A high-severity vulnerability has been discovered in the CloudLinux ai-bolit malware scanner, which could allow an attacker to execute arbitrary code and take full control of the affected server. The flaw exists within the scanner's file analysis routines, where a specially crafted malicious file can trick the scanner into running embedded commands. Successful exploitation could lead to a complete system compromise, data theft, and further intrusion into the network.

This vulnerability is an eval injection flaw within the malware de-obfuscation routines of the CloudLinux ai-bolit scanner. An attacker can craft a malicious file that, when scanned, is processed by the vulnerable de-obfuscation function. This function improperly uses an eval()-like construct to interpret the file's contents, leading to the execution of code embedded within the malicious file. To exploit this, an attacker only needs to place a crafted file on a system in a location that will be scanned by an affected version of ai-bolit, allowing for remote code execution with the privileges of the scanner process.

This vulnerability is rated as High severity with a CVSS score of 8.8, posing a significant risk to the organization. Successful exploitation grants an attacker Remote Code Execution (RCE) on the server where the scanner is running, which can lead to a complete system compromise. Potential consequences include the exfiltration of sensitive data, deployment of ransomware, service disruption, and the use of the compromised server as a pivot point to attack other internal systems. This could result in severe financial loss, reputational damage, and potential regulatory non-compliance.

Immediate Action: Administrators must update CloudLinux ai-bolit to version 32 or later to patch this vulnerability. Applying the vendor-supplied security update is the most direct and effective method of remediation. In parallel, security teams should actively monitor for signs of exploitation and review historical access, system, and application logs for any suspicious activity related to file uploads or unusual process execution.

Proactive Monitoring: Monitor for unusual child processes spawned by the ai-bolit scanner process. Scrutinize web server and application logs for suspicious file uploads that may be designed to trigger the scanner. Implement network monitoring to detect unexpected outbound connections from servers running ai-bolit, which could indicate communication with an attacker's command-and-control infrastructure.

Compensating Controls: If immediate patching is not feasible, consider the following controls to reduce risk:

• Run the ai-bolit scanner with the lowest possible user privileges to limit the impact of a potential compromise.
• Implement strict network egress filtering to block unauthorized outbound connections from the host.
• Temporarily limit the scope of scans to trusted directories only or disable the scanner on non-critical systems until the patch can be applied.

Public Exploit Available: false

Given the high severity CVSS score of 8.8 and the potential for complete system compromise, this vulnerability poses a critical risk to the organization. We strongly recommend that all systems running affected versions of CloudLinux ai-bolit be patched immediately to version 32 or newer. Although this CVE is not currently listed in the CISA KEV catalog, its critical impact warrants urgent attention. If patching cannot be performed immediately, implement the suggested compensating controls and elevate monitoring to detect any potential exploitation attempts.