A Leader in the 2026 Gartner® Magic Quadrant™ for Endpoint Protection. Six years running.Six years. Gartner® Magic Quadrant™ Leader.Find Out Why
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
    • AI Data Pipelines
      Security Data Pipeline for AI SIEM and Data Optimization
    • 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-2021-38296

CVE-2021-38296: Apache Spark Information Disclosure Flaw

CVE-2021-38296 is an information disclosure vulnerability in Apache Spark that allows encryption key recovery and offline decryption of RPC traffic. This article covers technical details, affected versions, and mitigation.

Updated: May 16, 2026

CVE-2021-38296 Overview

Apache Spark versions 3.1.2 and earlier contain a flaw in the mutual authentication protocol used by RPC connections when spark.authenticate and spark.network.crypto.enabled are enabled. The bespoke protocol permits full recovery of the encryption key after an initial interactive attack. An attacker who captures ciphertext can later decrypt RPC traffic offline. The issue is tracked under [CWE-294] Authentication Bypass by Capture-replay and affects deployments relying on Spark's native RPC encryption. Oracle Financial Services Crime and Compliance Management Studio (versions 8.0.8.2.0 and 8.0.8.3.0) embeds the affected Spark component and inherits the exposure.

Critical Impact

Network-positioned attackers can recover encryption keys and decrypt all captured Apache Spark RPC traffic offline, exposing data exchanged between Spark nodes.

Affected Products

  • Apache Spark versions 3.1.2 and earlier
  • Oracle Financial Services Crime and Compliance Management Studio 8.0.8.2.0
  • Oracle Financial Services Crime and Compliance Management Studio 8.0.8.3.0

Discovery Timeline

  • 2022-03-10 - CVE-2021-38296 published to NVD
  • 2022-07 - Oracle addresses the issue in the Oracle Security Alert CPU July 2022
  • 2024-11-21 - Last updated in NVD database

Technical Details for CVE-2021-38296

Vulnerability Analysis

Apache Spark implements a custom mutual authentication and key agreement protocol to secure RPC connections between driver, executor, and master processes. The protocol is activated when operators set spark.authenticate=true together with spark.network.crypto.enabled=true. Cryptographic weaknesses in this handshake allow an attacker who can interact with a Spark endpoint to recover the negotiated encryption key.

Once the key is recovered, the attacker decrypts previously captured network traffic without further interaction with the cluster. This breaks the confidentiality guarantee of spark.network.crypto.enabled and exposes serialized job data, shuffle data, and control messages traversing RPC channels.

The weakness is scoped to the network crypto path. Mechanisms governed by spark.authenticate.enableSaslEncryption, spark.io.encryption.enabled, spark.ssl, and spark.ui.strictTransportSecurity are not affected.

Root Cause

The root cause is the use of a bespoke authentication protocol rather than a vetted standard. The protocol leaks sufficient information during the handshake that an active participant can derive the symmetric encryption key. This places the vulnerability in [CWE-294] (Authentication Bypass by Capture-replay) territory, where protocol design choices undermine the secrecy of session keys.

Attack Vector

The attack is network-based and requires no authentication or user interaction. An attacker first conducts an interactive exchange with a Spark RPC endpoint to recover the key. The attacker then performs offline decryption on any captured RPC traffic. Because the protocol failure is in key agreement, no memory corruption or code execution primitive is required.

No public proof-of-concept exploit is referenced in the advisory. Detailed protocol analysis is available in the Apache Mailing List Thread.

Detection Methods for CVE-2021-38296

Indicators of Compromise

  • Unexpected RPC handshakes originating from hosts outside the documented Spark cluster topology.
  • Repeated short-lived connections to Spark driver, master, or executor RPC ports (default 7077, dynamic executor ports) from a single source.
  • Spark logs showing authentication exchanges followed by abnormal session terminations.

Detection Strategies

  • Inventory all Spark deployments and identify clusters running version 3.1.2 or earlier with spark.authenticate=true and spark.network.crypto.enabled=true.
  • Inspect configuration management data for spark-defaults.conf files referencing the vulnerable crypto settings without TLS overlay.
  • Correlate network flow records against the expected list of cluster member IPs to surface anomalous RPC initiators.

Monitoring Recommendations

  • Capture and retain NetFlow or packet metadata for Spark RPC ports to support retrospective analysis if key recovery is suspected.
  • Alert on RPC connections from non-cluster subnets, including developer workstations and unmanaged hosts.
  • Monitor Spark master and worker logs for repeated SaslException or crypto handshake errors that may indicate probing.

How to Mitigate CVE-2021-38296

Immediate Actions Required

  • Upgrade Apache Spark to version 3.1.3 or later, where the bespoke protocol has been corrected.
  • Apply the July 2022 Oracle Critical Patch Update to remediate Oracle Financial Services Crime and Compliance Management Studio 8.0.8.2.0 and 8.0.8.3.0.
  • Restrict network access to Spark RPC ports using firewall rules or security groups so that only authorized cluster members can connect.

Patch Information

The Apache Spark project resolved the issue in version 3.1.3. Upgrade paths to 3.2.x and 3.3.x also contain the fix. Refer to the Apache Mailing List Thread for the upstream announcement and to the Oracle Security Alert CPU July 2022 for downstream product fixes.

Workarounds

  • Disable spark.network.crypto.enabled and instead enforce transport security with spark.ssl for RPC channels until patching is possible.
  • Enable spark.authenticate.enableSaslEncryption as an alternative encryption mechanism, which is not affected by this issue.
  • Place Spark clusters on isolated network segments and require VPN or bastion access for any administrative interaction.
bash
# Configuration example: switch from vulnerable network crypto to SSL-based RPC encryption
# spark-defaults.conf
spark.authenticate                       true
spark.network.crypto.enabled             false
spark.ssl.enabled                        true
spark.ssl.protocol                       TLSv1.2
spark.ssl.keyStore                       /etc/spark/ssl/keystore.jks
spark.ssl.keyStorePassword               <redacted>
spark.ssl.trustStore                     /etc/spark/ssl/truststore.jks
spark.ssl.trustStorePassword             <redacted>

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

  • Vulnerability Details
  • TypeInformation Disclosure

  • Vendor/TechApache Spark

  • SeverityHIGH

  • CVSS Score7.5

  • EPSS Probability2.15%

  • Known ExploitedNo
  • CVSS Vector
  • CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N
  • Impact Assessment
  • ConfidentialityLow
  • IntegrityNone
  • AvailabilityNone
  • CWE References
  • CWE-294
  • Vendor Resources
  • Apache Mailing List Thread

  • Oracle Security Alert CPU July 2022
  • Related CVEs
  • CVE-2025-54920: Apache Spark RCE Vulnerability

  • CVE-2022-33891: Apache Spark UI ACL Bypass RCE Vulnerability

  • CVE-2023-32007: Apache Spark RCE Vulnerability

  • CVE-2020-9480: Apache Spark Auth Bypass Vulnerability
Default Legacy - Prefooter | Experience the World’s Most Advanced Cybersecurity Platform

Experience the Most Advanced Cybersecurity Platform

See how the world’s most intelligent, autonomous cybersecurity platform can protect your organization today 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