Recently, seven new vulnerabilities affecting ChatGPT have been reported, highlighting potential security risks including data theft and memory hijacking. These vulnerabilities were disclosed through a Reddit InfoSec news post referencing an article on hackread.com, but lack detailed technical descriptions, affected version information, or patch availability. The vulnerabilities reportedly allow attackers to access sensitive data processed by ChatGPT and manipulate memory, which could lead to unauthorized code execution or data leakage. However, no known exploits have been observed in the wild, and the discussion within the InfoSec community remains limited, indicating early-stage disclosure. The absence of CVEs or CWEs and patch links suggests these issues are either newly discovered or not yet fully analyzed. ChatGPT, as a widely used AI language model service, processes large volumes of user input and output data, making confidentiality and integrity critical concerns. Memory hijacking vulnerabilities could potentially allow attackers to execute arbitrary code or disrupt service availability. The medium severity rating reflects the potential impact balanced against the current lack of exploitation and detailed technical data. Organizations leveraging ChatGPT for business or operational purposes should be vigilant, as exploitation could lead to data breaches or service interruptions. The threat landscape remains dynamic, and further technical details or patches may emerge, necessitating continuous monitoring.

For European organizations, these vulnerabilities pose risks primarily related to confidentiality and integrity of data processed through ChatGPT. Sensitive business information, intellectual property, or personal data could be exposed if attackers exploit these flaws. Memory hijacking could also lead to denial of service or unauthorized code execution, impacting availability and trust in AI services. Organizations heavily reliant on AI-driven workflows, customer support, or content generation may experience operational disruptions. Given the widespread adoption of AI tools in sectors such as finance, healthcare, and government, the potential for data leakage or service compromise could have regulatory and reputational consequences under GDPR and other data protection frameworks. The lack of known exploits currently reduces immediate risk, but the vulnerabilities could be leveraged in targeted attacks or combined with other threats. European entities integrating ChatGPT into critical systems or handling sensitive data should consider these impacts seriously and prepare accordingly.

1. Monitor official OpenAI channels and trusted cybersecurity advisories for updates and patches addressing these vulnerabilities. 2. Avoid inputting highly sensitive or regulated data into ChatGPT until vulnerabilities are fully mitigated. 3. Implement network segmentation and firewall rules to restrict ChatGPT API access to authorized systems and users only. 4. Employ data loss prevention (DLP) tools to monitor and control data flows involving AI services. 5. Conduct internal security assessments to understand the extent of ChatGPT integration and potential exposure. 6. Educate employees on the risks of sharing confidential information with AI tools. 7. Prepare incident response plans that include scenarios involving AI service compromise. 8. Use endpoint protection and memory integrity monitoring on systems interacting with ChatGPT APIs to detect anomalous behavior. 9. Consider alternative AI solutions with stronger security guarantees if critical data processing is involved. 10. Engage with vendors and service providers to ensure timely patching and vulnerability management.