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Vulnerability Database/CVE-2025-53799

CVE-2025-53799: Windows Imaging Component Disclosure Flaw

CVE-2025-53799 is an information disclosure vulnerability in Windows Imaging Component caused by uninitialized resource use. Attackers can exploit this locally to access sensitive data. This article covers technical details, affected versions, security impact, and mitigation strategies.

Published:

CVE-2025-53799 Overview

CVE-2025-53799 is an information disclosure vulnerability in the Windows Imaging Component (WIC). The flaw stems from the use of an uninitialized resource [CWE-908] that an unauthorized local attacker can leverage to read memory contents. Successful exploitation requires user interaction, typically opening a specially crafted image file processed by WIC.

Microsoft published the advisory on September 9, 2025. The vulnerability affects a wide range of Windows client and server releases, along with Microsoft 365 Copilot on Android. The current EPSS probability is 0.782% at the 53.5 percentile.

Critical Impact

Local disclosure of process memory contents through crafted images parsed by the Windows Imaging Component, potentially leaking secrets, pointers, or other sensitive data useful for chaining further attacks.

Affected Products

  • Microsoft Windows 10 (1507, 1607, 1809, 21H2, 22H2) and Windows 11 (22H2, 23H2, 24H2)
  • Microsoft Windows Server 2008, 2012, 2016, 2019, 2022, 2022 23H2, and 2025
  • Microsoft 365 Copilot on Android

Discovery Timeline

  • 2025-09-09 - CVE-2025-53799 published to NVD
  • 2025-09-09 - Microsoft releases security update via the Microsoft Security Update Guide
  • 2026-06-17 - Last updated in NVD database

Technical Details for CVE-2025-53799

Vulnerability Analysis

The Windows Imaging Component is a COM-based framework used by many Windows applications to decode, encode, and manipulate image formats such as JPEG, PNG, TIFF, and HEIF. CVE-2025-53799 arises when WIC consumes a resource without fully initializing it before use. When the component processes a crafted image, the uninitialized bytes are returned to the caller through image metadata, decoded pixel buffers, or property store output.

The attacker cannot modify integrity or affect availability. However, the disclosed memory may include heap contents, address layout information, or fragments of previously processed data. Attackers frequently combine memory disclosure primitives with memory-corruption bugs to bypass Address Space Layout Randomization (ASLR).

Root Cause

The root cause is classified under [CWE-908]: Use of Uninitialized Resource. WIC allocates a buffer or structure and reads it, or returns it to a caller, before all fields are populated by the decoder path. Malformed image structures cause the decoder to skip the initialization logic while still producing an output object.

Attack Vector

The attack vector is local and requires user interaction. An attacker delivers a crafted image file through email, a website, a chat client, or a shared folder. When the victim opens or previews the file in an application that relies on WIC, including Windows Explorer thumbnails or Office documents, the vulnerable decode path executes and returns the uninitialized data to an attacker-controlled context.

No verified public proof-of-concept code is available at the time of writing. Refer to the Microsoft Security Update Guide for authoritative technical details.

Detection Methods for CVE-2025-53799

Indicators of Compromise

  • Unexpected image files (.jpg, .jpeg, .png, .tiff, .heic) delivered from untrusted sources and opened by end users
  • Processes such as explorer.exe, dllhost.exe, or Office applications loading windowscodecs.dll immediately after inbound file delivery
  • Anomalous outbound network traffic from image-viewing processes shortly after a suspicious file open event

Detection Strategies

  • Hunt for image files arriving through email or messaging platforms and immediately opened by preview handlers hosted in dllhost.exe
  • Correlate WIC-related module loads (windowscodecs.dll, WindowsCodecsRaw.dll) with subsequent process behavior that appears inconsistent with routine image viewing
  • Monitor endpoints for the presence of unpatched Windows builds using vulnerability management scans mapped to the Microsoft advisory

Monitoring Recommendations

  • Enable audit logging for file creation and access events in user download directories and email attachment cache locations
  • Ingest endpoint telemetry into a centralized data lake to correlate image file activity with process, network, and identity events
  • Track patch compliance across Windows 10, Windows 11, and Windows Server fleets against the September 2025 Patch Tuesday baseline

How to Mitigate CVE-2025-53799

Immediate Actions Required

  • Apply the Microsoft security updates referenced in the Microsoft Security Update Guide for every affected Windows build
  • Prioritize patching on systems that routinely process untrusted images, including mail servers with preview features, workstations, and jump hosts
  • Update Microsoft 365 Copilot on Android to the latest available version through Google Play

Patch Information

Microsoft has released cumulative security updates addressing CVE-2025-53799 for all supported Windows client and server versions. Administrators should deploy the corresponding update package via Windows Update, Windows Server Update Services (WSUS), Microsoft Intune, or Microsoft Configuration Manager. Legacy platforms such as Windows Server 2008 and 2012 require the appropriate Extended Security Update channel.

Workarounds

  • Disable image thumbnail previews in Windows Explorer on high-risk endpoints where patching is delayed
  • Block inbound image attachments at the mail gateway from untrusted senders until patches are deployed
  • Restrict user permissions to open files from network shares or removable media originating outside the organization
bash
# Verify the installed Windows build and patch level
systeminfo | findstr /B /C:"OS Name" /C:"OS Version"
wmic qfe list brief /format:table

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

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