CVE-2020-13493 in OpenUSD
Summary
by MITRE • 12/02/2020
A heap overflow vulnerability exists in Pixar OpenUSD 20.05 when the software parses compressed sections in binary USD files. A specially crafted USDC file format path jumps decompression heap overflow in a way path jumps are processed. To trigger this vulnerability, the victim needs to open an attacker-provided malformed file.
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Analysis
by VulDB Data Team • 12/12/2020
The heap overflow vulnerability CVE-2020-13493 represents a critical security flaw in Pixar OpenUSD version 20.05 that manifests during the parsing of compressed sections within binary USD files. This vulnerability specifically targets the decompression heap management process, where malformed path jumps in USDC file formats trigger unauthorized memory access patterns. The flaw occurs when the software encounters specially crafted compressed data structures that cause the decompression routine to write beyond allocated heap boundaries. The vulnerability is classified under CWE-121 as a heap-based buffer overflow, which directly violates memory safety principles and creates potential exploitation vectors for remote code execution. The attack requires minimal user interaction as the vulnerability is triggered simply by opening a maliciously crafted file, making it particularly dangerous in environments where users might encounter untrusted USD content. This type of vulnerability falls under the ATT&CK technique T1203 which involves exploitation of software vulnerabilities to gain unauthorized access to systems.
The technical implementation of this heap overflow occurs when the OpenUSD parser processes compressed sections in binary USD files through its internal decompression engine. The software's handling of path jumps within compressed data structures creates a scenario where the decompression algorithm fails to properly validate the bounds of memory allocations. When processing malformed USDC files, the decompression routine attempts to write data beyond the allocated heap memory regions, causing a heap overflow condition. This condition can result in memory corruption that potentially allows attackers to execute arbitrary code or cause application crashes. The vulnerability is particularly concerning because it operates at the binary parsing level where the software processes user-supplied data without sufficient validation mechanisms. The heap overflow can be exploited to manipulate memory layout and potentially overwrite critical program structures or function pointers, leading to complete system compromise.
The operational impact of this vulnerability extends beyond simple denial of service scenarios, as it creates opportunities for sophisticated attack vectors that can be leveraged by threat actors. When a victim opens an attacker-controlled malformed USDC file, the application becomes vulnerable to memory corruption that can be exploited to execute malicious code with the privileges of the running application. This vulnerability affects all systems running Pixar OpenUSD 20.05 that process binary USD files, including animation studios, content creation environments, and rendering pipelines that utilize this software. The risk is particularly high in collaborative environments where multiple users might share USD files, as a single compromised file could affect an entire production pipeline. The vulnerability's exploitation requires no special privileges beyond the ability to provide a malicious file, making it accessible to attackers with limited technical expertise. Security professionals should consider this vulnerability as part of their threat modeling for content management systems and digital asset pipelines that rely on USD file formats.
Mitigation strategies for CVE-2020-13493 should focus on immediate software updates and operational security measures to protect against exploitation. The primary recommendation is to upgrade to Pixar OpenUSD versions that have addressed this heap overflow vulnerability through proper bounds checking and memory management improvements. Organizations should implement strict file validation procedures for any USD files that are processed within their environments, including automated scanning for malformed compressed sections. Network segmentation and access controls should be implemented to limit exposure to potentially malicious files, particularly in shared work environments where file sharing occurs. Regular security assessments should include testing for similar heap-based vulnerabilities in other software components that handle binary file formats. Additionally, system monitoring should be enhanced to detect unusual memory access patterns or application crashes that might indicate exploitation attempts. The vulnerability serves as a reminder of the importance of proper memory safety practices in software that processes user-supplied binary data, aligning with industry best practices outlined in secure coding standards and vulnerability management frameworks.