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Agent skill

Detecting SQL Injection Via Waf Logs

by mukul975 in mukul975/Anthropic-Cybersecurity-Skills

Analyze WAF (ModSecurity/AWS WAF/Cloudflare) logs to detect SQL injection attack campaigns.

Apache-2.0Auto-check passedSecurity

Install Detecting SQL Injection Via Waf Logs

skills CLI
$ npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill detecting-sql-injection-via-waf-logs -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install mukul975/Anthropic-Cybersecurity-Skills detecting-sql-injection-via-waf-logs --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/mukul975/Anthropic-Cybersecurity-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/detecting-sql-injection-via-waf-logs .claude/skills/detecting-sql-injection-via-waf-logs && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
detecting-sql-injection-via-waf-logs
GitHub stars
34k
Token cost
~564 tokens
SKILL.md length
150 words
Files
4 (incl. scripts, references)
Skills in repo
644
Repo updated
First seen
Licence
Apache-2.0

At a glance

Analyze WAF (ModSecurity/AWS WAF/Cloudflare) logs to detect SQL injection attack campaigns.

  • Works in 3 steps: Install dependencies: pip install requests → Collect WAF logs (ModSecurity audit log,… → Run the agent to parse and analyze
  • Tasks that involve Web application vulnerabilities
  • SKILL.md covers When to Use, Prerequisites, Instructions and Examples
  • Runs Python scripts from its folder; calls python and pip

What it does

Detecting SQL Injection Via Waf Logs is an agent skill from mukul975/Anthropic-Cybersecurity-Skills. Analyze WAF (ModSecurity/AWS WAF/Cloudflare) logs to detect SQL injection attack campaigns. Parses ModSecurity audit logs and JSON WAF event logs to identify SQLi patterns (UNION SELECT, OR 1=1, SLEEP(), BENCHMARK()), tracks attack sources, correlates multi-stage injection attempts, and generates incident reports with OWASP classification.

Its SKILL.md is about 560 tokens, which your agent loads only when the skill is triggered. The skill folder holds 5 other files, including scripts and reference files (for example `references/api-reference.md` and `scripts/agent.py`).

It sits in Security, covering Web application vulnerabilities. It works with Amazon Web Services and Cloudflare. The repository describes itself as: 817 structured cybersecurity skills for AI agents · Mapped to 6 frameworks: MITRE ATT&CK, NIST CSF 2.0, MITRE ATLAS, D3FEND, NIST AI RMF & MITRE F3 (Fight Fraud) · agentskills.io…. The licence is Apache-2.0.

When your agent uses it

  • Tasks that involve Web application vulnerabilities

Example prompts

  • “/detecting-sql-injection-via-waf-logs”

Requirements

  • Python 3

Workflow steps

3 steps, taken from the first numbered list in SKILL.md.

  1. Install dependencies: pip install requests
  2. Collect WAF logs (ModSecurity audit log, AWS WAF JSON logs, or Cloudflare firewall events).
  3. Run the agent to parse and analyze

What it can do on your machine

Read from SKILL.md and the folder at commit 54a7988. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships 1 file in scripts/ (Python), which the agent can run.

    Shell commands in SKILL.md call:

    • python
    • pip

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md. Its commands use pip, which can reach the network depending on how they are called.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Detecting SQL Injection Via Waf Logs loads about 564 tokens when it runs, and up to ~1k if it reads all its reference files. Until then it costs about 95 tokens; SKILL.md has 150 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~95
When it runs · the whole SKILL.md, loaded when a task matches
~564
With references · SKILL.md plus every file in references/, read only if the agent opens them
~1k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

The full file from mukul975/Anthropic-Cybersecurity-Skills at commit 54a7988, republished under its Apache-2.0 licence (© mukul975). 150 words, ~564 tokens.

Download SKILL.mdSave it as .claude/skills/detecting-sql-injection-via-waf-logs/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.
name
detecting-sql-injection-via-waf-logs
description
Analyze WAF (ModSecurity/AWS WAF/Cloudflare) logs to detect SQL injection attack campaigns. Parses ModSecurity audit logs and JSON WAF event logs to identify SQLi patterns (UNION SELECT, OR 1=1, SLEEP(), BENCHMARK()), tracks attack sources, correlates multi-stage injection attempts, and generates incident reports with OWASP classification.
domain
cybersecurity
subdomain
security-operations
tags
waf-log-analysis, sql-injection-detection, modsecurity, aws-waf, cloudflare-waf, web-application-security
version
1.0
author
mahipal
license
Apache-2.0
nist_csf
DE.CM-01, RS.MA-01, GV.OV-01, DE.AE-02
mitre_attack
T1190, T1505.003, T1059.007

Detecting SQL Injection via WAF Logs

When to Use

  • When investigating security incidents that require detecting sql injection via waf 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

