OpenAI Company Cyber Security Posture
openai.comOpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. AI is an extremely powerful tool that must be created with safety and human needs at its core. OpenAI is dedicated to putting that alignment of interests first — ahead of profit. To achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. Our investment in diversity, equity, and inclusion is ongoing, executed through a wide range of initiatives, and championed and supported by leadership. At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
OpenAI Company Details
openai
6872 employees
7885491.0
541
Research Services
openai.com
Scan still pending
OPE_5906177
In-progress
OpenAI Risk Score (AI oriented)Between 900 and 1000
This score is AI-generated and less favored by cyber insurers, who prefer the TPRM score.
OpenAI Global Score.png)
OpenAI Company Scoring based on AI Models
| Model Name | Date | Description | Current Score Difference | Score |
|---|---|---|---|---|
| AVERAGE-Industry | 03-12-2025 | This score represents the average cybersecurity rating of companies already scanned within the same industry. It provides a benchmark to compare an individual company's security posture against its industry peers. | N/A | Between 900 and 1000 |
OpenAI Company Cyber Security News & History
| Entity | Type | Severity | Impact | Seen | Url ID | Details | View |
|---|---|---|---|---|---|---|---|
| OpenAI | Breach | 60 | 2 | 7/2024 | OPE001080824 | Link | |
Rankiteo Explanation : Attack limited on finance or reputationDescription: OpenAI, known for its AI model GPT-4o, has raised privacy issues with its data collection methods, including using extensive user inputs to train its models. Despite claims of anonymization, the broad data hoovering practices and a previous security lapse in the ChatGPT desktop app, which allowed access to plaintext chats, have heightened privacy concerns. OpenAI has addressed this with an update, yet the extent of data collection remains a worry, especially with the sophisticated capabilities of GPT-4o that might increase the data types collected. | |||||||
| OpenAI | Data Leak | 60 | 3 | 03/2023 | OPE333723 | Link | |
Rankiteo Explanation : Attack with significant impact with internal employee data leaksDescription: ChatGPT was offline earlier due to a bug in an open-source library that allowed some users to see titles from another active user’s chat history. It’s also possible that the first message of a newly-created conversation was visible in someone else’s chat history if both users were active around the same time. It was also discovered that the same bug may have caused the unintentional visibility of payment-related information of 1.2% of the ChatGPT Plus subscribers who were active during a specific nine-hour window. The number of users whose data was actually revealed to someone else is extremely low. and the company notified affected users that their payment information may have been exposed. | |||||||
| OpenAI | Vulnerability | 60 | 3 | 7/2024 | OPE000080124 | Link | |
Rankiteo Explanation : Attack with significant impact with internal employee data leaksDescription: OpenAI's release of the GPT-4o AI model raised significant privacy concerns due to its extensive data collection practices. Issues were highlighted when it was discovered that the AI could inadvertently access user data and store conversations in plain text. Despite steps to anonymize and encrypt data, critiques pointed out that the privacy policy allows for broad data hoovering to train models, encompassing an array of user content. The potential misuse of personal and usage data has led to increased scrutiny by regulators and the public. | |||||||
| OpenAI | Vulnerability | 85 | 4 | 3/2025 | OPE421031825 | Link | |
Rankiteo Explanation : Attack with significant impact with customers data leaksDescription: OpenAI's infrastructure has been compromised by a SSRF vulnerability (CVE-2024-27564) in its ChatGPT application, impacting the financial sector. Attackers manipulated the 'url' parameter within the pictureproxy.php component to make arbitrary requests and extract sensitive information. Over 10,479 attack instances were noted from a single malicious IP in a week, with the U.S. bearing 33% of these attacks. Financial institutions, especially banks and fintech firms, are reeling from the consequences such as data breaches, unauthorized transactions, and reputational damage. Despite the medium CVSS score of 6.5, the flaw's extensive exploitation has caused significant concern, with about 35% of entities at risk due to security misconfigurations. | |||||||
| OpenAI | Vulnerability | 85 | 4 | 8/2025 | OPE534081025 | Link | |
Rankiteo Explanation : Attack with significant impact with customers data leaksDescription: A critical vulnerability in OpenAI's ChatGPT Connectors feature, dubbed 'AgentFlayer,' allows attackers to exfiltrate sensitive data from connected Google Drive accounts without user interaction. The zero-click exploit leverages indirect prompt injection via malicious documents, enabling automatic data theft when processed by ChatGPT. Attackers can bypass security measures by using Azure Blob Storage URLs, leading to potential breaches of enterprise systems, including HR manuals, financial documents, and strategic plans. The vulnerability highlights broader security challenges in AI-powered enterprise tools, with OpenAI implementing mitigations but the underlying issue remaining unresolved. | |||||||
OpenAI Company Subsidiaries
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. AI is an extremely powerful tool that must be created with safety and human needs at its core. OpenAI is dedicated to putting that alignment of interests first — ahead of profit. To achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. Our investment in diversity, equity, and inclusion is ongoing, executed through a wide range of initiatives, and championed and supported by leadership. At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
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Frequently Asked Questions
Explore insights on cybersecurity incidents, risk posture, and Rankiteo's assessments.
