TGINSIGHT SIMILAR POSTS
Source channel @githubtrending · Post #14949 · Jul 12
#jupyter_notebook#darknet#pytorch#scaled_yolov4#yolor#yolov3#yolov4#yolov7 YOLOv7 is a powerful tool for detecting objects in images and videos. It is fast, accurate, and can work well on devices with limited power, making it useful for real-time applications like self-driving cars and surveillance systems. YOLOv7 uses advanced techniques like Feature Pyramid Networks to detect objects of different sizes and can handle complex scenes with overlapping objects. This makes it beneficial for users who need quick and precise object detection in various environments. https://github.com/WongKinYiu/yolov7
Search: #cybersec
@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 · 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