mirror of
https://github.com/mukul975/Anthropic-Cybersecurity-Skills.git
synced 2026-06-10 21:24:56 +03:00
mukul975
27c6414ca5
Complete skill folder anatomy across all cybersecurity skills: - scripts/agent.py: 80-150 line Python agents using real libraries (impacket, boto3, azure-mgmt-*, kubernetes, pefile, yara, scapy, shodan, stix2, etc.) - references/api-reference.md: real API documentation with method signatures - LICENSE: MIT license for all skill folders
1.9 KiB
1.9 KiB
API Reference: SQL Injection Detection Agent
Dependencies
| Library | Version | Purpose |
|---|---|---|
| requests | >=2.28 | HTTP client for injection payload delivery |
CLI Usage
python scripts/agent.py \
--url "https://target.example.com/products" \
--param id --method GET \
--output sqli_report.json
Functions
detect_error_based(url, param, method, headers) -> dict
Injects ' and matches response against SQL error patterns for MySQL, PostgreSQL, MSSQL, Oracle, SQLite.
detect_boolean_based(url, param, method, headers) -> dict
Compares response lengths for AND 1=1 (true) vs AND 1=2 (false) against a baseline.
detect_time_based(url, param, method, headers, delay) -> dict
Tests SLEEP(), pg_sleep(), and WAITFOR DELAY payloads. Measures response time against target delay.
detect_union_columns(url, param, method, headers, max_cols) -> dict
Increments ORDER BY N until error to determine column count for UNION injection.
fingerprint_database(url, param, method, headers) -> dict
Tries @@version and version() via UNION SELECT to identify the database engine.
run_assessment(url, param, method) -> dict
Runs all detection techniques and compiles findings.
SQL Error Signatures
| Database | Pattern |
|---|---|
| MySQL | SQL syntax.*MySQL, Warning.*mysql_ |
| PostgreSQL | ERROR:\s+syntax error, PSQLException |
| MSSQL | SQL Server.*Driver, SQLServerException |
| Oracle | ORA-\d{5} |
| SQLite | SQLite\.Exception |
Output Schema
{
"target": "https://target.example.com/products",
"parameter": "id",
"injectable": true,
"error_based": {"injectable": true, "database": "mysql"},
"boolean_based": {"injectable": true},
"time_based": {"injectable": false},
"findings": ["CRITICAL: Error-based SQLi confirmed (DB: mysql)"]
}