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Analyze » Huntress » HUN1769991856

Incident Score: Analysis & Impact (HUN1769991856)

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

Rankiteo Score Impact Analysis

Rankiteo Incident Impact-17
Company Score Before Incident759 / 1000
Company Score After Incident742 / 1000
INCIDENT NUMBERHUN1769991856
Type of Cyber IncidentCyber Attack
ATTACK VECTORMalicious Browser Extension, Social Engineering, PowerShell Script
DATA EXPOSEDOperating system details, running processes,...
INCIDENT DATE31/12/2024
STATUSOngoing

Key Highlights From The Incident Analysis

  • Timeline of Huntress'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 Huntress 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 Huntress breach identified under incident ID HUN1769991856.

The analysis begins with a detailed overview of Huntress's information like the linkedin page: https://www.linkedin.com/company/huntress-labs, the number of followers: 120630, the industry type: Computer and Network Security and the number of employees: 847 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 759 and after the incident was 742 with a difference of -17 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 Huntress and their customers.

A newly reported cybersecurity incident, "Sophisticated 'CrashFix' Campaign Targets Corporate Networks with ModeloRAT Malware", has drawn attention.

Cybersecurity firm Huntress uncovered a highly evolved malware campaign attributed to the threat actor KongTuke, active since early 2025.

The disruption is felt across the environment, affecting Corporate networks and Domain-joined systems, and exposing Operating system details, running processes, network configurations, user privileges, installed security tools.

Formal response steps have not been shared publicly yet.

The case underscores how Ongoing, teams are taking away lessons such as Threat actors are increasingly prioritizing enterprise networks for higher returns. Social engineering techniques exploiting user frustration (e.g., creating a problem and offering a 'solution') can increase compromise success rates. Advanced reconnaissance and evasion tactics pose significant risks to domain-joined endpoints, and recommending next steps like Monitor for unusual use of legitimate Windows utilities (e.g., PowerShell), suspicious browser extensions with excessive permissions, registry Run key entries mimicking legitimate software, and Python commands spawning hidden PowerShell processes. Organizations should also educate employees on social engineering tactics and the risks of installing unverified browser extensions.

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 Drive-by Compromise (T1189) with high confidence (90%), supported by evidence indicating redirected via a malicious ad to the fraudulent NexShield extension, User Execution: Malicious Link (T1204.001) with moderate to high confidence (80%), supported by evidence indicating malicious ads...to the fraudulent NexShield extension in the Chrome Web Store, and Phishing: Spearphishing Link (T1566.002) with moderate to high confidence (70%), supported by evidence indicating fake security warning instructing them to execute a repair command. Under the Execution tactic, the analysis identified Command and Scripting Interpreter: PowerShell (T1059.001) with high confidence (95%), supported by evidence indicating powerShell script that establishes contact with the attacker’s C2 server and User Execution: Malicious File (T1204.002) with moderate to high confidence (80%), supported by evidence indicating execute a repair command via the Windows Run dialog. Under the Persistence tactic, the analysis identified Boot or Logon Autostart Execution: Registry Run Keys / Startup Folder (T1547.001) with high confidence (90%), supported by evidence indicating modifying Windows Registry keys...masquerading as legitimate applications. Under the Defense Evasion tactic, the analysis identified Masquerading: Match Legitimate Name or Location (T1036.005) with high confidence (90%), supported by evidence indicating masquerading as legitimate applications like Spotify or Discord, Impair Defenses: Disable or Modify Tools (T1562.001) with moderate to high confidence (70%), supported by evidence indicating fake repair pop-up blocks keyboard shortcuts, disables developer tools, and Obfuscated Files or Information (T1027) with moderate to high confidence (80%), supported by evidence indicating rC4 encryption for C2 communications. Under the Discovery tactic, the analysis identified System Information Discovery (T1082) with high confidence (95%), supported by evidence indicating collecting data on operating system details, running processes, network configurations, Process Discovery (T1057) with high confidence (90%), supported by evidence indicating collecting data on...running processes, System Network Configuration Discovery (T1016) with high confidence (90%), supported by evidence indicating collecting data on...network configurations, System Owner/User Discovery (T1033) with high confidence (90%), supported by evidence indicating collecting data on...user privileges, and Software Discovery: Security Software Discovery (T1518.001) with high confidence (90%), supported by evidence indicating collecting data on...installed security tools (e.g., antivirus, virtual machine indicators). Under the Command and Control tactic, the analysis identified Application Layer Protocol: Web Protocols (T1071.001) with high confidence (90%), supported by evidence indicating establishes contact with the attacker’s command-and-control (C2) server and Encrypted Channel: Symmetric Cryptography (T1573.001) with moderate to high confidence (80%), supported by evidence indicating rC4 encryption for C2 communications. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate to high confidence (80%), supported by evidence indicating collecting data on...operating system details, running processes, network configurations. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.

Initial Access
Drive-by Compromise (90%)
User Execution: Malicious Link (80%)
Phishing: Spearphishing Link (70%)
Execution
Command and Scripting Interpreter: PowerShell (95%)
User Execution: Malicious File (80%)
Persistence
Boot or Logon Autostart Execution: Registry Run Keys / Startup Folder (90%)
Defense Evasion
Masquerading: Match Legitimate Name or Location (90%)
Impair Defenses: Disable or Modify Tools (70%)
Obfuscated Files or Information (80%)
Discovery
System Information Discovery (95%)
Process Discovery (90%)
System Network Configuration Discovery (90%)
System Owner/User Discovery (90%)
Software Discovery: Security Software Discovery (90%)
Command and Control
Application Layer Protocol: Web Protocols (90%)
Encrypted Channel: Symmetric Cryptography (80%)
Exfiltration
Exfiltration Over C2 Channel (80%)