document-security

Local privacy preflight for files, folders, and archives—catch secrets, PII, metadata, and hidden document content before sharing.

ScriptoX is a versatile tool that enables users to create SVG and PDF files with embedded JavaScript code.

Detects hidden text and prompt injection in PDF and DOCX documents: white-on-white text, sub-legible fonts, off-page text, invisible render mode and invisible Unicode characters.

Official implementation of VIF: A novel constructive watermarking system for document security and forensic tracking using Morphological Dilation and AI-OCR. [Patent Pending - SAIP]

Reads a PDF and reports what is still inside it that you may not mean to send: text under a box that was never removed, an earlier version of the file, an attachment, a name in the properties. Runs entirely on your machine.

Banking-optimized signature verification with Siamese CNN - Contrastive learning for forgery detection with high recall for fraud prevention

PDF Forensics Analyzer — FastAPI web application for automated PDF tampering detection, xref revision analysis, digital signature verification, and visual diff generation.

A malicious forensic triage toolkit for examining Office and PDF files for advanced forms of malware payloads before execution in sensitive environments.

Permanently redact sensitive text from PDF documents — native macOS app with irrecoverable text removal

Redact PDFs on your own machine. Content is removed from the file, not hidden under a black rectangle, and a post-redaction audit blocks any export that still contains it.

Python toolkit building intelligent document containers — ordinary .docx and .odt files that also carry signed, encrypted payloads through five OOXML/ODF channels: custom XML parts, package parts, metadata properties, image LSB steganography, and MCE AlternateContent. Ed25519 manifests, AES-256-GCM, Merkle binding.

Prevent signature theft through cryptographic binding and steganography

Unified scanner for source code and documents — rule-based vulnerability and malware detection

See exactly what the model reads. Open-source document trust scanner and benchmark for AI pipelines.

File integrity scanner detecting hidden, concealed, or adversarial content across 23 file kinds. Input-layer application of the Munafiq Protocol

Research code for robust local-region image watermarking with adaptive geometric correction.

Fail-closed document inspection before untrusted files reach an LLM

AI-powered Content Disarm & Reconstruction engine for PDF and DOCX files. Detects and strips malicious JavaScript, macros, OLE objects, and embedded threats using PyMuPDF, python-docx, and Groq LLM analysis. Built with FastAPI + vanilla JS frontend.

Vet the applicants. Employer-side resume screening: scores each CV against your JD and flags hidden text, prompt injection, keyword stuffing and padded claims, with PDF reports. Workspace, CLI and Windows app. Scores visible text only. Demo: vetta-vet-applicants.netlify.app | Proprietary, use requires permission: thisisanoopshekhar89@gmail.com

Bulk metadata scrubbing for PDF, Office and image files — CLI, local web UI and a REST API, with a before/after proof report.