CVE-2021-40755
Adobe After Effects vulnerability analysis and mitigation

Overview

Adobe After Effects version 18.4.1 and earlier versions were found to contain a memory corruption vulnerability identified as CVE-2021-40755. The vulnerability was discovered in September 2021 and publicly disclosed on October 28, 2021. The issue stems from insecure handling of malicious SGI files in the DoReadContinue function, which could potentially lead to arbitrary code execution in the context of the current user (NVD, CVE).

Technical details

The vulnerability is classified as a memory corruption issue, specifically related to improper restriction of operations within the bounds of a memory buffer (CWE-119) and access of memory location after end of buffer (CWE-788). It received a CVSS v3.1 base score of 7.8 (High), with the vector string CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H. The CVSS v2.0 score was rated at 9.3 (High) with the vector (AV:N/AC:M/Au:N/C:C/I:C/A:C) (NVD).

Impact

If successfully exploited, this vulnerability could result in arbitrary code execution in the context of the current user. The high severity ratings across both CVSS v2.0 and v3.1 indicate potential for significant impact on the confidentiality, integrity, and availability of the affected system (NVD).

Mitigation and workarounds

Adobe addressed this vulnerability through a security update released in October 2021. The fix was part of a larger security bulletin that addressed multiple vulnerabilities. Adobe classified this as a Priority 3 update, meaning administrators can patch at their discretion (Threatpost).

Community reactions

The vulnerability was disclosed as part of a larger Adobe security update that addressed 92 vulnerabilities across 14 products. The security community noted this as a significant out-of-band security update, with the majority of vulnerabilities being critical in severity. Adobe characterized the release as "planned" rather than an emergency response (Threatpost).

Additional resources


SourceThis report was generated using AI

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