OpenAI CyberSecurity History Information
How many cyber incidents has OpenAI faced?
Total Incidents: According to Rankiteo, OpenAI has faced 5 incidents in the past.
What types of cybersecurity incidents have occurred at OpenAI?
Incident Types: The types of cybersecurity incidents that have occurred incidents Breach, Vulnerability and Data Leak.
How does OpenAI detect and respond to cybersecurity incidents?
Detection and Response: The company detects and responds to cybersecurity incidents through remediation measures with Implemented mitigations to address the specific attack demonstrated by the researchers and remediation measures with Update to address the issue and communication strategy with Company notified affected users.
Incident Details
Can you provide details on each incident?
Incident : Zero-click exploit, Data exfiltration
Title: AgentFlayer: Zero-Click Data Exfiltration Vulnerability in OpenAI's ChatGPT Connectors
Description: A critical vulnerability in OpenAI's ChatGPT Connectors feature allows attackers to exfiltrate sensitive data from connected Google Drive accounts without any user interaction beyond the initial file sharing. The attack, dubbed 'AgentFlayer,' represents a new class of zero-click exploits targeting AI-powered enterprise tools.
Date Publicly Disclosed: 2025 (Black Hat hacker conference in Las Vegas)
Type: Zero-click exploit, Data exfiltration
Attack Vector: Indirect prompt injection attack
Vulnerability Exploited: ChatGPT Connectors feature
Incident : SSRF Vulnerability
Title: OpenAI Infrastructure Compromised by SSRF Vulnerability
Description: OpenAI's infrastructure has been compromised by a SSRF vulnerability (CVE-2024-27564) in its ChatGPT application, impacting the financial sector. Attackers manipulated the 'url' parameter within the pictureproxy.php component to make arbitrary requests and extract sensitive information. Over 10,479 attack instances were noted from a single malicious IP in a week, with the U.S. bearing 33% of these attacks. Financial institutions, especially banks and fintech firms, are reeling from the consequences such as data breaches, unauthorized transactions, and reputational damage. Despite the medium CVSS score of 6.5, the flaw's extensive exploitation has caused significant concern, with about 35% of entities at risk due to security misconfigurations.
Type: SSRF Vulnerability
Attack Vector: Manipulation of 'url' parameter in pictureproxy.php component
Vulnerability Exploited: CVE-2024-27564
Motivation: Data breaches, Unauthorized transactions, Reputational damage
Incident : Data Privacy Issue
Title: OpenAI Privacy Concerns with GPT-4o Data Collection
Description: OpenAI, known for its AI model GPT-4o, has raised privacy issues with its data collection methods, including using extensive user inputs to train its models. Despite claims of anonymization, the broad data hoovering practices and a previous security lapse in the ChatGPT desktop app, which allowed access to plaintext chats, have heightened privacy concerns. OpenAI has addressed this with an update, yet the extent of data collection remains a worry, especially with the sophisticated capabilities of GPT-4o that might increase the data types collected.
