822 matches found
Kaonashi
Kaonashi Project: RootedCON 2019 This repository contains several directories: Sorted Masks for hashcat Advanced Rules for hashcat Links to download the Kaonishi's Wordlists Slides used in our talk I know your p4$$w0rd and if I don't, I will guess it... at RootedCON 2019 A clone may not be...
challenge_repo
English · Türkçe The claim We built a random number generator that takes RF noise , runs it through a proprietary neural conditioning stage , and post-processes the result with SHA-3 / SHAKE-256. We claim the output is indistinguishable from an ideal random source — that no statistical or learned...
eyeballer
Eyeballer Give those screenshots of yours a quick eyeballing. Eyeballer is meant for large-scope network penetration tests where you need to find "interesting" targets from a huge set of web-based hosts. Go ahead and use your favorite screenshotting tool like normal EyeWitness or GoWitness and th...
nCPU
A complete computer in which every layer — arithmetic, OS, compiler, display — is either a trained neural network or runs entirely on GPU. The model doesn't run on the computer. The model is the computer. nCPU is one repository pursuing one thesis from five directions: a computer can be built out...
AntiVE-BehaviorWatch
AntiVE-BehaviorWatch Embedded AI-powered human behavior verification for cybersecurity research. What is AntiVE-BehaviorWatch? AntiVE-BehaviorWatch is a Windows-based cybersecurity research project that explores a new approach to execution control using embedded artificial intelligence. Instead o...
deep-pwning
Deep-pwning is a lightweight framework for experimenting with machine learning models with the goal of evaluating their robustness against a motivated adversary. Note that deep-pwning in its current state is no where close to maturity or completion. It is meant to be experimented with, expanded...
recipe-blog-encoding
recipe-blog-encoding !WARNING This project is entirely vibe-coded likely partially plagiarized from this repository and the author is a dumb-dumb who just thought the idea was funny Use SEO-gaming recipe preambles as a vehicle for encoding secret messages the prompt can really be anything though,...
Insider-Threat
Insider Threat Graph Models R5.2 & R6.2 This repository contains data preparation, feature extraction, and graph-based models GCN-NN, GCN-BiLSTM, and GCN-BiLSTM+Attention for implicit+explicit signals for insider-threat detection using the CMU CERT Insider Threat Test Dataset R5.2, R6.2. Reposito...
weightBufs
WeightBufs: WeightBufs is a kernel r/w exploit for all Apple devices with Neural Engine support. Bugs and Exploit by @simo36, you can read my presentation slides at POC for more details about the vulnerabilities and the exploitation techniques. The exploit doesn't rely on any hardcoded address or...
Intel Neural Compressor <2.5.0 - SQL Injection
Improper input validation in some IntelR Neural Compressor software before version 2.5.0 may allow an unauthenticated user to potentially enable escalation of privilege via remote access. id: CVE-2024-22476 info: name: Intel Neural Compressor 2.5.0 - SQL Injection author: ritikchaddha,daffainfo...
ane
Asahi Neural Engine Reverse engineered Linux driver for the Apple Neural Engine ANE. All things Linux here. ane/: Kernel module ane.ko. Should move into tree soon. docs/: Documentation. WIP. Please don't look. libane/: Userspace lib. python/: Python bindings for libane...
craw
CRAW: Codec Robust Audio Watermarking Source code for CRAW , a robust audio watermarking method built on STFT-magnitude-domain embedding. An encoder embeds a binary message into an audio clip's magnitude spectrogram phase is preserved from the clean signal; a decoder recovers the message under a...
robustness
robustness package Install via pip: pip install robustness Read the docs: https://robustness.readthedocs.io/en/latest/index.html robustness is a package we students in the MadryLab created to make training, evaluating, and exploring neural networks flexible and easy. We use it in almost all of ou...
CVE-2022-32898
CVE-2022-32898: ANEProgramCreate multiple kernel memory corruption Nov 23, 2022 • Mohamed GHANNAM @simo36 저자 commnet I'm sharing two other iOS kernel vulnerabilities reachable from the default app sandbox that don’t require you to open a UserClient: +16 kernel bugs I reported to Apple have been...
backdoor-learning-resources
Backdoor Learning Resources This Github repository summarizes a list of Backdoor Learning resources. For more details and the categorization criteria, please refer to our survey. We will try our best to continuously maintain this Github Repository in a monthly manner. Why Backdoor Learning?...
T-Backdoor
Sample Codes for the paper: 'T-Backdoor: Exploiting Temporal Redundancy in Neuromorphic Data for Spike-preserving Backdoor Attacks on SNNs' Abstract Backdoor attacks are a serious security threat to deep neural networks DNNs and remain largely underexplored for spiking neural networks SNNs...
certified-unlearning-neural-networks-icml-2025
Certified Unlearning for Neural Networks This repository contains the implementation for the paper "Certified Unlearning for Neural Networks" ICML 2025. Methods PABI Privacy Amplification by Iteration : Gradient Clipping in the paper DP-SGD : With group privacy as described in the paper Contracti...
irrd (4.0.0), neural-mmo (>=1.5.1, <=1.5.2.2) +1 more potentially affected by unknown CVE via twisted (19.2.0)
twisted PYPI version 19.2.0 is affected by a known vulnerability. The following packages have a transitive dependency on twisted and may be impacted: - irrd 4.0.0 - neural-mmo =1.5.1, =1.5.2.2 - nmmo 1.5.3.2 Source cves: unknown CVE Source advisory: OSV:GHSA-VPP8-G58W-M8MP...
