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Analyze » Sygnia » SYGDIG1773455041

Incident Score: Analysis & Impact (SYGDIG1773455041)

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

Rankiteo Score Impact Analysis

Rankiteo Incident Impact-335
Company Score Before Incident621 / 1000
Company Score After Incident286 / 1000
INCIDENT NUMBERSYGDIG1773455041
Type of Cyber IncidentRansomware
ATTACK VECTORInsider access, exploitation of network vulnerabilities
DATA EXPOSEDTrue
INCIDENT DATE12/03/2026
STATUSOngoing (plea hearing scheduled for June 13, sentencing for April 30)

Key Highlights From The Incident Analysis

  • Timeline of Sygnia'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 Sygnia 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 Sygnia breach identified under incident ID SYGDIG1773455041.

The analysis begins with a detailed overview of Sygnia's information like the linkedin page: https://www.linkedin.com/company/sygnia, the number of followers: 26168, the industry type: Computer and Network Security and the number of employees: 260 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 621 and after the incident was 286 with a difference of -335 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 Sygnia and their customers.

A newly reported cybersecurity incident, "Cybersecurity Insider Exposed as Ransomware Mastermind in $75M Extortion Scheme", has drawn attention.

Federal prosecutors unmasked Angelo Martino, a 41-year-old employee of Chicago-based DigitalMint, who allegedly orchestrated ransomware attacks he was hired to negotiate.

The disruption is felt across the environment, affecting Locked systems, data exfiltration, and exposing True, plus an estimated financial loss of $75 million.

Formal response steps have not been shared publicly yet.

The case underscores how Ongoing (plea hearing scheduled for June 13, sentencing for April 30).

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 Valid Accounts (T1078) with high confidence (90%), supported by evidence indicating angelo Martinos role as ransom negotiator provided insider access and Trusted Relationship (T1199) with moderate to high confidence (80%), supported by evidence indicating employee of DigitalMint and Sygnia exploited trusted access. Under the Execution tactic, the analysis identified User Execution: Malicious File (T1204.002) with moderate to high confidence (80%), supported by evidence indicating aLPHV BlackCat ransomware used to lock systems and Command and Scripting Interpreter (T1059) with moderate to high confidence (70%), supported by evidence indicating ryan Clifford Goldberg exploited network vulnerabilities. Under the Persistence tactic, the analysis identified Valid Accounts (T1078) with high confidence (90%), supported by evidence indicating insider access maintained via legitimate employee roles. Under the Privilege Escalation tactic, the analysis identified Valid Accounts (T1078) with moderate to high confidence (80%), supported by evidence indicating exploitation of trusted access for elevated privileges. Under the Defense Evasion tactic, the analysis identified Valid Accounts (T1078) with high confidence (90%), supported by evidence indicating legitimate employee roles used to evade detection and Hide Artifacts: Hidden Window (T1564.003) with moderate confidence (60%), supported by evidence indicating aLPHV BlackCat ransomware strain known for stealth. Under the Credential Access tactic, the analysis identified Unsecured Credentials: Private Keys (T1552.004) with moderate to high confidence (70%), supported by evidence indicating insider access likely provided credentials for exploitation. Under the Discovery tactic, the analysis identified Account Discovery (T1087) with moderate to high confidence (70%), supported by evidence indicating insider knowledge of victim networks for targeted attacks and File and Directory Discovery (T1083) with moderate confidence (60%), supported by evidence indicating data exfiltration suggests discovery of sensitive files. Under the Lateral Movement tactic, the analysis identified Remote Services: Remote Desktop Protocol (T1021.001) with moderate to high confidence (70%), supported by evidence indicating exploitation of network vulnerabilities for movement. Under the Collection tactic, the analysis identified Data from Local System (T1005) with high confidence (90%), supported by evidence indicating data exfiltration confirmed in ransomware attacks. Under the Command and Control tactic, the analysis identified Application Layer Protocol (T1071) with moderate to high confidence (80%), supported by evidence indicating aLPHV BlackCat ransomware known for C2 communication. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with high confidence (90%), supported by evidence indicating data exfiltration confirmed in ransomware attacks. Under the Impact tactic, the analysis identified Data Encrypted for Impact (T1486) with high confidence (90%), supported by evidence indicating aLPHV BlackCat ransomware encrypted victim data and Inhibit System Recovery (T1490) with moderate to high confidence (70%), supported by evidence indicating systems locked, disrupting victim operations. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.

Initial Access
Valid Accounts (90%)
Trusted Relationship (80%)
Execution
User Execution: Malicious File (80%)
Command and Scripting Interpreter (70%)
Persistence
Valid Accounts (90%)
Privilege Escalation
Valid Accounts (80%)
Defense Evasion
Valid Accounts (90%)
Hide Artifacts: Hidden Window (60%)
Credential Access
Unsecured Credentials: Private Keys (70%)
Discovery
Account Discovery (70%)
File and Directory Discovery (60%)
Lateral Movement
Remote Services: Remote Desktop Protocol (70%)
Collection
Data from Local System (90%)
Command and Control
Application Layer Protocol (80%)
Exfiltration
Exfiltration Over C2 Channel (90%)
Impact
Data Encrypted for Impact (90%)
Inhibit System Recovery (70%)