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Binance Breach Incident Score: Analysis & Impact (YAHFACTIKNETMICONLBINCAN1769189638)

The Rankiteo video explains how the company Binance has been impacted by a Breach on the date January 23, 2026.

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Incident Summary

Rankiteo Incident Impact
-146
Company Score Before Incident
609 / 1000
Company Score After Incident
463 / 1000
Company Link
Incident ID
YAHFACTIKNETMICONLBINCAN1769189638
Type of Cyber Incident
Breach
Primary Vector
Infostealing Malware
Data Exposed
149 million usernames and passwords
First Detected by Rankiteo
January 23, 2026
Last Updated Score
October 02, 2022

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Key Highlights From This Incident Analysis

  • Timeline of Binance'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 Rankiteoโ€™s incident engine converts technical details into a normalized incident score.
  • How this cyber incident impacts Binance Rankiteo cyber scoring and cyber rating.
  • Rankiteoโ€™s MITRE ATT&CK correlation analysis for this incident, with associated confidence level.
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Full Incident Analysis Transcript

In this Rankiteo incident briefing, we review the Binance breach identified under incident ID YAHFACTIKNETMICONLBINCAN1769189638.

The analysis begins with a detailed overview of Binance's information like the linkedin page: https://www.linkedin.com/company/binance, the number of followers: 964173, the industry type: Technology, Information and Internet and the number of employees: 13525 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 609 and after the incident was 463 with a difference of -146 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 Binance and their customers.

Gmail recently reported "Massive Credential Breach Exposes 149 Million Logins in Unsecured Database", a noteworthy cybersecurity incident.

A security researcher uncovered a data exposure involving 149 million usernames and passwords left unprotected on the internet.

The disruption is felt across the environment, affecting Email services, social media, streaming, financial services, government/education accounts, and exposing 149 million usernames and passwords, with nearly 149 million records at risk.

In response, moved swiftly to contain the threat with measures like Database taken offline by hosting provider.

The case underscores how Ongoing, teams are taking away lessons such as The incident underscores persistent vulnerabilities in data security practices, particularly the risks of unsecured databases and the accessibility of cybercrime tools. Stolen credentials can circulate on underground forums, prolonging the threat long after the initial leak.

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.

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 infostealing malware...infects devices through phishing and Drive-by Compromise (T1189) with moderate to high confidence (80%), supported by evidence indicating malicious downloads, or compromised websites. Under the Execution tactic, the analysis identified User Execution: Malicious File (T1204.002) with moderate to high confidence (80%), supported by evidence indicating infostealing malware...infects devices through...malicious downloads. Under the Credential Access tactic, the analysis identified Input Capture: Keylogging (T1056.001) with high confidence (90%), supported by evidence indicating the malware logs keystrokes and captures login credentials and Credentials from Password Stores (T1555) with moderate to high confidence (70%), supported by evidence indicating 149 million usernames and passwords...compromised. Under the Collection tactic, the analysis identified Data from Local System (T1005) with high confidence (90%), supported by evidence indicating the malware...captures login credentials, funneling them into centralized databases and Data from Information Repositories (T1213) with moderate to high confidence (70%), supported by evidence indicating database...included unique identifiers for large-scale criminal operations. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with high confidence (90%), supported by evidence indicating credentials...funneling them into centralized databases like the one discovered and Transfer Data to Cloud Account (T1537) with moderate confidence (60%), supported by evidence indicating database hosted by a Canadian service provider...freely accessible. Under the Impact tactic, the analysis identified Data Destruction (T1485) with lower confidence (30%), supported by evidence indicating risks ranging from identity theft and financial fraud to potential espionage and Account Access Removal (T1531) with moderate to high confidence (70%), supported by evidence indicating account takeovers or ransomware attacks. Under the Defense Evasion tactic, the analysis identified Valid Accounts (T1078) with moderate to high confidence (80%), supported by evidence indicating 149 million usernames and passwords...compromised via infostealing malware and Impair Defenses: Disable or Modify Tools (T1562.001) with moderate confidence (50%), supported by evidence indicating unsecured database...freely accessible via a standard web browser. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.