The SentinelOne Annual Threat Report - A Defenders Guide from the FrontlinesThe SentinelOne Annual Threat ReportGet the Report
Experiencing a Breach?Blog
Get StartedContact Us
SentinelOne
  • Platform
    Platform Overview
    • Singularity Platform
      Welcome to Integrated Enterprise Security
    • AI for Security
      Leading the Way in AI-Powered Security Solutions
    • Securing AI
      Accelerate AI Adoption with Secure AI Tools, Apps, and Agents.
    • How It Works
      The Singularity XDR Difference
    • Singularity Marketplace
      One-Click Integrations to Unlock the Power of XDR
    • Pricing & Packaging
      Comparisons and Guidance at a Glance
    Data & AI
    • Purple AI
      Accelerate SecOps with Generative AI
    • Singularity Hyperautomation
      Easily Automate Security Processes
    • AI-SIEM
      The AI SIEM for the Autonomous SOC
    • Singularity Data Lake
      AI-Powered, Unified Data Lake
    • Singularity Data Lake for Log Analytics
      Seamlessly Ingest Data from On-Prem, Cloud or Hybrid Environments
    Endpoint Security
    • Singularity Endpoint
      Autonomous Prevention, Detection, and Response
    • Singularity XDR
      Native & Open Protection, Detection, and Response
    • Singularity RemoteOps Forensics
      Orchestrate Forensics at Scale
    • Singularity Threat Intelligence
      Comprehensive Adversary Intelligence
    • Singularity Vulnerability Management
      Application & OS Vulnerability Management
    • Singularity Identity
      Identity Threat Detection and Response
    Cloud Security
    • Singularity Cloud Security
      Block Attacks with an AI-Powered CNAPP
    • Singularity Cloud Native Security
      Secure Cloud and Development Resources
    • Singularity Cloud Workload Security
      Real-Time Cloud Workload Protection Platform
    • Singularity Cloud Data Security
      AI-Powered Threat Detection for Cloud Storage
    • Singularity Cloud Security Posture Management
      Detect and Remediate Cloud Misconfigurations
    Securing AI
    • Prompt Security
      Secure AI Tools Across Your Enterprise
  • Why SentinelOne?
    Why SentinelOne?
    • Why SentinelOne?
      Cybersecurity Built for What’s Next
    • Our Customers
      Trusted by the World’s Leading Enterprises
    • Industry Recognition
      Tested and Proven by the Experts
    • About Us
      The Industry Leader in Autonomous Cybersecurity
    Compare SentinelOne
    • Arctic Wolf
    • Broadcom
    • CrowdStrike
    • Cybereason
    • Microsoft
    • Palo Alto Networks
    • Sophos
    • Splunk
    • Trellix
    • Trend Micro
    • Wiz
    Verticals
    • Energy
    • Federal Government
    • Finance
    • Healthcare
    • Higher Education
    • K-12 Education
    • Manufacturing
    • Retail
    • State and Local Government
  • Services
    Managed Services
    • Managed Services Overview
      Wayfinder Threat Detection & Response
    • Threat Hunting
      World-Class Expertise and Threat Intelligence
    • Managed Detection & Response
      24/7/365 Expert MDR Across Your Entire Environment
    • Incident Readiness & Response
      DFIR, Breach Readiness, & Compromise Assessments
    Support, Deployment, & Health
    • Technical Account Management
      Customer Success with Personalized Service
    • SentinelOne GO
      Guided Onboarding & Deployment Advisory
    • SentinelOne University
      Live and On-Demand Training
    • Services Overview
      Comprehensive Solutions for Seamless Security Operations
    • SentinelOne Community
      Community Login
  • Partners
    Our Network
    • MSSP Partners
      Succeed Faster with SentinelOne
    • Singularity Marketplace
      Extend the Power of S1 Technology
    • Cyber Risk Partners
      Enlist Pro Response and Advisory Teams
    • Technology Alliances
      Integrated, Enterprise-Scale Solutions
    • SentinelOne for AWS
      Hosted in AWS Regions Around the World
    • Channel Partners
      Deliver the Right Solutions, Together
    • SentinelOne for Google Cloud
      Unified, Autonomous Security Giving Defenders the Advantage at Global Scale
    • Partner Locator
      Your Go-to Source for Our Top Partners in Your Region
    Partner Portal→
  • Resources
    Resource Center
    • Case Studies
    • Data Sheets
    • eBooks
    • Reports
    • Videos
    • Webinars
    • Whitepapers
    • Events
    View All Resources→
    Blog
    • Feature Spotlight
    • For CISO/CIO
    • From the Front Lines
    • Identity
    • Cloud
    • macOS
    • SentinelOne Blog
    Blog→
    Tech Resources
    • SentinelLABS
    • Ransomware Anthology
    • Cybersecurity 101
  • About
    About SentinelOne
    • About SentinelOne
      The Industry Leader in Cybersecurity
    • Investor Relations
      Financial Information & Events
    • SentinelLABS
      Threat Research for the Modern Threat Hunter
    • Careers
      The Latest Job Opportunities
    • Press & News
      Company Announcements
    • Cybersecurity Blog
      The Latest Cybersecurity Threats, News, & More
    • FAQ
      Get Answers to Our Most Frequently Asked Questions
    • DataSet
      The Live Data Platform
    • S Foundation
      Securing a Safer Future for All
    • S Ventures
      Investing in the Next Generation of Security, Data and AI
  • Pricing
Get StartedContact Us
CVE Vulnerability Database
Vulnerability Database/CVE-2023-38575

