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Home of leaks🔞🍆🍑 76 942 subscribers trending,teens,leaks and all romours in around america,europe and africa 🇨🇭🚩🚩 view in telegram preview channel The data appears to have been sourced from a combination of existing combolists and info stealer malware. Learn what this latest credentials tells us about telegram, infostealers, and the threat actor alien txtbase.
361 million stolen accounts exposed in Telegram combolist leak - TechBriefly
In yet another sign of cybercriminals shifting their tactics, have i been pwned (hibp) has added over 284 million compromised accounts harvested from stealer malware and leaked on telegram Mon, 03 jun 2024 19:10:. This dataset, discovered in a massive 1.5tb trove of logs from the alien txtbase channel, underscores the growing role of messaging platforms in cybercrime.
In recent days, the cybersecurity community has been alarmed by the emergence of a massive data leak known as alien txtbase, which was recently indexed on have i been pwned (hibp)
A trove of 361 million email addresses has been added to have i been pwned Check whether your account credentials have been compromised. The leak of 361 million unique email credentials on telegram channels is a significant data breach, with 151 million previously unseen addresses now loaded into hibp This incident underscores the importance of robust cybersecurity measures and the need for users to remain vigilant about their online credentials.
A massive telegram database leak has been published by the user namolesa on darkforums.st, containing over 70 million records spanning from 2020 to 2025 This csv dataset includes user ids, phone numbers, usernames, first names, and last names, compromising sensitive identity information of telegram users worldwide. In may 2024, 2b rows of data with 361m unique email addresses were collated from malicious telegram channels The data contained 122gb across 1.7k files with email addresses, usernames, passwords and in many cases, the website they were entered into
The data appears to have been sourced from a combination of existing combolists and info stealer malware
