GOΠZO
@GONZOs_int
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🧵 3/3 Explore DeepFace UI on GitHub for investigative workflows. Hope it helps! https://t.co/dPZAOUdkB1
github.com
DeepFace UI is a web application for facial recognition and analysis built with DeepFace. It offers an intuitive interface to upload images, automatically extract faces, and perform state-of-the-ar...
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🧵 2/3 Imagine a tool that lets you simply drag & drop images and instantly detects faces - even in cluttered scenes. DeepFace UI automates face extraction so you can focus on what really matters. Compare faces, verify identities, and analyze crucial attributes.
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🧵 1/3 I usually need facial verification for OSINT investigations, and almost every free service forces you to create an account. So, I started exploring open source tech and discovered DeepFace - but it had no UI. Problem solved: https://t.co/dPZAOUdkB1
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Try the online demo and explore the open-source code: ➡️ Online Demo: https://t.co/oOuUxrPckL ➡️ GitHub Repo: https://t.co/QVCoZzbTR6 Sharing this in case it's useful for the community.
github.com
TruffleHog Explorer, a user-friendly web-based tool to visualize and analyze data extracted using TruffleHog. - GONZOsint/trufflehog-explorer
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For efficient management of findings, TruffleHog Explorer also offers: ✅ Batch verification/rejection actions. 📊 Export of findings (JSON, CSV). 💾 Session saving/loading for continued analysis.
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TruffleHog Explorer provides a user-friendly web interface for your findings. Key features include: ✨ Intuitive UI with pastel theme & smooth navigation. 🔍 Powerful filtering by repo, detector, date range & more.
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First, a shoutout to @trufflesec! 🚀 They created TruffleHog, an awesome open-source tool for finding secrets (like API keys & passwords) in code repositories. Now, to help analyze its output, I've created TruffleHog Explorer, a web UI for easier review.
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Here’s my first @Blender creation inspired by @vxunderground. It’s my first day, so if this looks cool, consider it a happy accident. Enjoy! 🔊🔊🔊
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First @NMPHackathon and it was amazing! So much learning and inspiration from everyone. Huge thanks to organizers, volunteers, and my awesome teammates @OSINT_Tactical, @UnShelledSec and @StrayKat73.
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To integrate XHelper with Violentmonkey: - Install Violentmonkey extension. - Click "Install from URL." - Use this URL: https://t.co/SF94xHlqX3 That's it! Expect more helpers in the future.
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XHelper offers a few enhancements for OSINT: - Copy Profile URL - Copy Tweet Content - View Profile on Wayback Machine - Pattern Identification Now, let's move on to the simple installation process using Violentmonkey.
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I've created a simple script, "XHelper," that might be useful for OSINT researchers. It integrates with X/Twitter to offer additional features. In this thread, I'll explain its basics and provide installation steps using Violentmonkey.
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Had a great time at the @TraceLabs Search Party CTF with @StrayKat73, @OSINT_Tactical and @UnShelledSec. Although we didn't take the top spot, we gained valuable insights. A big thank you to all the participants and organizers who made this event possible.
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Learn more about it here: https://t.co/C36fG8VfGp
FEAT✅, the Factcheck Explorer Analysis Tool, enhances users' capabilities to delve into, examine, and visualize fact-checking information. Leveraging the FactCheckExplorer library, it provides broader data access beyond the constraints of Google's Fact Check Explorer.
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Introducing the new online version of FEAT! No installations needed, just dive right in: https://t.co/SoMTptPGda
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For those interested, FEAT is available on GitHub for exploration and use:
github.com
FEAT, short for Factcheck Explorer Analysis Tool, is designed to facilitate the exploration, analysis, and visualization of fact-checking data. - GONZOsint/FEAT
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FEAT is built on the FactCheckExplorer library, the initial inspiration behind its creation. It's available for use in your own projects. Find more details at:
github.com
FactCheckExplorer library provides an easy-to-use Python interface for querying and fetching fact-checking data from Google's Fact Check Explorer tool. This library bypasses the typical fro...
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🗃️ Fact Check Details Section is a table with raw search data, enabling sorting and filtering for in-depth analysis.
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🕸️ Source > Node Network Graph maps connections between sources, offering insights into information dissemination and influence pathways.
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📈 The Claims Timeline and Source Volume chart visualizes the flow of claims over time alongside the activity levels of different sources, highlighting trends and patterns in the dissemination of information.
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