CVE-2023-38575: Intel Processor Information Disclosure

CVE-2023-38575 is an information disclosure vulnerability in Intel Processors caused by non-transparent sharing of return predictor targets. This article covers the technical details, affected systems, and mitigation strategies.

Published: January 28, 2026

CVE-2023-38575 Overview

CVE-2023-38575 is a side channel vulnerability affecting Intel processors related to non-transparent sharing of return predictor targets between contexts. This hardware-level vulnerability may allow an authorized user with local access to potentially enable information disclosure by exploiting the shared return predictor state across different execution contexts.

Critical Impact

Local attackers with authorized access can exploit CPU return predictor behavior to extract sensitive information across security boundaries, potentially leaking confidential data from privileged execution contexts.

Affected Products

  • Intel Processors (various models as specified in Intel Security Advisory SA-00982)
  • Systems running affected Debian LTS releases
  • NetApp products utilizing affected Intel processors

Discovery Timeline

  • 2024-03-14 - CVE-2023-38575 published to NVD
  • 2024-11-21 - Last updated in NVD database

Technical Details for CVE-2023-38575

Vulnerability Analysis

This vulnerability stems from a weakness classified as CWE-1303 (Non-Transparent Sharing of Microarchitectural Resources), where the return predictor targets in affected Intel processors are shared between different execution contexts without adequate isolation. Return predictors are a critical component of modern CPU branch prediction mechanisms, designed to accelerate function return operations by predicting return addresses before they are actually computed.

The security issue arises because the return predictor state persists across context switches and can be influenced or observed by different processes or privilege levels. This creates a covert channel that could be exploited to infer sensitive information about the execution patterns of other processes or privileged code.

Root Cause

The fundamental cause of CVE-2023-38575 lies in the microarchitectural design of affected Intel processors where return predictor resources are shared across execution contexts without proper isolation mechanisms. When a processor switches between different security contexts (such as user mode to kernel mode, or between different processes), the return predictor state is not adequately cleared or partitioned, allowing one context to potentially observe or influence predictions made for another context.

Attack Vector

The attack requires local access to the system and can be executed by an authorized user. The attacker exploits the shared return predictor state to perform side-channel attacks:

  1. The attacker first trains the return predictor with specific return addresses
  2. A victim process or privileged code executes, potentially modifying the return predictor state
  3. The attacker measures timing differences in return predictions to infer information about the victim's execution
  4. By analyzing these timing variations, the attacker can potentially extract sensitive data from protected memory regions or deduce execution patterns

This type of attack falls under the broader category of transient execution vulnerabilities that have affected modern processors, similar to Spectre-class attacks targeting branch prediction mechanisms.

Detection Methods for CVE-2023-38575

Indicators of Compromise

  • Unusual process behavior attempting to repeatedly measure CPU timing or performance counters
  • Processes executing tight loops with return instructions followed by timing measurements
  • Unexpected inter-process timing correlation patterns in performance monitoring data
  • Elevated usage of hardware performance monitoring interfaces from unprivileged processes

Detection Strategies

  • Monitor for processes utilizing performance monitoring counters (PMCs) related to branch prediction and return stack buffer metrics
  • Implement anomaly detection for applications exhibiting characteristic side-channel attack patterns such as repeated memory access timing measurements
  • Deploy endpoint detection solutions capable of identifying known exploitation techniques targeting CPU microarchitecture
  • Review system logs for unexpected access to /dev/cpu/*/msr or similar hardware interfaces

