xtawb

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3	✵ Wait for a new tool!	0
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5	🚀 How to Use This Code on Shodan (Step-by-Step Guide) 1️⃣ Go to Shodan: shodan.io and log in. 2️⃣ Search for anything (e.g., port:21 "220" "230 Login successful." country:"US"). 3️⃣ Once the results appear, press F12 to open Developer Tools. 4️⃣ Navigate to the Console tab. 5️⃣ Type allow pasting, then copy and paste the JavaScript code into the Console. 6️⃣ Press Enter to execute the script. 7️⃣ A file named ips.txt will be automatically downloaded, containing all extracted IP addresses. 🔍 Why Is This Code Useful? ✅ Extracts all IP addresses dynamically from the webpage. ✅ Works on any website (not just Shodan). ✅ Removes duplicate IPs automatically. ✅ Generates and saves the file automatically—no manual copying required! 📌 Example Output [] Number of IPs to scan: 3 [+] Server: 192.168.1.1 [+] Root Login Successful! Directory Tree: ├── public_html │ ├── index.html │ └── config.php └── logs └── access.log [+] Server: 192.168.1.2 [+] Anonymous Login Successful! Directory Tree: ├── pub │ └── README.txt └── secret └── credentials.txt [] Scan completed! [+] Successful logins: 2 [-] Failed logins: 1 [+] Successful IPs saved to successful_ips.txt [+] Report saved to ftp_report.csv 🔑 Sensitive Keywords Detected The tool identifies files containing sensitive keywords such as: password \| config \| backup \| secret \| .sql \| .env \| .png \| .jpg \| .mp3 \| .mp4 \| credentials (You can modify the sensitive_keywords list in the script to add or remove keywords). ⚙️ Requirements Python 3.x No external libraries required. 📩 Contact 💡 Have any questions or suggestions? Feel free to reach out! 🔗 Useful Links 🌍 Contact: linktr.ee/xtawb 🐙 GitHub: github.com/xtawb 🔥 Enjoy using FTP Hunter, and if you find it useful, don’t forget to give it a ⭐ on GitHub! 💻 Happy Hacking! 👾	0
6	🚀 How to Use This Code on Shodan (Step-by-Step Guide) 1️⃣ Go to Shodan: shodan.io and log in. 2️⃣ Search for anything (e.g., port:21 "220" "230 Login successful." country:"US"). 3️⃣ Once the results appear, press F12 to open Developer Tools. 4️⃣ Navigate to the Console tab. 5️⃣ Type allow pasting, then copy and paste the JavaScript code into the Console. 6️⃣ Press Enter to execute the script. 7️⃣ A file named ips.txt will be automatically downloaded, containing all extracted IP addresses. 🔍 Why Is This Code Useful? ✅ Extracts all IP addresses dynamically from the webpage. ✅ Works on any website (not just Shodan). ✅ Removes duplicate IPs automatically. ✅ Generates and saves the file automatically—no manual copying required! 📌 Example Output [] Number of IPs to scan: 3 [+] Server: 192.168.1.1 [+] Root Login Successful! Directory Tree: ├── public_html │ ├── index.html │ └── config.php └── logs └── access.log [+] Server: 192.168.1.2 [+] Anonymous Login Successful! Directory Tree: ├── pub │ └── README.txt └── secret └── credentials.txt [] Scan completed! [+] Successful logins: 2 [-] Failed logins: 1 [+] Successful IPs saved to successful_ips.txt [+] Report saved to ftp_report.csv 🔑 Sensitive Keywords Detected The tool identifies files containing sensitive keywords such as: password \| config \| backup \| secret \| .sql \| .env \| .png \| .jpg \| .mp3 \| .mp4 \| credentials (You can modify the sensitive_keywords list in the script to add or remove keywords). ⚙️ Requirements Python 3.x No external libraries required. 📩 Contact 💡 Have any questions or suggestions? Feel free to reach out! 🔗 Useful Links 🌍 Contact: linktr.ee/xtawb 🐙 GitHub: github.com/xtawb 🔥 Enjoy using FTP Hunter, and if you find it useful, don’t forget to give it a ⭐ on GitHub! 💻 Happy Hacking! 👾	0
7	🚀 How to Use This Code on Shodan (Step-by-Step Guide) 1️⃣ Go to Shodan: shodan.io and log in. 2️⃣ Search for anything (e.g., port:21 "220" "230 Login successful." country:"US"). 3️⃣ Once the results appear, press F12 to open Developer Tools. 4️⃣ Navigate to the Console tab. 5️⃣ Type allow pasting, then copy and paste the JavaScript code into the Console. 6️⃣ Press Enter to execute the script. 7️⃣ A file named ips.txt will be automatically downloaded, containing all extracted IP addresses. 🔍 Why Is This Code Useful? ✅ Extracts all IP addresses dynamically from the webpage. ✅ Works on any website (not just Shodan). ✅ Removes duplicate IPs automatically. ✅ Generates and saves the file automatically—no manual copying required! 