CVE-2025-31226 Overview
CVE-2025-31226 is a logic issue in Apple's image processing components that affects multiple Apple operating systems. The vulnerability exists due to improper validation checks when processing maliciously crafted image files. An attacker can exploit this flaw by enticing a user to open a specially crafted image, leading to a denial-of-service condition on the affected device.
Critical Impact
Processing a maliciously crafted image may lead to denial-of-service, potentially causing system instability or application crashes across iPhone, iPad, Mac, Apple Watch, Apple TV, and Vision Pro devices.
Affected Products
- Apple iOS 18.5 and earlier, iPadOS 18.5 and earlier
- Apple iPadOS 17.7.7 and earlier (older branch)
- Apple macOS Sequoia 15.5 and earlier
- Apple watchOS 11.5 and earlier
- Apple tvOS 18.5 and earlier
- Apple visionOS 2.5 and earlier
Discovery Timeline
- May 12, 2025 - CVE-2025-31226 published to NVD
- November 3, 2025 - Last updated in NVD database
Technical Details for CVE-2025-31226
Vulnerability Analysis
This vulnerability stems from a logic issue in Apple's image processing framework. The underlying weakness is classified as CWE-400 (Uncontrolled Resource Consumption), indicating that the image processing routines fail to properly validate certain attributes within image files before allocating system resources or performing operations.
When a malformed image is processed, the logic flaw causes the image handling component to enter an unintended state, potentially consuming excessive resources or triggering an exception that the application cannot gracefully handle. This results in a denial-of-service condition where the affected application or system service crashes or becomes unresponsive.
The attack requires local access and user interaction—the victim must open or preview the malicious image file. This could occur through various vectors including email attachments, messaging apps, web downloads, or AirDrop transfers.
Root Cause
The root cause is a logic error in the image validation and processing pipeline. Apple's description indicates the flaw was addressed with "improved checks," suggesting that the original code lacked sufficient validation of image metadata, dimensions, or embedded data structures before processing. This allowed malformed images to bypass initial sanity checks and trigger resource exhaustion or crash conditions during subsequent processing stages.
Attack Vector
The attack requires local access to deliver the malicious image to the target device. User interaction is necessary—the victim must attempt to open, preview, or process the crafted image file. Attack scenarios include:
- Sending a malicious image via email or messaging platforms where automatic thumbnail generation may trigger the vulnerability
- Hosting the image on a website where it could be viewed or downloaded
- Transferring the file via AirDrop or file sharing services
- Including the image in documents or other file formats that embed images
The vulnerability affects the availability of the system without compromising confidentiality or integrity. An attacker cannot use this flaw to execute arbitrary code or access sensitive data, but can effectively disrupt device functionality.
Detection Methods for CVE-2025-31226
Indicators of Compromise
- Unexpected application crashes when viewing or processing image files
- System logs showing repeated failures in image processing services or frameworks
- Unusual memory consumption patterns associated with image handling processes
- Core dumps or crash reports referencing image decoding or rendering components
Detection Strategies
- Monitor system logs for repeated crashes in image processing components such as ImageIO, CoreGraphics, or related frameworks
- Implement endpoint detection rules to identify applications crashing after opening image files from untrusted sources
- Deploy SentinelOne Singularity platform to detect anomalous process behavior and resource consumption patterns
- Review crash reports for signatures consistent with denial-of-service exploitation attempts
Monitoring Recommendations
- Enable enhanced logging for image processing services across Apple devices in your fleet
- Configure Mobile Device Management (MDM) solutions to collect and analyze crash reports from managed devices
- Implement network monitoring to detect unusual volumes of image file transfers to endpoint devices
- Use SentinelOne's behavioral AI engine to identify and alert on application instability patterns
How to Mitigate CVE-2025-31226
Immediate Actions Required
- Update all affected Apple devices to the latest operating system versions immediately
- Educate users about the risks of opening image files from unknown or untrusted sources
- Review and restrict file transfer mechanisms in enterprise environments where possible
- Ensure automatic software updates are enabled on all managed Apple devices
Patch Information
Apple has released security updates to address this vulnerability across all affected platforms. Organizations and users should update to the following versions or later:
- iOS 18.5 and iPadOS 18.5 - See Apple Security Update 122404
- iPadOS 17.7.7 - See Apple Security Update 122405
- macOS Sequoia 15.5 - See Apple Security Update 122716
- watchOS 11.5 - See Apple Security Update 122720
- tvOS 18.5 - See Apple Security Update 122721
- visionOS 2.5 - See Apple Security Update 122722
Workarounds
- Disable automatic preview of image files in email clients and messaging applications where configurable
- Implement email gateway filtering to scan attachments for known malicious image signatures
- Use content filtering solutions to inspect image files before delivery to end-user devices
- Consider restricting AirDrop and file sharing capabilities on enterprise-managed devices until patches are applied
# Check current iOS/iPadOS version via command line (Mac with connected device)
ideviceinfo -k ProductVersion
# Verify macOS version
sw_vers -productVersion
# Use MDM to query device OS versions across fleet
# Consult your MDM vendor documentation for specific commands
Disclaimer: This content was generated using AI. While we strive for accuracy, please verify critical information with official sources.


