[SINOBI] – Ransomware Victim: SanDiego Automotive Museum

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NOTE: No files or stolen information are exfiltrated, downloaded, taken, hosted, seen, reposted, or disclosed by RedPacket Security. Any legal issues relating to the content should be directed at the attackers, not RedPacket Security. This blog is an editorial notice informing that a company has fallen victim to a ransomware attack. RedPacket Security is not affiliated with any ransomware threat actors or groups and will not host infringing content. The information on this page is automated and redacted whilst being scraped directly from the SINOBI Onion Dark Web Tor Blog page.

Ransomware group:
SINOBI
Victim name:
SANDIEGO AUTOMOTIVE MUSEUM

AI Generated Summary of the Ransomware Leak Page

Metadata from the leak entry indicates the victim is SanDiego Automotive Museum, a United States–based institution. The post is attributed to the Sinobi ransomware group. The dataset does not specify the victim’s industry beyond this context. The post date is 2025-10-27 17:38:09.340000; in the absence of an explicit compromise date, this timestamp should be treated as the leak post date rather than a confirmed attack date. A claim URL is indicated as present on the page, suggesting the attackers provide a link to a ransom or data-exposure claim, which is typical for ransomware postings. The dataset does not provide explicit language detailing whether the impact involved encryption or data leakage, nor any ransom figure, so the exact impact claim is not determined from these fields.

The leak page contains no visible images, screenshots, or downloadable artifacts in the scraped data (the record shows zero images and zero downloads). The only additional artifact noted is the presence of a claim URL. The victim name is preserved as SanDiego Automotive Museum; other company names appearing in surrounding text are not the focus of this summary. The museum’s general public-facing description included in the dataset describes its role and IGNITE Academy, but this contextual information is separate from the leak’s content and should not be conflated with the incident narrative.

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