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https://github.com/SHOGGOTH-SECTOR/sica-fondt.git
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24f816b6a3
Place useful parts of the surrounding repos into sica-fondt by layer, per the
body model (Ada = membrane; brain/endocrine/capabilities/knowledge non-Ada):
- brain/ LLM reasoning + providers (dapr, hermes, MoMoA)
- capabilities/ REPRAG sidecars: hermes tools/skills, dapr tools, parallel
dispatch, A51 channels, and the OSINT cluster
- knowledge/ LORAG corpus: 754 cyber-skills, agency personas, secure-coding,
MITRE ATT&CK data
- reference/ defensive threat-reference (C3, shhbruh doc) + AdaYaml parser
License handling: AGPL sources (worldosint, advanced_evolution, mercury,
Reticulum) and GPL DeTTECT are SPEC-only clean-room/port descriptions — no
copyleft code copied. MIT/Apache/data parts copied as working trees.
Safety: shhbruh escape/persistence material and C3 covert-C2 kept as reference
only, not wired into the running organism. See CONSOLIDATION.md.
https://claude.ai/code/session_01UehUqEXXJJCsHoA4voCU5c
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)"]
}