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Analyze » OpenAI » OPEGOO1788885255

Incident Score: Analysis & Impact (OPEGOO1788885255)

The details regarding individual company incidents & reports gives you full view from every side.

Rankiteo Score Impact Analysis

Rankiteo Incident Impact-2
Company Score Before Incident347 / 1000
Company Score After Incident345 / 1000
INCIDENT NUMBEROPEGOO1788885255
Type of Cyber IncidentVulnerability
ATTACK VECTORMalicious prompt pasted into a chat, Shared ChatGPT conversation link, Custom GPT with embedded instruction
DATA EXPOSEDSensitive data including emails from...
INCIDENT DATE31/05/2026
STATUSResolved (vulnerability patched)

Key Highlights From The Incident Analysis

  • Timeline of OpenAI'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 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 OPEGOO1788885255.

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: 11173860, the industry type: Research Services and the number of employees: 9859 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 347 and after the incident was 345 with a difference of -2 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 (ChatGPT) recently reported "Covert ChatGPT Vulnerability Enabled Cross-Account Data Theft via Shared Sandbox Flaw", a noteworthy cybersecurity incident.

Check Point researchers uncovered a critical vulnerability in ChatGPT’s sandboxed execution environment that allowed attackers to hijack user sessions and exfiltrate sensitive data, including emails from connected apps like Gmail, without the victim’s knowledge.

The disruption is felt across the environment, affecting ChatGPT sandboxed execution environment, connected apps (e.g., Gmail), and exposing Sensitive data including emails from connected apps (e.g., Gmail).

In response, moved swiftly to contain the threat with measures like Decommissioning of the vulnerable JFrog Artifactory instance, and began remediation that includes Elimination of cross-account pathways in sandbox architecture.

The case underscores how Resolved (vulnerability patched), teams are taking away lessons such as The incident highlighted the risk of shared internal services creating covert communication channels between isolated environments in AI platforms. It underscored the need for strict tenant isolation, especially as AI assistants integrate with enterprise tools and user credentials, and recommending next steps like Implement strict tenant isolation in AI sandbox architectures, Review and restrict shared internal services that could bridge isolated environments and Enforce stricter default settings (e.g., 'Always ask' for connected app 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 User Execution: Malicious Link (T1204.001) with high confidence (90%), with evidence including shared ChatGPT conversation link, and malicious prompt pasted into a chat and Exploit Public-Facing Application (T1190) with moderate to high confidence (80%), supported by evidence indicating vulnerability in ChatGPT’s sandboxed execution environment. Under the Execution tactic, the analysis identified User Execution: Malicious File (T1204.002) with moderate to high confidence (80%), supported by evidence indicating custom GPT with the instruction embedded in its configuration and Content Injection (T1659) with high confidence (90%), supported by evidence indicating attacker could write a task to a shared property executed by victim’s session. Under the Privilege Escalation tactic, the analysis identified Exploitation for Privilege Escalation (T1068) with moderate to high confidence (70%), supported by evidence indicating shared internal service bridging isolated containers across accounts. Under the Credential Access tactic, the analysis identified Steal Application Access Token (T1528) with high confidence (90%), supported by evidence indicating access to victim’s Gmail account without user approval. Under the Collection tactic, the analysis identified Email Collection: Remote Email Collection (T1114.002) with high confidence (90%), supported by evidence indicating exfiltrate sensitive data including emails from connected apps like Gmail and Data from Local System (T1005) with moderate to high confidence (80%), supported by evidence indicating sensitive data...accessed via shared Artifactory API channel. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with high confidence (90%), supported by evidence indicating stolen data was returned via the same shared Artifactory API channel. Under the Defense Evasion tactic, the analysis identified Hide Artifacts: Hidden Files and Directories (T1564.001) with moderate to high confidence (80%), supported by evidence indicating attack ran silently alongside benign queries, no visible disruption and Impair Defenses: Disable or Modify Tools (T1562.001) with moderate to high confidence (70%), supported by evidence indicating default Important actions setting bypasses confirmation prompts. Under the Lateral Movement tactic, the analysis identified Use Alternate Authentication Material: Application Access Token (T1550.001) with moderate to high confidence (80%), supported by evidence indicating hijack user sessions via shared Artifactory API across accounts. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.

Initial Access
User Execution: Malicious Link (90%)
Exploit Public-Facing Application (80%)
Execution
User Execution: Malicious File (80%)
Content Injection (90%)
Privilege Escalation
Exploitation for Privilege Escalation (70%)
Credential Access
Steal Application Access Token (90%)
Collection
Email Collection: Remote Email Collection (90%)
Data from Local System (80%)
Exfiltration
Exfiltration Over C2 Channel (90%)
Defense Evasion
Hide Artifacts: Hidden Files and Directories (80%)
Impair Defenses: Disable or Modify Tools (70%)
Lateral Movement
Use Alternate Authentication Material: Application Access Token (80%)

Sources & References