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Analyze » E-Panzer » EPA1790239953

Incident Score: Analysis & Impact (EPA1790239953)

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

Rankiteo Score Impact Analysis

Rankiteo Incident Impact-175
Company Score Before Incident636 / 1000
Company Score After Incident461 / 1000
INCIDENT NUMBEREPA1790239953
Type of Cyber IncidentRansomware
ATTACK VECTORNA
DATA EXPOSED105 GB (alleged)
INCIDENT DATE08/09/2026
STATUSUnconfirmed

Key Highlights From The Incident Analysis

  • Timeline of E-Panzer'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 E-Panzer 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 E-Panzer breach identified under incident ID EPA1790239953.

The analysis begins with a detailed overview of E-Panzer's information like the linkedin page: https://www.linkedin.com/company/epanzersecurity, the number of followers: 1296, the industry type: IT Services and IT Consulting and the number of employees: 16 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 636 and after the incident was 461 with a difference of -175 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 E-Panzer and their customers.

On 15 September 2026, Inter ehf disclosed Ransomware issues under the banner "Galago Ransomware Emerges with Alleged Ties to Panzer Group".

A newly identified ransomware operation, Galago, has surfaced with claims of collaboration with the Panzer ransomware group, though evidence remains circumstantial.

The disruption is felt across the environment, and exposing 105 GB (alleged).

Formal response steps have not been shared publicly yet.

The case underscores how Unconfirmed, and recommending next steps like Monitor Tox contact ID and Tor addresses for further activity. Verify claims independently before attributing attacks to Galago or Panzer.

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 lower confidence (40%), supported by evidence indicating alleged attack on an Icelandic healthcare organization and Phishing: Spearphishing Attachment (T1566.001) with lower confidence (30%), supported by evidence indicating no confirmed attack vector; ransomware-as-a-service (RaaS) operation. Under the Execution tactic, the analysis identified User Execution: Malicious File (T1204.002) with moderate confidence (50%), supported by evidence indicating ransomware operation; no confirmed malware samples. Under the Persistence tactic, the analysis identified Command and Scripting Interpreter: Windows Command Shell (T1059.003) with lower confidence (40%), supported by evidence indicating raaS operation; builds for Windows, Linux, ESXi, FreeBSD. Under the Defense Evasion tactic, the analysis identified Obfuscated Files or Information (T1027) with moderate confidence (60%), supported by evidence indicating ransomware-as-a-service (RaaS) operation; no confirmed samples and Virtualization/Sandbox Evasion (T1497) with lower confidence (30%), supported by evidence indicating no independently verified malware samples. Under the Credential Access tactic, the analysis identified OS Credential Dumping (T1003) with moderate confidence (50%), supported by evidence indicating raaS operation; double extortion tactics. Under the Discovery tactic, the analysis identified File and Directory Discovery (T1083) with moderate confidence (60%), supported by evidence indicating 105 GB of data allegedly stolen; double extortion. Under the Collection tactic, the analysis identified Data from Local System (T1005) with moderate to high confidence (70%), supported by evidence indicating 105 GB of data allegedly stolen from healthcare org. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate to high confidence (70%), supported by evidence indicating 105 GB of data allegedly exfiltrated; double extortion. Under the Impact tactic, the analysis identified Data Encrypted for Impact (T1486) with high confidence (90%), supported by evidence indicating ransomware operation; double extortion tactics and Data Destruction (T1485) with moderate confidence (50%), supported by evidence indicating threat to publish stolen data by 28–29 September. 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 (40%)
Phishing: Spearphishing Attachment (30%)
Execution
User Execution: Malicious File (50%)
Persistence
Command and Scripting Interpreter: Windows Command Shell (40%)
Defense Evasion
Obfuscated Files or Information (60%)
Virtualization/Sandbox Evasion (30%)
Credential Access
OS Credential Dumping (50%)
Discovery
File and Directory Discovery (60%)
Collection
Data from Local System (70%)
Exfiltration
Exfiltration Over C2 Channel (70%)
Impact
Data Encrypted for Impact (90%)
Data Destruction (50%)

Sources & References