Incident Score: Analysis & Impact (NOT1776839801)
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 Notion's Vulnerability 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 Notion 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 Notion breach identified under incident ID NOT1776839801.
The analysis begins with a detailed overview of Notion's information like the linkedin page: https://www.linkedin.com/company/notionhq, the number of followers: 934589, the industry type: Software Development and the number of employees: 5221 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 697 and after the incident was 693 with a difference of -4 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 Notion and their customers.
Notion recently reported "Notion Privacy Leak Exposes User Metadata in Public Pages", a noteworthy cybersecurity incident.
A recent investigation revealed a privacy risk in Notion where publicly shared pages may inadvertently expose personal metadata of collaborators, including usernames, profile images, and email addresses.
The disruption is felt across the environment, affecting Notion public pages and API responses, and exposing Usernames, profile images, email addresses.
In response, and began remediation that includes Exploring solutions such as removing personal identifiers from public API responses or implementing email masking, and stakeholders are being briefed through Acknowledged the issue publicly and committed to a fix.
The case underscores how teams are taking away lessons such as Highlights the broader risks of metadata exposure in collaborative platforms and the importance of clear user warnings, and recommending next steps like Implement email masking, remove personal identifiers from public API responses, and improve user interface warnings about metadata exposure.
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 Exploit Public-Facing Application (T1190) with moderate confidence (60%), supported by evidence indicating publicly shared pages may inadvertently expose personal metadata. Under the Credential Access tactic, the analysis identified Unsecured Credentials: Credentials In Files (T1552.001) with moderate confidence (50%), supported by evidence indicating internal metadata included alongside visible content in public pages. Under the Collection tactic, the analysis identified Data from Information Repositories (T1213) with moderate to high confidence (80%), supported by evidence indicating usernames, profile images, email addresses exposed via public pages and Data from Local System (T1005) with moderate to high confidence (70%), supported by evidence indicating personal metadata of collaborators exposed in public pages. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with lower confidence (40%), supported by evidence indicating metadata exposure in public API responses and Transfer Data to Cloud Account (T1537) with moderate confidence (50%), supported by evidence indicating publicly shared pages may inadvertently expose personal metadata. Under the Impact tactic, the analysis identified Data Destruction (T1485) with lower confidence (30%), supported by evidence indicating potential risk due to exposed email addresses and personal identifiers and Disk Wipe: Disk Content Wipe (T1561.002) with lower confidence (20%), supported by evidence indicating privacy risk in Notion due to metadata exposure. Under the Reconnaissance tactic, the analysis identified Gather Victim Network Information: Domain Properties (T1590.001) with moderate confidence (60%), supported by evidence indicating publicly shared pages expose usernames, profile images, email addresses. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.
Sources & References
- Notion Rankiteo Cyber Incident Details: https://www.rankiteo.com/company/notionhq/incident/NOT1776839801
- Notion CyberSecurity Rating page: https://www.rankiteo.com/company/notionhq
- Notion Rankiteo Cyber Incident Blog Article: https://blog.rankiteo.com/not1776839801-notion-vulnerability-april-2026/
- Notion CyberSecurity Score History: https://www.rankiteo.com/company/notionhq/history
- Notion CyberSecurity Incident Source: https://www.escudodigital.com/en/cybersecurity/notion-public-pages-found-leaking-user-emails-and-profile-pictures.html
- 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