Target categorization tool for web application penetration testing
pip install -r requirements.txt
ptcategory -f ./dataset-test.csv # Load dataset (CSV)
ptcategory -f ./dataset-test.csv -e # Load dataset only for clustering
-f --file <file> Load dataset (CSV)
-e --evaluation-only Run only evaluation on already created dataset
-j --json Output in JSON format
-v --version Show script version and exit
-h --help Show this help message and exit
-m --clustering-method Clustering method to use. Default: kmeans. Available: mean_shift, optics, spectral_clustering, gaussian_mixture, dbscan, birch, affinity_propagation, agglomerative_clustering, kmeans, kmeans_mini_batch, manual_clustering
- beautifulsoup4
- halo
- kneed
- matplotlib
- numpy
- pandas
- ptlibs
- ptthreads
- requests
- scikit_learn
- tldextract
- tqdm
- lxml
We use ExifTool to extract metadata. Python 3.6+ is required.
- 0.0.1
- Alpha releases
Copyright (c) 2022 Penterep Security s.r.o.
ptcategory is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version.
ptcategory is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details.
You should have received a copy of the GNU General Public License along with ptcategory. If not, see https://www.gnu.org/licenses/.
You are only allowed to run the tool against the websites which you have been given permission to pentest. We do not accept any responsibility for any damage/harm that this application causes to your computer, or your network. Penterep is not responsible for any illegal or malicious use of this code. Be Ethical!