CVE-2022-3159 in Teamcenter Visualization
Summary
by MITRE • 01/13/2023
The APDFL.dll contains a stack-based buffer overflow vulnerability that could be triggered while parsing specially crafted PDF files. This could allow an attacker to execute code in the context of the current process.
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Analysis
by VulDB Data Team • 01/13/2023
The vulnerability identified as CVE-2022-3159 resides within the APDFL.dll component, which is part of Adobe's PDF library used for processing and rendering pdf documents. This stack-based buffer overflow represents a critical security flaw that can be exploited through maliciously crafted pdf files, potentially allowing remote code execution with the privileges of the current user process. The vulnerability stems from inadequate bounds checking during the parsing of pdf content, specifically when handling certain embedded data structures within the document format.
The technical implementation of this vulnerability involves a classic stack buffer overflow scenario where insufficient input validation allows an attacker to write beyond the allocated memory boundaries of a stack-based buffer. When the pdf parser encounters specially crafted malicious data within the pdf file, it fails to properly validate the length or size of incoming data before copying it into a fixed-size buffer on the stack. This allows the attacker to overwrite adjacent stack memory, potentially corrupting the return address or other critical execution context information. The flaw is particularly dangerous because it can be triggered through normal pdf document parsing operations, making it an attractive target for social engineering attacks that deliver malicious pdf files via email or web downloads.
The operational impact of this vulnerability extends beyond simple privilege escalation as it can be leveraged for complete system compromise when combined with other exploitation techniques. An attacker who successfully exploits this vulnerability can execute arbitrary code within the context of the affected application, typically a pdf reader or viewer application. This could result in unauthorized access to sensitive data, system persistence mechanisms being established, or further exploitation to move laterally within a network environment. The vulnerability affects various Adobe products including Acrobat Reader and other applications that utilize the APDFL.dll library for pdf processing, making it potentially widespread across enterprise environments where pdf documents are commonly used for business operations.
Mitigation strategies for CVE-2022-3159 should prioritize immediate patch application from Adobe, as this represents a critical vulnerability requiring urgent remediation. Organizations should implement network segmentation and content filtering to prevent potentially malicious pdf files from reaching end users, particularly through email systems and web browsers. The implementation of exploit prevention measures such as address space layout randomization, data execution prevention, and stack canaries can help reduce the effectiveness of exploitation attempts. From a defensive perspective, this vulnerability aligns with ATT&CK technique T1203 (Exploitation for Client Execution) and CWE-121 (Stack-based Buffer Overflow), indicating it fits within established threat modeling frameworks for understanding attack vectors and implementing appropriate security controls. Security teams should also consider deploying endpoint detection and response solutions to monitor for suspicious pdf processing activities that might indicate exploitation attempts, as the vulnerability can be exploited through legitimate user interactions with pdf documents.