CVE-2026-47979
Adobe Media Encoder vulnerability analysis and mitigation

Overview

CVE-2026-47979 is an out-of-bounds read vulnerability (CWE-125) in Adobe Media Encoder that can lead to disclosure of sensitive memory contents. It affects Adobe Media Encoder versions 26.2.2 and earlier, and 25.6.5 and earlier, on both Windows and macOS platforms. The vulnerability was disclosed and patched on July 14, 2026, as part of Adobe's security update APSB26-72. It carries a CVSS v3.1 base score of 5.5 (Medium) (Adobe Advisory, GitHub Advisory).

Technical details

The vulnerability is classified as CWE-125 (Out-of-bounds Read), where Adobe Media Encoder reads data beyond the intended buffer boundary when processing a specially crafted media file. The attack vector is local, requiring no privileges, but does require user interaction — specifically, a victim must open a malicious file in the application. This type of flaw is commonly associated with CAPEC-540 (Overread Buffers) and can expose sensitive process memory to an attacker who controls the malicious input file (Adobe Advisory, GitHub Advisory).

Impact

Successful exploitation results in the disclosure of sensitive memory contents from the Adobe Media Encoder process, posing a high confidentiality impact with no effect on integrity or availability. An attacker could potentially extract sensitive data such as credentials, cryptographic keys, or other in-memory information processed by the application. The scope is limited to the local system and the affected process, with no evidence of lateral movement potential or remote exploitation capability (Adobe Advisory, GitHub Advisory).

Exploitation steps

  1. Craft a malicious file: Create a specially crafted media file (e.g., a video or audio file in a format supported by Adobe Media Encoder) designed to trigger an out-of-bounds read when parsed by the application.
  2. Deliver the file: Distribute the malicious file to a target user via email attachment, file sharing, or a compromised download source, using social engineering to convince the victim to open it.
  3. Trigger the vulnerability: When the victim opens the malicious file in Adobe Media Encoder (versions 26.2.2/25.6.5 or earlier), the application reads beyond the intended buffer boundary during file parsing.
  4. Extract sensitive memory: The out-of-bounds read exposes memory contents from the Media Encoder process, which may include sensitive data such as credentials or cryptographic material that the attacker can capture through the application's output or error handling (Adobe Advisory).

Indicators of compromise

  • File System: Presence of unexpected or suspicious media files (e.g., unusually structured video/audio files) in directories accessible to Adobe Media Encoder; files received from untrusted sources opened in Media Encoder.
  • Logs: Application crash logs or error reports from Adobe Media Encoder referencing memory access violations or out-of-bounds read errors during file parsing.
  • Process: Abnormal behavior of the Media Encoder process, such as unexpected memory dumps or crashes when opening specific files.

Mitigation and workarounds

Adobe has released patched versions addressing this vulnerability: Adobe Media Encoder 26.3 (for the 26.x branch) and 25.6.6 (for the 25.x branch) on Windows and macOS. Users should update immediately via the Creative Cloud desktop application or Adobe's official download channels. As a temporary workaround prior to patching, users should avoid opening media files from untrusted or unknown sources and restrict Media Encoder access to trusted users only (Adobe Advisory).

Community reactions

The CIS (Center for Internet Security) issued an advisory noting multiple vulnerabilities in Adobe products, including this CVE, that could allow for arbitrary code execution or information disclosure (CIS Advisory). FortiGuard also updated its IPS signatures to cover this vulnerability. General community reaction has been muted given the medium severity rating, lack of public PoC, and absence of active exploitation.

Additional resources


SourceThis report was generated using AI

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