📌 Example Output [] Number of IPs to scan: 3 [+] Server: 192.168.1.1 [+] Root Login Successful! Directory Tree: ├── public_html │ ├── index.html │ └── config.php └── logs └── access.log [+] Server: 192.168.1.2 [+] Anonymous Login Successful! Directory Tree: ├── pub │ └── README.txt └── secret └── credentials.txt [] Scan completed! [+] Successful logins: 2 [-] Failed logins: 1 [+] Successful IPs saved to successful_ips.txt [+] Report saved to ftp_report.csv 🔑 Sensitive Keywords Detected The tool identifies files containing sensitive keywords such as: password \| config \| backup \| secret \| .sql \| .env \| .png \| .jpg \| .mp3 \| .mp4 \| credentials (You can modify the sensitive_keywords list in the script to add or remove keywords). ⚙️ Requirements Python 3.x No external libraries required. 📩 Contact 💡 Have any questions or suggestions? Feel free to reach out! 🔗 Useful Links 🌍 Contact: linktr.ee/xtawb 🐙 GitHub: github.com/xtawb 🔥 Enjoy using FTP Hunter, and if you find it useful, don’t forget to give it a ⭐ on GitHub! 💻 Happy Hacking! 👾	0
8	How to Use This Code on Shodan (Step-by-Step Guide) 1️⃣ Go to Shodan: shodan.io and log in. 2️⃣ Search for anything (e.g., port:21 "220" "230 Login successful." country:"US"). 3️⃣ Once the results appear, press F12 to open Developer Tools. 4️⃣ Navigate to the Console tab. 5️⃣ Type allow pasting, then copy and paste the JavaScript code into the Console. 6️⃣ Press Enter to execute the script. 7️⃣ A file named ips.txt will be automatically downloaded, containing all extracted IP addresses. 🔍 Why Is This Code Useful? ✅ Extracts all IP addresses dynamically from the webpage. ✅ Works on any website (not just Shodan). ✅ Removes duplicate IPs automatically. ✅ Generates and saves the file automatically—no manual copying required! 📌 Example Output [] Number of IPs to scan: 3 [+] Server: 192.168.1.1 [+] Root Login Successful! Directory Tree: ├── public_html │ ├── index.html │ └── config.php └── logs └── access.log [+] Server: 192.168.1.2 [+] Anonymous Login Successful! Directory Tree: ├── pub │ └── README.txt └── secret └── credentials.txt [] Scan completed! [+] Successful logins: 2 [-] Failed logins: 1 [+] Successful IPs saved to `successful_ips.txt` [+] Report saved to `ftp_report.csv` 🔑 Sensitive Keywords Detected The tool identifies files containing sensitive keywords such as: password \| config \| backup \| secret \| .sql \| .env \| .png \| .jpg \| .mp3 \| .mp4 \| credentials (You can modify the sensitive_keywords list in the script to add or remove keywords). ⚙️ Requirements Python 3.x No external libraries required. 📩 Contact Have any questions or suggestions? Feel free to reach out! 🔗 Useful Links Contact: linktr.ee/xtawb GitHub: github.com/xtawb Enjoy using FTP Hunter, and if you find it useful, don’t forget to give it a ⭐ on GitHub! 💻 Happy Hacking!	0
9	How to Use This Code on Shodan (Step-by-Step Guide) 1️⃣ Go to Shodan : https://www.shodan.io/ and log in to your account. 2️⃣ Search for anything (e.g., port:21 "220" "230 Login successful." country:"US".). 3️⃣ Once the results are displayed, press F12 to open Developer Tools. 4️⃣ Go to the Console tab. 5️⃣ Type allow pasting and Copy and paste the JavaScript code above into the Console. 6️⃣ Press Enter to execute the script. 7️⃣ A file named ips.txt will be automatically downloaded, containing all IP addresses found on the page. Why This Code is Useful?l? Extracts all IP addresses dynamicallyly from the entire webpage. Works on any websitete (not just Shodan). Filters out duplicate IPsPs automatically. Generates and downloads the file automaticallyly—no manual copying requiredExample OutpututScan Resultsts [] Number of IPs to scan: 3 [+] Server: 192.168.1.1 [+] Root Login Successful! Directory Tree: ├── public_html │ ├── index.html │ └── config.php └── logs └── access.log [+] Server: 192.168.1.2 [+] Anonymous Login Successful! Directory Tree: ├── pub │ └── README.txt └── secret └── credentials.txt [] Scan completed! [+] Successful logins: 2 [-] Failed logins: 1 [+] Successful IPs saved to successful_ips.txt [+] Report saved to ftp_report.csv Keywords The tool highlights files that match the following sensitive keywords: - password - config - backup - secret - .sql - .env - .png - .jpg - .mp3 - .mp4 - credentials You can modify the sensitive_keywords list in the script to add or remove keywRequirementsements - Python 3.x - No external libraries requContactontact For any questions or suggestions, feel free to reach Contact:ntact: https://linktr.ee/GitHub:itHub: https://github.com/xtawb EnjoFTP HunterHunter**! If you find it useful, consider giving it a ⭐ on GitHub! Happy Hacking!	0
