[QILIN] – Ransomware Victim: Kudela & Weinheimer

AI Generated Summary of the Ransomware Leak Page

On October 19, 2025, a leak post attributed to the ransomware group qilin identifies Kudela & Weinheimer as a victim. Kudela & Weinheimer is a United States–based firm operating in the business services sector. The post frames the incident as a data-leak event rather than a traditional encryption breach, claiming that data has been exfiltrated and could be released publicly or made available for download, which aligns with extortion-style ransomware campaigns. The post date corresponds to the leak’s publication date (October 19, 2025); no separate compromise date is provided, so the post date stands as the event reference. A claim URL is indicated, but no explicit ransom figure is disclosed in the accessible text. The page includes three attached images that appear to be internal documents or screenshots; their exact contents are not described in detail. The sanitized excerpt reveals a redacted Jabber contact and an anonymized TOX value, along with a redacted FTP reference, all of which are typical artifacts in leak postings and are redacted in this summary to protect sensitive details.

Taken together, the page’s structure signals a conventional extortion post: a named victim, a threat-actor alias, multiple image attachments, and anonymized channels for contact or verification. There is no disclosed ransom amount or data type in the visible material, and the post date remains the temporal reference since no compromise date is provided. The presence of a claim URL suggests a path to verify the breach or negotiate, but the exact details remain undisclosed in this entry. The three images implied by the leak are described only in general terms, indicating they are likely internal documents or screenshots. This entry underscores the ongoing risk to US-based professional services firms from extortion-based ransomware campaigns and illustrates the standard post-incident pattern used by threat actors to pressure victims without revealing precise data categories or demands in the initial disclosure.