Shellcode antivirus evasion framework

Overview

Schrodinger's Cat

Schrodinger'sCat is a Shellcode antivirus evasion framework

Technical principle

Please visit my blog https://idiotc4t.com/

How to usa

└─$ python3 Schrodingerscat.py -f 64.bin -t tpl_nttestalert -a alloc_calloc -p x64 


  ____       _                   _ _                       _        ____      _   
 / ___|  ___| |__  _ __ ___   __| (_)_ __   __ _  ___ _ __( )___   / ___|__ _| |_ 
 \___ \ / __| '_ \| '__/ _ \ / _` | | '_ \ / _` |/ _ \ '__|// __| | |   / _` | __|
  ___) | (__| | | | | | (_) | (_| | | | | | (_| |  __/ |    \__ \ | |__| (_| | |_ 
 |____/ \___|_| |_|_|  \___/ \__,_|_|_| |_|\__, |\___|_|    |___/  \____\__,_|\__|
                                           |___/         
           Schrodinger'sCat is a Shellcode antivirus evasion framework 
                                v1.1 stable!
                        author [email protected] Lab!                         

[+] Generate temporary source code
[+] Write temp source file ./temp/temp.cpp
[+] Compiling temporary source code ./temp/temp.cpp
[+] Compiled and output the file ./temp/output.exe

HELP

└─$ python3 Schrodingerscat.py -h
  ____       _                   _ _                       _        ____      _   
 / ___|  ___| |__  _ __ ___   __| (_)_ __   __ _  ___ _ __( )___   / ___|__ _| |_ 
 \___ \ / __| '_ \| '__/ _ \ / _` | | '_ \ / _` |/ _ \ '__|// __| | |   / _` | __|
  ___) | (__| | | | | | (_) | (_| | | | | | (_| |  __/ |    \__ \ | |__| (_| | |_ 
 |____/ \___|_| |_|_|  \___/ \__,_|_|_| |_|\__, |\___|_|    |___/  \____\__,_|\__|
                                           |___/         
           Schrodinger'sCat is a Shellcode antivirus evasion framework 
                                v1.1 stable!
                        author [email protected] Lab!                         

usage: Schrodingerscat.py [-h] [-t {tpl_nttestalert,tpl_earlybird,tpl_setcontext,tpl_ptrrun,tpl_createremotethread}] [-f FILE] [-s SECTION]
                          [-a {alloc_calloc,alloc_malloc,alloc_maping,alloc_virtualalloc}] [-o OUTPUT] [-p {x86,x64}] [-l {alloc,template}]
                          [-opt OPTIONS]

optional arguments:
  -h, --help            show this help message and exit
  -t {tpl_nttestalert,tpl_earlybird,tpl_setcontext,tpl_ptrrun,tpl_createremotethread}, --template {tpl_nttestalert,tpl_earlybird,tpl_setcontext,tpl_ptrrun,tpl_createremotethread}
                        C language source code template. Default:tpl_earlybird
  -f FILE, --file FILE  Input shellcode file to be processed.
  -s SECTION, --section SECTION
                        The offset table is compiled into the named code segment Default:.text
  -a {alloc_calloc,alloc_malloc,alloc_maping,alloc_virtualalloc}, --alloc {alloc_calloc,alloc_malloc,alloc_maping,alloc_virtualalloc}
                        Restore shellcode temporary storage allocation. Default:alloc_virtualalloc
  -o OUTPUT, --output OUTPUT
                        Output file name. Default:output.exe
  -p {x86,x64}, --platform {x86,x64}
                        Compiling platform Default:x86
  -l {alloc,template}, --list {alloc,template}
                        list template or alloc.
  -opt OPTIONS, --options OPTIONS
                        GCC compilation options. Default:O3

TODO

[]Add more templates

[]Modularization of encryption

Owner
idiotc4t
idiotc4t
Learning General Purpose Distributed Sentence Representations via Large Scale Multi-task Learning

GenSen Learning General Purpose Distributed Sentence Representations via Large Scale Multi-task Learning Sandeep Subramanian, Adam Trischler, Yoshua B

Maluuba Inc. 309 Oct 19, 2022
Script to generate VAD dataset used in Asteroid recipe

About the dataset LibriVAD is an open source dataset for voice activity detection in noisy environments. It is derived from LibriSpeech signals (clean

11 Sep 15, 2022
Codes to pre-train Japanese T5 models

t5-japanese Codes to pre-train a T5 (Text-to-Text Transfer Transformer) model pre-trained on Japanese web texts. The model is available at https://hug

Megagon Labs 37 Dec 25, 2022
Command Line Text-To-Speech using Google TTS

cli-tts Thanks to gTTS by @pndurette! This is an interactive command line text-to-speech tool using Google TTS. Just type text and the voice will be p

ReekyStive 3 Nov 11, 2022
TruthfulQA: Measuring How Models Imitate Human Falsehoods

TruthfulQA: Measuring How Models Imitate Human Falsehoods

69 Dec 25, 2022
PyJPBoatRace: Python-based Japanese boatrace tools 🚤

pyjpboatrace :speedboat: provides you with useful tools for data analysis and auto-betting for boatrace.

