thewildspirit (panoslap)

panoslap

Geek Repo

Company:@hackthebox

Location:Greece

Twitter:@_thewildspirit

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thewildspirit's starred repositories

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cyber-apocalypse-2024

Official writeups for Cyber Apocalypse CTF 2024: Hacker Royale

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NovaLdr

Threadless Module Stomping In Rust with some features (In memory of those murdered in the Nova party massacre)

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LinikatzV2

linikatz is a tool to attack AD on UNIX

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Proxy-DLL-Loads

The code is a pingback to the Dark Vortex blog:

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sliver

Adversary Emulation Framework

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mddgan

Implementation of my B.Sc. Thesis titled "MddGAN : Multilinear Analysis of the GAN Latent Space".

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HideProcessHook

DLL that hooks the NtQuerySystemInformation API and hides a process name

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TokenUniverse

An advanced tool for working with access tokens and Windows security policy.

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pretender

Your MitM sidekick for relaying attacks featuring DHCPv6 DNS takeover as well as mDNS, LLMNR and NetBIOS-NS spoofing.

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watermark-removal

a machine learning image inpainting task that instinctively removes watermarks from image indistinguishable from the ground truth image

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random_c2_profile

Cobalt Strike random C2 Profile generator

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decomp2dbg

A plugin to introduce interactive symbols into your debugger from your decompiler

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BackupOperatorToDA

From an account member of the group Backup Operators to Domain Admin without RDP or WinRM on the Domain Controller

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KrbRelay

Framework for Kerberos relaying

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reFlutter

Flutter Reverse Engineering Framework

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lsarelayx

NTLM relaying for Windows made easy

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Suspended-Thread-Injection

Another meterpreter injection technique using C# that attempts to bypass Defender

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Covenant

Covenant is a collaborative .NET C2 framework for red teamers.

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CVE-2021-40444

CVE-2021-40444 PoC

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WinPwn

Automation for internal Windows Penetrationtest / AD-Security

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AmsiScanBufferBypass

Bypass AMSI by patching AmsiScanBuffer

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LunarLander-v2

Implementation of reinforcement learning algorithms for the OpenAI Gym environment LunarLander-v2

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Comparing-Vector-Space-Representations-for-Images

Reducing MNIST image data dimensionality by extracting the latent space representations of an Autoencoder model. Comparing these latent space representations to the default MNIST representation

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