PatchSiren cyber security CVE debrief
CVE-2026-21387 Intel CVE debrief
CVE-2026-21387 debrief: The Intel(R) LLM Library for PyTorch vulnerability allows escalation of privilege, potentially impacting system confidentiality, integrity, and availability. This medium-severity vulnerability, with a CVSS score of 5.4, may be exploited by an unprivileged adversary with a privileged user, requiring low complexity and passive user interaction. System administrators, security teams, and developers should assess exposure and prioritize patching to prevent potential escalation of privilege.
- Vendor
- Intel
- Product
- Intel(R) LLM Library for PyTorch
- CVSS
- MEDIUM 5.4
- CISA KEV
- Not listed in stored evidence
- Original CVE published
- 2026-08-11
- Original CVE updated
- 2026-11-02
- Advisory published
- 2026-08-11
- Advisory updated
- 2026-11-02
Who should care
System administrators, security teams, and developers using Intel(R) LLM Library for PyTorch should assess exposure and prioritize patching to prevent potential escalation of privilege.
Why it matters
CVE-2026-21387 is a medium-severity vulnerability in Intel(R) LLM Library for PyTorch that may allow escalation of privilege. System administrators, security teams, and developers should assess exposure, prioritize patching, and monitor for suspicious activity.
- Potential escalation of privilege requires verification
- Need to assess exposure in environment
- Patching prioritization to prevent exploitation
- Monitoring for suspicious activity
Technical summary
The Intel(R) LLM Library for PyTorch vulnerability (CVE-2026-21387) is a protection mechanism failure that may allow an escalation of privilege. The vulnerability has a CVSS score of 5.4 and is considered medium severity. The potential vulnerability may impact the confidentiality (high), integrity (high) and availability (high) of the vulnerable system. Unprivileged software adversary with a privileged user combined with a low complexity attack may enable escalation of privilege. This result may potentially occur via local access when attack requirements are present without special internal knowledge and requires passive user interaction.
Defensive priority
Assess exposure, prioritize patching
Recommended defensive actions
- Assess exposure of Intel(R) LLM Library for PyTorch in your environment
- Prioritize patching to prevent potential escalation of privilege
- Verify system integrity and monitor for suspicious activity
- Review compensating controls for exposed systems while remediation is scheduled and verified
- Check relevant monitoring, detection, and logs for exposed assets that need extra review
- Track exceptions, retest remediated assets, and close the item only after evidence is documented
- Confirm whether affected product deployments exist in managed environments and assign an owner for follow-up
Evidence notes
The CVE record and NVD entry provide details on the vulnerability. Vendor advisory from Intel is available. The vulnerability has a CVSS score of 5.4 and is considered medium severity. The potential vulnerability may impact the confidentiality (high), integrity (high) and availability (high) of the vulnerable system. The CVE record was published on 2026-08-11T17:17:55.413Z and has not been modified since then.
Sources and references
Verified primary and authoritative sources
-
CVE-2026-21387 CVE Program record
Publisher, destination, and source semantics verified
URL: https://www.cve.org/CVERecord?id=CVE-2026-21387
CVE Program - Official CVE Program record with source-provided CVE metadata.
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CVE-2026-21387 NVD vulnerability detail
Publisher, destination, and source semantics verified
URL: https://nvd.nist.gov/vuln/detail/CVE-2026-21387
NIST National Vulnerability Database - Official NIST NVD detail page and source-specific vulnerability assessment.
Supplemental references
-
Source reference
Unverified legacy reference
URL: https://intel.com/content/www/us/en/security-center/advisory/intel-sa-01465.html
[email protected] - Vendor Advisory
Methodology and review provenance
AI-assisted synthesis based on stored public vulnerability evidence. System validation, approval state, and publication status do not by themselves establish human review of this revision. PatchSiren helps prioritize defensive review and does not prove exposure or remediation on any system.