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mukul975
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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
61 lines
1.9 KiB
Markdown
61 lines
1.9 KiB
Markdown
# API Reference: SQL Injection Detection Agent
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## Dependencies
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| Library | Version | Purpose |
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|---------|---------|---------|
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| requests | >=2.28 | HTTP client for injection payload delivery |
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## CLI Usage
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```bash
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python scripts/agent.py \
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--url "https://target.example.com/products" \
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--param id --method GET \
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--output sqli_report.json
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```
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## Functions
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### `detect_error_based(url, param, method, headers) -> dict`
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Injects `'` and matches response against SQL error patterns for MySQL, PostgreSQL, MSSQL, Oracle, SQLite.
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### `detect_boolean_based(url, param, method, headers) -> dict`
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Compares response lengths for `AND 1=1` (true) vs `AND 1=2` (false) against a baseline.
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### `detect_time_based(url, param, method, headers, delay) -> dict`
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Tests `SLEEP()`, `pg_sleep()`, and `WAITFOR DELAY` payloads. Measures response time against target delay.
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### `detect_union_columns(url, param, method, headers, max_cols) -> dict`
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Increments `ORDER BY N` until error to determine column count for UNION injection.
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### `fingerprint_database(url, param, method, headers) -> dict`
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Tries `@@version` and `version()` via UNION SELECT to identify the database engine.
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### `run_assessment(url, param, method) -> dict`
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Runs all detection techniques and compiles findings.
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## SQL Error Signatures
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| Database | Pattern |
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|----------|---------|
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| MySQL | `SQL syntax.*MySQL`, `Warning.*mysql_` |
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| PostgreSQL | `ERROR:\s+syntax error`, `PSQLException` |
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| MSSQL | `SQL Server.*Driver`, `SQLServerException` |
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| Oracle | `ORA-\d{5}` |
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| SQLite | `SQLite\.Exception` |
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## Output Schema
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```json
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{
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"target": "https://target.example.com/products",
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"parameter": "id",
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"injectable": true,
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"error_based": {"injectable": true, "database": "mysql"},
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"boolean_based": {"injectable": true},
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"time_based": {"injectable": false},
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"findings": ["CRITICAL: Error-based SQLi confirmed (DB: mysql)"]
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}
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```
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