CVE-2026-12650 in Neurons for ITSM
Summary
by MITRE • 09/08/2026
A Deserialization of Untrusted Data vulnerability in Ivanti Neurons for ITSM before 2026.2 allows a remote authenticated attacker to execute arbitrary code on the server.
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Analysis
by VulDB Data Team • 09/08/2026
The identified vulnerability represents a critical security flaw within Ivanti Neurons for ITSM, specifically affecting versions released prior to the 2026.2 update cycle. This issue is classified as a Deserialization of Untrusted Data vulnerability, which falls under the broader category of CWE-502 in the Common Weakness Enumeration standard. The core technical deficiency lies in the application's handling of serialized objects received from external sources without adequate validation or integrity checks. When an attacker provides maliciously crafted input that has been serialized into a format compatible with the server-side processing engine, the system proceeds to deserialize this data directly into executable code structures. This process bypasses standard security controls because the deserialization mechanism trusts the structure and content of the incoming payload implicitly, allowing for the instantiation of arbitrary classes defined within the application's classpath or available libraries.
From an operational perspective, this vulnerability is particularly severe due to its remote nature combined with a relatively low barrier to entry regarding authentication. While the attacker must be authenticated, meaning they possess valid credentials or have compromised user accounts, the ability to execute arbitrary code remotely transforms what might otherwise be a data exposure issue into a complete system compromise. Once the malicious deserialization occurs, the server executes commands within the context of the application process. This typically grants the attacker full control over the underlying operating system, enabling them to install backdoors, exfiltrate sensitive IT service management data, pivot to other systems on the network, or disrupt critical business operations by modifying configurations and deleting essential files. The impact extends beyond immediate code execution, as it undermines the confidentiality, integrity, and availability of the entire Ivanti Neurons infrastructure.
This vulnerability aligns with several tactics in the MITRE ATT&CK framework, most notably Execution via T1059 (Command and Scripting Interpreter) and potentially Defense Evasion if techniques are used to hide malicious artifacts during the deserialization process. The attack vector leverages the trust relationship inherent in authenticated sessions, exploiting the assumption that data from logged-in users is safe for immediate processing. This highlights a common architectural weakness where input validation is applied at the presentation layer but neglected or insufficiently enforced at the serialization and business logic layers. Attackers can craft payloads using known gadget chains associated with popular Java libraries such as Apache Commons Collections or Spring Framework, which are frequently included in enterprise ITSM applications to facilitate complex object manipulation features.
Mitigation strategies must prioritize immediate patching by upgrading Ivanti Neurons for ITSM to version 2026.2 or later, where the deserialization logic has been hardened with strict allow-lists and type checking mechanisms that prevent the instantiation of dangerous classes. In environments where immediate patching is not feasible due to operational constraints, network-level controls should be implemented to restrict access to the affected endpoints strictly to authorized IP ranges using firewalls or web application firewalls configured to detect anomalous serialization patterns. Additionally, implementing strict input validation and sanitization routines for all data inputs that interact with deserialization APIs can reduce the attack surface. Security teams should also monitor server logs for unusual spikes in memory usage or unexpected class loading events, which may indicate an attempted exploitation of this vulnerability. Regular audits of third-party dependencies used within the application are essential to ensure that known vulnerable libraries are updated or removed from the production environment entirely.