Incident Score: Analysis & Impact (GCPTINOPETHE1776717501)
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 OpenAI'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 OpenAI 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 OpenAI breach identified under incident ID GCPTINOPETHE1776717501.
The analysis begins with a detailed overview of OpenAI's information like the linkedin page: https://www.linkedin.com/company/openai, the number of followers: 9569287, the industry type: Research Services and the number of employees: 6888 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 722 and after the incident was 707 with a difference of -15 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 OpenAI and their customers.
A newly reported cybersecurity incident, "Multi-Stage OAuth-Based Attack Chain Targeting Organizations", has drawn attention.
A sophisticated attack chain involving compromised OAuth applications, internal system access, and credential abuse.
The disruption is felt across the environment, affecting Google Workspace, Vercel, CI/CD platforms, Slack, Jira, GitHub, AWS, GCP, Azure, SaaS APIs, and exposing Environment variables, credentials, internal documents, API keys, secrets, passwords.
In response, moved swiftly to contain the threat with measures like Revoke unauthorized OAuth applications, rotate compromised credentials, monitor for anomalous activity, and began remediation that includes Implement SIEM detection rules, audit OAuth app permissions, baseline normal deployment activity.
The case underscores how teams are taking away lessons such as OAuth applications with broad permissions pose significant risks. Proactive monitoring of token usage, SSO anomalies, and environment variable access is critical. Credential rotation and audit logs are essential for mitigating downstream abuse, and recommending next steps like Implement SIEM detection rules for OAuth token abuse and SSO anomalies, Audit and revoke over-permissioned or unused OAuth applications and Monitor for bulk email searches and unusual Drive file access.
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: Cloud Accounts (T1078.004) with high confidence (90%), supported by evidence indicating exploited a known-bad OAuth Client ID linked to the Context.ai application and Phishing: Spearphishing Link (T1566.001) with moderate confidence (50%), supported by evidence indicating oAuth token abuse via compromised Client ID (potential phishing vector). Under the Credential Access tactic, the analysis identified Steal Application Access Token (T1528) with high confidence (90%), supported by evidence indicating token abuse tied to compromised OAuth Client ID (110671459871-30f1spbu0hptbs60cb4vsmv79i7bbvqj.apps.googleusercontent.com), Unsecured Credentials: Credentials In Files (T1552.001) with moderate to high confidence (80%), supported by evidence indicating bulk email searches for API key, secret, password; environment variable enumeration, and Unsecured Credentials: Cloud Instance Metadata API (T1552.005) with moderate to high confidence (70%), supported by evidence indicating environment variable access in Vercel audit logs. Under the Lateral Movement tactic, the analysis identified Remote Services: Cloud Services (T1021.007) with moderate to high confidence (80%), supported by evidence indicating unauthorized access to Google Workspace, Vercel, CI/CD platforms, Slack, Jira, GitHub and Use Alternate Authentication Material: Application Access Token (T1550.001) with high confidence (90%), supported by evidence indicating oAuth token abuse for lateral movement across connected tools. Under the Collection tactic, the analysis identified Data from Cloud Storage (T1530) with moderate to high confidence (80%), supported by evidence indicating unusual Drive file access (credential stores, engineering docs) and Data from Information Repositories: Sharepoint (T1213.002) with moderate to high confidence (70%), supported by evidence indicating bulk email searches for sensitive terms in Google Workspace. Under the Exfiltration tactic, the analysis identified Transfer Data to Cloud Account (T1537) with moderate to high confidence (70%), supported by evidence indicating potential data exfiltration via compromised OAuth-connected tools and Exfiltration Over C2 Channel (T1041) with moderate confidence (60%), supported by evidence indicating downstream credential abuse in AWS/GCP/Azure audit logs. Under the Defense Evasion tactic, the analysis identified Use Alternate Authentication Material: Web Session Cookie (T1550.004) with moderate to high confidence (80%), supported by evidence indicating token usage from IPs outside expected corporate CIDR ranges and Valid Accounts: Cloud Accounts (T1078.004) with high confidence (90%), supported by evidence indicating abuse of legitimate OAuth tokens to bypass authentication controls. Under the Impact tactic, the analysis identified Account Access Removal (T1531) with moderate confidence (50%), supported by evidence indicating potential unauthorized permission requests or group membership changes. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.
Sources & References
- OpenAI Rankiteo Cyber Incident Details: https://www.rankiteo.com/company/openai/incident/GCPTINOPETHE1776717501
- OpenAI CyberSecurity Rating page: https://www.rankiteo.com/company/openai
- OpenAI Rankiteo Cyber Incident Blog Article: https://blog.rankiteo.com/gcptinopethe1776717501-contextai-openai-slack-gcp-cyber-attack-june-2024/
- OpenAI CyberSecurity Score History: https://www.rankiteo.com/company/openai/history
- OpenAI CyberSecurity Incident Source: https://www.trendmicro.com/en_us/research/26/d/vercel-breach-oauth-supply-chain.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