In the RipperSec's telegram channel the cyber attack announcement is detected for Serbatoio Monte San Michele. Italy: Serbatoio Monte San Michele SCADA System Has Been Pawned By RipperSec :comet::it: - Serbatoio Monte San Michele is a water reservoir located in Monte San Michele, Italy, a significant site during World War I. -> :warning: Our Message :warning:: :information_source: Stop Support Israel #FreePalestine
In a hacker forum a new alleged databases leaks are detected for Afasystems and Municipality of Campobasso. Afasystems + Municipality of Campobasso Breach Hey everyone, today I'm gonna tell you how I got into the systems of the municipality of Campobasso and the company that ran those systems. Here are the links: AfaSystems (200GB ~) (https://www.afasystems.it/) Municipality of Campobasso (100GB ~) (https://www.comune.campobasso.it) Basically, it all started with a simple RCE in one of their custom mailing systems (based on CGI and PERL scripts). From there, it was super easy to extract all the files since the server was a single server where everything was hosted. Also, users were connected to an internal LDAP server, which let me grab the list of all employees/customers/users because it allowed anonymous login from LAN. Not much more to say, enjoy the data and PLEASE, IF YOU CAN, DOWNLOAD THEM QUICKLY SINCE MY MEGA ACCOUNT AND/OR LINKS WILL PROBABLY BE CLOSED SOON THANKS TO THOSE...
In a hacker forum a new alleged data leak is detected for Fratelli d'Italia. Today, I present a collection of information that I scraped from curriculums obtained through a directory listing vulnerability on the website of the far-right Italian party, Fratelli d'italia (fratelli-italia.it). What does the data contain? Emails, names, addresses, work experience, courses, languges learned and much more. :3 Such data can be found structured in the json down provided, meanwhile it can be found on the roughly 12-13k curriculums inside the zip (Some files however aren't curriculums) How was the data created? I used AI to make sense of the PDF OCR and make the whole process automatic, however due to some pdfs either being unreadable or some other issues, around a thousand records are missing. :( How can i help with the data? I would really appreciate if someone helped clean the json (which still contains some weird entries such as nameless ones) or helped add the missing entries, i...