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Analyze » UniMac® » UNIVYN1780316844

Incident Score: Analysis & Impact (UNIVYN1780316844)

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Rankiteo Score Impact Analysis

Rankiteo Incident Impact-12
Company Score Before Incident743 / 1000
Company Score After Incident731 / 1000
INCIDENT NUMBERUNIVYN1780316844
Type of Cyber IncidentCyber Attack
ATTACK VECTORAutomated scripts, Hands-on keyboard techniques, Proxied RDP connections, Secure deletion utilities
DATA EXPOSEDYes
INCIDENT DATE01/04/2026
STATUSOngoing

Key Highlights From The Incident Analysis

  • Timeline of UniMac®'s Cyber Attack 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 UniMac® 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 UniMac® breach identified under incident ID UNIVYN1780316844.

The analysis begins with a detailed overview of UniMac®'s information like the linkedin page: https://www.linkedin.com/company/unimacofficial, the number of followers: 4259, the industry type: Machinery Manufacturing and the number of employees: 20 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 743 and after the incident was 731 with a difference of -12 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 UniMac® and their customers.

On 02 April 2026, Los Angeles County Metropolitan Transportation Authority (LA Metro) disclosed Destructive Cyber Attack issues under the banner "Iran-Linked Hackers Launch Destructive Cyber Campaign Targeting U.S. and Middle East Organizations".

In a coordinated campaign of digital sabotage, Iran-linked hackers operating under the persona 'Ababil of Minab' executed a series of destructive attacks across the U.S.

The disruption is felt across the environment, affecting Virtual machines, TAP Mobile App and Web hosting directories, and exposing Yes.

Formal response steps have not been shared publicly yet.

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 External Remote Services (T1133) with moderate to high confidence (80%), supported by evidence indicating proxied RDP connections used by attackers and Valid Accounts (T1078) with moderate to high confidence (70%), supported by evidence indicating hands-on keyboard techniques imply account compromise. Under the Execution tactic, the analysis identified Command and Scripting Interpreter: Python (T1059.006) with high confidence (90%), supported by evidence indicating custom Python script (main.py) dropped 58 SQL Server databases and Command and Scripting Interpreter: Windows Command Shell (T1059.003) with moderate to high confidence (70%), supported by evidence indicating automated scripts combined with hands-on keyboard techniques. Under the Persistence tactic, the analysis identified Create Account (T1136) with moderate confidence (50%), supported by evidence indicating state-backed campaign implies potential account creation. Under the Defense Evasion tactic, the analysis identified Indicator Removal: File Deletion (T1070.004) with high confidence (90%), supported by evidence indicating secure deletion tools (WipeFile) overwrote web hosting directories, Impair Defenses: Disable or Modify Tools (T1562.001) with moderate to high confidence (80%), supported by evidence indicating wiped IT systems, backups, and recovery infrastructure, and Masquerading (T1036) with moderate to high confidence (70%), supported by evidence indicating renamed partitions to Minab as a calling card. Under the Credential Access tactic, the analysis identified OS Credential Dumping (T1003) with moderate confidence (60%), supported by evidence indicating hands-on keyboard techniques imply credential access. Under the Discovery tactic, the analysis identified File and Directory Discovery (T1083) with moderate to high confidence (80%), supported by evidence indicating fileFiend tool scanned drives and network shares and System Information Discovery (T1082) with moderate to high confidence (70%), supported by evidence indicating deep knowledge of victims’ infrastructure. Under the Collection tactic, the analysis identified Data from Local System (T1005) with high confidence (90%), supported by evidence indicating fileFiend scanned drives and network shares for files and Data from Cloud Storage (T1530) with moderate to high confidence (70%), supported by evidence indicating sQL databases and backups targeted. Under the Command and Control tactic, the analysis identified Proxy (T1090) with moderate to high confidence (80%), supported by evidence indicating proxied RDP connections used, Protocol Tunneling (T1572) with moderate to high confidence (70%), supported by evidence indicating go-based tunnelers used in attackers’ toolkit, and Application Layer Protocol: Web Protocols (T1071.001) with moderate to high confidence (80%), supported by evidence indicating flask-based file receiver exfiltrated data via public websites. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with high confidence (90%), supported by evidence indicating fileFiend sent files to hardcoded C2 servers and Exfiltration Over Web Service (T1567) with moderate to high confidence (80%), supported by evidence indicating flask-based file receiver used victims’ public websites. Under the Impact tactic, the analysis identified Data Destruction (T1485) with high confidence (100%), supported by evidence indicating wiped IT systems, backups, and recovery infrastructure, Data Encrypted for Impact (T1486) with moderate to high confidence (70%), supported by evidence indicating destructive encryption, not ransomware, and System Shutdown/Reboot (T1529) with moderate confidence (60%), supported by evidence indicating virtual machines deleted, systems crippled. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.

Initial Access
External Remote Services (80%)
Valid Accounts (70%)
Execution
Command and Scripting Interpreter: Python (90%)
Command and Scripting Interpreter: Windows Command Shell (70%)
Persistence
Create Account (50%)
Defense Evasion
Indicator Removal: File Deletion (90%)
Impair Defenses: Disable or Modify Tools (80%)
Masquerading (70%)
Credential Access
OS Credential Dumping (60%)
Discovery
File and Directory Discovery (80%)
System Information Discovery (70%)
Collection
Data from Local System (90%)
Data from Cloud Storage (70%)
Command and Control
Proxy (80%)
Protocol Tunneling (70%)
Application Layer Protocol: Web Protocols (80%)
Exfiltration
Exfiltration Over C2 Channel (90%)
Exfiltration Over Web Service (80%)
Impact
Data Destruction (100%)
Data Encrypted for Impact (70%)
System Shutdown/Reboot (60%)

Sources & References