# AttackSurfaceMapper **Repository Path**: isdc_admin/AttackSurfaceMapper ## Basic Information - **Project Name**: AttackSurfaceMapper - **Description**: AttackSurfaceMapper is a tool that aims to automate the reconnaissance process. - **Primary Language**: Python - **License**: GPL-3.0 - **Default Branch**: master - **Homepage**: None - **GVP Project**: No ## Statistics - **Stars**: 0 - **Forks**: 0 - **Created**: 2020-09-04 - **Last Updated**: 2020-12-19 ## Categories & Tags **Categories**: Uncategorized **Tags**: None ## README ![alt text](https://img.shields.io/badge/Python-3_only-blue.svg "Python 3 only") ![GitHub](https://img.shields.io/github/license/superhedgy/AttackSurfaceMapper) ![GitHub last commit](https://img.shields.io/github/last-commit/superhedgy/AttackSurfaceMapper) ![Attack Surface Mapper Logo](https://npercoco.typepad.com/.a/6a0133f264aa62970b0240a49c6ba4200d-800wi "Attack Surface Mapper Logo") # AttackSurfaceMapper Attack Surface Mapper is a reconaissaince tool that uses a mixture of open source intellgence and active techniques to expand the attack surface of your target. You feed in a mixture of one or more domains, subdomains and IP addresses and it uses numerous techniques to find more targets. It enumerates subdomains with bruteforcing and passive lookups, Other IPs of the same network block owner, IPs that have multiple domain names pointing to them and so on. Once the target list is fully expanded it performs passive reconissence on them, taking screenshots of websites, generating visual maps, looking up credentials in public breaches, passive port scanning with Shodan and scraping employees from LinkedIn. ## Demo [![Alt text](https://img.youtube.com/vi/buIQSf_gmdE/0.jpg)](https://www.youtube.com/watch?v=buIQSf_gmdE) ## Getting Started These instructions will show you the requirements for and how to use Attack Surface Mapper. ## Setup As this is a Python based tool, it should theoretically run on Linux, ChromeOS ([Developer Mode](https://www.chromium.org/chromium-os/developer-information-for-chrome-os-devices/generic)), macOS and Windows. [1] Download AttackSurfaceMapper ``` $ git clone https://github.com/superhedgy/AttackSurfaceMapper ``` [2] Install Python dependencies ``` $ cd AttackSurfaceMapper $ python3 -m pip install --no-cache-dir -r requirements.txt ``` [3] Add optional API keys to enable more data gathering ``` $ nano keylist.asm ``` ### Optional Parameters Additional optional parameters can also be set to choose to include active reconnaissance modules in addition to the default passive modules. ``` |<------ AttackSurfaceMapper - Help Page ------>| positional arguments: targets Sets the path of the target IPs file. optional arguments: -h, --help show this help message and exit -f FORMAT, --format FORMAT Choose between CSV and TXT output file formats. -o OUTPUT, --output OUTPUT Sets the path of the output file. -sc, --screen-capture Capture a screen shot of any associated Web Applications. -sth, --stealth Passive mode allows reconaissaince using OSINT techniques only. -t TARGET, --target TARGET Set a single target IP. -V, --version Displays the current version. -w WORDLIST, --wordlist WORDLIST Specify a list of subdomains. -sw SUBWORDLIST, --subwordlist SUBWORDLIST Specify a list of child subdomains. -e, --expand Expand the target list recursively. -ln, --linkedinner Extracts emails and employees details from linkedin. -v, --verbose Verbose ouput in the terminal window. Authors: Andreas Georgiou (@superhedgy) Jacob Wilkin (@greenwolf) ``` ### Example run command ``` $ python3 ASM.py -t your.site.com -ln -w resources/top100_sublist.txt -o demo_run ``` ## Authors * [Andreas Georgiou](https://twitter.com/superhedgy) * [Jacob Wilkin](https://github.com/Greenwolf) ## Acknowledgments * Thanks to `[Your Name Could Be Here, Come Help Out!]` for contributions to the project.