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Analyze » ALPHV Technologies » ALP1777732038

Incident Score: Analysis & Impact (ALP1777732038)

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

Rankiteo Score Impact Analysis

Rankiteo Incident Impact-250
Company Score Before Incident649 / 1000
Company Score After Incident399 / 1000
INCIDENT NUMBERALP1777732038
Type of Cyber IncidentRansomware
ATTACK VECTORRansomware-as-a-Service (RaaS)
DATA EXPOSEDSensitive patient data leaked
INCIDENT DATE29/04/2026
STATUSClosed (sentencing completed)

Key Highlights From The Incident Analysis

  • Timeline of ALPHV Technologies's Ransomware 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 ALPHV Technologies 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 ALPHV Technologies breach identified under incident ID ALP1777732038.

The analysis begins with a detailed overview of ALPHV Technologies's information like the linkedin page: https://www.linkedin.com/company/alphv-technologies, the number of followers: 535, the industry type: IT Services and IT Consulting and the number of employees: 11 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 649 and after the incident was 399 with a difference of -250 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 ALPHV Technologies and their customers.

On 30 April 2026, a cybersecurity incident called "Cybersecurity Professionals Sentenced for Ransomware Extortion Scheme" came to light.

Two former cybersecurity experts, Ryan Goldberg (40) and Kevin Martin (36), were sentenced to four years in prison for their roles in a ransomware extortion operation.

The disruption is felt across the environment, and exposing Sensitive patient data leaked, plus an estimated financial loss of $1.2 million (from a single victim).

In response, moved swiftly to contain the threat with measures like FBI disrupted ALPHV’s network, deployed a decryption tool, and began remediation that includes Decryption tool allowed victims to recover data without paying.

The case underscores how Closed (sentencing completed).

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 Phishing: Spearphishing Attachment (T1566.001) with moderate confidence (50%), supported by evidence indicating exploited their industry expertise to orchestrate attacks and Valid Accounts (T1078) with moderate to high confidence (80%), supported by evidence indicating former cybersecurity experts...used ALPHV’s RaaS platform. Under the Execution tactic, the analysis identified User Execution: Malicious File (T1204.002) with high confidence (90%), supported by evidence indicating aLPHV (BlackCat) ransomware-as-a-service (RaaS) platform. Under the Persistence tactic, the analysis identified Valid Accounts (T1078) with moderate to high confidence (70%), supported by evidence indicating exploited their industry expertise...targeted over 1,000 victims. Under the Privilege Escalation tactic, the analysis identified Valid Accounts (T1078) with moderate to high confidence (70%), supported by evidence indicating insider information to inflate ransom demands. Under the Defense Evasion tactic, the analysis identified Valid Accounts (T1078) with moderate to high confidence (80%), supported by evidence indicating former cybersecurity experts...evaded authorities for months and Execution Guardrails (T1480) with moderate confidence (60%), supported by evidence indicating raaS platform to target victims worldwide. Under the Credential Access tactic, the analysis identified Unsecured Credentials: Credentials In Files (T1552.001) with moderate confidence (60%), supported by evidence indicating insider information to inflate ransom demands. Under the Discovery tactic, the analysis identified Account Discovery (T1087) with moderate to high confidence (70%), supported by evidence indicating targeted over 1,000 victims worldwide. Under the Lateral Movement tactic, the analysis identified Remote Services: Remote Desktop Protocol (T1021.001) with moderate confidence (60%), supported by evidence indicating exploited their industry expertise to orchestrate attacks. Under the Collection tactic, the analysis identified Data from Local System (T1005) with high confidence (90%), supported by evidence indicating sensitive patient data leaked to coerce victims. Under the Command and Control tactic, the analysis identified Application Layer Protocol: Web Protocols (T1071.001) with moderate to high confidence (80%), supported by evidence indicating raaS platform used to orchestrate attacks. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with high confidence (90%), supported by evidence indicating data exfiltration such as Yes, sensitive patient data leaked. Under the Impact tactic, the analysis identified Data Encrypted for Impact (T1486) with high confidence (100%), supported by evidence indicating ransomware encryption such as Yes, ALPHV (BlackCat) strain and Defacement: Internal Defacement (T1491.001) with moderate to high confidence (70%), supported by evidence indicating leaking sensitive patient data to coerce victims. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.

Initial Access
Phishing: Spearphishing Attachment (50%)
Valid Accounts (80%)
Execution
User Execution: Malicious File (90%)
Persistence
Valid Accounts (70%)
Privilege Escalation
Valid Accounts (70%)
Defense Evasion
Valid Accounts (80%)
Execution Guardrails (60%)
Credential Access
Unsecured Credentials: Credentials In Files (60%)
Discovery
Account Discovery (70%)
Lateral Movement
Remote Services: Remote Desktop Protocol (60%)
Collection
Data from Local System (90%)
Command and Control
Application Layer Protocol: Web Protocols (80%)
Exfiltration
Exfiltration Over C2 Channel (90%)
Impact
Data Encrypted for Impact (100%)
Defacement: Internal Defacement (70%)

Sources & References