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Source channel @githubtrending · Post #14934 · Jul 9

#python#3d_reconstruction#3d_vision#monocular_depth_estimation#monocular_geometry_estimation MoGe-2 is a powerful tool for estimating 3D geometry from single images. It can create detailed point maps, depth maps, and normal maps with high precision. This model is especially useful because it can predict geometry in metric scale, meaning it provides accurate measurements. It also enhances visual sharpness, making it better than previous versions. Users benefit from MoGe-2 by getting precise 3D information from just one photo, which is helpful for applications like robotics or video games. It's fast and works well with different image sizes. https://github.com/microsoft/MoGe

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hackspace

@hackspace · Post #1492 · 12/07/2025, 09:54 PM

Simple liner for CVE-2025-55182 React2Shell: subfinder -dL wildcards.txt -all -recursive > subs.txt Nuclei -t CVE-2025-55182.yaml -l final.txt Add FOFA, Shodan,Zoomeye filters : vul.cve="CVE-2025-55182" , asn="REDACTED" && (app="Next.js" || app="React.js") #infosec#cybersec

Libreware

@libreware · Post #1153 · 07/05/2023, 04:07 PM

Snappy: A tool to detect rogue WiFi access points on open networks – Cybersecurity researchers have released a new tool called 'Snappy' that can help detect fake or rogue WiFi access points that attempts to steal data from unsuspecting people. Attackers can create fake access points in supermarkets, coffee shops, and malls that impersonate real ones already established at the location. This is done to trick users into connecting to the rogue access points and relay sensitive data through the attackers' devices. #Cybersec#Python #Wifi#RogueAccessPoints