Incident Score: Analysis & Impact (BUM1772152232)
The details regarding individual company incidents & reports gives you full view from every side.
Rankiteo Score Impact Analysis
Key Highlights From The Incident Analysis
- Timeline of Bumble Inc.'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 Bumble Inc. 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 Bumble Inc. breach identified under incident ID BUM1772152232.
The analysis begins with a detailed overview of Bumble Inc.'s information like the linkedin page: https://www.linkedin.com/company/bumbleinc, the number of followers: 258393, the industry type: Software Development and the number of employees: 1104 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 751 and after the incident was 688 with a difference of -63 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 Bumble Inc. and their customers.
Bumble, Inc. recently reported "Bumble Class Action Over Alleged 2026 Data Breach", a noteworthy cybersecurity incident.
A class action lawsuit alleges Bumble, Inc.
The disruption is felt across the environment, and exposing Highly sensitive user data, including names, dates of birth, addresses, phone numbers, Social Security numbers, account information, chat and dating history.
In response, and stakeholders are being briefed through Untimely notification to affected users.
Overall, the incident is a reminder of why proactive monitoring and strong governance matter.
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 (95%), supported by evidence indicating breach reportedly exposed personal details...resulted from a phishing attack, Phishing: Spearphishing Attachment (T1566.001) with moderate to high confidence (70%), supported by evidence indicating inadequate employee training...security failures, and Phishing: Spearphishing Link (T1566.002) with moderate to high confidence (70%), supported by evidence indicating inadequate employee training...security failures. Under the Credential Access tactic, the analysis identified Brute Force (T1110) with moderate confidence (60%), supported by evidence indicating lack of organization-wide two-factor authentication and Unsecured Credentials (T1552) with moderate to high confidence (70%), supported by evidence indicating insufficient data encryption...account information compromised. Under the Collection tactic, the analysis identified Data from Local System (T1005) with high confidence (90%), supported by evidence indicating highly sensitive user data...including names, dates of birth, addresses, SSNs and Data from Information Repositories (T1213) with moderate to high confidence (80%), supported by evidence indicating intimate dating data such as chat and dating history exposed. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate to high confidence (80%), supported by evidence indicating shinyHunters threat actor group...highly sensitive user data compromised and Transfer Data to Cloud Account (T1537) with moderate confidence (60%), supported by evidence indicating shinyHunters known for data exfiltration to dark web. Under the Defense Evasion tactic, the analysis identified Impair Defenses: Disable or Modify Tools (T1562.001) with moderate to high confidence (70%), supported by evidence indicating delayed breach detection...insufficient data encryption and Valid Accounts (T1078) with moderate to high confidence (80%), supported by evidence indicating lack of two-factor authentication...account information compromised. Under the Impact tactic, the analysis identified Data Destruction (T1485) with lower confidence (40%), supported by evidence indicating heightened risks of identity theft and privacy violations and Data Manipulation: Stored Data Manipulation (T1565.001) with moderate confidence (50%), supported by evidence indicating intimate dating data such as chat and dating history exposed. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.
Sources & References
- Bumble Inc. Rankiteo Cyber Incident Details: https://www.rankiteo.com/company/bumbleinc/incident/BUM1772152232
- Bumble Inc. CyberSecurity Rating page: https://www.rankiteo.com/company/bumbleinc
- Bumble Inc. Rankiteo Cyber Incident Blog Article: https://blog.rankiteo.com/bum1772152232-bumble-inc-breach-february-2026/
- Bumble Inc. CyberSecurity Score History: https://www.rankiteo.com/company/bumbleinc/history
- Bumble Inc. CyberSecurity Incident Source: https://natlawreview.com/article/swiped-right-hacked-hard-bumble-faces-class-action-over-data-breach
- Rankiteo A.I CyberSecurity Rating methodology: https://www.rankiteo.com/Images/rankiteo_algo.pdf
- Rankiteo TPRM Scoring methodology: https://static.rankiteo.com/model/rankiteo_tprm_methodology.pdf