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BigBankLittleBankAdvanced.py

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+import os
+import requests
+from bs4 import BeautifulSoup
+
+class BigBankLittleBankAdvanced:
+    def __init__(self, target_url):
+        self.target_url = target_url
+        self.mirror_directory = "mirrored_site"
+
+    def mirror_site(self):
+        print("[*] Mirroring the website...")
+        os.system(f"wget --mirror --convert-links --adjust-extension --page-requisites --no-parent -P {self.mirror_directory} {self.target_url}")
+
+    def static_analysis(self):
+        # Python-specific with Bandit
+        print("[*] Running static code analysis with Bandit...")
+        result = os.popen(f"bandit -r {self.mirror_directory}").read()
+        print(result)
+
+        # Assuming SonarQube is pre-configured
+        print("[*] Running static code analysis with SonarQube...")
+        os.system(f"sonar-scanner -Dsonar.projectKey=BBLB -Dsonar.sources={self.mirror_directory}")
+
+    def dynamic_analysis(self):
+        print("[*] Running dynamic analysis with OWASP ZAP...")
+        # Placeholder. Replace with ZAP command or API call.
+
+    def sql_injection_check(self):
+        print("[*] Running SQLmap for potential SQL injection points...")
+        os.system(f"sqlmap -u {self.target_url} --batch")
+
+    def fuzz_test(self):
+        print("[*] Fuzz testing the website...")
+        # Placeholder. Replace with fuzzing logic or tool command.
+
+    def chat_with_gpt3(self, prompt_text):
+        OPENAI_API_URL = "https://api.openai.com/v2/engines/davinci/completions"
+        HEADERS = {
+            "Authorization": f"Bearer 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",
+            "Content-Type": "application/json",
+        }
+        data = {
+            "prompt": prompt_text,
+            "max_tokens": 150
+        }
+        response = requests.post(OPENAI_API_URL, headers=HEADERS, json=data)
+        message_content = response.json().get("choices")[0].get("text").strip()
+        return message_content
+
+    def fetch_cve_details(self, cve_id):
+        url = f"https://cve.mitre.org/cgi-bin/cvename.cgi?name={cve_id}"
+        response = requests.get(url)
+        soup = BeautifulSoup(response.content, "html.parser")
+        cve_summary = soup.find("div", {"id": "GeneratedTable"}).text.strip()
+        return cve_summary
+
+    def analyze_vulnerability(self, vulnerability_name):
+        gpt_response = self.chat_with_gpt3(f"Tell me more about {vulnerability_name} vulnerability.")
+        print(f"GPT-3 says: {gpt_response}")
+
+        if "CVE-" in gpt_response:
+            cve_id = gpt_response.split("CVE-")[1].split()[0]
+            cve_details = self.fetch_cve_details(cve_id)
+            print(f"CVE Details: {cve_details}")
+
+    def run(self):
+        self.mirror_site()
+        self.static_analysis()
+        self.dynamic_analysis()
+        self.sql_injection_check()
+        self.fuzz_test()
+        # As an example, we'll analyze a vulnerability called "SQL Injection"
+        # Replace with actual vulnerabilities found.
+        self.analyze_vulnerability("SQL Injection")
+
+if __name__ == "__main__":
+    target_url = input("Enter the target URL: ")
+    tool = BigBankLittleBankAdvanced(target_url)
+    tool.run()