Create a basic AI-powered vulnerability scanner using scikit-learn and TensorFlow
with open("PenTestingSoftware/src/ai_scanner.py", "w") as f:
f.write("""
import pandas as pd
from sklearn.ensemble import RandomForestClassifier
from tensorflow.keras.models import Sequential
from tensorflow.keras.layers import Dense
import os import git import requests from github import Github
Set up GitHub API credentials
GITHUB_TOKEN = "YOUR_GITHUB_TOKEN" GITHUB_USERNAME = "YOUR_GITHUB_USERNAME"
Create a new GitHub repository
github = Github(GITHUB_TOKEN) repo = github.get_user().create_repo("PenTestingSoftware")
Create a new directory for the repository
os.makedirs("PenTestingSoftware", exist_ok=True)
Initialize a new Git repository
git_repo = git.Repo.init("PenTestingSoftware")
Create a new branch for development
git_repo.create_head("dev")
Create a basic directory structure for the software package
os.makedirs("PenTestingSoftware/src", exist_ok=True) os.makedirs("PenTestingSoftware/tests", exist_ok=True) os.makedirs("PenTestingSoftware/docs", exist_ok=True)
Create a basic
__init__.py
filewith open("PenTestingSoftware/src/init.py", "w") as f: f.write("# This is the main package for the PenTestingSoftware")
Create a basic
main.py
filewith open("PenTestingSoftware/src/main.py", "w") as f: f.write(""" import os import sys
def main(): print("Welcome to PenTestingSoftware!")
if name == "main": main() """)
Create a basic
requirements.txt
filewith open("PenTestingSoftware/requirements.txt", "w") as f: f.write(""" nmap nessus openvas metasploit-framework """)
Create a basic
README.md
filewith open("PenTestingSoftware/README.md", "w") as f: f.write("""
PenTestingSoftware
A comprehensive penetration testing software package.
Features
Getting Started
pip install -r requirements.txt
python src/main.py
Contributing
Contributions are welcome! Please submit pull requests to the
dev
branch. """)Create a new issue for the repository
issue = repo.create_issue("Initial Setup", "Set up the basic structure for the PenTestingSoftware package")
Create a new pull request for the repository
pr = repo.create_pull_request("Initial Commit", "dev", "main", "Initial commit of the PenTestingSoftware package")
Publish the package to PyPI (you'll need to set up your PyPI credentials)
os.system("python setup.py sdist bdist_wheel") os.system("twine upload dist/*")
Create a basic AI-powered vulnerability scanner using scikit-learn and TensorFlow
with open("PenTestingSoftware/src/ai_scanner.py", "w") as f: f.write(""" import pandas as pd from sklearn.ensemble import RandomForestClassifier from tensorflow.keras.models import Sequential from tensorflow.keras.layers import Dense
class AIScanner: def init(self): self.model = Sequential() self.model.add(Dense(64, activation='relu', input_shape=(10,))) self.model.add(Dense(32, activation='relu')) self.model.add(Dense(8, activation='softmax')) self.model.compile(optimizer='adam', loss='categorical_crossentropy', metrics=['accuracy'])
ai_scanner = AIScanner()
Load the vulnerability dataset (you'll need to create or obtain a dataset)
data = pd.read_csv("vulnerability_dataset.csv")
Train the AI model
ai_scanner.train(data)
Use the AI model to predict vulnerabilities
predictions = ai_scanner.predict(data) """)
print("PenTestingSoftware package created!") print("Repository URL:", repo.html_url) print("Issue URL:", issue.html_url) print("Pull Request URL:", pr.html_url)