Monitoring Recommendations

  • Enable detailed audit logging for performance monitoring counter access
  • Monitor for unusual patterns of rdtsc or rdtscp instruction usage that may indicate timing-based attacks
  • Track kernel module loading events, particularly those related to performance monitoring
  • Implement continuous monitoring of systems running sensitive workloads on affected Intel processors

How to Mitigate CVE-2023-38575

Immediate Actions Required

  • Apply the latest microcode updates from Intel addressing SA-00982
  • Update operating system kernels to versions containing mitigations for this vulnerability
  • Prioritize patching on systems processing sensitive data or running multi-tenant workloads
  • Review and restrict access to hardware performance monitoring interfaces where possible

Patch Information

Intel has released microcode updates addressing this vulnerability as detailed in Intel Security Advisory SA-00982. Operating system vendors have also released kernel updates incorporating these mitigations:

  • Debian has released updates for affected LTS releases as documented in the Debian LTS Announcement
  • NetApp customers should refer to the NetApp Security Advisory for product-specific guidance

Apply both microcode updates (via BIOS/firmware update or OS-loaded microcode) and operating system patches for comprehensive protection.

Workarounds

  • Limit local user access on systems processing highly sensitive data
  • Consider workload isolation using separate physical hardware for security-critical applications
  • Disable hyperthreading (SMT) on highly sensitive systems as an additional defense-in-depth measure, though this may impact performance
  • Restrict access to performance monitoring capabilities to trusted administrative users only
bash
# Check current Intel microcode version
cat /proc/cpuinfo | grep microcode

# Verify kernel mitigations status
cat /sys/devices/system/cpu/vulnerabilities/*

# Update microcode on Debian-based systems
apt update && apt install intel-microcode

# Restrict performance event access (requires root)
echo 2 > /proc/sys/kernel/perf_event_paranoid

Disclaimer: This content was generated using AI. While we strive for accuracy, please verify critical information with official sources.

  • Vulnerability Details
  • TypeInformation Disclosure

  • Vendor/TechIntel

  • SeverityMEDIUM

  • CVSS Score5.5

  • EPSS Probability0.03%

  • Known ExploitedNo
  • CVSS Vector
  • CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:N
  • Impact Assessment
  • ConfidentialityLow
  • IntegrityNone
  • AvailabilityNone
  • CWE References
  • CWE-1303
  • Technical References
  • Debian LTS Announcement

  • NetApp Security Advisory

  • Intel Security Advisory SA-00982
  • Related CVEs
  • CVE-2025-20073: Intel UEFI DXE Information Disclosure Flaw

  • CVE-2025-22444: Intel UEFI PdaSmm Disclosure Vulnerability

  • CVE-2025-27708: Intel CSME Firmware Information Disclosure

  • CVE-2024-23984: Intel Processors Information Disclosure
Experience the World’s Most Advanced Cybersecurity Platform

Experience the World’s Most Advanced Cybersecurity Platform

See how our intelligent, autonomous cybersecurity platform can protect your organization now and into the future.

Try SentinelOne
  • Get Started
  • Get a Demo
  • Product Tour
  • Why SentinelOne
  • Pricing & Packaging
  • FAQ
  • Contact
  • Contact Us
  • Customer Support
  • SentinelOne Status
  • Language
  • Platform
  • Singularity Platform
  • Singularity Endpoint
  • Singularity Cloud
  • Singularity AI-SIEM
  • Singularity Identity
  • Singularity Marketplace
  • Purple AI
  • Services
  • Wayfinder TDR
  • SentinelOne GO
  • Technical Account Management
  • Support Services
  • Verticals
  • Energy
  • Federal Government
  • Finance
  • Healthcare
  • Higher Education
  • K-12 Education
  • Manufacturing
  • Retail
  • State and Local Government
  • Cybersecurity for SMB
  • Resources
  • Blog
  • Labs
  • Case Studies
  • Videos
  • Product Tours
  • Events
  • Cybersecurity 101
  • eBooks
  • Webinars
  • Whitepapers
  • Press
  • News
  • Ransomware Anthology
  • Company
  • About Us
  • Our Customers
  • Careers
  • Partners
  • Legal & Compliance
  • Security & Compliance
  • Investor Relations
  • S Foundation
  • S Ventures

©2026 SentinelOne, All Rights Reserved.

Privacy Notice Terms of Use

English