Automatic privilege escalation for misconfigured capabilities, sudo and suid binaries

Overview

GTFONow

Automatic privilege escalation for misconfigured capabilities, sudo and suid binaries.

Features

  • Automatically escalate privileges using misconfigured sudo permissions.
  • Automatically escalate privileges using misconfigured suid permissions.
  • Automatically escalated privileges using misconfigured capabilities.
  • Supports Python 2 and 3.
  • No third party libraries required.
  • Support sudo PASSWD and NOPASSWD escalation, automatically attempts to enumerate sudo binaries for when password is not known and sudo -l is not accessible.

Usage Examples

Default Mode - Scan All

asciicast

Capability Escalation

asciicast

Sudo Escalation and Verbose Mode

asciicast

Todo

  • Parse sudo -l for less noisy sudo privilege escalations.
  • Add more types of capability escalation.

Credits

Collection of scripts to pinpoint obfuscated code

Obfuscation Detection (v1.0) Author: Tim Blazytko Automatically detect control-flow flattening and other state machines Description: Scripts and binar

Tim Blazytko 230 Nov 26, 2022
PyTorch source code of NAACL 2019 paper "An Embarrassingly Simple Approach for Transfer Learning from Pretrained Language Models"

This repository contains source code for NAACL 2019 paper "An Embarrassingly Simple Approach for Transfer Learning from Pretrained Language Models" (P

Alexandra Chronopoulou 89 Aug 12, 2022
Text classification on IMDB dataset using Keras and Bi-LSTM network

Text classification on IMDB dataset using Keras and Bi-LSTM Text classification on IMDB dataset using Keras and Bi-LSTM network. Usage python3 main.py

Hamza Rashid 2 Sep 27, 2022
Sequence-to-Sequence Framework in PyTorch

nmtpytorch allows training of various end-to-end neural architectures including but not limited to neural machine translation, image captioning and au

LIUM 395 Nov 21, 2022
RoNER is a Named Entity Recognition model based on a pre-trained BERT transformer model trained on RONECv2

RoNER RoNER is a Named Entity Recognition model based on a pre-trained BERT transformer model trained on RONECv2. It is meant to be an easy to use, hi

Stefan Dumitrescu 9 Nov 07, 2022
Text Classification Using LSTM

Text classification is the task of assigning a set of predefined categories to free text. Text classifiers can be used to organize, structure, and categorize pretty much anything. For example, new ar

KrishArul26 3 Jan 03, 2023
2021 AI CUP Competition on Traditional Chinese Scene Text Recognition - Intermediate Contest

繁體中文場景文字辨識 程式碼說明 組別:這就是我 成員:蔣明憲 唐碩謙 黃玥菱 林冠霆 蕭靖騰 目錄 環境套件 安裝方式 資料夾布局 前處理-製作偵測訓練註解檔 前處理-製作分類訓練樣本 part.py : 從 json 裁切出分類訓練樣本 Class.py : 將切出來的樣本按照文字分類到各資料夾

HuanyueTW 3 Jan 14, 2022
Chinese version of GPT2 training code, using BERT tokenizer.

GPT2-Chinese Description Chinese version of GPT2 training code, using BERT tokenizer or BPE tokenizer. It is based on the extremely awesome repository

Zeyao Du 5.6k Jan 04, 2023
Sample data associated with the Aurora-BP study

The Aurora-BP Study and Dataset This repository contains sample code, sample data, and explanatory information for working with the Aurora-BP dataset

Microsoft 16 Dec 12, 2022
Deep learning for NLP crash course at ABBYY.

Deep NLP Course at ABBYY Deep learning for NLP crash course at ABBYY. Suggested textbook: Neural Network Methods in Natural Language Processing by Yoa

Dan Anastasyev 597 Dec 18, 2022
[ICCV 2021] Counterfactual Attention Learning for Fine-Grained Visual Categorization and Re-identification

Counterfactual Attention Learning Created by Yongming Rao*, Guangyi Chen*, Jiwen Lu, Jie Zhou This repository contains PyTorch implementation for ICCV

Yongming Rao 89 Dec 18, 2022
Gold standard corpus annotated with verb-preverb connections for Hungarian.

Hungarian Preverb Corpus A gold standard corpus manually annotated with verb-preverb connections for Hungarian. corpus The corpus consist of the follo

RIL Lexical Knowledge Representation Research Group 3 Jan 27, 2022
Open-World Entity Segmentation

Open-World Entity Segmentation Project Website Lu Qi*, Jason Kuen*, Yi Wang, Jiuxiang Gu, Hengshuang Zhao, Zhe Lin, Philip Torr, Jiaya Jia This projec

DV Lab 408 Dec 29, 2022
Large-scale pretraining for dialogue

A State-of-the-Art Large-scale Pretrained Response Generation Model (DialoGPT) This repository contains the source code and trained model for a large-

Microsoft 1.8k Jan 07, 2023
Official implementations for various pre-training models of ERNIE-family, covering topics of Language Understanding & Generation, Multimodal Understanding & Generation, and beyond.

English|简体中文 ERNIE是百度开创性提出的基于知识增强的持续学习语义理解框架,该框架将大数据预训练与多源丰富知识相结合,通过持续学习技术,不断吸收海量文本数据中词汇、结构、语义等方面的知识,实现模型效果不断进化。ERNIE在累积 40 余个典型 NLP 任务取得 SOTA 效果,并在 G

5.4k Jan 03, 2023
Train 🤗transformers with DeepSpeed: ZeRO-2, ZeRO-3

Fork from https://github.com/huggingface/transformers/tree/86d5fb0b360e68de46d40265e7c707fe68c8015b/examples/pytorch/language-modeling at 2021.05.17.

Junbum Lee 12 Oct 26, 2022
Simple Annotated implementation of GPT-NeoX in PyTorch

Simple Annotated implementation of GPT-NeoX in PyTorch This is a simpler implementation of GPT-NeoX in PyTorch. We have taken out several optimization

labml.ai 101 Dec 03, 2022
"Investigating the Limitations of Transformers with Simple Arithmetic Tasks", 2021

transformers-arithmetic This repository contains the code to reproduce the experiments from the paper: Nogueira, Jiang, Lin "Investigating the Limitat

Castorini 33 Nov 16, 2022
Yet Another Sequence Encoder - Encode sequences to vector of vector in python !

Yase Yet Another Sequence Encoder - encode sequences to vector of vectors in python ! Why Yase ? Yase enable you to encode any sequence which can be r

Pierre PACI 12 Aug 19, 2021
It analyze the sentiment of the user, whether it is postive or negative.

Sentiment-Analyzer-Tool It analyze the sentiment of the user, whether it is postive or negative. It uses streamlit library for creating this sentiment

Paras Patidar 18 Dec 17, 2022