Collection of scripts to pinpoint obfuscated code

Overview

Obfuscation Detection (v1.0)

Author: Tim Blazytko

Automatically detect control-flow flattening and other state machines

Description:

Scripts and binaries to automatically detect control-flow flattening and other state machines in binaries.

Implementation is based on Binary Ninja. Check out the following blog post for more information:

Automated Detection of Control-flow Flattening

Usage

$ ./detect_flattening.py samples/finspy 
Function 0x401602 has a flattening score of 0.9473684210526315.
Function 0x4017c0 has a flattening score of 0.9981378026070763.
Function 0x405150 has a flattening score of 0.9166666666666666.
Function 0x405270 has a flattening score of 0.9166666666666666.
Function 0x405370 has a flattening score of 0.9984544049459042.
Function 0x4097a0 has a flattening score of 0.9992378048780488.
Function 0x412c70 has a flattening score of 0.9629629629629629.
Function 0x412df0 has a flattening score of 0.9629629629629629.
Function 0x412f70 has a flattening score of 0.9927007299270073.
Function 0x4138e0 has a flattening score of 0.9629629629629629.

Note

The password for the zipped malware samples is "infected". To unpack, use the following command line:

$ unzip -P infected samples.zip

Contact

For more information, contact @mr_phrazer.

You might also like...
A collection of models for image - text generation in ACM MM 2021.

Bi-directional Image and Text Generation UMT-BITG (image & text generator) Unifying Multimodal Transformer for Bi-directional Image and Text Generatio

An open collection of annotated voices in Japanese language

声庭 (Koniwa): オープンな日本語音声とアノテーションのコレクション Koniwa (声庭): An open collection of annotated voices in Japanese language 概要 Koniwa(声庭)は利用・修正・再配布が自由でオープンな音声とアノテ

ALIbaba's Collection of Encoder-decoders from MinD (Machine IntelligeNce of Damo) Lab

AliceMind AliceMind: ALIbaba's Collection of Encoder-decoders from MinD (Machine IntelligeNce of Damo) Lab This repository provides pre-trained encode

Code examples for my Write Better Python Code series on YouTube.

Write Better Python Code This repository contains the code examples used in my Write Better Python Code series published on YouTube: https:/

Code to use Augmented Shapiro Wilks Stopping, as well as code for the paper "Statistically Signifigant Stopping of Neural Network Training"

This codebase is being actively maintained, please create and issue if you have issues using it Basics All data files are included under losses and ea

Code for the Python code smells video on the ArjanCodes channel.

7 Python code smells This repository contains the code for the Python code smells video on the ArjanCodes channel (watch the video here). The example

Code for CodeT5: a new code-aware pre-trained encoder-decoder model.
Code for CodeT5: a new code-aware pre-trained encoder-decoder model.

CodeT5: Identifier-aware Unified Pre-trained Encoder-Decoder Models for Code Understanding and Generation This is the official PyTorch implementation

Galois is an auto code completer for code editors (or any text editor) based on OpenAI GPT-2.
Galois is an auto code completer for code editors (or any text editor) based on OpenAI GPT-2.

Galois is an auto code completer for code editors (or any text editor) based on OpenAI GPT-2. It is trained (finetuned) on a curated list of approximately 45K Python (~470MB) files gathered from the Github. Currently, it just works properly on Python but not bad at other languages (thanks to GPT-2's power).

Code-autocomplete, a code completion plugin for Python
Code-autocomplete, a code completion plugin for Python

Code AutoComplete code-autocomplete, a code completion plugin for Python.

Comments
  • plugin?

    plugin?

    Are you interested in a PR to add a plugin.json so this could be used either in headless mode on the command-line or via the UI inside BN itself which would let it be installable via the plugin manager?

    opened by psifertex 2
  • Replace Counter.total() for users with python < 3.10

    Replace Counter.total() for users with python < 3.10

    I'm running Binary Ninja on windows 10 and it's got Python 3.9.2, which means the Counter.total() function in calc_uncommon_instruction_sequences_score() doesn't work. I've replaced this with sum(counter.values()) which should do the same thing

    opened by samrussell 1
Releases(v1.4)
Owner
Tim Blazytko
Tim Blazytko
Kerberoast with ACL abuse capabilities

targetedKerberoast targetedKerberoast is a Python script that can, like many others (e.g. GetUserSPNs.py), print "kerberoast" hashes for user accounts

Shutdown 213 Dec 22, 2022
The proliferation of disinformation across social media has led the application of deep learning techniques to detect fake news.

