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-2025-21483

CVE-2025-21483: Qualcomm Apq8017 Buffer Overflow Flaw

CVE-2025-21483 is a buffer overflow vulnerability in Qualcomm Apq8017 Firmware caused by memory corruption during RTP packet processing. This post covers technical details, affected versions, impact, and mitigation.

Published: March 11, 2026

CVE-2025-21483 Overview

CVE-2025-21483 is a critical memory corruption vulnerability affecting a wide range of Qualcomm chipsets and firmware. The vulnerability occurs when a User Equipment (UE) device receives an RTP (Real-time Transport Protocol) packet from the network during the reassembly of NALUs (Network Abstraction Layer Units). This flaw can allow remote attackers to corrupt memory on affected devices without requiring any user interaction or authentication, potentially leading to complete device compromise.

Critical Impact

This vulnerability enables remote attackers to trigger memory corruption via network-delivered RTP packets, potentially achieving arbitrary code execution on affected Qualcomm-based devices including smartphones, automotive systems, IoT devices, and wearables.

Affected Products

  • Qualcomm Snapdragon 8 Gen 1/2/3 Mobile Platforms
  • Qualcomm Snapdragon 865/870/888 5G Mobile Platforms
  • Qualcomm FastConnect 6200/6700/6800/6900/7800 Firmware
  • Qualcomm SA8155P/SA8195P/SA8255P Automotive Platforms
  • Qualcomm QCM/QCS Series IoT Platforms
  • Qualcomm WCN36xx/39xx/6xxx/7xxx Connectivity Chipsets

Discovery Timeline

  • September 24, 2025 - CVE-2025-21483 published to NVD
  • November 28, 2025 - Last updated in NVD database

Technical Details for CVE-2025-21483

Vulnerability Analysis

This vulnerability is classified under CWE-119 (Improper Restriction of Operations within the Bounds of a Memory Buffer). The flaw exists in the media processing subsystem of Qualcomm chipsets, specifically within the NALU reassembly logic used for handling H.264/H.265 video streams transmitted over RTP.

When a device processes incoming RTP packets containing fragmented video NALUs, the reassembly routine fails to properly validate buffer boundaries. An attacker can craft malicious RTP packets with specially constructed NALU fragments that, when reassembled, cause the firmware to write beyond allocated memory boundaries. This can corrupt adjacent memory structures, overwrite critical data, or potentially allow arbitrary code execution.

The vulnerability is particularly concerning because RTP packets can be delivered over the network without any authentication requirements in many streaming scenarios. The attack can be triggered remotely when a vulnerable device processes malicious video content from an untrusted source.

Root Cause

The root cause is improper bounds checking during the NALU reassembly process in the media subsystem firmware. When fragmented NALUs arrive via RTP packets, the reassembly logic does not adequately verify that the combined fragment sizes fit within the allocated reassembly buffer. This allows carefully crafted fragments to trigger a buffer overflow condition during the copy operations.

Attack Vector

The attack vector is network-based, requiring the attacker to send specially crafted RTP packets to the target device. Exploitation scenarios include:

  • Malicious video streaming content delivered to vulnerable applications
  • Man-in-the-middle attacks injecting malicious RTP packets into video streams
  • Compromised media servers serving poisoned video content
  • Rogue access points delivering malicious content to connected devices

The attack requires no privileges, no user interaction, and can be executed remotely over the network. Once triggered, the memory corruption can lead to denial of service (device crash) or potentially arbitrary code execution in the context of the media processing subsystem.

The vulnerability manifests in the NALU reassembly function when processing RTP packets containing fragmented video data. When fragment sizes exceed expected boundaries during reassembly operations, memory corruption occurs. Technical details are available in the Qualcomm Security Bulletin September 2025.

Detection Methods for CVE-2025-21483

Indicators of Compromise

  • Unexpected device crashes or reboots during video playback or streaming sessions
  • Abnormal memory usage patterns in media processing services
  • Kernel panic logs referencing media codec or video subsystem components
  • Unusual RTP traffic patterns with malformed or oversized NALU fragments

Detection Strategies

  • Monitor network traffic for anomalous RTP packet characteristics, particularly unusual NALU fragment sizes or sequences
  • Implement firmware version checking to identify devices running vulnerable Qualcomm firmware
  • Deploy network intrusion detection signatures targeting malformed RTP NALU packets
  • Enable crash dump analysis on mobile and IoT devices to identify exploitation attempts

Monitoring Recommendations

  • Establish baseline metrics for RTP traffic patterns in your environment to detect anomalies
  • Configure logging for media subsystem crashes on Qualcomm-based devices
  • Monitor for firmware update status across device fleet to ensure patching compliance
  • Implement network segmentation to limit exposure of vulnerable devices to untrusted RTP sources

How to Mitigate CVE-2025-21483

Immediate Actions Required

  • Apply firmware updates from Qualcomm and device OEMs as soon as they become available
  • Restrict network access for vulnerable devices to trusted video streaming sources only
  • Disable or limit video streaming functionality on critical devices until patches are applied
  • Implement network-level filtering for malformed RTP packets where possible

Patch Information

Qualcomm has addressed this vulnerability in the September 2025 security bulletin. Device manufacturers and OEMs should integrate the updated firmware into their products. End users should apply security updates from their device manufacturers as they become available through standard update channels. Refer to the Qualcomm Security Bulletin September 2025 for detailed patch information.

Workarounds

  • Avoid connecting vulnerable devices to untrusted networks or video streaming services
  • Use VPN connections to protect RTP traffic from man-in-the-middle injection attacks
  • Disable automatic video playback features in applications where possible
  • Consider network-level deep packet inspection to filter potentially malicious RTP content
bash
# Example: Network-level mitigation using iptables to rate-limit RTP traffic
# This can help reduce exposure but is not a complete fix
iptables -A INPUT -p udp --dport 5004:5005 -m limit --limit 1000/sec -j ACCEPT
iptables -A INPUT -p udp --dport 5004:5005 -j DROP

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

  • Vulnerability Details
  • TypeBuffer Overflow

  • Vendor/TechQualcomm

  • SeverityCRITICAL

  • CVSS Score9.8

  • EPSS Probability0.05%

  • Known ExploitedNo
  • CVSS Vector
  • CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H
  • Impact Assessment
  • ConfidentialityLow
  • IntegrityNone
  • AvailabilityHigh
  • CWE References
  • CWE-119
  • Vendor Resources
  • Qualcomm Security Bulletin September 2025
  • Related CVEs
  • CVE-2025-47373: Qualcomm Fastconnect Buffer Overflow

  • CVE-2025-59603: Qualcomm SD865 Buffer Overflow Vulnerability

  • CVE-2025-59600: Qualcomm Fastconnect 6200 Buffer Overflow

  • CVE-2025-47387: Qualcomm Aqt1000 Buffer Overflow Flaw
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