CloakifyFactory - Data Exfiltration & Infiltration In Plain Sight; Convert any filetype into list of everyday strings, using Text-Based Steganography; Evade DLP/MLS Devices, Defeat Data Whitelisting Controls, Social Engineering of Analysts, Evade AV Detection

PacketWhisper: Stealthily exfiltrate data and defeat attribution using DNS queries and text-based steganography. Avoid the problems associated with typical DNS exfiltration methods. Transfer data between systems without the communicating devices directly connecting to each other or to a common endpoint. No need to control a DNS Name Server.

Finding exposed secrets and personal data in GitLab

Monitoring GitHub for sensitive data shared publicly

Xiangxin Guardrails is an open-source, context-aware AI guardrails platform that provides protection against prompt injection attacks, content safety risks, and data leakage. It can be deployed as a security gateway or integrated via API, offering enterprise-grade, fully private deployment options.

A python client used to interact with the Private AI's API

Monitoring your Slack Enterprise Grid for sensitive information

DLP and Firewall test suite

Scan directories, exports, and backups for sensitive data (like PII and API keys) with Nightfall's data loss prevention (DLP) APIs. Discover what lives at-rest in your data silos.

Anycubic Photon S tools

Library of Crypto exploits

NYCU 深度學習與實驗 Deep Learning Spring 2024

Identify and classify data in your text files with Python.

Tutorial to build a lightweight endpoint DLP scanner that scans files on your device in real-time for sensitive data like PII & secrets using Nightfall's data loss prevention APIs.

a simple lightweight windows DLP client for data at rest

Python control for Texas Instruments DMDs with a DLPC900 controller.

Core Module for Magen Data Leak Prevention Software

Audio Diffusion

mamba_dlp scans your cloud for sensitive data

A lightweight, highly configurable tool for scanning files for personally identifiable information (PII) and other sensitive data. It uses AWS Comprehend and custom regex patterns, supports fast multi-threaded execution, and can run as a standalone tool or as a GitHub Action.