Type: Data Privacy Issue
Vulnerability Exploited: Data Collection Practices
Incident : Data Privacy Issue
Title: Privacy Concerns with GPT-4o AI Model Release
Description: OpenAI's release of the GPT-4o AI model raised significant privacy concerns due to its extensive data collection practices. Issues were highlighted when it was discovered that the AI could inadvertently access user data and store conversations in plain text. Despite steps to anonymize and encrypt data, critiques pointed out that the privacy policy allows for broad data hoovering to train models, encompassing an array of user content. The potential misuse of personal and usage data has led to increased scrutiny by regulators and the public.
Type: Data Privacy Issue
Vulnerability Exploited: Data Collection Practices, Privacy Policy Loopholes
Incident : Data Leak
Title: ChatGPT Data Leak Incident
Description: ChatGPT was offline earlier due to a bug in an open-source library that allowed some users to see titles from another active user’s chat history. It’s also possible that the first message of a newly-created conversation was visible in someone else’s chat history if both users were active around the same time. It was also discovered that the same bug may have caused the unintentional visibility of payment-related information of 1.2% of the ChatGPT Plus subscribers who were active during a specific nine-hour window. The number of users whose data was actually revealed to someone else is extremely low, and the company notified affected users that their payment information may have been exposed.
Type: Data Leak
Attack Vector: Bug in open-source library
Vulnerability Exploited: Bug in open-source library
What are the most common types of attacks the company has faced?
Common Attack Types: The most common types of attacks the company has faced is Vulnerability.
How does the company identify the attack vectors used in incidents?
Identification of Attack Vectors: The company identifies the attack vectors used in incidents through Malicious document uploaded to ChatGPT or shared to Google Drive and pictureproxy.php component.
Impact of the Incidents
What was the impact of each incident?
Incident : Zero-click exploit, Data exfiltration OPE534081025
Data Compromised: API keys, credentials, confidential documents
Systems Affected: Google Drive, SharePoint, GitHub, Microsoft 365
Incident : SSRF Vulnerability OPE421031825
Data Compromised: Sensitive information
Systems Affected: Financial institutions, Banks, Fintech firms
Brand Reputation Impact: Reputational damage
Incident : Data Privacy Issue OPE001080824
Data Compromised: User inputs, Plaintext chats
Systems Affected: ChatGPT desktop app
Brand Reputation Impact: Heightened privacy concerns
Incident : Data Privacy Issue OPE000080124
Data Compromised: User Data, Conversations
Brand Reputation Impact: Increased Scrutiny by Regulators and the Public
Incident : Data Leak OPE333723
Data Compromised: Chat history titles, First message of new conversations, Payment-related information
Payment Information Risk: High
What types of data are most commonly compromised in incidents?
Commonly Compromised Data Types: The types of data most commonly compromised in incidents are API keys, credentials, confidential documents, Sensitive information, User inputs, Plaintext chats, User Data, Conversations, Chat history titles, First message of new conversations and Payment-related information.
Which entities were affected by each incident?
Incident : Zero-click exploit, Data exfiltration OPE534081025
Entity Type: Technology Company
Industry: Artificial Intelligence
Incident : Data Leak OPE333723
Entity Type: Service Provider
Industry: Technology
Customers Affected: 1.2% of ChatGPT Plus subscribers
Response to the Incidents
What measures were taken in response to each incident?
Incident : Zero-click exploit, Data exfiltration OPE534081025
Remediation Measures: Implemented mitigations to address the specific attack demonstrated by the researchers
Incident : Data Privacy Issue OPE001080824
Remediation Measures: Update to address the issue
Incident : Data Leak OPE333723
Communication Strategy: Company notified affected users
Data Breach Information
What type of data was compromised in each breach?
Incident : Zero-click exploit, Data exfiltration OPE534081025
Type of Data Compromised: API keys, credentials, confidential documents
Sensitivity of Data: High
Data Exfiltration: Yes
Incident : SSRF Vulnerability OPE421031825
Type of Data Compromised: Sensitive information
Incident : Data Privacy Issue OPE001080824
Type of Data Compromised: User inputs, Plaintext chats
Incident : Data Privacy Issue OPE000080124
Type of Data Compromised: User Data, Conversations
Data Encryption: Anonymize and Encrypt Data
Incident : Data Leak OPE333723
Type of Data Compromised: Chat history titles, First message of new conversations, Payment-related information
Number of Records Exposed: Extremely low number of users
Sensitivity of Data: High
What measures does the company take to prevent data exfiltration?
