Ason0218

Ason0218's Stars

• sergio11/nemesys

  Nemesys is an ethical cybersecurity tool designed to automate exploitation and post-exploitation tasks using Metasploit. It enhances target attacks, privilege escalation, and system analysis while providing intelligent reporting through cloud-based large language models (LLMs). 🚀📊

  Language:Python101

• AFLplusplus/LibAFL

  Advanced Fuzzing Library - Slot your Fuzzer together in Rust! Scales across cores and machines. For Windows, Android, MacOS, Linux, no_std, ...

  Language:Rust2.2k348

• waxz/HMM

  Online Learning with Hidden Markov Models

  Language:Jupyter Notebook9

• mannaandpoem/OpenManus

  No fortress, purely open ground. OpenManus is Coming.

  Language:Python37.4k6.1k

• FredericLeroy/libngapcodec

  coding/decoding of NGAP messages from 3gpp spec TS38413

  Language:C2112

• Dybinx/asn.1-tool

  The decoding tool can decode 4G/5G RRC protocol messages, including any version of the RRC protocol.

  87

• microsoft/CodeGenerationPoisoning

  Proof of concept code for poisoning code generation models.

  Language:Python457

• datasec-lab/CodeBreaker

  [USENIX Security '24] An LLM-Assisted Easy-to-Trigger Backdoor Attack on Code Completion Models: Injecting Disguised Vulnerabilities against Strong Detection

  Language:Python415

• mbscit/securecodingprompts

  Language:Python4

• mlabonne/llm-course

  Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

  Language:Jupyter Notebook48.2k5.2k

• ZGC-LLM-Safety/TrafficLLM

  The repository of TrafficLLM, a universal LLM adaptation framework to learn robust traffic representation for all open-sourced LLM in real-world scenarios and enhance the generalization across diverse traffic analysis tasks.

  Language:Python19232

• NirDiamant/RAG_Techniques

  This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. RAG systems combine information retrieval with generative models to provide accurate and contextually rich responses.

  Language:Jupyter Notebook13.5k1.4k

• RUCAIBox/LLMSurvey

  The official GitHub page for the survey paper "A Survey of Large Language Models".

  Language:Python11.2k875

• piyush-J/BERTRLFuzzer

  Language:SCSS51

• onehouwong/Cellular-Security-Papers

  A collection of academic papers / Git repos / conference talks / frameworks / tools related to cellular security and privacy.

  13028

• hzysvilla/Academic_LLM_Sec_Papers

  Academic Papers about LLM Application on Security

  1298

• anonymousAnalyst22/LLMIF

  Language:C18

• netzob/netzob

  Netzob: Protocol Reverse Engineering, Modeling and Fuzzing

  Language:Python786169

• PKUFlyingPig/cs-self-learning

  计算机自学指南

  Language:HTML61.2k7.1k

• gdbinit/Gdbinit

  Gdbinit for OS X, iOS and others - x86, x86_64 and ARM

  1.7k460

• kuiba3/Aflnetgo-testcases_snap

  AFLnetgo的对比测试，方便实验复现

  Language:C1

• 1ikeadragon/pwntainer

  Docker container with all required CTF tools.

  Language:Dockerfile404

• WeiViming/gzhu-thesis

  广州大学研究生学位论文非官方模板

  Language:BibTeX Style14

• Ian-Jhon/GZHU_Thesis_Latex_Template

  广州大学学位论文模板

  Language:TeX192

• antonio-morales/Fuzzing101

  An step by step fuzzing tutorial. A GitHub Security Lab initiative

  3.4k365

• liyansong2018/fuzzing-tutorial

  Curated list of classic fuzzing books, papers about fuzzing at information security top conferences over the years, commonly used fuzzing tools, and resources that can help us use fuzzer easily.

  34247

• my5G/my5G-RANTester

  my5G-RANTester is a gNB/UE simulator for studying 3GPP standards and stressing a 5G core.

  Language:Go10839

• jaywcjlove/awesome-mac

   Now we have become very big, Different from the original idea. Collect premium software in various categories.

  Language:JavaScript81.1k6.4k

• u1f383/fuzzing-learning-in-30-days

  34138

• calee0219/awesome-5g

  Awesome lists about 5G projects.

  Language:Shell775139