CVE-2025-5321 is a medium-severity vulnerability identified in the aimhubio aim software, specifically affecting versions up to 3.29.1. The vulnerability exists in the function RestrictedPythonQuery within the /aim/storage/query.py file, part of the run_view Object Handler component. The issue arises from improper handling of the argument 'Abfrage', which can be manipulated by an attacker to escalate privileges ('erweiterte Rechte' translates to 'extended rights'). This flaw allows an attacker to remotely initiate the exploit without requiring user interaction or prior authentication, leveraging the network accessibility of the affected service. The vulnerability is classified with a CVSS 4.0 base score of 5.3, indicating a medium impact level. The vector details show that the attack vector is network-based (AV:N), with low attack complexity (AC:L), no privileges required (PR:L - low privileges), and no user interaction (UI:N). The impact on confidentiality, integrity, and availability is low, but the vulnerability does allow some privilege escalation. The vendor was notified early but has not responded, and no patches or mitigations have been published yet. No known exploits are currently observed in the wild, but public disclosure increases the risk of exploitation attempts. The vulnerability's root cause is a sandbox bypass or insufficient sandboxing in the RestrictedPythonQuery function, which is likely intended to restrict execution of Python code or queries within a controlled environment. Improper validation or sanitization of the 'Abfrage' parameter allows attackers to break out of these restrictions and gain elevated rights within the application context.

For European organizations using aimhubio aim versions 3.29.0 or 3.29.1, this vulnerability poses a risk of unauthorized privilege escalation, potentially allowing attackers to execute unauthorized commands or access sensitive data within the application. Given the remote exploitability without authentication or user interaction, attackers could leverage this flaw to compromise systems remotely, leading to data breaches, disruption of services, or lateral movement within internal networks. The medium severity score reflects limited but non-negligible impact on confidentiality, integrity, and availability. Organizations relying on aimhubio aim for critical business functions or handling sensitive data may face operational risks and compliance issues, especially under GDPR regulations if personal data is involved. The lack of vendor response and absence of patches increases the urgency for organizations to implement compensating controls. Although no active exploits are reported, the public disclosure means threat actors may develop exploits, increasing the likelihood of attacks in the near future.

1. Immediate mitigation should include restricting network access to the aimhubio aim service to trusted IP addresses and internal networks only, minimizing exposure to potential attackers. 2. Implement strict input validation and sanitization at the application or proxy level to detect and block malicious payloads targeting the 'Abfrage' parameter. 3. Deploy runtime application self-protection (RASP) or web application firewalls (WAF) with custom rules to monitor and block suspicious query executions related to RestrictedPythonQuery. 4. Conduct thorough code reviews and sandbox environment audits to identify and patch the sandbox bypass vulnerability internally if possible, especially if source code access is available. 5. Monitor logs and network traffic for unusual activity or repeated attempts to exploit this vulnerability. 6. Engage with aimhubio or community forums to track any forthcoming patches or updates. 7. Prepare incident response plans specific to this vulnerability, including isolating affected systems if compromise is suspected. 8. Consider upgrading to a later version if and when a patched release becomes available.