[QILIN] – Ransomware Victim: girv
![[QILIN] - Ransomware Victim: girv 1 image](https://www.redpacketsecurity.com/wp-content/uploads/2024/09/image.png)
Ransomware Group: QILIN
VICTIM NAME: girv
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 QILIN Onion Dark Web Tor Blog page.
AI Generated Summary of the Ransomware Leak Page
The leak page pertains to Girva International Broker Srl, a manufacturing company situated in Castellammare di Stabia, Campania, Italy. The organization operates within the automobile dealership sector, employing between 10 to 19 people and generating revenue in the range of 1 to 5 million euros. The compromise was officially discovered on June 9, 2025, with the attack date listed as June 8, 2025. This suggests that the company was targeted in a recent cyberattack that led to sensitive data being leaked on the dark web.
The page includes a screenshot displaying internal documents or system interfaces, indicating that the threat actors have accessed proprietary or confidential information. The presence of a dedicated claim URL provides proof of the breach and typically offers a portal for verification or further details. Although no specific data contents are publicly disclosed, the leak implies potential exposure of business operations or customer information. This attack highlights the importance for manufacturing and automotive companies to bolster cybersecurity measures against ransomware threats, especially in industries handling sensitive commercial data.
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