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Analyze » Yahoo » YAHFACTIKNETMICONLBINCAN1769189638

Incident Score: Analysis & Impact (YAHFACTIKNETMICONLBINCAN1769189638)

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

Rankiteo Score Impact Analysis

Rankiteo Incident Impact-89
Company Score Before Incident685 / 1000
Company Score After Incident596 / 1000
Company LinkView Yahoo Profile
INCIDENT NUMBERYAHFACTIKNETMICONLBINCAN1769189638
Type of Cyber IncidentBreach
ATTACK VECTORInfostealing Malware
DATA EXPOSED149 million usernames and passwords
INCIDENT DATE22/01/2026
STATUSOngoing

Key Highlights From The Incident Analysis

  • Timeline of Yahoo'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 Yahoo 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 Yahoo breach identified under incident ID YAHFACTIKNETMICONLBINCAN1769189638.

The analysis begins with a detailed overview of Yahoo's information like the linkedin page: https://www.linkedin.com/company/yahoo, the number of followers: 744765, the industry type: Software Development and the number of employees: 9800 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 685 and after the incident was 596 with a difference of -89 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 Yahoo 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.

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 moderate to high confidence (80%), supported by evidence indicating infects devices through phishing, malicious downloads, or compromised websites and Drive-by Compromise (T1189) with moderate to high confidence (70%), supported by evidence indicating 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 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 exposed. Under the Collection tactic, the analysis identified Data from Local System (T1005) with high confidence (90%), supported by evidence indicating infostealing malware...captures login credentials and Data from Information Repositories (T1213) with moderate to high confidence (70%), supported by evidence indicating banking and credit card details compromised. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate to high confidence (80%), supported by evidence indicating credentials funneling them into centralized databases and Transfer Data to Cloud Account (T1537) with moderate confidence (60%), supported by evidence indicating database was freely accessible via a standard web browser. Under the Command and Control tactic, the analysis identified Application Layer Protocol: Web Protocols (T1071.001) with moderate to high confidence (70%), supported by evidence indicating database hosted by a Canadian service provider. Under the Impact tactic, the analysis identified Data Destruction (T1485) with lower confidence (40%), supported by evidence indicating risks ranging from identity theft and financial fraud and Data Manipulation: Stored Data Manipulation (T1565.001) with moderate confidence (50%), supported by evidence indicating account takeovers or ransomware attacks. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.

Initial Access
Phishing (80%)
Drive-by Compromise (70%)
Execution
User Execution: Malicious File (80%)
Credential Access
Input Capture: Keylogging (90%)
Credentials from Password Stores (70%)
Collection
Data from Local System (90%)
Data from Information Repositories (70%)
Exfiltration
Exfiltration Over C2 Channel (80%)
Transfer Data to Cloud Account (60%)
Command and Control
Application Layer Protocol: Web Protocols (70%)
Impact
Data Destruction (40%)
Data Manipulation: Stored Data Manipulation (50%)