10	2️⃣ Search for anything (e.g., port:21 "220" "230 Login successful." country:"US".). 3️⃣ Once the results are displayed, press F12 to open Developer Tools. 4️⃣ Go to the Console tab. 5️⃣ Type allow pasting and Copy and paste the JavaScript code above into the Console. 6️⃣ Press Enter to execute the script. 7️⃣ A file named ips.txt will be automatically downloaded, containing all IP addresses found on the page. Why This Code is Useful?l? Extracts all IP addresses dynamicallyly from the entire webpage. Works on any websitete (not just Shodan). Filters out duplicate IPsPs automatically. Generates and downloads the file automaticallyly—no manual copying requiredExample OutpututScan Resultsts [] Number of IPs to scan: 3 [+] Server: 192.168.1.1 [+] Root Login Successful! Directory Tree: ├── public_html │ ├── index.html │ └── config.php └── logs └── access.log [+] Server: 192.168.1.2 [+] Anonymous Login Successful! Directory Tree: ├── pub │ └── README.txt └── secret └── credentials.txt [] Scan completed! [+] Successful logins: 2 [-] Failed logins: 1 [+] Successful IPs saved to successful_ips.txt [+] Report saved to ftp_report.csv Keywords The tool highlights files that match the following sensitive keywords: - password - config - backup - secret - .sql - .env - .png - .jpg - .mp3 - .mp4 - credentials You can modify the sensitive_keywords list in the script to add or remove keywRequirementsements - Python 3.x - No external libraries requContactontact For any questions or suggestions, feel free to reach Contact:ntact: https://linktr.ee/GitHub:itHub: https://github.com/xtawb EnjoFTP HunterHunter**! If you find it useful, consider giving it a ⭐ on GitHub! Happy Hacking!	0
11	FTP Hunter: The Ultimate FTP Scanning Tool What is FTP Hunter? FTP Hunter is a powerful and efficient tool designed for scanning FTP servers and detecting sensitive files. It provides a detailed directory tree of the FTP server and highlights potentially sensitive files based on predefined keywords. The tool supports both root and anonymous logins and can handle multiple IP addresses concurrently using multi-threading. Key Features - FTP Server Scanning: Scan FTP servers for directory structures and files. - Sensitive File Detection: Highlight files that match predefined sensitive keywords (e.g., password, config, backup, etc.). - Multi-Threading: Scan multiple IP addresses concurrently for faster results. - Interactive Interface: User-friendly interface with colored output for better readability. - Report Generation: Save scan results in CSV format for further analysis. - Dynamic IP Input: Users can specify the path to a file containing IP addresses to scan. Installation No external libraries are required to run FTP Hunter. It uses Python's standard libraries. Simply clone the repository or download the script. git clone https://github.com/xtawb/FTP-Hunter.git cd FTP-Hunter Usage Step 1: Prepare the IP List Create a file named ips.txt (or any name you prefer) and add the IP addresses you want to scan, one per line. Example ips.txt: 192.168.1.1 192.168.1.2 192.168.1.3 Alternatively, you can extract IP addresses from a webpage (e.g., Shodan) using the JavaScript code provided below. Step 2: Run the Tool Execute the script using Python 3. python3 FTP-Hunter.py Step 3: Enter the Path to the IP File When prompted, enter the path to your ips.txt file (or the file containing the IP addresses). Enter the path to the IPs file (e.g., ips.txt): ips.txt Step 4: View Results The tool will display the directory tree of each FTP server it successfully logs into. Sensitive files will be highlighted in red. Step 5: Generated Files - successful_ips.txt: Contains a list of IP addresses where the login was successful. - ftp_report.csv: Contains a detailed report of the scan, including the IP address, login type, directory tree, and timestamp. Extracting IP Addresses from Shodan You can use the following JavaScript code to extract all IP addresses from a webpage (e.g., Shodan) and download them as a text file (ips.txt). JavaScript Code to Extract All IP Addresses from a Webpage and Download Them as ips.txt This script scans an entire webpage any IP address and then n downloads them as a text file (ips.txt)JavaScript Code: Code: // Extract all text content from the