CVE-2025-3622 in Inference
Summary
by MITRE • 04/15/2025
A vulnerability, which was classified as critical, has been found in Xorbits Inference up to 1.4.1. This issue affects the function load of the file xinference/thirdparty/cosyvoice/cli/model.py. The manipulation leads to deserialization.
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Analysis
by VulDB Data Team • 04/21/2025
The vulnerability identified as CVE-2025-3622 represents a critical security flaw in Xorbits Inference version 1.4.1 and earlier, specifically within the load function of the file xinference/thirdparty/cosyvoice/cli/model.py. This deserialization vulnerability arises from improper handling of serialized data structures during the model loading process, creating a significant attack surface that could be exploited by malicious actors to execute arbitrary code on affected systems. The flaw demonstrates a fundamental weakness in input validation and data processing mechanisms that directly impacts the software's security posture.
The technical nature of this vulnerability stems from the insecure deserialization of untrusted data within the model loading functionality. When the load function processes serialized objects from external sources or local storage, it fails to properly validate or sanitize the incoming data before attempting to deserialize it. This creates an opportunity for attackers to craft malicious serialized payloads that, when processed by the vulnerable function, can trigger unintended code execution. The vulnerability aligns with CWE-502, which specifically addresses deserialization of untrusted data as a critical security weakness that can lead to remote code execution and system compromise.
The operational impact of this vulnerability extends beyond simple code execution, as it can enable attackers to gain full control over affected systems running vulnerable versions of Xorbits Inference. Attackers could potentially leverage this flaw to establish persistent access, exfiltrate sensitive data, or deploy additional malicious payloads within the system. The critical classification indicates that the vulnerability can be exploited remotely without requiring authentication, making it particularly dangerous for environments where the software is exposed to untrusted networks or users. This aligns with ATT&CK technique T1203, which covers exploitation of remote services through deserialization vulnerabilities.
Organizations utilizing Xorbits Inference should prioritize immediate remediation by upgrading to version 1.4.2 or later, which contains the necessary patches to address this deserialization vulnerability. Additionally, implementing network segmentation and access controls around systems running this software can help limit potential attack vectors. Security teams should conduct thorough vulnerability assessments of their environments to identify any systems that may be running vulnerable versions, while also monitoring for suspicious activities that could indicate exploitation attempts. The remediation process should include validating the integrity of model files and implementing proper input validation mechanisms to prevent similar issues from occurring in other components of the software stack.