breachsql 0.1.4

Context-aware SQL injection scanner with WAF detection and evasion

BreachSQL

Fast SQL injection scanner with built-in exploitation — detect and extract in one command, across all major backends, with WAF evasion baked in. No Java. No license. Drops into a Python pipeline.

# Kali / Debian / Ubuntu — use a virtual env (required on externally-managed Python)
python3 -m venv .venv && source .venv/bin/activate
pip install breachsql

# Scan and exploit in one pass
breachsql -u "https://target.com/item?id=1" --exploit

# Dump a table straight from the finding
breachsql -u "https://target.com/item?id=1" --dump users

Point it at a target. Get findings. Drop it in a pipeline.

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Why BreachSQL?

• Faster — binary-search boolean extraction, parallel surface probing, no per-request sleep loops
• Detect → exploit in one pass — --exploit extracts version, user, database, and tables immediately after a confirmed hit; --dump TABLE pulls rows without a second invocation
• Python API — from breachsql.engine import scan, ScanOptions — embed it directly in your own tooling or scripts
• Scan from spec — --openapi imports every endpoint from a Swagger/OpenAPI file and scans them all
• Curated payloads — backed by commonhuman-payloads, an auditable, versioned payload library shared across the toolchain
• Pipeline-native — structured JSON output, clean exit codes, no interactive prompts by default
• Lightweight — pure Python 3.10+, no C extensions, no Java, installs in a venv in seconds

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Quick Start

# GET parameter
breachsql -u "https://target.com/item?id=1"

# POST form
breachsql -u "https://target.com/login" -d "username=admin&password=x"

# JSON body
breachsql -u "https://target.com/api/user" -d '{"user_id": 1}'

# Cookie injection
breachsql -u "https://target.com/profile" --cookie "session_id=abc" --cookie-params session_id

# Path parameter
breachsql -u "https://target.com/item/1" --path-params id

# Time-blind with custom threshold
breachsql -u "https://target.com/search?name=x" --technique T --time-threshold 3

# Specific backend and technique
breachsql -u "https://target.com/users?id=1" --dbms mysql --technique E

# Extract version, current user, database name, and table list after detection
breachsql -u "https://target.com/users?id=1" --exploit

# Dump all rows from a specific table
breachsql -u "https://target.com/users?id=1" --dump users

# Full multi-technique scan
breachsql -u "https://target.com/report?id=1" --dbms mysql --technique EBTUS --level 2 --risk 2

# Authenticate before scanning
breachsql -u "https://target.com/app/search?q=test" \
  --login-url "https://target.com/login" \
  --login-user admin --login-pass secret

# Import all endpoints from an OpenAPI / Swagger spec
breachsql -u "https://target.com/" --openapi https://target.com/openapi.json

# Discover JS-rendered endpoints first, then scan everything
breachsql -u "https://target.com/" --browser-crawl --level 2

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Techniques

Flag	Technique	Description
E	Error-based	Database errors leak schema/data via malformed syntax
B	Boolean-blind	True/false response differences reveal data bit by bit
T	Time-blind	SLEEP() / pg_sleep() / randomblob() timing confirms injection
U	UNION-based	Column-count probing + data extraction via UNION SELECT
S	Stacked	Semicolon-delimited second statement injection

Combine with -t EBTUS to run all techniques in a single pass.

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Python API

from breachsql.engine import scan, ScanOptions

result = scan(
    "https://target.com/users?id=1",
    ScanOptions(dbms="mysql", technique="E", risk=1),
)

print(f"{result.total_findings} finding(s) in {result.duration_s:.1f}s")
for f in result.error_based:
    print(f"  [{f.technique}] {f.param} — {f.evidence}")

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Options

Option	Default	Description
-u	—	Target to use
--crawl	—	Crawl target
--dbms	auto	Target backend: mysql, mariadb, postgres, sqlite, mssql, oracle
-t / --technique	EBTUS	Techniques to run (any combo of E B T U S)
--level	1	Payload depth: 1 = standard, 2 = extended, 3 = extended + data extraction
--risk	1	Payload aggression: 1 = low, 2 = medium, 3 = high
--time-threshold	5	Seconds to consider a time-blind hit (T technique)
-d / --data	—	POST body — form-encoded or JSON
--cookie	—	Cookie string: name=val; name2=val2
--cookie-params	—	Which cookie names to inject
--header-params	—	HTTP header names to inject (e.g. X-Forwarded-For)
--path-params	—	Path segment names to treat as injection points
--second-url	—	Read URL for two-step injection
--timeout	10	Per-request timeout in seconds
--login-url	—	Login form URL — authenticates before scanning
--login-user	—	Username for form login
--login-pass	—	Password for form login
--openapi	—	OpenAPI/Swagger spec file or URL — imports endpoints to scan
--browser-crawl	—	Headless Chromium endpoint discovery (requires selenium)
--exploit	—	After detection, extract version / current user / database name / table list
--dump TABLE	—	Dump all rows from TABLE using a confirmed injection point (implies --exploit)
-o	—	Write findings to JSON file

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Fire Range

The BreachSQL Fire Range is a deliberately vulnerable Flask + MySQL + PostgreSQL + SQLite app that ships with OctoRig (lab slot 7). It provides injectable endpoints that the scanner is verified against on every change.

# Start the Fire Range (OctoRig required)
./octorig.sh start 7

# Run the full end-to-end test suite
pytest tests/test_firerange.py -v

→ Fire Range README

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Install from source

git clone https://github.com/CommonHuman-Lab/breachsql.git
cd breachsql
python3 -m venv .venv && source .venv/bin/activate
pip install -e .
pip install -e ".[dev]"   # + pytest, mypy, ruff

Requires Python 3.10+. No C extensions. On Kali and other Debian-based systems, the virtual env is required — system Python is externally managed.

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License

Licensed under the AGPLv3. You are free to use, modify, and distribute this software. If you run it as a service or distribute it, the source must remain open.

For commercial licensing, contact the author.