Centro Médico Especializado OSI ransomware attack
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Healthcare provider Centro Médico Especializado OSI compromised with 222 user credentials exposed.
Centro Médico Especializado OSI, a healthcare solutions provider, has been identified as a ransomware victim. The breach resulted in the compromise of 222 user credentials and one third-party employee credential. The organization's external attack surface included 13 exposed DNS records. This incident appears to be indexed by ransomware.live as part of public reporting on ransomware operations. The compromise represents a data exposure event affecting healthcare infrastructure and employee access credentials.
Mentioned in this report
Detection guidance
Packet Capture or Network Sniffing Tool Execution on Windows
Detects execution of packet-capture utilities (tshark, dumpcap, WinDump) or built-in capture via netsh trace and pktmon, which attackers use to sniff credentials on the network. Auto-generated starting point — validate and tune in your environment before deploying. IOC matches can false-positive on shared infrastructure and decay as adversary infrastructure rotates.
title: Packet Capture or Network Sniffing Tool Execution on Windows
description: Detects execution of packet-capture utilities (tshark, dumpcap, WinDump)
or built-in Windows capture features (netsh trace start, pktmon start) that adversaries
use to sniff credentials from network traffic. Context is needed, as admins and
network engineers also use these tools.
tags:
- attack.credential-access
- attack.discovery
- attack.t1040
logsource:
category: process_creation
product: windows
detection:
selection_tools:
Image|endswith:
- \tshark.exe
- \dumpcap.exe
- \windump.exe
selection_netsh:
Image|endswith: \netsh.exe
CommandLine|contains|all:
- trace
- start
selection_pktmon:
Image|endswith: \pktmon.exe
CommandLine|contains: start
condition: 1 of selection_*
falsepositives:
- Network or helpdesk engineers capturing traffic to troubleshoot connectivity
- Security teams running Wireshark/dumpcap for authorised analysis
level: medium
id: d9182904-6d12-501c-87f6-f0dd0107b845
status: experimental
author: Vorant
references:
- https://www.ransomware.live/id/Q2VudHJvIE3DqWRpY28gRXNwZWNpYWxpemFkbyBPU0k6IEhlYWx0aGNhcmUgU29sdXRpb25zQGthenU=
Network Brute-Force Tool Execution on Linux
Detects execution of well-known online password brute-forcing tools (hydra, medusa, ncrack) on Linux hosts. Auto-generated starting point — validate and tune in your environment before deploying. IOC matches can false-positive on shared infrastructure and decay as adversary infrastructure rotates.
title: Network Brute-Force Tool Execution on Linux
description: Detects execution of online password-guessing tools such as hydra, medusa
and ncrack on Linux hosts, consistent with brute-force or credential-stuffing against
exposed services.
tags:
- attack.credential-access
- attack.t1110
logsource:
category: process_creation
product: linux
detection:
selection:
Image|endswith:
- /hydra
- /medusa
- /ncrack
condition: selection
falsepositives:
- Authorised penetration tests or red-team exercises
- Security staff auditing password strength on internal systems
level: high
id: 8d694bc0-2a59-535e-81fe-0a8b3dbf2d2d
status: experimental
author: Vorant
references:
- https://www.ransomware.live/id/Q2VudHJvIE3DqWRpY28gRXNwZWNpYWxpemFkbyBPU0k6IEhlYWx0aGNhcmUgU29sdXRpb25zQGthenU=
1 more detection for this report is in the app — the rules that match its indicators, plus the Sigma rules already converted to Splunk SPL, to Elastic where their fields map onto Elastic's integrations and to Microsoft Defender XDR KQL wherever Defender records the activity, and the YARA and Suricata. Three days of it free, no card.
Behavioural rules are generated from public reporting — validate in your environment before deploying.
Source reporting: https://www.ransomware.live/id/Q2VudHJvIE3DqWRpY28gRXNwZWNpYWxpemFkbyBPU0k6IEhlYWx0aGNhcmUgU29sdXRpb25zQGthenU=
What this brief leaves out
This page is the free tier: the write-up, the severity, the names. In the app the same report carries its extracted indicators, its detections (Splunk SPL already written, plus Elastic and Microsoft KQL where they apply), the actors and CVEs it names as live profiles, and the vendor research on the same campaign — the primary source the news paraphrased, cited and read directly.
It sits in a corpus of 13,854 reports from 146 sources, 614 of them written in the last seven days, and it grows through the day.
A new account starts with three days of all of it, no card, then keeps the government and CERT reporting free. Name the vendors you run and Slack hears about the reports that touch them — about forty a week that are yours, not the four hundred that are not.
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