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week9's Introduction

Week 9 Project - Honeypot

Objective: To create and execute basic honeypots and demonstrate their effectiveness at detecting and collecting data about the attacks. Low- and medium-interaction honeypots were used, allowing worms or attackers to interact with the system. Interactions were then captured for analysis and data was captured in a json file.

Deployed Honeypots

  • Honeypot-1 Dionaea with Http: used to detect shellcodes, supporting ipv6 and tls. Protocols include blackhole; epmap; ftp; http; memcache; mirror; mqtt; mssql; mysql; pptp; sip; smb; tftp; upnp.
  • Honeypot-2 Shockpot Sinkhole: web application honeypot designed to find attackers attempting to exploit the Bash remote code vulnerability.
  • Honeypot-3 ElasticHoney: simple elasticsearch honeypot designed to catch attackers exploiting remote code execution (RCE) vulnerabilities in elasticsearch
  • Honeypot-4 Amun: python-based low-interaction honeypot, following the concepts of Nepenthes but extending it with more sophisticated emulation and easier maintenance.
  • Honeypot-5 Snort: used as a simple sniffer or packet logger to monitor attacker activity and as an intrusion prevention system (IPS) to control outgoing packets from a honeypot/honeynet and nullify attacker attempts.
  • Honeypot-6 Kippo: medium-interaction SSH honeypot written in Python and is used to log brute force attacks and the entire shell interaction performed by an attacker.

Issues

  • Deployed the honeypots and checked on their status daily; however, on Day 4, when I attempted to log in to the virtual machine running Modern Honey Network (MHN), the response from the server was "504 Gateway Time Out nginx/1.4.6 (Ubuntu)". After researching the error, the troubleshooting revealed the problem being significant network traffic which caused the timeout. Chose a different location, network to conduct my analysis.
  • After reviewing resource allocation using the Google Cloud Console, the dashboard reported Honeypot-1 Dionaea with Http: Instance is overutilized. Consider switching to the machine type: g1-small (1 vCPU, 1.7 GB memory). This update would require and additional subscription fee, but the features that Google provides in the console are extremely informative.
  • Attempting to retrieve the json records via GPC using the following command PS C:> gcloud compute ssh mhn-admin --command="mongoexport --db mnemosyne --collection session > session.json", the command errored with the following output ERROR: (gcloud.compute.ssh) unrecognized arguments: --db mnemosyne --collection (did you mean '--project'?) session -- Ran mongoexport directly within the virtual machine and then retrieved the file using gcloud compute scp mhn-admin through the Powershell on the local machine.

Summary of Data Collected

  • Real-time Attack Locater:

  • Number of Attacks: -- Honeypot-1 Dionaea 7,624 -- Honeypot-2 Shockpot Sinkhole 36 -- Honeypot-3 ElasticHoney 9 -- Honeypot-4 Amun 8,969 -- Honeypot-5 Snort 1,917 -- Honeypot-6 Kippo 1,039

  • Attack Statistics:

  • Top Passwords:

  • Top User Name:

  • Top User Name/Password:

  • Top Attackers:

  • Number of Malware Samples: None achieved during collection period

  • Unresolved Questions: None at this time.

Session.json: (https://github.com/Shaimice/Week9/blob/master/session.json)

Source:

week9's People

Contributors

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