs is focused, and the summary matches what you get after install.

  • M
    Mei MartinDec 20, 2024

    analyzing-api-gateway-access-logs is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • D
    Diya KimDec 16, 2024

    Keeps context tight: analyzing-api-gateway-access-logs is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • L
    Layla RahmanDec 12, 2024

    analyzing-api-gateway-access-logs fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • A
    Aanya MartinNov 27, 2024

    analyzing-api-gateway-access-logs fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • M
    Mei SanchezNov 15, 2024

    analyzing-api-gateway-access-logs is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • C
    Chinedu TaylorNov 11, 2024

    Solid pick for teams standardizing on skills: analyzing-api-gateway-access-logs is focused, and the summary matches what you get after install.

  • M
    Mei NasserOct 6, 2024

    Keeps context tight: analyzing-api-gateway-access-logs is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • C
    Chinedu SethiOct 2, 2024

    analyzing-api-gateway-access-logs has been reliable in day-to-day use. Documentation quality is above average for community skills.

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