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Cyber Threat
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Ransomware victim Healthcare

University Diagnostic Medical Imaging, PC (udmi.net)

Listed by Fog on · organisation based in United States

udmi.net

Disclosed
Mar 13, 2025
Leak-site listing date
Threat group
Fog
189 victims listed
Country
United States
#1 most targeted
Sector
Healthcare

ThreatAI analysis

Compiled from this incident record and the threat intelligence profile for Fog. Figures and technique mappings are quoted from the source data, not inferred.

About the Fog group

Fog, which uses the .flocked extension for encrypted files, was first observed in May in campaigns by Storm-0844, a threat actor known for distributing Akira. By June, Storm-0844 was deploying Fog more than Akira. Fog has listed 189 victims since December 2021.

Incident analysis

University Diagnostic Medical Imaging, PC (udmi.net) was listed by Fog ransomware, a group with 189 victims recorded in this database. The listing appeared on the group's leak site on March 13, 2025.

University Diagnostic Medical Imaging, PC (udmi.net) is based in United States and operates in the Healthcare sector. United States ranks #1 worldwide for ransomware disclosures, with 10,335 victims in this database.

Sector context. Healthcare organisations are high-value ransomware targets because patient data is extremely sensitive, regulatory penalties for breaches are severe, and operational downtime can threaten patient safety — all factors that increase ransom payment pressure.

Fog typically follows a double extortion model: data is exfiltrated from the victim's systems before files are encrypted, so the victim faces two demands at once — pay to restore access, and pay to keep stolen data unpublished. The leak site, where this listing appeared, is the lever for the second demand.

Source. Public leak-site disclosures aggregated via the ransomware.live API. The disclosure date is when the listing was published, which can differ from the date of compromise. This site does not publish or link to stolen data. Last updated .

Frequently asked questions

Was University Diagnostic Medical Imaging, PC (udmi.net) attacked by ransomware?

Yes. University Diagnostic Medical Imaging, PC (udmi.net) was listed as a victim of the Fog ransomware group on March 13, 2025. The organisation is based in United States and operates in the Healthcare sector. The disclosure appeared on the group's dark web leak site.

Which ransomware group attacked University Diagnostic Medical Imaging, PC (udmi.net)?

University Diagnostic Medical Imaging, PC (udmi.net) was attacked by Fog ransomware. Fog is one of the most active ransomware groups, having claimed 189 victims globally. The group typically employs a double-extortion model: encrypting the victim's files and threatening to publish stolen data.

When did the University Diagnostic Medical Imaging, PC (udmi.net) ransomware attack occur?

The ransomware attack on University Diagnostic Medical Imaging, PC (udmi.net) was disclosed on March 13, 2025. This date reflects when the victim was published on the threat group's leak site, which may differ from the actual date of initial compromise.

What data was stolen in the University Diagnostic Medical Imaging, PC (udmi.net) ransomware attack?

The specific data stolen from University Diagnostic Medical Imaging, PC (udmi.net) has not been independently verified by this platform. Ransomware groups typically exfiltrate data before encrypting systems and use the threat of publication to pressure victims. As a Healthcare organisation, University Diagnostic Medical Imaging, PC (udmi.net) likely held patient records, medical data, and personally identifiable information (PII).

How can organisations protect against Fog attacks?

To defend against Fog and similar threat actors, organisations should: maintain regular offline backups tested for restoration; implement network segmentation to limit lateral movement; deploy multi-factor authentication on all remote access; use endpoint detection and response (EDR) tools; conduct regular phishing and security awareness training; and monitor threat intelligence feeds for indicators of compromise (IOCs) associated with active groups.