Mixpanel Breach Incident Score: Analysis & Impact (DEE1534415112725)
The Rankiteo video explains how the company Mixpanel has been impacted by a Breach on the date May 01, 2025.
Incident Summary
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Key Highlights From This Incident Analysis
- Timeline of Mixpanel'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 Rankiteoโs incident engine converts technical details into a normalized incident score.
- How this cyber incident impacts Mixpanel Rankiteo cyber scoring and cyber rating.
- Rankiteoโs MITRE ATT&CK correlation analysis for this incident, with associated confidence level.
Full Incident Analysis Transcript
In this Rankiteo incident briefing, we review the Mixpanel breach identified under incident ID DEE1534415112725.
The analysis begins with a detailed overview of Mixpanel's information like the linkedin page: https://www.linkedin.com/company/mixpanel-inc-, the number of followers: 68702, the industry type: IT Services and IT Consulting and the number of employees: 534 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 757 and after the incident was 695 with a difference of -62 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 Mixpanel and their customers.
OpenAI recently reported "Mixpanel Data Breach Exposes OpenAI Clients' Details", a noteworthy cybersecurity incident.
Threat actors have obtained personally identifiable data of OpenAI customers, including the name, email IDs, approximate coarse location, Operating System of the device and browser used by the person, websites browsed, and organisation or User IDs associated with the API accou...
The disruption is felt across the environment, and exposing Personally identifiable information (PII), Names and Email IDs.
Formal response steps have not been shared publicly yet.
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.
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 Trusted Relationship (T1199) with high confidence (95%), with evidence including breached Mixpanel, a third-party analytics service used by OpenAI, and vulnerabilities in third-party dependencies. Under the Collection tactic, the analysis identified Data from Local System (T1005) with high confidence (95%), supported by evidence indicating names, email addresses, approximate coarse locations, device details, browsing history, and organization/user IDs and Data from Information Repositories: Cloud Storage (T1213.003) with high confidence (90%), supported by evidence indicating mixpanel, a third-party analytics service storing OpenAI customer data. Under the Exfiltration tactic, the analysis identified Exfiltration Over Alternative Protocol: Exfiltration to Cloud Storage (T1048.003) with high confidence (90%), with evidence including data obtained by threat actors from Mixpanel (cloud analytics service), and data exfiltration such as Yes. Under the Impact tactic, the analysis identified Gather Victim Identity Information: Email Addresses (T1589.002) with high confidence (95%), supported by evidence indicating exposure of PIIโparticularly email addresses for targeted phishing and Gather Victim Identity Information: Credentials (T1589.003) with moderate to high confidence (85%), with evidence including user IDs associated with OpenAIโs API accounts exposed, and risk of unauthorized access to linked services. Under the Reconnaissance tactic, the analysis identified Gather Victim Host Information (T1590) with high confidence (90%), supported by evidence indicating operating System details, Browser information collected and Gather Victim Identity Information (T1592) with high confidence (95%), supported by evidence indicating names, email addresses, approximate coarse locations exposed. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.
Sources
- Mixpanel Rankiteo Cyber Incident Details: http://www.rankiteo.com/company/mixpanel-inc-/incident/DEE1534415112725
- Mixpanel CyberSecurity Rating page: https://www.rankiteo.com/company/mixpanel-inc-
- Mixpanel Rankiteo Cyber Incident Blog Article: https://blog.rankiteo.com/dee1534415112725-openai-breach-may-2025/
- Mixpanel CyberSecurity Score History: https://www.rankiteo.com/company/mixpanel-inc-/history
- Mixpanel CyberSecurity Incident Source: https://www.deccanherald.com/technology/artificial-intelligence/mixpanel-data-breach-exposes-openai-clients-details-including-location-3812072
- Rankiteo A.I CyberSecurity Rating methodology: https://www.rankiteo.com/static/rankiteo_algo.pdf
- Rankiteo TPRM Scoring methodology: https://static.rankiteo.com/model/rankiteo_tprm_methodology.pdf





