Incident Score: Analysis & Impact (ONS1765987159)
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Rankiteo Score Impact Analysis
Key Highlights From The Incident Analysis
- Timeline of Onset LLC'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 Onset LLC 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 Onset LLC breach identified under incident ID ONS1765987159.
The analysis begins with a detailed overview of Onset LLC's information like the linkedin page: https://www.linkedin.com/company/onset-llc, the number of followers: 28, the industry type: Technology, Information and Internet and the number of employees: 3 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 768 and after the incident was 698 with a difference of -70 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 Onset LLC and their customers.
On 12 December 2025, Onset disclosed Data Breach issues under the banner "Onset Data Breach".
Onset reported a potential compromise of sensitive personal identifiable information in its systems.
The disruption is felt across the environment, and exposing Sensitive personal identifiable information.
In response, and stakeholders are being briefed through Data breach notification letters mailed to impacted individuals.
The case underscores how with advisories going out to stakeholders covering 24 months of complimentary credit monitoring services offered to affected individuals.
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 moderate to high confidence (70%), supported by evidence indicating potential compromise of sensitive personal identifiable information in its systems and Exploit Public-Facing Application (T1190) with moderate confidence (50%), supported by evidence indicating nature of the security incident not disclosed, but PII exposed. Under the Credential Access tactic, the analysis identified Modify Authentication Process (T1556) with moderate confidence (60%), supported by evidence indicating sensitive personal identifiable information compromised, including SSNs and financial data and Brute Force (T1110) with moderate confidence (50%), supported by evidence indicating root cause remain undisclosed but high-value data accessed. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate to high confidence (80%), supported by evidence indicating exposed data could include names, SSNs, financial account information and Transfer Data to Cloud Account (T1537) with moderate confidence (60%), supported by evidence indicating data breach notification implies unauthorized data transfer. Under the Impact tactic, the analysis identified Data Encrypted for Impact (T1486) with lower confidence (40%), supported by evidence indicating nature of the attack not disclosed, but ransomware not ruled out and Data Manipulation: Stored Data Manipulation (T1565.001) with lower confidence (30%), supported by evidence indicating exact impact varies by individual suggests potential tampering. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.
Sources & References
- Onset LLC Rankiteo Cyber Incident Details: https://www.rankiteo.com/company/onset-llc/incident/ONS1765987159
- Onset LLC CyberSecurity Rating page: https://www.rankiteo.com/company/onset-llc
- Onset LLC Rankiteo Cyber Incident Blog Article: https://blog.rankiteo.com/ons1765987159-breach-december-2025/
- Onset LLC CyberSecurity Score History: https://www.rankiteo.com/company/onset-llc/history
- Onset LLC CyberSecurity Incident Source: https://straussborrelli.com/2025/12/17/onset-financial-data-breach-investigation/
- 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