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Intel Extension PyTorch EUVDEUVD-2026-56532

| CVE-2026-35502 MEDIUM
Deserialization of Untrusted Data (CWE-502)
2026-08-11 intel GHSA-cvq9-6957-pm6w
4.6
CVSS 4.0 · Vendor: intel
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Severity by source

Vendor (intel) PRIMARY
4.6 MEDIUM
CVSS:4.0/AV:L/AC:L/AT:N/PR:N/UI:A/VC:L/VI:L/VA:L/SC:N/SI:N/SA:N/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X
vuln.today AI
5.3 MEDIUM

Local vector and required user interaction confirmed by description; unprivileged attacker consistent with CVSS 4.0 PR:N; low C/I/A matches stated bounded impact with unchanged scope.

3.1 AV:L/AC:L/PR:N/UI:R/S:U/C:L/I:L/A:L
4.0 AV:L/AC:L/AT:N/PR:N/UI:A/VC:L/VI:L/VA:L/SC:N/SI:N/SA:N

Primary rating from Vendor (intel).

CVSS VectorVendor: intel

Attack Vector
Local
Attack Complexity
Low
Privileges Required
None
User Interaction
A
Scope
X

Lifecycle Timeline

1
Analysis Generated
Aug 11, 2026 - 21:36 vuln.today

DescriptionCVE.org

Deserialization of untrusted data for some Intel(R) Extension for PyTorch before version 2.8.0 within Ring 3: User Applications may allow an escalation of privilege. Unprivileged software adversary with an unauthenticated user combined with a low complexity attack may enable escalation of privilege. This result may potentially occur via local access when attack requirements are not present without special internal knowledge and requires active user interaction. The potential vulnerability may impact the confidentiality (low), integrity (low) and availability (low) of the vulnerable system, resulting in subsequent system confidentiality (none), integrity (none) and availability (none) impacts.

AnalysisAI

Deserialization of untrusted data in Intel Extension for PyTorch (IPEX) versions before 2.8.0 enables local privilege escalation when a victim user opens a maliciously crafted serialized artifact within an IPEX-dependent application. The vulnerability operates at Ring 3 (user-space) and yields low confidentiality, integrity, and availability impact with no subsequent system-level compromise. No public exploit code and no CISA KEV listing have been identified at time of analysis.

Technical ContextAI

CWE-502 (Deserialization of Untrusted Data) is the root cause. Intel Extension for PyTorch (IPEX) is a Python library that extends PyTorch with Intel hardware optimizations and is commonly used in ML inference and training pipelines. PyTorch's serialization format relies on Python's pickle mechanism, which can execute arbitrary code during deserialization if the input originates from an untrusted source. The flaw is scoped to Ring 3 (user-application space) per the description, meaning exploitation does not directly interact with kernel or hardware rings. CPE cpe:2.3:a:n/a:intel(r)_extension_for_pytorch covers all versions prior to 2.8.0 across unspecified platforms. The privilege escalation pathway is consistent with deserialization gadget chains that execute attacker-controlled callables at the privilege level of the loading process.

RemediationAI

Upgrade Intel Extension for PyTorch to version 2.8.0 or later, which resolves the deserialization vulnerability per Intel Security Advisory INTEL-SA-01497, available at https://intel.com/content/www/us/en/security-center/advisory/intel-sa-01497.html. If an immediate upgrade is not feasible, restrict IPEX applications to loading serialized model files only from verified, integrity-checked sources - for example, by enforcing cryptographic signing of model checkpoints and blocking ingestion of externally sourced or user-supplied serialized artifacts. Implementing allowlists on file paths accessible to IPEX model-loading code can further reduce attack surface. Note that these workarounds require application-level policy enforcement, impose operational overhead, and do not eliminate the underlying flaw.

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EUVD-2026-56532 vulnerability details – vuln.today

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