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Analyze » Houston Methodist » HOULEN1769632931

Incident Score: Analysis & Impact (HOULEN1769632931)

The details regarding individual company incidents & reports gives you full view from every side.

Rankiteo Score Impact Analysis

Rankiteo Incident Impact-65
Company Score Before Incident781 / 1000
Company Score After Incident716 / 1000
INCIDENT NUMBERHOULEN1769632931
Type of Cyber IncidentBreach
ATTACK VECTORUnpatched vulnerability in public-facing S3 bucket
DATA EXPOSEDProtected health information (PHI), recorded...
INCIDENT DATE09/01/2026
STATUSOngoing

Key Highlights From The Incident Analysis

  • Timeline of Houston Methodist's Breach and lateral movement inside company's environment.
  • Overview of affected data sets, including SSNs and PHI, and why they materially increase incident severity.
  • How Rankiteo’s incident engine converts technical details into a normalized incident score.
  • How this cyber incident impacts Houston Methodist Rankiteo cyber scoring and cyber rating.
  • Rankiteo’s MITRE ATT&CK correlation analysis for this incident, with associated confidence level.

Full Incident Analysis Transcript

In this Rankiteo incident briefing, we review the Houston Methodist breach identified under incident ID HOULEN1769632931.

The analysis begins with a detailed overview of Houston Methodist's information like the linkedin page: https://www.linkedin.com/company/houston-methodist, the number of followers: 163098, the industry type: Hospitals and Health Care and the number of employees: 21373 employees

After the initial compromise, the video explains how Rankiteo's incident engine converts technical details into a normalized incident score. The incident score before the incident was 781 and after the incident was 716 with a difference of -65 which is could be a good indicator of the severity and impact of the incident.

In the next step of the video, we will analyze in more details the incident and the impact it had on Houston Methodist and their customers.

On 01 June 2025, Lena Health disclosed Data Breach issues under the banner "AI Healthcare Platform Lena Health Hit by Major Data Breach Exposing Sensitive Patient Data".

On June 1, 2025, cybersecurity researchers uncovered a significant data breach at Lena Health, an AI-powered care coordination platform based in Houston, Texas.

The disruption is felt across the environment, affecting Public-facing S3 bucket, AI care coordination platform, and exposing Protected health information (PHI), recorded phone calls, medical documents, API keys, staff login credentials, with nearly 2,134 patients, 7,500+ recorded phone calls, 68 hospital discharge documents records at risk.

In response, and stakeholders are being briefed through Initial acknowledgment, then ceased communication.

The case underscores how Ongoing.

Finally, we try to match the incident with the MITRE ATT&CK framework to see if there is any correlation between the incident and the MITRE ATT&CK framework.

The MITRE ATT&CK framework is a knowledge base of techniques and sub-techniques that are used to describe the tactics and procedures of cyber adversaries. It is a powerful tool for understanding the threat landscape and for developing effective defense strategies.

MITRE ATT&CK® Correlation Analysis

Rankiteo's analysis has identified several MITRE ATT&CK tactics and techniques associated with this incident, each with varying levels of confidence based on available evidence. Under the Initial Access tactic, the analysis identified Exploit Public-Facing Application (T1190) with high confidence (90%), supported by evidence indicating exploited an unpatched vulnerability in Lena Health’s systems and Server Software Component: Web Shell (T1505.003) with moderate confidence (50%), supported by evidence indicating gained access to an unencrypted, public-facing S3 bucket. Under the Execution tactic, the analysis identified Exploitation for Client Execution (T1203) with moderate to high confidence (70%), supported by evidence indicating unpatched vulnerability...had been publicly disclosed in early December 2024. Under the Credential Access tactic, the analysis identified Unsecured Credentials: Credentials In Files (T1552.001) with moderate to high confidence (80%), supported by evidence indicating aPI keys, staff login credentials...exposed in unencrypted S3 bucket. Under the Collection tactic, the analysis identified Data from Local System (T1005) with high confidence (90%), supported by evidence indicating 2,134 patients’ full PHI, 19,542 recorded phone calls, 68 hospital discharge documents and Data from Cloud Storage (T1213.003) with high confidence (90%), supported by evidence indicating gained access to an unencrypted, public-facing S3 bucket. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate to high confidence (80%), supported by evidence indicating hackers later released redacted samples of the stolen data and Transfer Data to Cloud Account (T1537) with moderate confidence (60%), supported by evidence indicating data breach exposed...sensitive patient data. Under the Impact tactic, the analysis identified Data Destruction (T1485) with lower confidence (30%), supported by evidence indicating no details on malware’s origin or extent of breach and Data Manipulation: Transmitted Data Manipulation (T1565.002) with lower confidence (40%), supported by evidence indicating recorded phone calls with full transcriptions exposed. Under the Defense Evasion tactic, the analysis identified Impair Defenses: Disable or Modify Tools (T1562.001) with moderate confidence (50%), supported by evidence indicating unpatched vulnerability despite patch being available. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.

Initial Access
Exploit Public-Facing Application (90%)
Server Software Component: Web Shell (50%)
Execution
Exploitation for Client Execution (70%)
Credential Access
Unsecured Credentials: Credentials In Files (80%)
Collection
Data from Local System (90%)
Data from Cloud Storage (90%)
Exfiltration
Exfiltration Over C2 Channel (80%)
Transfer Data to Cloud Account (60%)
Impact
Data Destruction (30%)
Data Manipulation: Transmitted Data Manipulation (40%)
Defense Evasion
Impair Defenses: Disable or Modify Tools (50%)

Sources & References