CVE-2020-6147 in OpenUSDinfo

Summary

by MITRE • 11/13/2020

A heap overflow vulnerability exists in Pixar OpenUSD 20.05 when the software parses compressed sections in binary USD files. This instance exists in the USDC file format FIELDS section decompression heap overflow.

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Analysis

by VulDB Data Team • 12/07/2020

The heap overflow vulnerability identified as CVE-2020-6147 represents a critical security flaw within Pixar OpenUSD version 20.05 that specifically affects the parsing of compressed binary USD files. This vulnerability manifests during the decompression process of the USDC file format's FIELDS section, where improper input validation leads to memory corruption. The issue stems from insufficient bounds checking during the decompression routine, allowing maliciously crafted compressed data to overwrite adjacent heap memory regions. This type of vulnerability falls under CWE-121, heap-based buffer overflow, and represents a significant concern for systems processing 3D asset files that utilize the Universal Scene Description format. The vulnerability impacts the core functionality of OpenUSD's binary file parser, which is widely used in animation and visual effects production pipelines where USD files serve as the standard interchange format for complex 3D scenes.

The technical exploitation of this vulnerability occurs when the software encounters malformed compressed sections within binary USD files, particularly in the FIELDS section of USDC files. During decompression operations, the parser fails to properly validate the size parameters of compressed data blocks, leading to an overwrite of heap memory beyond the allocated buffer boundaries. This memory corruption can result in arbitrary code execution, denial of service conditions, or information disclosure depending on the specific memory layout and exploitation circumstances. The vulnerability is particularly dangerous because USD files are commonly exchanged between different software tools in the visual effects industry, making this a potential attack vector through malicious asset files. The flaw demonstrates a classic improper input validation issue that allows attackers to manipulate memory allocation parameters and cause unexpected behavior in the application's memory management system.

Operationally, this vulnerability poses significant risks to organizations utilizing Pixar OpenUSD in production environments, particularly those handling third-party 3D assets or collaborating with external partners who may provide compromised USD files. The impact extends beyond simple application crashes, as successful exploitation could allow attackers to execute arbitrary code with the privileges of the user running the OpenUSD application. This creates potential for complete system compromise, especially in environments where OpenUSD is used for processing untrusted content. The vulnerability affects not only standalone applications but also integrated development environments and render farms that depend on USD file formats for scene management. Security teams must consider this flaw in their risk assessments for media and entertainment production workflows, where the exchange of 3D assets occurs frequently and security controls may be less stringent than in other computing environments.

Mitigation strategies for CVE-2020-6147 should prioritize immediate patching of affected OpenUSD installations to version 20.08 or later, which includes fixed decompression routines with proper bounds checking. Organizations should implement strict file validation procedures for all USD files entering their production pipelines, including automated scanning for malformed compressed sections and content integrity verification. Network segmentation and access controls should be enforced to limit exposure of systems processing USD files to untrusted sources. Additionally, implementing application whitelisting and sandboxing measures can help contain potential exploitation attempts. The vulnerability highlights the importance of input validation in file format parsers and aligns with ATT&CK technique T1203, Exploitation for Client Execution, where file parsing vulnerabilities are commonly leveraged for remote code execution. Security monitoring should include detection of unusual memory allocation patterns and potential heap corruption indicators during file processing operations, as these may serve as early warning signs of exploitation attempts against similar vulnerabilities in other software components.

Reservation

01/07/2020

Disclosure

11/13/2020

Moderation

accepted

CPE

ready

EPSS

0.01433

KEV

no

Activities

very low

Sources

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