webpage let pageText = document.body.innerText; // Regular expression to find all IP addresses let ipRegex = /\b(?:\d{1,3}\.){3}\d{1,3}\b/g; let ips = pageText.match(ipRegex) \|\| []; // Get all matches or return an empty array if no IPs are found // Remove duplicate IPs ips = [...new Set(ips)]; // Check if any IPs were found if (ips.length === 0) { console.error("❌ No IP addresses found on this page!"); } else { // Convert the IP list to a text file let blob = new Blob([ips.join("\n")], { type: "text/plain" }); // Create a download link let a = document.createElement("a"); a.href = URL.createObjectURL(blob); a.download = "ips.txt"; // Filename document.body.appendChild(a); a.click(); document.body.removeChild(a); console.log("✅ File 'ips.txt' has been downloaded successfully! It contains " + ips.length + " IP addresses."); }	0
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17	FTP-Hunter?	0
18	ShadowWolf - Real-Time Internal Network Sentinel 🐺 Hello everyone, I’m thrilled to introduce Shadowolf, my latest open-source tool designed for red teams and cybersecurity professionals to perform real-time internal network reconnaissance and vulnerability assessments! This project aims to simplify network security audits and make them accessible to everyone. You can access the tool and try it yourself from the GitHub repository: https://github.com/xtawb/Shadowolf Key Features 1. Real-Time Network Mapping: - Lightning-fast ARP scanning (1000+ devices per second). - MAC address vendor identification (6000+ OUI database). - Layer 2/3 topology visualization for better network understanding. 2. Advanced Vulnerability Assessment: - CVE-based vulnerability detection (e.g., CVE-2023-XXXX, CVE-2022-XXXX). - Severity classification (Critical/High/Medium/Low). - Detection of weak configurations (default SSH/FTP credentials). 3. OS Fingerprinting: - Accurate OS detection (Windows/Linux/macOS/Embedded systems). - Service version enumeration (HTTP/SMB/SQL). 4. Automated Reporting: - Detailed PDF reports with color-coded findings. - Executive summaries and technical details. - Risk prioritization matrix for quick decision-making. 5. Stealth Mode: - Randomized scan timing to evade IDS/IPS detection. - Fully offline operation with no external dependencies. Vulnerabilities Detected by Shadowolf - Critical and High-Severity Vulnerabilities: - Detected using Nmap scripts and CVE databases. - Examples: PrintNightmare (CVE-2021-34527), EternalBlue (CVE-2017-0144). - Weak Configurations: - Default or weak credentials for SSH, FTP, and other services. - Open shares and misconfigured services. - Network Misconfigurations: - Unsecured devices and open ports. - Outdated software and services. Output Structure After the scan completes, a folder named ShadowWolf_Scan_Date is created, containing: - live_devices.txt: List of active devices with MAC addresses and vendors. - vulnerability_report.txt: Detailed report of detected vulnerabilities. - os_fingerprint.txt: List of detected operating systems. - weak_devices.txt: Devices with weak configurations. - final_report.pdf: Consolidated PDF report with all findings. How to Run 1. Ensure Python 3.8+, Git, and Pip are installed. 2. Download and run the tool: git clone https://github.com/xtawb/Shadowolf.git cd Shadowolf pip3 install --break-system-packages -r requirements.txt python3 Shadowolf.py [TARGET] [OPTIONS] --output [REPORT_NAME.pdf] 3. Follow the on-screen instructions: - Choose between ARP scan, OS fingerprinting, vulnerability assessment, or a full network audit. - Wait for the scan to complete (time depends on network size). Important Notes - The tool requires sudo/root privileges for ARP scanning and OS fingerprinting. - It is recommended to use it in a testing environment (e.g., Kali Linux) to avoid conflicts. - Ensure you have proper authorization before scanning any network. Call for Contributions This is my first release of ShadowWolf, and I welcome any feedback or contributions to improve it! You can: - Open an Issue on GitHub to report bugs or suggest features. - Share the results you obtained. - Support the project by giving it a star ⭐ on the repository: https://github.com/xtawb/Shadowolf Contact Feel free to reach out to me via: @xtawb OR https://linktr.ee/xtawb ShadowWolf is a personal project aimed at enhancing network security, and I hope it proves to be a useful tool for you. Happy Hacking!	0
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