Fake News Detection Overview The proliferation of disinformation across social media has led the application of deep learning techniques to detect fak

Kushal Shingote 1 Feb 08, 2022
VD-BERT: A Unified Vision and Dialog Transformer with BERT

VD-BERT: A Unified Vision and Dialog Transformer with BERT PyTorch Code for the following paper at EMNLP2020: Title: VD-BERT: A Unified Vision and Dia

Salesforce 44 Nov 01, 2022
PatrickStar enables Larger, Faster, Greener Pretrained Models for NLP. Democratize AI for everyone.

PatrickStar enables Larger, Faster, Greener Pretrained Models for NLP. Democratize AI for everyone.

Tencent 633 Dec 28, 2022
Simple NLP based project without any use of AI

Simple NLP based project without any use of AI

Shripad Rao 1 Apr 26, 2022
PyABSA - Open & Efficient for Framework for Aspect-based Sentiment Analysis

PyABSA - Open & Efficient for Framework for Aspect-based Sentiment Analysis

YangHeng 567 Jan 07, 2023
A Chinese to English Neural Model Translation Project

ZH-EN NMT Chinese to English Neural Machine Translation This project is inspired by Stanford's CS224N NMT Project Dataset used in this project: News C

Zhenbang Feng 29 Nov 26, 2022
Score-Based Point Cloud Denoising (ICCV'21)

Score-Based Point Cloud Denoising (ICCV'21) [Paper] https://arxiv.org/abs/2107.10981 Installation Recommended Environment The code has been tested in

Shitong Luo 79 Dec 26, 2022
pyMorfologik MorfologikpyMorfologik - Python binding for Morfologik.

Python binding for Morfologik Morfologik is Polish morphological analyzer. For more information see http://github.com/morfologik/morfologik-stemming/

Damian Mirecki 18 Dec 29, 2021
Share constant definitions between programming languages and make your constants constant again

Introduction Reconstant lets you share constant and enum definitions between programming languages. Constants are defined in a yaml file and converted

Natan Yellin 47 Sep 10, 2022
To be a next-generation DL-based phenotype prediction from genome mutations.

Sequence -----------+-- 3D_structure -- 3D_module --+ +-- ? | |

Eric Alcaide 18 Jan 11, 2022
Mirco Ravanelli 2.3k Dec 27, 2022
Official Pytorch implementation of Test-Agnostic Long-Tailed Recognition by Test-Time Aggregating Diverse Experts with Self-Supervision.

This repository is the official Pytorch implementation of Test-Agnostic Long-Tailed Recognition by Test-Time Aggregating Diverse Experts with Self-Supervision.

vanint 101 Dec 30, 2022
p-tuning for few-shot NLU task

p-tuning_NLU Overview 这个小项目是受乐于分享的苏剑林大佬这篇p-tuning 文章启发,也实现了个使用P-tuning进行NLU分类的任务, 思路是一样的,prompt实现方式有不同,这里是将[unused*]的embeddings参数抽取出用于初始化prompt_embed后

3 Dec 29, 2022
Tevatron is a simple and efficient toolkit for training and running dense retrievers with deep language models.

Tevatron Tevatron is a simple and efficient toolkit for training and running dense retrievers with deep language models. The toolkit has a modularized

texttron 193 Jan 04, 2023
Cherche (search in French) allows you to create a neural search pipeline using retrievers and pre-trained language models as rankers.

Cherche (search in French) allows you to create a neural search pipeline using retrievers and pre-trained language models as rankers. Cherche is meant to be used with small to medium sized corpora. C

Raphael Sourty 224 Nov 29, 2022
[AAAI 21] Curriculum Labeling: Revisiting Pseudo-Labeling for Semi-Supervised Learning

◥ Curriculum Labeling ◣ Revisiting Pseudo-Labeling for Semi-Supervised Learning Paola Cascante-Bonilla, Fuwen Tan, Yanjun Qi, Vicente Ordonez. In the

UVA Computer Vision 113 Dec 15, 2022
Simple, hackable offline speech to text - using the VOSK-API.

Simple, hackable offline speech to text - using the VOSK-API.

Campbell Barton 844 Jan 07, 2023
A very simple framework for state-of-the-art Natural Language Processing (NLP)

A very simple framework for state-of-the-art NLP. Developed by Humboldt University of Berlin and friends. IMPORTANT: (30.08.2020) We moved our models

flair 12.3k Dec 31, 2022
Pretrained Japanese BERT models

Pretrained Japanese BERT models This is a repository of pretrained Japanese BERT models. The models are available in Transformers by Hugging Face. Mod

Inui Laboratory 387 Dec 30, 2022