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Analyze » Trezor » TRETHE1781108679

Incident Score: Analysis & Impact (TRETHE1781108679)

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

Rankiteo Score Impact Analysis

Rankiteo Incident Impact-19
Company Score Before Incident713 / 1000
Company Score After Incident694 / 1000
INCIDENT NUMBERTRETHE1781108679
Type of Cyber IncidentCyber Attack
ATTACK VECTOREmail spam, ClickFix lures
DATA EXPOSEDBrowser profiles, Wallet credentials, Keystrokes,...
INCIDENT DATE30/09/2025
STATUSOngoing (threat analysis by Group-IB)

Key Highlights From The Incident Analysis

  • Timeline of Trezor'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 Trezor 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 Trezor breach identified under incident ID TRETHE1781108679.

The analysis begins with a detailed overview of Trezor's information like the linkedin page: https://www.linkedin.com/company/trezor, the number of followers: 14194, the industry type: Consumer Electronics and the number of employees: 195 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 713 and after the incident was 694 with a difference of -19 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 Trezor and their customers.

A newly reported cybersecurity incident, "SilabRAT: A Stealthy Crypto-Draining Malware Emerges as MaaS", has drawn attention.

A new remote access trojan (RAT), SilabRAT, has surfaced on dark web forums, designed to bypass passwords and multi-factor authentication (MFA) by hijacking active user sessions to drain cryptocurrency.

The disruption is felt across the environment, affecting Infected machines (Windows), and exposing Browser profiles, Wallet credentials and Keystrokes, plus an estimated financial loss of Cryptocurrency theft.

Formal response steps have not been shared publicly yet.

The case underscores how Ongoing (threat analysis by Group-IB), teams are taking away lessons such as Traditional defenses like MFA and patching may be insufficient against session-hijacking malware. Enhanced monitoring and behavioral analysis are critical, and recommending next steps like Implement behavioral-based detection for HVNC activity, Monitor for unusual session cloning or device fingerprint spoofing and Enhance wallet security with hardware-based solutions.

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 high confidence (90%), supported by evidence indicating distributed via email spam and ClickFix lures and Phishing: Spearphishing Link (T1566.002) with high confidence (90%), supported by evidence indicating clickFix lures. Under the Execution tactic, the analysis identified User Execution: Malicious File (T1204.002) with moderate to high confidence (80%), supported by evidence indicating malware-as-a-service (MaaS) for $5,000 per month and Command and Scripting Interpreter (T1059) with moderate to high confidence (70%), supported by evidence indicating keystroke logging and clipboard monitoring. Under the Persistence tactic, the analysis identified Boot or Logon Autostart Execution: Registry Run Keys / Startup Folder (T1547.001) with moderate to high confidence (80%), supported by evidence indicating persistence through registry keys or scheduled tasks and Scheduled Task/Job: Scheduled Task (T1053.005) with moderate to high confidence (80%), supported by evidence indicating persistence through registry keys or scheduled tasks. Under the Privilege Escalation tactic, the analysis identified Abuse Elevation Control Mechanism: Bypass User Account Control (T1548.002) with high confidence (90%), supported by evidence indicating uAC bypass previously used by LockBit and BlackMatter and Event Triggered Execution: Component Object Model Hijacking (T1546.015) with high confidence (90%), supported by evidence indicating cOM-elevation technique to bypass Chromes App-Bound Encryption. Under the Defense Evasion tactic, the analysis identified Masquerading: Match Legitimate Name or Location (T1036.005) with high confidence (90%), supported by evidence indicating disguising itself as HijackLoader, a known packer and Hide Artifacts: Hidden Window (T1564.003) with high confidence (90%), supported by evidence indicating hVNC such as control without visible windows or cursor movement. Under the Credential Access tactic, the analysis identified Credentials from Password Stores (T1555) with high confidence (90%), supported by evidence indicating harvested from the victim’s browser to crack wallet passwords, Input Capture: Keylogging (T1056.001) with high confidence (90%), supported by evidence indicating keystroke logging and clipboard monitoring, and Steal Web Session Cookie (T1539) with high confidence (90%), supported by evidence indicating browser-profile cloning to hijack active user sessions. Under the Discovery tactic, the analysis identified File and Directory Discovery (T1083) with moderate to high confidence (80%), supported by evidence indicating scans for wallets upon infection and Process Discovery (T1057) with moderate to high confidence (70%), supported by evidence indicating hVNC for remote control of infected machines. Under the Collection tactic, the analysis identified Data from Local System (T1005) with high confidence (90%), supported by evidence indicating copies entire browser profiles including extensions, storage and Clipboard Data (T1115) with high confidence (90%), supported by evidence indicating clipboard clipper to swap wallet addresses mid-transaction. Under the Command and Control tactic, the analysis identified Remote Access Software (T1219) with high confidence (90%), supported by evidence indicating hVNC, TightVNC for remote desktop access. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with high confidence (90%), supported by evidence indicating cloned browser profiles, wallet data exfiltrated. Under the Impact tactic, the analysis identified Resource Hijacking (T1496) with high confidence (90%), supported by evidence indicating cryptocurrency theft via session hijacking. 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 (90%)
Phishing: Spearphishing Link (90%)
Execution
User Execution: Malicious File (80%)
Command and Scripting Interpreter (70%)
Persistence
Boot or Logon Autostart Execution: Registry Run Keys / Startup Folder (80%)
Scheduled Task/Job: Scheduled Task (80%)
Privilege Escalation
Abuse Elevation Control Mechanism: Bypass User Account Control (90%)
Event Triggered Execution: Component Object Model Hijacking (90%)
Defense Evasion
Masquerading: Match Legitimate Name or Location (90%)
Hide Artifacts: Hidden Window (90%)
Credential Access
Credentials from Password Stores (90%)
Input Capture: Keylogging (90%)
Steal Web Session Cookie (90%)
Discovery
File and Directory Discovery (80%)
Process Discovery (70%)
Collection
Data from Local System (90%)
Clipboard Data (90%)
Command and Control
Remote Access Software (90%)
Exfiltration
Exfiltration Over C2 Channel (90%)
Impact
Resource Hijacking (90%)

Sources & References