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Source channel @githubtrending · Post #14669 · May 3

#html#htr_tech#phisher#phishing#phishing_attacks#phishing_pages#zphisher Zphisher is a tool that helps create fake login pages for popular websites like Facebook and Google. It offers pre-built templates and can automatically generate phishing URLs, making it easy to use even for beginners. The tool can collect login details entered by victims and send them to the attacker. It supports SSL encryption, making fake pages look more legitimate. Zphisher is meant for educational purposes only and should not be used to break the law. It helps users understand how phishing works, which can be beneficial for learning cybersecurity. https://github.com/htr-tech/zphisher

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MessageInABottle

@mib_messageinabottle · Post #6953 · 05/26/2024, 12:59 PM

🇬🇧#UK #PreCrime "I WAS MISIDENTIFIED AS SHOPLIFTER BY FACIAL RECOGNITION TECH" Sara needed some chocolate - she had had one of those days - so wandered into a #HomeBargains store. "Within less than a minute, I'm approached by a store worker who comes up to me and says, 'You're a thief, you need to leave the store'." Sara - who wants to remain anonymous - was wrongly accused after being flagged by a facial-recognition system called #Facewatch. She says after her bag was searched she was led out of the shop, and told she was banned from all stores using the technology. Facewatch later wrote to Sara and acknowledged it had made an error. The #MetropolitanPolice in #London say that around one in every 33,000 people who walk by its cameras is misidentified. But the error count is much higher once someone is actually flagged. One in 40 alerts so far this year has been a false positive #AI #FacialRecognition