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Moonwalk : Cover Your Tracks During Linux Exploitation By Leaving Zero Traces

moonwalk is a 400 KB single-binary executable that can clear your traces while penetration testing a Unix machine. It saves the state of system logs pre-exploitation and reverts that state including the filesystem timestamps post-exploitation leaving zero traces of a ghost in the shell.

Features

* Small Executable: Get started quickly with a curlfetch to your target machine.
* Fast: Performs all session commands including logging, trace clearing, and filesystem operations in under 5 milliseconds.
* Reconnaissance: To save the state of system logs, moonwalkfinds a world-writable path and saves the session under a dot directory which is removed upon ending the session.
* Shell History: Instead of clearing the whole history file, moonwalkreverts it back to how it was including the invocation of moonwalk.
* Filesystem Timestamps: Hide from the Blue Team by reverting the access/modify timestamps of files back to how it was using the GETcommand.

Installation

$ curl -L https://github.com/mufeedvh/moonwalk/releases/download/v1.0.0/moonwalk_linux -o moonwalk

(AMD x86-64)

OR

Download the executable from Releases OR Install with cargo:

Build From Source

Prerequisites

* Git
* Rust
* Cargo (Automatically installed when installing Rust)
* A C linker (Only for Linux, generally comes pre-installed)

$ git clone https://github.com/mufeedvh/moonwalk.git
$ cd moonwalk/
$ cargo build –release

The first command clones this repository into your local machine and the last two commands enters the directory and builds the source in release mode.

Usage

Once you get a shell into the target Unix machine, start a moonwalk session by running this command:

$ moonwalk start

While you’re doing recon/exploitation and messing with any files, get the touchtimestamp command of a file beforehand to revert it back after you’ve accessed/modified it:

$ moonwalk get ~/.bash_history

Post-exploitation, clear your traces and close the session with this command:

$ moonwalk finish
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Moonwalk : Cover Your Tracks During Linux Exploitation

moonwalk is a 400 KB single-binary executable that can clear your traces while penetration testing a Unix machine.

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Hacking Articles Tips Tricks Videos Tutorials

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Hacking Articles Tips Tricks Videos Tutorials

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Kali Linux Tutorials
Pybatfish : Python Client For Batfish (Network Configuration Analysis Tool)

Pybatfish is a Python client for Batfish.

What is Batfish?

Batfish is a network validation tool that provides correctness guarantees for security, reliability, and compliance by analyzing the configuration of network devices. It builds complete models of network behavior from device configurations and finds violations of network policies (built-in, user-defined, and best-practices).

A primary use case for Batfish is to validate configuration changes before deployment (though it can be used to validate deployed configurations as well). Pre-deployment validation is a critical gap in existing network automation workflows. By Batfish in automation workflows, network engineers can close this gap and ensure that only correct changes are deployed.

Batfish does NOT require direct access to network devices. The core analysis requires only the configuration of network devices. This analysis may be enhanced using additional information from the network such as:

* BGP routes received from external peers
* Topology information represented by LLDP/CDP

What kinds of correctness checks does Batfish support?

The Batfish YouTube channel (which you can subscribe to for new content) illustrates many types of checks. These checks span a range of network behaviors and device configuration attributes.

Configuration Compliance

* Flag undefined-but-referenced or defined-but-unreferenced structures (e.g., ACLs, route maps)
* Configuration settings for MTUs, AAA, NTP, logging, etc. match templates
* Devices can only be accessed using SSHv2 and password is not null

Reliability

* End-to-end reachability is not impacted for any flow after any single-link or single-device failure
* Certain services (e.g., DNS) are globally reachable

Security

* Sensitive services can be reached only from specific subnets or devices
* Paths between endpoints are as expected (e.g., traverse a firewall, have at least 2 way ECMP, etc…)

Change Analysis

* End-to-end reachability is identical across the current and a planned configuration
* Planned ACL or firewall changes are provably correct and causes no collateral damage for other traffic
* Two configurations, potentially from different vendors, are functionally equivalent

How do I get started?

If you haven’t already installed Batfish, follow the instructions listed in the batfish github repository to do so.

Install Pybatfish

We highly recommend that you install Pybatfish in a Python 3 virtual environment. Details on how to set one up can be found here. Once your virtual environment is setup and activated, upgrade pip and then install pybatfish.

python3 -m pip install –upgrade pip
python3 -m pip install –upgrade pybatfish

Now, you are ready to evaluate your own network with Batfish. We encourage you to use Jupyter notebooks as your starting point, but you can use other methods that you are a comfortable with, e.g., an IDE like PyCharm or an interactive Python shell. If you choose to use Jupyter notebooks as your starting point, you need to install Jupyter in your virtual environment. Jupyter documentation can be found here – but the commands below will get you going.

python3 -m pip install jupyter
jupyter notebook

Our notebooks provide a quick start guide for different use cases.
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