Rankiteo Logo
Rankiteo
Leader in Cyber Underwriting
Loading...
NEWRankiteo Cyber Underwriting Desktop - Score, price, and bind from your desktop
WindowsmacOSLinux
Download
Analyze » Synthient » SYNSYN1768657274

Incident Score: Analysis & Impact (SYNSYN1768657274)

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

Rankiteo Score Impact Analysis

Rankiteo Incident Impact-198
Company Score Before Incident749 / 1000
Company Score After Incident551 / 1000
INCIDENT NUMBERSYNSYN1768657274
Type of Cyber IncidentBreach
ATTACK VECTORNA
DATA EXPOSED2 billion email addresses and...
INCIDENT DATE01/12/2025
STATUSpublished

Key Highlights From The Incident Analysis

  • Timeline of Synthient'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 Synthient 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 Synthient breach identified under incident ID SYNSYN1768657274.

The analysis begins with a detailed overview of Synthient's information like the linkedin page: https://www.linkedin.com/company/synthient, the number of followers: 155, the industry type: Software Development 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 749 and after the incident was 551 with a difference of -198 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 Synthient and their customers.

A newly reported cybersecurity incident, "Massive Credential Leak Exposes 2 Billion Emails and 1.3 Billion Passwords", has drawn attention.

Security intelligence firm Synthient has uncovered a vast dataset containing 2 billion email addresses and 1.3 billion passwords, compiled from years of prior breaches, malware logs, and dark web marketplaces.

The disruption is felt across the environment, and exposing 2 billion email addresses and 1.3 billion passwords, with nearly 3.3 billion (2B emails + 1.3B passwords) records at risk.

In response, and began remediation that includes Users advised to use unique passwords, two-factor authentication (2FA), and password managers.

The case underscores how teams are taking away lessons such as The incident underscores the importance of unique passwords, two-factor authentication (2FA), and password managers to mitigate risks. Reused passwords amplify the threat of credential stuffing, and recommending next steps like Use unique passwords for each account, Enable two-factor authentication (2FA) and Use password managers, with advisories going out to stakeholders covering Users can check if their email appears in the compilation via Have I Been Pwned. Running antivirus scans before resetting passwords is recommended.

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 Valid Accounts (T1078) with high confidence (90%), supported by evidence indicating increases the risk of account takeovers, particularly through credential stuffing and Compromise Accounts (T1586) with moderate to high confidence (80%), supported by evidence indicating dataset aggregates data from multiple incidents both recent and historical. Under the Credential Access tactic, the analysis identified Credentials from Password Stores (T1555) with moderate to high confidence (80%), supported by evidence indicating 1.3 billion passwords compiled from years of prior breaches, malware logs and Gather Victim Identity Information: Email Addresses (T1589.002) with high confidence (90%), supported by evidence indicating 2 billion email addresses and 1.3 billion passwords exposed. Under the Collection tactic, the analysis identified Data from Cloud Storage (T1530) with moderate to high confidence (70%), supported by evidence indicating data compiled from dark web marketplaces and prior breaches and Data from Information Repositories (T1213) with moderate to high confidence (70%), supported by evidence indicating aggregates data from multiple incidents both recent and historical. Under the Exfiltration tactic, the analysis identified Transfer Data to Cloud Account (T1537) with moderate confidence (60%), supported by evidence indicating data sold on dark web, cross-referenced with Have I Been Pwned and Exfiltration Over C2 Channel (T1041) with moderate confidence (50%), supported by evidence indicating dataset compiled from malware logs and dark web sources. Under the Impact tactic, the analysis identified Account Access Removal (T1531) with moderate to high confidence (80%), supported by evidence indicating increased risk of account takeovers and credential stuffing and Endpoint Denial of Service: Application or System Exploitation (T1499.004) with lower confidence (40%), supported by evidence indicating reused passwords amplify the threat across multiple platforms. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.

Initial Access
Valid Accounts (90%)
Compromise Accounts (80%)
Credential Access
Credentials from Password Stores (80%)
Gather Victim Identity Information: Email Addresses (90%)
Collection
Data from Cloud Storage (70%)
Data from Information Repositories (70%)
Exfiltration
Transfer Data to Cloud Account (60%)
Exfiltration Over C2 Channel (50%)
Impact
Account Access Removal (80%)
Endpoint Denial of Service: Application or System Exploitation (40%)