5 Oct 29, 2022
使用Mask LM预训练任务来预训练Bert模型。训练垂直领域语料的模型表征,提升下游任务的表现。

Pretrain_Bert_with_MaskLM Info 使用Mask LM预训练任务来预训练Bert模型。 基于pytorch框架,训练关于垂直领域语料的预训练语言模型,目的是提升下游任务的表现。 Pretraining Task Mask Language Model,简称Mask LM,即

Desmond Ng 24 Dec 10, 2022
VoiceFixer VoiceFixer is a framework for general speech restoration.

VoiceFixer VoiceFixer is a framework for general speech restoration. We aim at the restoration of severly degraded speech and historical speech. Paper

Leo 174 Jan 06, 2023
NLP applications using deep learning.

NLP-Natural-Language-Processing NLP applications using deep learning like text generation etc. 1- Poetry Generation: Using a collection of Irish Poem

KASHISH 1 Jan 27, 2022
Facilitating the design, comparison and sharing of deep text matching models.

MatchZoo Facilitating the design, comparison and sharing of deep text matching models. MatchZoo 是一个通用的文本匹配工具包,它旨在方便大家快速的实现、比较、以及分享最新的深度文本匹配模型。 🔥 News

Neural Text Matching Community 3.7k Jan 02, 2023
:house_with_garden: Fast & easy transfer learning for NLP. Harvesting language models for the industry. Focus on Question Answering.

(Framework for Adapting Representation Models) What is it? FARM makes Transfer Learning with BERT & Co simple, fast and enterprise-ready. It's built u

deepset 1.6k Dec 27, 2022
基于pytorch+bert的中文事件抽取

pytorch_bert_event_extraction 基于pytorch+bert的中文事件抽取,主要思想是QA(问答)。 要预先下载好chinese-roberta-wwm-ext模型,并在运行时指定模型的位置。

西西嘛呦 31 Nov 30, 2022
LightSpeech: Lightweight and Fast Text to Speech with Neural Architecture Search

LightSpeech UnOfficial PyTorch implementation of LightSpeech: Lightweight and Fast Text to Speech with Neural Architecture Search.

Rishikesh (ऋषिकेश) 54 Dec 03, 2022
Transformers implementation for Fall 2021 Clinic

Installation Download miniconda3 if not already installed You can check by running typing conda in command prompt. Use conda to create an environment

Aakash Tripathi 1 Oct 28, 2021
I label phrases on a scale of five values: negative, somewhat negative, neutral, somewhat positive, positive

I label phrases on a scale of five values: negative, somewhat negative, neutral, somewhat positive, positive. Obstacles like sentence negation, sarcasm, terseness, language ambiguity, and many others

1 Jan 13, 2022
Athena is an open-source implementation of end-to-end speech processing engine.

Athena is an open-source implementation of end-to-end speech processing engine. Our vision is to empower both industrial application and academic research on end-to-end models for speech processing.

Ke Technologies 34 Sep 08, 2022
A model library for exploring state-of-the-art deep learning topologies and techniques for optimizing Natural Language Processing neural networks

A Deep Learning NLP/NLU library by Intel® AI Lab Overview | Models | Installation | Examples | Documentation | Tutorials | Contributing NLP Architect

Intel Labs 2.9k Jan 02, 2023
GCRC: A Gaokao Chinese Reading Comprehension dataset for interpretable Evaluation

GCRC GCRC: A New Challenging MRC Dataset from Gaokao Chinese for Explainable Eva

Yunxiao Zhao 5 Nov 04, 2022
Paddle2.x version AI-Writer

Paddle2.x 版本AI-Writer 用魔改 GPT 生成网文。Tuned GPT for novel generation.

yujun 74 Jan 04, 2023
Weakly-supervised Text Classification Based on Keyword Graph

Weakly-supervised Text Classification Based on Keyword Graph How to run? Download data Our dataset follows previous works. For long texts, we follow C

Hello_World 20 Dec 29, 2022