#WebDetetive

Benjamin Carr, Ph.D. 👨🏻‍💻🧬BenjaminHCCarr@hachyderm.io
2023-09-02

Brazilian #phone #spyware was hacked and victims’ devices ‘deleted’
The #Portuguese-language app #WebDetetive was used to compromise over 76,000 #android phones to date
The hackers said dashboard access allowed them to delete victim devices from the spyware network altogether, effectively severing the connection at the server level to prevent the device from uploading new data. “Which we definitely did. Because we could. Because #fuckstalkerware,” the hackers wrote.
techcrunch.com/2023/08/26/braz

Miguel Afonso Caetanoremixtures@tldr.nettime.org
2023-08-29

#Cybersecurity #Hacking #Spyware #Brazil #WebDetetive: "Portuguese-language spyware called WebDetetive has been used to compromise more than 76,000 Android phones in recent years across South America, largely in Brazil. WebDetetive is also the latest phone spyware company in recent months to have been hacked.

In an undated note seen by TechCrunch, the unnamed hackers described how they found and exploited several security vulnerabilities that allowed them to compromise WebDetetive’s servers and access its user databases. By exploiting other flaws in the spyware maker’s web dashboard — used by abusers to access the stolen phone data of their victims — the hackers said they enumerated and downloaded every dashboard record, including every customer’s email address.

The hackers said that dashboard access also allowed them to delete victim devices from the spyware network altogether, effectively severing the connection at the server level to prevent the device from uploading new data. “Which we definitely did. Because we could. Because #fuckstalkerware,” the hackers wrote in the note."

techcrunch.com/2023/08/26/braz

Leonie Tanczerleotanczt
2023-08-27

A Portuguese-language called has been used to compromise more than 76,000 phones in recent years across South America, mainly in Brazil:

➡️ techcrunch.com/2023/08/26/braz

Client Info

Server: https://mastodon.social
Version: 2025.04
Repository: https://github.com/cyevgeniy/lmst