Server Scanner detect rootkit and backdoor

Official repository for CVPR'23 paper: Detecting Backdoors in Pre-trained Encoders

Generate deterministic semantic fingerprints for Go functions. Detect xz-style backdoors and verify semantic equivalence using Static Single Assignment (SSA) analysis and Scalar Evolution.

BackdoorMBTI is an open source project expanding the unimodal backdoor learning to a multimodal context. We hope that BackdoorMBTI can facilitate the analysis and development of backdoor defense methods within a multimodal context.

This repository is the official implementation of the paper "ASSET: Robust Backdoor Data Detection Across a Multiplicity of Deep Learning Paradigms." ASSET achieves state-of-the-art reliability in detecting poisoned samples in end-to-end supervised learning/ self-supervised learning/ transfer learning.

[ECCV'24] T2IShield: Defending Against Backdoors on Text-to-Image Diffusion Models

[CCS'24] Official Implementation of "Fisher Information guided Purification against Backdoor Attacks"

[TPAMI 2025] Dynamic Attention Analysis for Backdoor Detection in Text-to-Image Diffusion Models

Unofficial implementation of the detector cleanse in the paper "BadDet: Backdoor Attacks on Object Detection."

Official PyTorch implementation of "Scanning Trojaned Models Using Out-of-Distribution Samples" (NeurIPS 2024)

Educational research demonstrating weight manipulation attacks in SafeTensors models. Proves format validation alone is insufficient for AI model security.

Rubber Ducky is an awareness initiative focused on educating individuals and organizations about potential cybersecurity threats that can be delivered through USB devices, particularly targeting issues like ransomware, backdoors, and keyloggers. Leveraging the concept of Bad USB and the functionality of Rubber Ducky USBs.

GoBack is a simple tool for "Goleki backdoor"

Solution for the Third Challenge of the Main Phase in the Rayan International AI Contest: Backdoored Model Detection.

Runtime dependency-behavior monitor for Node.js. Two engines: in-process telemetry + an out-of-process (strace) trust boundary that sees native egress & persistence. Defense-in-depth for npm supply-chain attacks — SARIF, GitHub Action, zero deps.

RKHUNTER LIVE is an immersive, interactive training platform for learning rootkit detection and malware forensics on Linux systems. Featuring a fully simulated rkhunter, chkrootkit, AIDE, and Lynis environment, this platform allows security professionals and students to practice identifying kernel rootkits, rootkits, userland rootkits🕵🏿.

Awesome-DL-Security-and-Privacy-Papers

Complete PowerShell toolkit to audit, detect backdoors, and clean orphaned AdminSDHolder (AdminCount=1) accounts. Language-agnostic using Well-Known SIDs. Works on any Active Directory.

General Test-Time Backdoor Detection in Split Neural Network-Based Vertical Federated Learning

DEB: A Two-Stage Backdoor Defense for Split Neural Network-Based Vertical Federated Learning