CVE-2025-64277: Missing Authorization in QuantumCloud ChatBot
Missing Authorization vulnerability in QuantumCloud ChatBot chatbot allows Exploiting Incorrectly Configured Access Control Security Levels.This issue affects ChatBot: from n/a through <= 7.3.9.
AI Analysis
Technical Summary
CVE-2025-64277 identifies a missing authorization vulnerability in QuantumCloud ChatBot versions up to 7.3.9. The root cause is an incorrectly configured access control mechanism that fails to enforce proper authorization checks on certain chatbot functions. This allows an unauthenticated remote attacker to invoke privileged operations or modify chatbot behavior without proper permissions, thus compromising the integrity of the system. The vulnerability does not expose confidential data nor does it impact system availability directly. The CVSS 3.1 base score is 5.3 (medium), reflecting the network attack vector, low attack complexity, no privileges required, no user interaction, and limited impact confined to integrity. No known exploits have been reported in the wild, and no official patches have been released as of the publication date. The vulnerability affects all versions up to 7.3.9, though the exact earliest affected version is unspecified. The issue stems from missing or misconfigured authorization logic in the chatbot's access control layers, potentially allowing unauthorized commands or data manipulation. Organizations using QuantumCloud ChatBot should evaluate their exposure, especially if the chatbot is accessible over public or untrusted networks.
Potential Impact
For European organizations, this vulnerability could lead to unauthorized manipulation of chatbot responses or commands, potentially misleading users or disrupting automated workflows. While confidentiality and availability are not directly impacted, integrity breaches can cause reputational damage, misinformation, or operational errors, especially in sectors relying heavily on chatbot automation such as finance, healthcare, and customer service. Attackers could exploit this flaw to inject malicious instructions or alter chatbot behavior, which might facilitate social engineering or fraud. The lack of authentication requirement and network accessibility increases the risk of exploitation. Organizations with chatbots exposed to the internet or integrated into critical business processes are particularly vulnerable. The medium severity rating suggests a moderate risk, but the actual impact depends on the chatbot’s role and the sensitivity of the data or actions it controls.
Mitigation Recommendations
Until an official patch is released, European organizations should implement network-level access controls to restrict chatbot access to trusted internal networks or VPNs. Employ web application firewalls (WAFs) to detect and block suspicious requests targeting the chatbot interface. Conduct thorough logging and monitoring of chatbot interactions to identify anomalous or unauthorized activities promptly. Review and tighten chatbot configuration settings to enforce stricter access controls where possible. Engage with QuantumCloud support to obtain guidance or early patches. Additionally, consider isolating the chatbot environment to limit potential lateral movement in case of compromise. Educate staff about the risks of manipulated chatbot responses and establish incident response procedures tailored to chatbot-related incidents. Once patches become available, prioritize their deployment in all affected environments.
Affected Countries
Germany, France, United Kingdom, Netherlands, Italy, Spain, Sweden, Belgium
CVE-2025-64277: Missing Authorization in QuantumCloud ChatBot
Description
Missing Authorization vulnerability in QuantumCloud ChatBot chatbot allows Exploiting Incorrectly Configured Access Control Security Levels.This issue affects ChatBot: from n/a through <= 7.3.9.
AI-Powered Analysis
Technical Analysis
CVE-2025-64277 identifies a missing authorization vulnerability in QuantumCloud ChatBot versions up to 7.3.9. The root cause is an incorrectly configured access control mechanism that fails to enforce proper authorization checks on certain chatbot functions. This allows an unauthenticated remote attacker to invoke privileged operations or modify chatbot behavior without proper permissions, thus compromising the integrity of the system. The vulnerability does not expose confidential data nor does it impact system availability directly. The CVSS 3.1 base score is 5.3 (medium), reflecting the network attack vector, low attack complexity, no privileges required, no user interaction, and limited impact confined to integrity. No known exploits have been reported in the wild, and no official patches have been released as of the publication date. The vulnerability affects all versions up to 7.3.9, though the exact earliest affected version is unspecified. The issue stems from missing or misconfigured authorization logic in the chatbot's access control layers, potentially allowing unauthorized commands or data manipulation. Organizations using QuantumCloud ChatBot should evaluate their exposure, especially if the chatbot is accessible over public or untrusted networks.
Potential Impact
For European organizations, this vulnerability could lead to unauthorized manipulation of chatbot responses or commands, potentially misleading users or disrupting automated workflows. While confidentiality and availability are not directly impacted, integrity breaches can cause reputational damage, misinformation, or operational errors, especially in sectors relying heavily on chatbot automation such as finance, healthcare, and customer service. Attackers could exploit this flaw to inject malicious instructions or alter chatbot behavior, which might facilitate social engineering or fraud. The lack of authentication requirement and network accessibility increases the risk of exploitation. Organizations with chatbots exposed to the internet or integrated into critical business processes are particularly vulnerable. The medium severity rating suggests a moderate risk, but the actual impact depends on the chatbot’s role and the sensitivity of the data or actions it controls.
Mitigation Recommendations
Until an official patch is released, European organizations should implement network-level access controls to restrict chatbot access to trusted internal networks or VPNs. Employ web application firewalls (WAFs) to detect and block suspicious requests targeting the chatbot interface. Conduct thorough logging and monitoring of chatbot interactions to identify anomalous or unauthorized activities promptly. Review and tighten chatbot configuration settings to enforce stricter access controls where possible. Engage with QuantumCloud support to obtain guidance or early patches. Additionally, consider isolating the chatbot environment to limit potential lateral movement in case of compromise. Educate staff about the risks of manipulated chatbot responses and establish incident response procedures tailored to chatbot-related incidents. Once patches become available, prioritize their deployment in all affected environments.
Affected Countries
Technical Details
- Data Version
- 5.2
- Assigner Short Name
- Patchstack
- Date Reserved
- 2025-10-29T03:08:27.752Z
- Cvss Version
- null
- State
- PUBLISHED
Threat ID: 6915aa34dac9b42fc37a58e0
Added to database: 11/13/2025, 9:51:48 AM
Last enriched: 1/20/2026, 11:57:48 PM
Last updated: 2/7/2026, 9:31:39 PM
Views: 31
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