sqlidps 1.2.2

A simple SQL-injection detector based on ML

sqlidps

SQL Injection - Detection and Prevention System

SQLIDPS is a tool designed to detect and prevent SQL injection attacks in web applications. SQL injection is a common attack vector that allows attackers to execute arbitrary SQL code on a database, potentially leading to data breaches and other security issues. This project aims to provide a robust solution for identifying and mitigating such vulnerabilities.

Flow Chart

The data flow in SQLIDPS illustrates how user inputs are processed to detect and prevent SQL injection attacks.
Below is a detailed visualization of the flow:

📚 For more detailed documentation, visit deepwiki docs.

🚀 Performance Benchmark

🛡️ SQL Injection Check Time: 0.8ms per input

Usage

SQLi.check(data)

Checks if the provided data contains potential SQLi payloads. Raises PotentialSQLiPayload if a malicious input is detected.

• Arguments:

  • data (str | list | dict): Input to be checked.

• Example:

from sqlidps import SQLi

try:
    SQLi.check("SELECT * FROM users WHERE '1'='1' --")
except PotentialSQLiPayload as e:
    print("Blocked:", e)

SQLi.parse(data: dict, error="potential payload") → dict

Parses a dictionary and replaces any malicious values with a safe error string instead of raising an exception.

• Arguments:

  • data (dict): Dictionary to scan.
  • error (str): Replacement string for detected payloads (default: "potential payload").

• Returns:

  • A cleaned dictionary with malicious values replaced.

• Example:

data = {
    "username": "admin",
    "password": "' OR '1'='1"
}

cleaned = SQLi.parse(data)
print(cleaned)
# Output: {'username': 'admin', 'password': 'potential payload'}

Installing

pip install sqlidps

Build from Source

cd sqlidps
pip install -r requirements.txt
flex -o sqlidps/lex.yy.c sqlidps/lexer.l
make sqlidps && make sqlidps clean
python sqlidps/train.py
pip install .