[FUNKSEC] – Ransomware Victim: mandarin[.]com[.]br
![[FUNKSEC] - Ransomware Victim: mandarin[.]com[.]br 1 image](https://www.redpacketsecurity.com/wp-content/uploads/2024/09/image.png)
Ransomware Group: FUNKSEC
VICTIM NAME: mandarin[.]com[.]br
NOTE: No files or stolen information are [exfiltrated/downloaded/taken/hosted/seen/reposted/disclosed] by RedPacket Security. Any legal issues relating to the content of the files should be directed at the attackers directly, not RedPacket Security. This blog is simply posting an editorial news post informing that a company has fallen victim to a ransomware attack. RedPacket Security is in no way affiliated or aligned with any ransomware threat actors or groups and will not host infringing content. The information on this page is fully automated and redacted whilst being scraped directly from the FUNKSEC Onion Dark Web Tor Blog page.
AI Generated Summary of the Ransomware Leak Page
The ransomware leak page for Mandarin.com.br, a Brazilian technology solutions provider, was discovered on February 28, 2025. The company specializes in digital tools aimed at enhancing online strategies for a diverse client base, including individual customers and corporations. The services include email marketing programs, eCommerce platform management, and customer relationship management tools. This extensive range of offerings underscores the company’s focus on helping users optimize their digital presence and increase sales performance.
Details from the leak suggest that Mandarin.com.br may have been affected by data breach activities that involve a group known as Funksec. The leak references a number of individuals and third parties potentially impacted, with 4 users and 4 third-party entities identified in the context of this incident. Although the full extent of the data leak is not publicly disclosed, the presence of extracted information implies that sensitive data may be at risk. Additionally, the page includes a screenshot illustrating components of the breach, reflecting the original content captured during the incident.
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