SSHHiPot alternatives
Looking for an alternative tool to replace SSHHiPot? During the review of SSHHiPot we looked at other open source tools. Based on their category, tags, and text, these are the ones that have the best match.
Alternatives (by score)
Cowrie
Introduction
Cowrie is a honeypot to emulate SSH and telnet services. It can be used to learn attack methods and as an additional layer for security monitoring.Project details
Cowrie is written in Python.
Strengths and weaknesses
- + More than 50 contributors
- + More than 1000 GitHub stars
Typical usage
- Information gathering
- Learning
- Security monitoring
- Threat discovery
Dockpot
Introduction
Using an SSH honeypot is a good way to learn about common attacks on the SSH service. It can provide insights on the number of scans and probes on the network.
Project details
Dockpot is written in Python.
Strengths and weaknesses
- + The source code of this software is available
- - No releases on GitHub available
Typical usage
- Learning
- Threat discovery
HonSSH
Introduction
HonSSH is a high-interaction SSH honeypot to collect information about attackers that target the SSH service.Project details
HonSSH is written in Python.
Strengths and weaknesses
- + The source code of this software is available
- - Unknown project license
Typical usage
- Learning
- Threat discovery
Kojoney2
Introduction
Kojoney2 is an SSH honeypot based on Kojoney by Jose Antonio Coret. It can be used to learn about threats by mimicking an SSH service.Project details
Kojoney2 is written in Python.
Strengths and weaknesses
- + The source code of this software is available
- - No updates for a while
Typical usage
- Learning
- Threat discovery
SSH Honeypot
Introduction
SSH Honeypot is as the name implies a honeypot to emulate the SSH service. It can be used to learn about threats and commands used by attackers.Project details
SSH Honeypot is written in C.
Strengths and weaknesses
- + The source code of this software is available
Typical usage
- Learning
- Threat discovery
sshesame
Introduction
A honeypot can provide valuable insights on commands that automated scripts perform or attackers. By running a honeypot like sshesame, connection details and commands are stored for later analysis. The system itself won't execute the actual commands, to prevent any damage to it.
Project details
sshesame is written in Golang.
Strengths and weaknesses
- + The source code of this software is available
- - No releases on GitHub available
Typical usage
- Learning
- Threat discovery
Dionaea
Introduction
Dionaea is a honeypot that can emulate a range of services like FTP, HTTP, MySQL, and SMB. It can be used to see and learn how attackers work.Project details
Dionaea is written in C.
Strengths and weaknesses
- + The source code of this software is available
- - Full name of author is unknown
Typical usage
- Learning
- Threat discovery
Heralding
Introduction
Heralding is a simple honeypot to collect credentials. It supports common protocols like FTP, SSH, HTTP, etc.Project details
Heralding is written in Python.
Strengths and weaknesses
- + Many releases available
- + The source code of this software is available
MTPot
Introduction
MTPot is a so-called telnet honeypot that allows to bind and listen on a specific port. It can be configured to allow specific commands and the related responses to return. The tool also performs fingerprinting to discover what type of attack is occuring and send these details via syslog.Project details
MTPot is written in Python.
Strengths and weaknesses
- + Very low number of dependencies
- + The source code of this software is available
Typical usage
- Learning
- Threat discovery
Thug
Introduction
The honeypot concept is a well-known technique to collect attack patterns on servers and systems. Tools like Thug are considered to be a honeyclient, or client honeypot. These tools collect attacks against client applications. For example by mimicking a web application and visit a malicious page to see if any code is attacking the application.
Project details
Thug is written in Python.
Strengths and weaknesses
- + The source code of this software is available
Typical usage
- Learning
- Malware analysis
- Threat discovery
mehrai
Introduction
Honeypots like mehrai can be used to learn more about incoming attacks. It might be useful to determine threats to your network or about the steps that attackers perform.
Project details
mehrai is written in Python.
Strengths and weaknesses
- + The source code of this software is available
Typical usage
- Learning
- Network security monitoring
- Security monitoring
Conpot
Introduction
Conpot is an ICS honeypot to collect intelligence and information about attacks against industrial control systems. It is written in Python.Project details
Conpot is written in Python.
Strengths and weaknesses
- + More than 25 contributors
- + The source code of this software is available
Typical usage
- Information gathering
- Intrusion detection
- Learning
HonTel
Introduction
HonTel is a honeypot that emulates the telnet service within a chroot environment. It can be used to learn about enumeration activities or new attack methods.Project details
HonTel is written in Python.
Strengths and weaknesses
- + The source code of this software is available
Typical usage
- Learning
- Security monitoring
HoneyPi
Introduction
A honeypot is useful to learn more about the network probes that are happening. As this project uses a Raspberry Pi, the investments for a deployment are low.
Project details
HoneyPi is written in Python.
Strengths and weaknesses
- + The source code of this software is available
Typical usage
- Learning
- Network analysis
HoneyPy
Introduction
The honeypot can be extended by plugins and customization is possible as well. This may increase the interaction level that the honeypot can support. All activity is logged to a file, with the option to post activity to Twitter or a web server.
Project details
HoneyPy is written in Python.
Strengths and weaknesses
- + The source code of this software is available
Typical usage
- Security monitoring
Honeyprint
Introduction
There is not much information available about this project, as it is a proof-of-concept on GitHub. It is written by Lukas Rist in 2013, and placed on GitHub early 2016.
Project details
SNARE
Introduction
SNARE is an abbreviation for Super Next generation Advanced Reactive honEypot.
Project details
SNARE is written in Python.
Strengths and weaknesses
- + The source code of this software is available
Typical usage
- Security monitoring
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