CVE-2025-62039 is a vulnerability identified in the Ays Pro AI ChatBot with ChatGPT and Content Generator by AYS, affecting versions up to 2.6.6. The vulnerability allows an attacker to retrieve embedded sensitive information from data sent by the chatbot, effectively leaking confidential data. The flaw arises from the chatbot's handling of data insertion and transmission processes, where sensitive information is inadvertently included in outgoing data streams. The CVSS v3.1 score of 7.5 reflects a high severity, primarily due to the vulnerability's network attack vector (AV:N), low attack complexity (AC:L), no privileges required (PR:N), and no user interaction needed (UI:N). The impact is limited to confidentiality (C:H), with no integrity or availability effects. This means attackers can remotely extract sensitive data without authentication or user action, posing a significant privacy risk. The vulnerability was publicly disclosed on November 6, 2025, with no known exploits in the wild at the time of publication. The lack of available patches at disclosure heightens the urgency for organizations to implement interim mitigations. The vulnerability affects AI chatbot deployments that integrate ChatGPT and content generation capabilities from AYS, which are increasingly used in customer service, content creation, and internal communication tools. The technical root cause likely involves improper data sanitization or insecure data embedding mechanisms within the chatbot's message processing pipeline, allowing sensitive information to be included in outbound messages accessible to attackers monitoring network traffic or intercepting data flows.

For European organizations, the primary impact of CVE-2025-62039 is the unauthorized disclosure of sensitive information, which can include personal data, intellectual property, or confidential business information processed by the chatbot. This exposure risks violating the EU's General Data Protection Regulation (GDPR), potentially leading to regulatory fines and reputational damage. Organizations relying on the Ays Pro AI ChatBot for customer interactions or internal communications may inadvertently leak sensitive data to attackers capable of intercepting network traffic. The vulnerability's remote exploitation without authentication increases the attack surface, especially for organizations with chatbot services exposed to the internet or accessible via less secure internal networks. Data leakage could facilitate further attacks such as social engineering, identity theft, or corporate espionage. The absence of integrity and availability impacts means the chatbot's functionality remains intact, but the confidentiality breach alone is critical given the sensitive nature of data handled by AI chatbots. The threat is particularly acute for sectors such as finance, healthcare, legal, and government agencies in Europe, where sensitive data protection is paramount.

1. Apply vendor patches immediately once released to address the vulnerability in the Ays Pro AI ChatBot software. 2. Until patches are available, restrict network access to the chatbot service by implementing firewall rules that limit connections to trusted internal IP addresses and VPNs. 3. Conduct a thorough audit of data flows within the chatbot system to identify and remove any embedded sensitive information from outgoing messages. 4. Implement encryption for data in transit using TLS to reduce the risk of interception by unauthorized parties. 5. Monitor network traffic for unusual patterns or unexpected data transmissions that could indicate exploitation attempts. 6. Review and tighten chatbot configuration settings to minimize data exposure, including disabling unnecessary logging or debug features that may leak sensitive data. 7. Educate staff and users about the risks of sensitive data exposure through AI chatbots and establish protocols for reporting suspicious activity. 8. Prepare an incident response plan specifically addressing potential data breaches resulting from this vulnerability, including notification procedures compliant with GDPR. 9. Consider deploying network intrusion detection systems (NIDS) with signatures or heuristics tuned to detect exploitation attempts targeting this vulnerability. 10. Engage with the vendor for timely updates and security advisories related to this vulnerability.