Memorial Hospital and Manor hit by Embargo ransomware attack
Memorial Hospital and Manor in southwest Georgia experienced a ransomware attack, claimed by the Embargo ransomware gang.
Key points
- Embargo ransomware gang claimed responsibility.
- 1.15 TB of data purportedly stolen.
- Electronic health record system and other IT systems were knocked offline.
Connected intelligence
Signal brief
Follow the organization, likely method and potential impact to explore connected Shadow Tier intelligence.
- Published
- Nov 4, 2024
- Updated
- Jul 2, 2026
- Confidence
- High
- Evidence
- 2 sources
Structured assessment
Signal analysis
This analysis groups the signal by industry, likely incident action and impacted security area. It helps compare this signal with other published signals without treating the labels as final determinations.
Threat source
Watch ransomware, endpoint compromise and business interruption exposure.
Business impact
- Impact area
- Confidentiality, Availability
- Likely asset
- User or customer data
Mentioned entities
Quick context
Questions about this signal
What happened in this signal?
Memorial Hospital and Manor in southwest Georgia experienced a ransomware attack, claimed by the Embargo ransomware gang. The attack disrupted its electronic health record system and threatened to leak 1.15 terabytes of stolen data. The incident was discovered on November 2, 2024, with active impacts and reporting occurring on November 4, 2024.
When was this signal reported?
Shadow Tier lists Nov 4, 2024 as the signal date.
Which organization is connected to this signal?
Memorialhospital is the organization connected to this public signal.
Explore MemorialhospitalWhich attack pattern is relevant?
This signal is connected to current ransomware incidents based on its reported incident context.
Explore current ransomware incidentsWhich impact area is relevant?
This signal is connected to data exposure and breach intelligence based on its reported consequences.
Explore data exposure and breach intelligenceRelated signals
Compare shared topics, actors and incident patterns before opening the full signal.
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