Critical Flaw in Ivanti Neurons Patch for Intune Exposes Authentication Data
A CVSS 9.9 vulnerability in Ivanti Neurons Patch for Intune allows remote attackers to leak sensitive authentication credentials through an exposed endpoint.

Key points
- The vulnerability is tracked as CVE-2026-109412 and rated Critical with a CVSS score of 9.9.
- It affects Ivanti Neurons Patch for Intune, allowing remote authenticated attackers to access sensitive data.
- The flaw is categorized under CWE-749, indicating the use of an exposed dangerous function or method.
Ivanti Neurons Patch for Intune contains a critical security vulnerability that allows remote attackers to leak sensitive authentication information. The flaw is tracked as CVE-2026-109412 and has been assigned a CVSS score of 9.9, marking it as a critical risk to organizations using the platform.
At a glance
- CVE
- CVE-2026-109412
- Product
- Ivanti Neurons Patch for Intune
- CVSS
- 9.9 Critical
- Weakness
- CWE-749
- Exploited
- No known exploitation
The vulnerability stems from an exposed dangerous endpoint within the Ivanti Neurons Patch for Intune software. According to the National Vulnerability Database record, this exposure enables a remote authenticated attacker to access sensitive authentication data. The weakness is classified under CWE-749, which relates to the use of exposed dangerous functions or methods.
Technical Details and Severity
The Common Vulnerabilities and Exposures identifier for this issue is CVE-2026-109412. The National Vulnerability Database lists the base severity as Critical, with a CVSS score of 9.9. This high score indicates that the flaw poses a significant risk to the confidentiality of authentication credentials.
The underlying weakness is categorized as CWE-749. This classification points to the use of an exposed dangerous function or method in the application code. In this specific case, the dangerous function is an endpoint that remains accessible to authenticated remote users. That suggests the application fails to properly restrict access to sensitive data transmission points.
Who Is Affected
The vulnerability specifically affects users of Ivanti Neurons Patch for Intune. This is a product within the Ivanti portfolio designed for patch management integration with Microsoft Intune. Any organization deploying this specific component is potentially exposed to the risk of credential leakage.
The attack vector is remote, meaning an attacker does not need physical access to the target system. However, the attacker must be authenticated to exploit the flaw. This requirement implies that an adversary must first obtain valid credentials or session tokens to access the vulnerable endpoint.
What should you do?
No patch or update has been confirmed for this vulnerability yet. Organizations using Ivanti Neurons Patch for Intune should monitor official channels for security advisories. Until a fix is released, administrators should review access logs for unusual activity related to authentication endpoints.
What to do and how to stay safe: Ivanti
- Verify if your environment includes Ivanti Neurons Patch for Intune to determine exposure to CVE-2026-109412.
- Monitor authentication logs for unexpected access patterns that may indicate exploitation of the exposed endpoint.
- Restrict network access to the vulnerable endpoint to known IP ranges if possible, reducing the attack surface.
- Wait for an official security update from Ivanti before applying any unverified workarounds that might disrupt operations.
Step-by-step guide: Risk-Based Vulnerability Management: Prioritize Fixes by Actual Danger
General security guidance from the Threat Times newsroom. It is not confirmed advice from the organisations named in this story.
Frequently asked questions
What is the CVE ID for the Ivanti Neurons Patch for Intune vulnerability?
The vulnerability is tracked as CVE-2026-109412.
How severe is the Ivanti Neurons Patch for Intune flaw?
It is rated Critical with a CVSS score of 9.9.
What type of data is at risk in this vulnerability?
Sensitive authentication information is at risk of being leaked by a remote authenticated attacker.


