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Hardware-Aware AutoML CVE-2026-34175

| EUVDEUVD-2026-56531 MEDIUM
Uncontrolled Search Path Element (CWE-427)
2026-08-11 intel GHSA-r6qv-xgx8-q8fx
5.4
CVSS 4.0 · Vendor: intel
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Severity by source

Vendor (intel) PRIMARY
5.4 MEDIUM
CVSS:4.0/AV:L/AC:L/AT:P/PR:H/UI:P/VC:H/VI:H/VA:H/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
7.3 HIGH

Attacker is described as unprivileged (PR:L), local access required (AV:L), privileged-user execution needed (UI:R); no scope change, full CIA impact on vulnerable system.

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

Primary rating from Vendor (intel).

CVSS VectorVendor: intel

Attack Vector
Local
Attack Complexity
Low
Privileges Required
High
User Interaction
P
Scope
X

Lifecycle Timeline

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

DescriptionCVE.org

Uncontrolled search path for some Hardware-Aware-Automated-MachineLearning NA before version 45cd723 within Ring 3: User Applications may allow an escalation of privilege. 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. The potential vulnerability may impact the confidentiality (high), integrity (high) and availability (high) of the vulnerable system, resulting in subsequent system confidentiality (none), integrity (none) and availability (none) impacts.

AnalysisAI

Privilege escalation in Intel's Hardware-Aware-Automated-MachineLearning (NA) software before commit 45cd723 stems from an uncontrolled search path element (CWE-427) in its Ring 3 user-space application layer. An unprivileged local attacker who can write to a directory within the application's library or executable search path can plant a malicious artifact; when a high-privileged user subsequently runs the AutoML tool, the application loads the attacker-controlled file and executes code at the elevated privilege level. No public exploit code has been identified at time of analysis and the vulnerability is not listed in the CISA KEV catalog, though the CVSS 4.0 score of 5.4 (Medium) reflects the attack requirements and required user interaction that constrain real-world exploitation.

Technical ContextAI

CWE-427 (Uncontrolled Search Path Element) describes a class of vulnerabilities where an application resolves the location of a required library, plugin, or executable by traversing a sequence of directories that can be influenced by a less-trusted principal - typically through environment variables such as PATH, LD_LIBRARY_PATH, or PYTHONPATH, or through writable directories appearing earlier in the search order than the legitimate file location. The affected product, identified by CPE cpe:2.3:a:n/a:hardware-aware-automated-machinelearning_na, is an Intel-developed AutoML framework targeting hardware-aware neural architecture search (NAS) workflows. Operating entirely in Ring 3 (user-space), the software has no kernel-mode component, meaning privilege escalation is achieved by inheriting the execution context of a high-privileged user who launches the application rather than by exploiting a kernel boundary. The CVSS 4.0 vector AV:L/AC:L/AT:P/PR:H/UI:P confirms local access is required, attack requirements (AT:P) must be satisfied (writable path position ahead of the legitimate binary), and passive interaction from a privileged user is necessary.

RemediationAI

The upstream fix is available as commit 45cd723 in the Hardware-Aware-Automated-MachineLearning NA repository; however, a formally tagged release version corresponding to this commit has not been independently confirmed from the available data - consult the Intel security advisory INTEL-SA-01485 at https://intel.com/content/www/us/en/security-center/advisory/intel-sa-01485.html for an authoritative patch version and download location. As an interim compensating control, restrict write permissions on all directories included in the search paths (PATH, LD_LIBRARY_PATH, PYTHONPATH, or equivalent) used by the AutoML application to prevent unprivileged users from inserting files; note that overly restrictive path permissions may break dependent toolchains in development environments and should be tested before broad rollout. Additionally, run the AutoML software under a dedicated low-privilege service account rather than as an administrator or root user, which limits the impact of a successful search-path hijack to that account's privilege level rather than full system compromise. Where feasible, use absolute paths for all library and binary references in launch scripts and configuration files to eliminate reliance on the search path entirely.

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CVE-2026-34175 vulnerability details – vuln.today

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