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Analyze » NordStellar » NORNOR1773829992

Incident Score: Analysis & Impact (NORNOR1773829992)

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

Rankiteo Score Impact Analysis

Rankiteo Incident Impact-60
Company Score Before Incident747 / 1000
Company Score After Incident687 / 1000
INCIDENT NUMBERNORNOR1773829992
Type of Cyber IncidentCyber Attack
ATTACK VECTORpirated software, fake downloads, phishing emails
DATA EXPOSED624 million passwords, 380 million...
INCIDENT DATE31/12/2024
STATUSpublished

Key Highlights From The Incident Analysis

  • Timeline of NordStellar'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 NordStellar 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 NordStellar breach identified under incident ID NORNOR1773829992.

The analysis begins with a detailed overview of NordStellar's information like the linkedin page: https://www.linkedin.com/company/nordstellar, the number of followers: 1144, the industry type: Computer and Network Security and the number of employees: 1 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 747 and after the incident was 687 with a difference of -60 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 NordStellar and their customers.

A newly reported cybersecurity incident, "Infostealers Surge as Cybercriminals Shift Tactics Away from Data Breaches", has drawn attention.

A growing threat is quietly eclipsing traditional data breaches as cybercriminals pivot to more efficient methods of stealing sensitive information.

The disruption is felt across the environment, and exposing 624 million passwords and 380 million email addresses, with nearly ['624 million passwords', '380 million email addresses'] records at risk.

Formal response steps have not been shared publicly yet.

The case underscores how teams are taking away lessons such as Infostealers operate stealthily and bypass corporate defenses, posing a significant risk even as traditional data breaches decline. Awareness and basic security measures (password managers, software updates, anti-malware tools) are critical for mitigation, and recommending next steps like Use password managers, Keep software updated and Deploy anti-malware tools.

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 (T1566) with high confidence (90%), supported by evidence indicating infostealers typically spreads through...phishing emails, Drive-by Compromise (T1189) with moderate to high confidence (80%), supported by evidence indicating fake downloads...running undetected in the background, and Supply Chain Compromise: Compromise Software Dependencies and Development Tools (T1195.002) with moderate to high confidence (70%), supported by evidence indicating pirated software...spread through. Under the Execution tactic, the analysis identified User Execution: Malicious File (T1204.002) with high confidence (90%), supported by evidence indicating infostealer malware...extracting saved passwords...from victims’ devices. Under the Credential Access tactic, the analysis identified Steal Web Session Cookie (T1539) with high confidence (95%), supported by evidence indicating browser cookies, autofill data, and session tokens directly from victims’ devices, Credentials from Password Stores (T1555) with high confidence (95%), supported by evidence indicating 624 million passwords harvested...saved passwords, and OS Credential Dumping (T1003) with moderate to high confidence (70%), supported by evidence indicating autofill data...extracted directly from victims’ devices. Under the Collection tactic, the analysis identified Data from Local System (T1005) with high confidence (95%), supported by evidence indicating extracting saved passwords, browser cookies, autofill data, and session tokens and Data from Information Repositories (T1213) with moderate to high confidence (80%), supported by evidence indicating 380 million email addresses captured. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with high confidence (90%), supported by evidence indicating data exfiltration such as Yes, 624 million passwords harvested. Under the Defense Evasion tactic, the analysis identified Masquerading (T1036) with moderate to high confidence (80%), supported by evidence indicating fake downloads...running undetected in the background and Hide Artifacts: Hidden Files and Directories (T1564.001) with moderate to high confidence (70%), supported by evidence indicating infostealers operate stealthily...without the victim ever knowing. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.

Initial Access
Phishing (90%)
Drive-by Compromise (80%)
Supply Chain Compromise: Compromise Software Dependencies and Development Tools (70%)
Execution
User Execution: Malicious File (90%)
Credential Access
Steal Web Session Cookie (95%)
Credentials from Password Stores (95%)
OS Credential Dumping (70%)
Collection
Data from Local System (95%)
Data from Information Repositories (80%)
Exfiltration
Exfiltration Over C2 Channel (90%)
Defense Evasion
Masquerading (80%)
Hide Artifacts: Hidden Files and Directories (70%)

Sources & References