CVE-2025-49893 is a security vulnerability classified as CWE-79, which pertains to Improper Neutralization of Input During Web Page Generation, commonly known as Cross-site Scripting (XSS). This specific vulnerability affects the liseperu Elizaibots product, versions up to and including 1.0.2. The vulnerability is a Stored XSS flaw, meaning that malicious input submitted by an attacker is stored by the application and later rendered in web pages without proper sanitization or encoding. This allows an attacker to inject malicious scripts that execute in the context of other users' browsers when they view the affected pages. The CVSS v3.1 base score is 6.5, indicating a medium severity level. The vector string (CVSS:3.1/AV:N/AC:L/PR:L/UI:R/S:C/C:L/I:L/A:L) reveals that the attack can be performed remotely over the network (AV:N) with low attack complexity (AC:L), but requires the attacker to have some privileges (PR:L) and user interaction (UI:R). The scope is changed (S:C), meaning the vulnerability affects resources beyond the initially vulnerable component. The impact on confidentiality, integrity, and availability is low to moderate (C:L/I:L/A:L). No known exploits are currently reported in the wild, and no patches have been linked yet. The vulnerability was reserved in June 2025 and published in August 2025. Stored XSS vulnerabilities can lead to session hijacking, defacement, phishing, or distribution of malware, depending on the context of the vulnerable application and the privileges of the victim users. Since Elizaibots is presumably a chatbot or AI assistant product, exploitation could allow attackers to manipulate bot responses or steal user data through injected scripts.

For European organizations using liseperu Elizaibots, this vulnerability poses a risk of client-side attacks that can compromise user sessions, steal sensitive information, or manipulate the chatbot interface to mislead users. The impact is particularly significant if the bot is integrated into customer-facing platforms or internal tools handling sensitive data. Attackers with low privileges could escalate their influence by injecting persistent malicious scripts, potentially affecting multiple users. This could lead to reputational damage, regulatory non-compliance (e.g., GDPR violations if personal data is exposed), and operational disruptions. Since the vulnerability requires some level of privilege and user interaction, the risk is somewhat mitigated but still notable, especially in environments where users may be less security-aware. The changed scope indicates that the impact could extend beyond the immediate application, possibly affecting other connected systems or services. Given the lack of patches, organizations must act promptly to assess exposure and implement mitigations.

1. Immediate mitigation should include implementing strict input validation and output encoding on all user-supplied data rendered by Elizaibots, especially in chat logs, user profiles, or any web interface components. 2. Employ Content Security Policy (CSP) headers to restrict the execution of unauthorized scripts and reduce the impact of potential XSS payloads. 3. Limit user privileges within the Elizaibots environment to the minimum necessary to reduce the risk posed by low-privilege attackers. 4. Monitor logs and user activity for unusual behavior indicative of XSS exploitation attempts. 5. If possible, isolate the Elizaibots deployment from critical systems to contain potential breaches. 6. Educate users about the risks of interacting with unexpected or suspicious chatbot responses. 7. Engage with the vendor (liseperu) for updates or patches and apply them promptly once available. 8. Consider deploying Web Application Firewalls (WAFs) with rules tailored to detect and block XSS payloads targeting Elizaibots. 9. Conduct security testing focused on XSS vectors in the Elizaibots environment to identify and remediate additional weaknesses.