Prevention of Data Exfiltration: The company takes the following measures to prevent data exfiltration: Implemented mitigations to address the specific attack demonstrated by the researchers, Update to address the issue.
Lessons Learned and Recommendations
What lessons were learned from each incident?
Incident : Zero-click exploit, Data exfiltration OPE534081025
Lessons Learned: The vulnerability exemplifies broader security challenges facing AI-powered enterprise tools. Similar issues have been discovered across the industry, including Microsoft's 'EchoLeak' vulnerability in Copilot and various prompt injection attacks against other AI assistants.
What recommendations were made to prevent future incidents?
Incident : Zero-click exploit, Data exfiltration OPE534081025
Recommendations: Implement strict access controls for AI connector permissions, following the principle of least privilege., Deploy monitoring solutions specifically designed for AI agent activities., Educate users about the risks of uploading documents from untrusted sources to AI systems., Consider network-level monitoring for unusual data access patterns., Regularly audit connected services and their permission levels.
What are the key lessons learned from past incidents?
Key Lessons Learned: The key lessons learned from past incidents are The vulnerability exemplifies broader security challenges facing AI-powered enterprise tools. Similar issues have been discovered across the industry, including Microsoft's 'EchoLeak' vulnerability in Copilot and various prompt injection attacks against other AI assistants.
What recommendations has the company implemented to improve cybersecurity?
Implemented Recommendations: The company has implemented the following recommendations to improve cybersecurity: Implement strict access controls for AI connector permissions, following the principle of least privilege., Deploy monitoring solutions specifically designed for AI agent activities., Educate users about the risks of uploading documents from untrusted sources to AI systems., Consider network-level monitoring for unusual data access patterns., Regularly audit connected services and their permission levels..
References
Where can I find more information about each incident?
Incident : Zero-click exploit, Data exfiltration OPE534081025
Source: Black Hat hacker conference in Las Vegas
Where can stakeholders find additional resources on cybersecurity best practices?
Additional Resources: Stakeholders can find additional resources on cybersecurity best practices at and Source: Black Hat hacker conference in Las Vegas.
Investigation Status
How does the company communicate the status of incident investigations to stakeholders?
Communication of Investigation Status: The company communicates the status of incident investigations to stakeholders through was Company notified affected users.
Stakeholder and Customer Advisories
Were there any advisories issued to stakeholders or customers for each incident?
Incident : Data Leak OPE333723
Customer Advisories: Company notified affected users
What advisories does the company provide to stakeholders and customers following an incident?
Advisories Provided: The company provides the following advisories to stakeholders and customers following an incident: was Company notified affected users.
Initial Access Broker
How did the initial access broker gain entry for each incident?
Incident : Zero-click exploit, Data exfiltration OPE534081025
Entry Point: Malicious document uploaded to ChatGPT or shared to Google Drive
Incident : SSRF Vulnerability OPE421031825
Entry Point: pictureproxy.php component
High Value Targets: Financial institutions, Banks, Fintech firms
Data Sold on Dark Web: Financial institutions, Banks, Fintech firms
Post-Incident Analysis
What were the root causes and corrective actions taken for each incident?
Incident : Zero-click exploit, Data exfiltration OPE534081025
Root Causes: Indirect prompt injection attack exploiting ChatGPT Connectors feature
Corrective Actions: OpenAI implemented mitigations to address the specific attack demonstrated by the researchers
Incident : SSRF Vulnerability OPE421031825
Root Causes: Security misconfigurations
Incident : Data Privacy Issue OPE001080824
Root Causes: Broad data hoovering practices
Corrective Actions: Update to address the issue
Incident : Data Leak OPE333723
Root Causes: Bug in open-source library
What corrective actions has the company taken based on post-incident analysis?
