Incident Score: Analysis & Impact (NOR1778862436)
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Rankiteo Score Impact Analysis
Key Highlights From The Incident Analysis
- Timeline of Norton's Cyber Attack 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 Norton 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 Norton breach identified under incident ID NOR1778862436.
The analysis begins with a detailed overview of Norton's information like the linkedin page: https://www.linkedin.com/company/norton, the number of followers: 5510, the industry type: Software Development and the number of employees: None 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 754 and after the incident was 736 with a difference of -18 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 Norton and their customers.
Microsoft 365 users recently reported "Hackers Exploit Microsoft OAuth Feature in Large-Scale Credential Theft Campaigns", a noteworthy cybersecurity incident.
Since late 2024, cybercriminals have increasingly abused Microsoft’s OAuth device authorization flow—a legitimate authentication feature—to steal Microsoft 365 account credentials at scale.
The disruption is felt across the environment, affecting Microsoft 365 accounts, authentication systems, and exposing Microsoft 365 account credentials, persistent access tokens.
In response, moved swiftly to contain the threat with measures like Blocking device code flows via conditional access policies, requiring managed devices for authentication.
The case underscores how Ongoing, teams are taking away lessons such as Traditional phishing awareness training is insufficient for OAuth-based attacks. Security teams must proactively block device code flows and enforce managed device requirements for authentication, and recommending next steps like Block device code flows via conditional access policies, Require managed devices for authentication and Monitor for unusual OAuth token generation.
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 (90%), with evidence including phishing emails containing PDFs, URLs, or QR codes, and distribute them through phishing emails, Phishing: Spearphishing Link (T1566.001) with moderate to high confidence (80%), supported by evidence indicating phishing emails containing...URLs, or QR codes, and Phishing: Spearphishing Attachment (T1566.002) with moderate to high confidence (80%), supported by evidence indicating phishing emails containing PDFs. Under the Credential Access tactic, the analysis identified Steal Application Access Token (T1528) with high confidence (95%), with evidence including steal Microsoft 365 account credentials, and obtain persistent access tokens, Multi-Factor Authentication Request Generation (T1621) with moderate to high confidence (70%), supported by evidence indicating tycoon 2FA phishing kit added device code capabilities, and Brute Force: Password Guessing (T1110.001) with moderate confidence (50%), supported by evidence indicating traditional credential-harvesting methods. Under the Persistence tactic, the analysis identified Account Manipulation (T1098) with high confidence (90%), supported by evidence indicating maintain control even if the victim changes their password and Access Token Manipulation: Token Impersonation/Theft (T1134.001) with high confidence (90%), supported by evidence indicating obtain persistent access tokens. Under the Defense Evasion tactic, the analysis identified Use Alternate Authentication Material: Application Access Token (T1550.004) with high confidence (95%), supported by evidence indicating entire process occurs on legitimate Microsoft domains and Valid Accounts: Cloud Accounts (T1078.004) with high confidence (90%), supported by evidence indicating microsoft 365 account credentials. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate to high confidence (70%), supported by evidence indicating data exfiltration, persistent account access. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.
Sources & References
- Norton Rankiteo Cyber Incident Details: https://www.rankiteo.com/company/norton/incident/NOR1778862436
- Norton CyberSecurity Rating page: https://www.rankiteo.com/company/norton
- Norton Rankiteo Cyber Incident Blog Article: https://blog.rankiteo.com/nor1778862436-norton-cyber-attack-january-2025/
- Norton CyberSecurity Score History: https://www.rankiteo.com/company/norton/history
- Norton CyberSecurity Incident Source: https://cybersecuritynews.com/hackers-abuse-oauth-device-authorization-flow/
- 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