SickNerd
CLI tool for making Google Dorking a passive recon experience. SickNerd aims to slowly enumerate Google Dorks via the googlesearch API then requests found pages for metadata. By default it sleeps between queries, randomizes user-agent, retries 429 and failed requests recursively, and prints output after each query. Validation requests can be done after to grab metadata.
SickNerd comes with a default list of dorks aimed at finding sensitive files but accepts input files and can fetch dorks from GHDB. Dorks taken from GHDB can be filtered down by tags and year of creation. Multiple domains can be dorked at once and dorks are run at random.
Getting Started
Usage
sicknerd.py -h
usage: sicknerd.py [-h] [-i INPUT] [-o OUTPUT] [-f FETCH | -d DORKS] [-p] [-q]
[-y YEARS] [-m MAX]
CLI tool for making Google Dorking a passive recon experience
optional arguments:
-h, --help show this help message and exit
-i INPUT, --input INPUT
Input list of domains (no subdomains).
-o OUTPUT, --output OUTPUT
Prints CSV files to directory. The default is cwd.
-f FETCH, --fetch FETCH
Fetches lists of dorks from GHDB. Accepts one of the
following: all, footholds, dir, web, files, servers,
errors, juicy, passwords, shopping, login, devices,
vulns (optional)
-d DORKS, --dorks DORKS
List of Dorks to test (optional)
-p, --passive Skip the validation requests and only do passive
checks.
-q, --quiet Hides banner
-y YEARS, --years YEARS
Number of years to fetch dorks from. Default is 2.
-m MAX, --max MAX Max number of results per query. Default is 30.
Process finished with exit code 0
Take a list of domains and google dork them.
sicknerd.py -i domains.txt
cat domains.txt | sicknerd.py
Skip requesting each URL and only do passive checks.
cat domains.txt | sicknerd.py -p
Use another list of dorks instead of the defaults
cat domains.txt | sicknerd.py -d dorks.txt
Only do passive checks, use another list of dorks, and change output directory
sicknerd.py -i domains.txt -d dorks.txt -p -o ./dork-out/
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▐█ ▀. ██ ▐█ ▌▪█▌▄▌▪•█▌▐█▀▄.▀·▀▄ █·██▪ ██
▄▀▀▀█▄▐█·██ ▄▄▐▀▀▄·▐█▐▐▌▐▀▀▪▄▐▀▀▄ ▐█· ▐█▌
▐█▄▪▐█▐█▌▐███▌▐█.█▌██▐█▌▐█▄▄▌▐█•█▌██. ██
▀▀▀▀ ▀▀▀·▀▀▀ ·▀ ▀▀▀ █▪ ▀▀▀ .▀ ▀▀▀▀▀▀•
Loaded 3 dorks...
[*] Starting searches...
Max 30 results per query
Found 3 results from site:apple.com filetype:txt
Found 1 results from site:cia.gov filetype:txt
Found 1 results from site:fbi.gov filetype:txt
Found 30 results from site:apple.com inurl:admin
Found 0 results from site:cia.gov inurl:admin
Found 0 results from site:fbi.gov inurl:admin
Found 30 results from site:apple.com filetype:pdf
Found 30 results from site:cia.gov filetype:pdf
Found 30 results from site:fbi.gov filetype:pdf
Found 0 results from site:apple.com db_password filetype:env
Found 0 results from site:cia.gov db_password filetype:env
Found 0 results from site:fbi.gov db_password filetype:env
[*] Validating results...
Writing 125 results to file
Fetch dorks from Google Hacking Database and run vuln dorks from the past two years with max 20 results per query.
sicknerd.py -i urls.txt -f vulns -y 2 -m 20
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▐█ ▀. ██ ▐█ ▌▪█▌▄▌▪•█▌▐█▀▄.▀·▀▄ █·██▪ ██
▄▀▀▀█▄▐█·██ ▄▄▐▀▀▄·▐█▐▐▌▐▀▀▪▄▐▀▀▄ ▐█· ▐█▌
▐█▄▪▐█▐█▌▐███▌▐█.█▌██▐█▌▐█▄▄▌▐█•█▌██. ██
▀▀▀▀ ▀▀▀·▀▀▀ ·▀ ▀▀▀ █▪ ▀▀▀ .▀ ▀▀▀▀▀▀•
Requesting data from https://www.exploit-db.com/google-hacking-database...
Searching for vulns dorks from the past 2 years...
Loaded 214 dorks...
[*] Starting searches...
Max 20 results per query
Found 0 results from site:apple.com inurl:wp-content/plugins/final-tiles-grid-gallery-lite
Found 0 results from site:cia.gov inurl:wp-content/plugins/final-tiles-grid-gallery-lite
Found 0 results from site:fbi.gov inurl:wp-content/plugins/final-tiles-grid-gallery-lite
[*] CTRL + C pressed! Starting validation then writing output...
[*] Validating results...
Writing 0 results to file
Writing 0 results to file
Install
SickNerd works on Windows and *Nix systems and requires Python.
git clone
pip install -r requirements.txt
Output
The -o flag is used to direct the CSV output file to a directory. Output file is comma seperated.
cat sicknerd-output.csv | csvtomd
sicknerd-output.csv
| QUERY | URL | HTTP CODE | TITLE | CONTENT LENGTH |
|---|---|---|---|---|
| Dork searched | URL result from Dork | HTTP Code of request | HTTP Title | Content length of HTTP request |
8 Oct 13, 2022
11 Nov 25, 2022
3 Aug 26, 2022
12 Oct 27, 2022
1 Jan 31, 2022
36 Nov 22, 2022
12 Sep 20, 2022
52 Dec 6, 2022
9 Sep 15, 2022
5 Aug 28, 2022
36 Nov 04, 2022
28 Dec 12, 2022
101 Dec 01, 2022
6 May 30, 2022
244 Nov 30, 2022
1 Jan 20, 2022
173 Nov 10, 2022
1.4k Jan 03, 2023
1 Oct 13, 2022
1.2k Jan 01, 2023
2 Sep 14, 2021
41 Jun 24, 2022
8 Nov 08, 2021
1 Nov 13, 2021
2 Nov 10, 2021
8.9k Dec 31, 2022
21 Nov 06, 2022
24 Dec 29, 2022
69 Dec 17, 2022