Rankiteo Logo
Rankiteo
Leader in Cyber Underwriting
Loading...
NEWRankiteo Cyber Underwriting Desktop - Score, price, and bind from your desktop
WindowsmacOSLinux
Download
Analyze » Snowflake » ROCANOSNO1776126436

Incident Score: Analysis & Impact (ROCANOSNO1776126436)

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

Rankiteo Score Impact Analysis

Rankiteo Incident Impact0
Company Score Before Incident100 / 1000
Company Score After Incident100 / 1000
INCIDENT NUMBERROCANOSNO1776126436
Type of Cyber IncidentBreach
ATTACK VECTORAI-powered tool (Anodot) exploitation of Snowflake-based data warehouse
DATA EXPOSEDLimited amount of non-material company...
INCIDENT DATE13/04/2026
STATUSpublished

Key Highlights From The Incident Analysis

  • Timeline of Snowflake's Breach 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 Snowflake 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 Snowflake breach identified under incident ID ROCANOSNO1776126436.

The analysis begins with a detailed overview of Snowflake's information like the linkedin page: https://www.linkedin.com/company/snowflake-computing, the number of followers: 1199156, the industry type: Software Development and the number of employees: 10807 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 100 and after the incident was 100 with a difference of 0 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 Snowflake and their customers.

Rockstar Games recently reported "ShinyHunters Breaches Rockstar Games, Leaks Data Ahead of Ransom Deadline", a noteworthy cybersecurity incident.

The hacker group ShinyHunters claims to have stolen sensitive data from Rockstar Games, leveraging an AI-powered tool called Anodot to breach the company’s Snowflake-based data warehouse.

The disruption is felt across the environment, affecting Snowflake-based data warehouse, and exposing Limited amount of non-material company information (GTA Online and Red Dead Online data).

In response, and stakeholders are being briefed through Public statement acknowledging the breach and downplaying its impact.

The case underscores how with advisories going out to stakeholders covering Public statement assuring no risk to players or operations.

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 moderate to high confidence (80%), supported by evidence indicating leveraging an AI-powered tool called Anodot to breach the company’s Snowflake-based data warehouse and External Remote Services (T1133) with moderate to high confidence (70%), supported by evidence indicating snowflake-based data warehouse misconfiguration/weakness exploited. Under the Credential Access tactic, the analysis identified Steal Application Access Token (T1528) with moderate confidence (60%), supported by evidence indicating snowflake instances were compromised thanks to Anodot.com and Valid Accounts (T1078) with moderate to high confidence (70%), supported by evidence indicating aI-powered tool (Anodot) exploitation of Snowflake-based data warehouse. Under the Collection tactic, the analysis identified Data from Information Repositories (T1213) with high confidence (90%), supported by evidence indicating limited amount of non-material company information (GTA Online and Red Dead Online data) compromised. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate to high confidence (80%), supported by evidence indicating partial leaks released ahead of ransom deadline and Transfer Data to Cloud Account (T1537) with moderate confidence (60%), supported by evidence indicating snowflake-based data warehouse breach. Under the Impact tactic, the analysis identified Data Encrypted for Impact (T1486) with lower confidence (30%), supported by evidence indicating ransom demands with deadline for payment and Defacement (T1491) with moderate confidence (50%), supported by evidence indicating warning of further leaks and digital disruptions if ransom unmet. Under the Command and Control tactic, the analysis identified Application Layer Protocol (T1071) with moderate confidence (60%), supported by evidence indicating shinyHunters claims to have stolen sensitive data. 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 (80%)
External Remote Services (70%)
Credential Access
Steal Application Access Token (60%)
Valid Accounts (70%)
Collection
Data from Information Repositories (90%)
Exfiltration
Exfiltration Over C2 Channel (80%)
Transfer Data to Cloud Account (60%)
Impact
Data Encrypted for Impact (30%)
Defacement (50%)
Command and Control
Application Layer Protocol (60%)