CVE-2008-0100 in White Dune
Summary
by MITRE
Stack-based buffer overflow in the Scene::errorf function in Scene.cpp in White_Dune 0.29 beta791 and earlier allows remote attackers to execute arbitrary code via a long string in a .WRL file.
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Analysis
by VulDB Data Team • 01/25/2025
The vulnerability identified as CVE-2008-0100 represents a critical stack-based buffer overflow flaw within the White_Dune 0.29 beta791 software and earlier versions. This vulnerability resides in the Scene::errorf function located within the Scene.cpp source file, demonstrating a classic software security weakness that has been well-documented in cybersecurity literature. The flaw specifically manifests when processing malformed .WRL files, which are VRML (Virtual Reality Modeling Language) files used for 3D graphics representation. The vulnerability affects the software's error handling mechanism where insufficient input validation occurs when processing error messages, creating a condition where attacker-controlled data can overwrite adjacent memory on the stack.
The technical exploitation of this vulnerability follows a well-established pattern that aligns with CWE-121 Stack-based Buffer Overflow, where a fixed-length buffer on the stack is overwritten with data exceeding its capacity. When a remote attacker crafts a malicious .WRL file containing an excessively long string, the Scene::errorf function fails to properly validate the input length before copying it to a fixed-size buffer. This overflow can overwrite the return address of the calling function and potentially other stack variables, allowing an attacker to manipulate the program execution flow. The vulnerability's remote attack vector means that an attacker can deliver the malicious file through network-based delivery mechanisms without requiring local system access, making it particularly dangerous in web-based environments where users might unknowingly download and process such files.
The operational impact of this vulnerability extends beyond simple code execution, as it represents a privilege escalation vector that can lead to complete system compromise when the affected software runs with elevated privileges. The attack surface is broad since .WRL files are commonly used in 3D graphics applications and web content, making this vulnerability exploitable in various contexts including web browsers, 3D modeling software, and multimedia applications that utilize the White_Dune rendering engine. According to ATT&CK framework, this vulnerability maps to T1059 Command and Scripting Interpreter and T1203 Exploitation for Client Execution, where the overflow leads to arbitrary code execution. The vulnerability also relates to T1190 Exploit Public-Facing Application as it can be exploited through web-based delivery mechanisms, and T1068 Exploitation for Privilege Escalation when the application runs with elevated permissions.
Mitigation strategies for CVE-2008-0100 require immediate action to address the root cause through proper input validation and bounds checking. The primary remediation involves implementing proper string length validation within the Scene::errorf function before any data is copied to the buffer, ensuring that input strings do not exceed the buffer capacity. Additionally, implementing stack canaries, Address Space Layout Randomization (ASLR), and Data Execution Prevention (DEP) can significantly reduce the exploitability of such buffer overflow vulnerabilities. Organizations should also consider upgrading to newer versions of White_Dune that contain patches addressing this specific vulnerability, as the software is no longer actively maintained. Network segmentation and file type filtering can serve as additional defensive measures to prevent users from inadvertently processing malicious .WRL files. The vulnerability underscores the importance of input validation and proper memory management practices, which are fundamental requirements in secure software development lifecycle processes and align with industry standards such as those outlined in the OWASP Top Ten and NIST Cybersecurity Framework.