Incident Score: Analysis & Impact (OPE1780324345)
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 OPE1780324345.
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 572 and after the incident was 560 with a difference of -12 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.
OpenAI Codex Developers recently reported "Malicious Supply Chain Campaign Targets OpenAI Codex Developers via Fake UI Tool", a noteworthy cybersecurity incident.
Cybersecurity researchers have uncovered a sophisticated supply chain attack targeting developers using OpenAI Codex through a deceptive npm package and Android apps.
The disruption is felt across the environment, affecting Developer environments using OpenAI Codex, Android devices with malicious apps, and exposing OpenAI Codex authentication tokens (access_token, refresh_token, id_token, account ID).
In response, moved swiftly to contain the threat with measures like Malicious code removed from npm package and GitHub repository, and began remediation that includes Package author removed affected code; Google Play apps may have been removed or updated, and stakeholders are being briefed through Researchers disclosed findings; package author claimed to investigate internally.
The case underscores how Ongoing (researchers disclosed findings; package author removed malicious code), teams are taking away lessons such as Risks of credential revocation delays, persistent access via refresh tokens, and supply chain attacks targeting AI developer tools, and recommending next steps like Revoke and rotate compromised OpenAI Codex tokens immediately, Monitor for unauthorized access to developer accounts and Enhance scrutiny of npm packages and third-party dependencies, with advisories going out to stakeholders covering Developers using OpenAI Codex should revoke and rotate authentication tokens immediately.
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 Supply Chain Compromise: Compromise Software Supply Chain (T1195.002) with high confidence (95%), with evidence including malicious code embedded in functional npm package (codexui-android), and 29,000+ weekly downloads on npm, Supply Chain Compromise: Compromise Software Dependencies and Development Tools (T1195.001) with high confidence (90%), supported by evidence indicating attack targets OpenAI Codex developers via deceptive npm package, and Develop Capabilities: Malware (T1471) with moderate to high confidence (80%), supported by evidence indicating malicious Android apps (50,000+ downloads) with post-installation malicious behavior. Under the Execution tactic, the analysis identified User Execution: Malicious File (T1204.002) with high confidence (90%), with evidence including developers executed malicious npm package (codexui-android), and android apps ran npm package in PRoot sandbox and Command and Scripting Interpreter: JavaScript (T1059.007) with moderate to high confidence (85%), supported by evidence indicating malicious code embedded in npm package (JavaScript). Under the Persistence tactic, the analysis identified Valid Accounts: Cloud Accounts (T1078.004) with high confidence (95%), supported by evidence indicating refresh_token does not expire, granting persistent access to victim’s account and Modify Authentication Process: Multi-Factor Authentication (T1556.003) with moderate to high confidence (70%), supported by evidence indicating stolen id_token and access_token could bypass MFA. Under the Credential Access tactic, the analysis identified Steal Application Access Token (T1528) with high confidence (95%), supported by evidence indicating exfiltrated access_token, refresh_token, id_token from ~/.codex/auth.json and Unsecured Credentials: Credentials In Files (T1552.001) with high confidence (90%), supported by evidence indicating tokens stored in plaintext at ~/.codex/auth.json. Under the Collection tactic, the analysis identified Data from Local System (T1005) with high confidence (90%), supported by evidence indicating collected tokens from ~/.codex/auth.json on developer systems. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with high confidence (95%), supported by evidence indicating tokens exfiltrated to attacker-controlled server (sentry.anyclaw.store) and Exfiltration Over Web Service: Exfiltration to Cloud Storage (T1567.002) with moderate to high confidence (70%), supported by evidence indicating domain anyclaw.store registered by threat actor. Under the Defense Evasion tactic, the analysis identified Masquerading: Match Legitimate Name or Location (T1036.005) with high confidence (90%), supported by evidence indicating malicious code disguised as Sentry error-tracking platform, Subvert Trust Controls: Code Signing (T1553.002) with moderate to high confidence (70%), supported by evidence indicating android apps passed Google Play’s pre-publish scans, and Obfuscated Files or Information: Binary Padding (T1027.001) with moderate confidence (60%), supported by evidence indicating malicious functionality added post-installation in Android apps. Under the Command and Control tactic, the analysis identified Application Layer Protocol: Web Protocols (T1071.001) with moderate to high confidence (85%), supported by evidence indicating tokens exfiltrated to sentry.anyclaw.store (HTTP/HTTPS likely). 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/OPE1780324345
- OpenAI CyberSecurity Rating page: https://www.rankiteo.com/company/openai
- OpenAI Rankiteo Cyber Incident Blog Article: https://blog.rankiteo.com/ope1780324345-openai-cyber-attack-april-2026/
- OpenAI CyberSecurity Score History: https://www.rankiteo.com/company/openai/history
- OpenAI CyberSecurity Incident Source: https://thehackernews.com/2026/06/openai-codex-authentication-tokens.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