bowl-of-porrige

bowl-of-porrige's Stars

• SonarSource/argument-injection-vectors

  A curated list of argument injection vectors

  Language:HTML403

• swisskyrepo/PayloadsAllTheThings

  A list of useful payloads and bypass for Web Application Security and Pentest/CTF

  Language:Python62.4k14.9k

• OISF/suricata-update

  The tool for updating your Suricata rules.

  Language:Python26294

• HynekPetrak/javascript-malware-collection

  Collection of almost 40.000 javascript malware samples

  Language:JavaScript687239

• WestHealth/pyvis

  Python package for creating and visualizing interactive network graphs.

  Language:HTML1k177

• ruleminer/FI-rules4XAI

  Repository for paper "Fusion of rule induction and XAI-based feature importance for explaining decisions of black box models for tabular data"

  Language:HTML3

• ICL-ml4csec/EarlyCrowAPT

  Language:Python52

• dselivanov/text2vec

  Fast vectorization, topic modeling, distances and GloVe word embeddings in R.

  Language:R854134

• redcanaryco/atomic-red-team

  Small and highly portable detection tests based on MITRE's ATT&CK.

  Language:C10k2.8k

• uber-common/metta

  An information security preparedness tool to do adversarial simulation.

  Language:Python1.1k153

• tfjmp/provenance-papers

  9621

• ICL-ml4csec/Mateen

  Code for Mateen: Adaptive Ensemble Learning for Network Anomaly Detection

  Language:Python31

• asrocha/exploitdb-API

  Language:PHP168

• neo4j-labs/neosemantics

  Graph+Semantics: Import/Export RDF from Neo4j. SHACL Validation, Model mapping and more.... If you like it, please ★ ⇧

  Language:Java842143

• MilesCranmer/PySR

  High-Performance Symbolic Regression in Python and Julia

  Language:Python2.5k224

• MilesCranmer/symbolic_deep_learning

  Code for "Discovering Symbolic Models from Deep Learning with Inductive Biases"

  Language:Python739134

• doriguzzi/lucid-ddos

  A Practical, Lightweight Deep Learning Solution for DDoS Attack Detection

  Language:Python12838

• ahlashkari/CICFlowMeter

  CICFlowmeter-V4.0 (formerly known as ISCXFlowMeter) is an Ethernet traffic Bi-flow generator and analyzer for anomaly detection that has been used in many Cybersecurity datsets such as Android Adware-General Malware dataset (CICAAGM2017), IPS/IDS dataset (CICIDS2017), Android Malware dataset (CICAndMal2017) and Distributed Denial of Service (CICDDoS2019).

  Language:Java556273

• microsoft/dpsgd-calculator

  Language:Jupyter Notebook64

• microsoft/TaskTracker

  TaskTracker is an approach to detecting task drift in Large Language Models (LLMs) by analysing their internal activations. It provides a simple linear probe-based method and a more sophisticated metric learning method to achieve this. The project also releases the computationally expensive activation data to stimulate further AI safety research.

  Language:Jupyter Notebook403

• TrusteeML/emperor

  AI/ML and Cybersecurity: The Emperor has no Clothes

  Language:JavaScript183

• hotpxl/low-rate-tcp-targeted-dos-attacks

  Reproduction of Low-Rate TCP-Targeted Denial of Service Attacks

  Language:Python36

• mitre/caldera

  Automated Adversary Emulation Platform

  Language:Python5.8k1.1k

• hihey54/pragmaticAssessment

  Repository for the EuroS&P'23 paper "SoK: Pragmatic Assessment of Machine Learning for Network Intrusion Detection"

  Language:Jupyter Notebook7

• Azure-Samples/graphrag-accelerator

  One-click deploy of a Knowledge Graph powered RAG (GraphRAG) in Azure

  Language:Python2k341

• risksense/mulval

  A logic-based enterprise network security analyzer

  Language:OpenEdge ABL11229

• mandiant/capa

  The FLARE team's open-source tool to identify capabilities in executable files.

  Language:Python5k569

• cyber-research/APTMalware

  APT Malware Dataset Containing over 3,500 State-Sponsored Malware Samples

  31580

• OpenBMB/ChatDev

  Create Customized Software using Natural Language Idea (through LLM-powered Multi-Agent Collaboration)

  Language:Python26.1k3.3k

• ShiArthur03/ShiArthur03

  Language:MATLAB10.3k1.9k