SqliSniper is a robust Python tool designed to detect time-based blind SQL injections in HTTP request headers.
It enhances the security assessment process by rapidly scanning and identifying potential vulnerabilities using multi-threaded, ensuring speed and efficiency.
Unlike other scanners, SqliSniper is designed to eliminates false positives through and send alerts upon detection, with the built-in Discord notification functionality.
git clone https://github.com/danialhalo/SqliSniper.git
cd SqliSniper
chmod +x sqlisniper.py
pip3 install -r requirements.txt
This will display help for the tool. Here are all the options it supports.
ubuntu:~/sqlisniper$ ./sqlisniper.py -h
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╚══════╝ ╚══▀▀═╝ ╚══════╝╚═╝ ╚══════╝╚═╝ ╚═══╝╚═╝╚═╝ ╚══════╝╚═╝ ╚═╝
-: By Muhammad Danial :-
usage: sqlisniper.py [-h] [-u URL] [-r URLS_FILE] [-p] [--proxy PROXY] [--payload PAYLOAD] [--single-payload SINGLE_PAYLOAD] [--discord DISCORD] [--headers HEADERS]
[--threads THREADS]
Detect SQL injection by sending malicious queries
options:
-h, --help show this help message and exit
-u URL, --url URL Single URL for the target
-r URLS_FILE, --urls_file URLS_FILE
File containing a list of URLs
-p, --pipeline Read from pipeline
--proxy PROXY Proxy for intercepting requests (e.g., http://127.0.0.1:8080)
--payload PAYLOAD File containing malicious payloads (default is payloads.txt)
--single-payload SINGLE_PAYLOAD
Single payload for testing
--discord DISCORD Discord Webhook URL
--headers HEADERS File containing headers (default is headers.txt)
--threads THREADS Number of threads
The url can be provided with -u flag
for single site scan
./sqlisniper.py -u http://example.com
The -r flag
allows SqliSniper to read a file containing multiple URLs for simultaneous scanning.
./sqlisniper.py -r url.txt
The SqliSniper can also worked with the pipeline input with -p flag
cat url.txt | ./sqlisniper.py -p
The pipeline feature facilitates seamless integration with other tools. For instance, you can utilize tools like subfinder and httpx, and then pipe their output to SqliSniper for mass scanning.
subfinder -silent -d google.com | sort -u | httpx -silent | ./sqlisniper.py -p
For more information click here
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