Cyber Threat Intelligence
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Ransomware Victim Healthcare

Bauerfeind

Ransomware attack by Direwolf · Disclosed January 9, 2026 · 🇩🇪 Germany

bauerfeind.ca

Date Disclosed
Jan 9, 2026
2026
Threat Group
Direwolf
135 total victims
Country
🇩🇪 Germany
Industry
Healthcare

ThreatAI Analysis

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

About the Direwolf group

Dire Wolf is a sophisticated human-operated ransomware group first documented in May 2025, written in Golang using Curve25519/ChaCha20 encryption, targeting manufacturing and technology sectors across 13+ countries with ransoms up to $500,000, operated by a tight core team rather than a broad affiliate program. Direwolf has listed 131 victims since April 2025.

Vulnerabilities Direwolf is recorded exploiting

5 of these 5 are in the CISA Known Exploited Vulnerabilities catalog, 5 of them recorded by CISA as used in ransomware campaigns. CVEs attributed to Direwolf across its reported activity. There is no indication that any of these was involved in the Bauerfeind incident — the source data does not record an entry point.

Incident Analysis

Bauerfeind was targeted by Direwolf ransomware, one of the most active ransomware groups in our database with 135 confirmed victims globally. The attack was disclosed on January 9, 2026, when Bauerfeind appeared on the group's dark web leak site.

Bauerfeind is based in Germany , operating in the Healthcare sector. Germany ranks #2 globally for ransomware attacks, with 930 victims in our 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.

Direwolf typically employs a double extortion model: first exfiltrating sensitive data from the victim's systems, then deploying ransomware to encrypt files. Victims face two simultaneous threats — paying to restore access and paying to prevent publication of stolen data. The group's leak site publishes victim names and exfiltrated data as leverage.

Data source: This incident record is sourced from public ransomware group leak site disclosures aggregated via the ransomware.live API. Disclosure date reflects when the victim was published on the leak site, which may differ from the initial date of compromise. This platform does not publish or link to stolen data. Last data update: Sep 21, 2026 06:00 UTC.

Frequently Asked Questions

Was Bauerfeind attacked by ransomware?

Yes. Bauerfeind was listed as a victim of the Direwolf ransomware group on January 9, 2026. The organisation is based in Germany and operates in the Healthcare sector. The disclosure appeared on the group's dark web leak site.

Which ransomware group attacked Bauerfeind?

Bauerfeind was attacked by Direwolf ransomware. Direwolf is one of the most active ransomware groups, having claimed 135 victims globally. The group typically employs a double-extortion model: encrypting the victim's files and threatening to publish stolen data.

When did the Bauerfeind ransomware attack occur?

The ransomware attack on Bauerfeind was disclosed on January 9, 2026. 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 Bauerfeind ransomware attack?

The specific data stolen from Bauerfeind 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, Bauerfeind likely held patient records, medical data, and personally identifiable information (PII).

How can organisations protect against Direwolf attacks?

To defend against Direwolf 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.