CVE-2025-62116 identifies a missing authorization vulnerability (CWE-862) in the Quadlayers AI Copilot product, affecting versions up to 1.4.7. This vulnerability stems from improperly configured access control mechanisms that fail to enforce security levels correctly, allowing unauthorized users to perform actions that should be restricted. The vulnerability is remotely exploitable without requiring authentication or user interaction, which means an attacker can potentially exploit it over the network without any prior credentials or victim involvement. The CVSS v3.1 base score is 5.3, reflecting a medium severity level, with the vector indicating network attack vector (AV:N), low attack complexity (AC:L), no privileges required (PR:N), no user interaction (UI:N), unchanged scope (S:U), no confidentiality impact (C:N), integrity impact (I:L), and no availability impact (A:N). The primary risk is integrity compromise, where unauthorized modifications or actions could be performed within the AI Copilot environment. No patches or known exploits are currently available, but the vulnerability's presence in AI Copilot—a tool likely integrated into AI-driven workflows—raises concerns about potential misuse or manipulation of AI outputs or configurations. The lack of confidentiality and availability impacts somewhat limits the threat, but integrity issues in AI systems can lead to downstream risks such as incorrect AI decisions or corrupted data processing. The vulnerability was reserved in early October 2025 and published at the end of December 2025, indicating recent discovery and disclosure.

For European organizations, the missing authorization vulnerability in Quadlayers AI Copilot could lead to unauthorized modification of AI configurations, workflows, or outputs, potentially undermining the reliability and trustworthiness of AI-driven processes. This could affect sectors relying heavily on AI automation, such as finance, healthcare, manufacturing, and critical infrastructure, where integrity of AI decisions is paramount. Although confidentiality and availability are not directly impacted, integrity violations can cause erroneous AI behavior, leading to operational disruptions or flawed decision-making. The remote, no-authentication exploitability increases the risk of external attackers targeting exposed AI Copilot instances. Organizations with AI Copilot integrated into critical systems may face reputational damage, regulatory scrutiny under GDPR if AI outputs affect personal data processing, and operational risks. The absence of known exploits provides a window for mitigation, but also means organizations must proactively secure their environments. The impact is more pronounced in environments where AI Copilot controls sensitive or high-stakes AI workflows.

European organizations should immediately conduct a thorough access control audit of their Quadlayers AI Copilot deployments to identify and rectify any misconfigurations. Implement strict role-based access controls (RBAC) ensuring least privilege principles are enforced, and verify that all sensitive operations require proper authorization. Network segmentation should be applied to isolate AI Copilot instances from untrusted networks, reducing exposure to remote exploitation. Employ continuous monitoring and anomaly detection to identify unauthorized or unusual activities within AI Copilot environments. Until an official patch is released, consider applying compensating controls such as restricting access to AI Copilot management interfaces to trusted IP ranges and enforcing multi-factor authentication where possible. Engage with Quadlayers for updates on patch availability and apply them promptly once released. Additionally, review AI workflow outputs for integrity anomalies that could indicate exploitation. Document and test incident response plans specific to AI system compromises. Finally, educate relevant staff on the risks of missing authorization vulnerabilities in AI systems to enhance organizational awareness.