Corrective Actions Taken: The company has taken the following corrective actions based on post-incident analysis: OpenAI implemented mitigations to address the specific attack demonstrated by the researchers, Update to address the issue.
Additional Questions
Incident Details
What was the most recent incident publicly disclosed?
Most Recent Incident Publicly Disclosed: The most recent incident publicly disclosed was on 2025 (Black Hat hacker conference in Las Vegas).
Impact of the Incidents
What was the most significant data compromised in an incident?
Most Significant Data Compromised: The most significant data compromised in an incident were API keys, credentials, confidential documents, Sensitive information, User inputs, Plaintext chats, User Data, Conversations, Chat history titles, First message of new conversations and Payment-related information.
What was the most significant system affected in an incident?
Most Significant System Affected: The most significant system affected in an incident were Google Drive, SharePoint, GitHub, Microsoft 365 and Financial institutions, Banks, Fintech firms and ChatGPT desktop app.
Data Breach Information
What was the most sensitive data compromised in a breach?
Most Sensitive Data Compromised: The most sensitive data compromised in a breach were API keys, credentials, confidential documents, Sensitive information, User inputs, Plaintext chats, User Data, Conversations, Chat history titles, First message of new conversations and Payment-related information.
What was the number of records exposed in the most significant breach?
Number of Records Exposed in Most Significant Breach: The number of records exposed in the most significant breach was 0.
Lessons Learned and Recommendations
What was the most significant lesson learned from past incidents?
Most Significant Lesson Learned: The most significant lesson learned from past incidents was The vulnerability exemplifies broader security challenges facing AI-powered enterprise tools. Similar issues have been discovered across the industry, including Microsoft's 'EchoLeak' vulnerability in Copilot and various prompt injection attacks against other AI assistants.
What was the most significant recommendation implemented to improve cybersecurity?
Most Significant Recommendation Implemented: The most significant recommendation implemented to improve cybersecurity was Implement strict access controls for AI connector permissions, following the principle of least privilege., Deploy monitoring solutions specifically designed for AI agent activities., Educate users about the risks of uploading documents from untrusted sources to AI systems., Consider network-level monitoring for unusual data access patterns., Regularly audit connected services and their permission levels..
References
What is the most recent source of information about an incident?
Most Recent Source: The most recent source of information about an incident is Black Hat hacker conference in Las Vegas.
Stakeholder and Customer Advisories
What was the most recent customer advisory issued?
Most Recent Customer Advisory: The most recent customer advisory issued was was an Company notified affected users.
Initial Access Broker
What was the most recent entry point used by an initial access broker?
Most Recent Entry Point: The most recent entry point used by an initial access broker were an Malicious document uploaded to ChatGPT or shared to Google Drive and pictureproxy.php component.
Post-Incident Analysis
What was the most significant root cause identified in post-incident analysis?
Most Significant Root Cause: The most significant root cause identified in post-incident analysis was Indirect prompt injection attack exploiting ChatGPT Connectors feature, Security misconfigurations, Broad data hoovering practices, Bug in open-source library.
What was the most significant corrective action taken based on post-incident analysis?
Most Significant Corrective Action: The most significant corrective action taken based on post-incident analysis was OpenAI implemented mitigations to address the specific attack demonstrated by the researchers, Update to address the issue.
What Do We Measure?
Every week, Rankiteo analyzes billions of signals to give organizations a sharper, faster view of emerging risks. With deeper, more actionable intelligence at their fingertips, security teams can outpace threat actors, respond instantly to Zero-Day attacks, and dramatically shrink their risk exposure window.
These are some of the factors we use to calculate the overall score:
Identify exposed access points, detect misconfigured SSL certificates, and uncover vulnerabilities across the network infrastructure.
Gain visibility into the software components used within an organization to detect vulnerabilities, manage risk, and ensure supply chain security.
Monitor and manage all IT assets and their configurations to ensure accurate, real-time visibility across the company's technology environment.
Leverage real-time insights on active threats, malware campaigns, and emerging vulnerabilities to proactively defend against evolving cyberattacks.