  1. Install dependencies: pip install requests
  2. Collect WAF logs (ModSecurity audit log, AWS WAF JSON logs, or Cloudflare firewall events).
  3. Run the agent to parse and analyze:
    • Detect SQLi payloads via 15+ regex patterns
    • Classify attacks by OWASP injection type (classic, blind, time-based, UNION-based)
    • Identify persistent attackers by IP clustering
    • Correlate multi-request injection campaigns
    • Calculate attack success probability based on response codes
bash
python scripts/agent.py --log-file /var/log/modsec_audit.log --format modsecurity --output sqli_report.json

Examples

ModSecurity SQLi Detection
Rule 942100 triggered: SQL Injection Attack Detected via libinjection
URI: /api/users?id=1' UNION SELECT username,password FROM users--
Source IP: 203.0.113.42 (47 requests in 5 minutes)
Classification: UNION-based SQLi campaign

© mukul975, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 3 other files (scripts, references) in skills/detecting-sql-injection-via-waf-logs of mukul975/Anthropic-Cybersecurity-Skills.

  • SKILL.md
  • LICENSE
  • references/api-reference.md
  • scripts/agent.py

Open the folder on GitHubat commit 54a7988

Compare with similar skills

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Detecting SQL Injection Via Waf Logs compared with similar skills
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Detecting SQL Injection Via Waf Logs this skillmukul975/Anthropic-Cybersecurity-Skills34k—~564Automated safety check: PassApache-2.0
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Agent BomLeoYeAI/openclaw-master-skills2.2k—~4.4kAutomated safety check: PassApache-2.0
Update Provider Depsmondoohq/mql412—~4.5kAutomated safety check: PassCustom licence
Distilled SDKalchemy-run/distilled432—~6kAutomated safety check: PassApache-2.0

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Works with

Categories

Questions about Detecting SQL Injection Via Waf Logs

What does Detecting SQL Injection Via Waf Logs do?

Analyze WAF (ModSecurity/AWS WAF/Cloudflare) logs to detect SQL injection attack campaigns. Detecting SQL Injection Via Waf Logs is an agent skill from mukul975/Anthropic-Cybersecurity-Skills. Analyze WAF (ModSecurity/AWS WAF/Cloudflare) logs to detect SQL injection attack campaigns.

When should I use Detecting SQL Injection Via Waf Logs?

Detecting SQL Injection Via Waf Logs fits situations like: tasks that involve Web application vulnerabilities.

How do I install Detecting SQL Injection Via Waf Logs in Claude Code?

Run `npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill detecting-sql-injection-via-waf-logs -a claude-code`. Or copy the skill folder (skills/detecting-sql-injection-via-waf-logs in mukul975/Anthropic-Cybersecurity-Skills) into .claude/skills/detecting-sql-injection-via-waf-logs in your project. Claude Code loads it when a task matches its description.

How do I install Detecting SQL Injection Via Waf Logs in Codex?

Run `npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill detecting-sql-injection-via-waf-logs -a codex`. Or copy the skill folder (skills/detecting-sql-injection-via-waf-logs in mukul975/Anthropic-Cybersecurity-Skills) into .agents/skills/detecting-sql-injection-via-waf-logs in your project. Codex loads it when a task matches its description.

Can I use Detecting SQL Injection Via Waf Logs in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill detecting-sql-injection-via-waf-logs -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/detecting-sql-injection-via-waf-logs, .gemini/skills/detecting-sql-injection-via-waf-logs, .github/skills/detecting-sql-injection-via-waf-logs and .opencode/skills/detecting-sql-injection-via-waf-logs in your project.

What does Detecting SQL Injection Via Waf Logs need to run?

Going by SKILL.md and its folder, Detecting SQL Injection Via Waf Logs needs Python for the scripts in its folder and the command-line tools its instructions call (python and pip). Our summary lists: Python 3.

Does Detecting SQL Injection Via Waf Logs access the network?

SKILL.md contains no URLs. Its commands use pip, which can reach the network depending on how they are called. This is read from the text; nothing was executed.

Is Detecting SQL Injection Via Waf Logs safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Detecting SQL Injection Via Waf Logs use?

Detecting SQL Injection Via Waf Logs is published under the Apache-2.0 licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Detecting SQL Injection Via Waf Logs use?

About 564 tokens (SKILL.md is roughly 2.3k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 475 tokens, read only when the agent opens those files.

What are the alternatives to Detecting SQL Injection Via Waf Logs?

Skills that share tags, products or a category with Detecting SQL Injection Via Waf Logs: Blueprint Cloudflare Security (receptron/mulmoterminal, 237 stars), Hunt Cache Poison (elementalsouls/Claude-BugHunter, 4.8k stars), Agent Bom (LeoYeAI/openclaw-master-skills, 2.2k stars) and Update Provider Deps (mondoohq/mql, 412 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Detecting SQL Injection Via Waf Logs?

mukul975 (a GitHub user) maintains it in mukul975/Anthropic-Cybersecurity-Skills, which has 33,993 GitHub stars. The repository holds 644 skills in this directory. The repository was last updated on August 31, 2026.

Source: mukul975/Anthropic-Cybersecurity-Skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.