CVE-2026-49033 in Proteus
Summary
by MITRE • 07/08/2026
The application contains a stack-based buffer overflow vulnerability that can be exploited by an attacker to execute arbitrary code.
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Analysis
by VulDB Data Team • 07/08/2026
This vulnerability represents a critical stack-based buffer overflow flaw that fundamentally compromises application security through improper input validation and memory management practices. The vulnerability occurs when an application fails to properly bounds-check user-supplied data before copying it into fixed-size stack buffers, creating opportunities for attackers to overwrite adjacent memory locations including return addresses, function pointers, and other critical control data structures. Such flaws are classified under CWE-121 Stack-based Buffer Overflow, which directly enables arbitrary code execution through controlled memory corruption techniques.
The technical exploitation of this vulnerability typically involves crafting malicious input that exceeds the allocated buffer size, causing the stack to overflow and overwrite the return address or other sensitive memory locations. Attackers can manipulate these overwritten values to redirect program execution flow toward injected malicious code or existing code within the application memory space. This technique aligns with ATT&CK tactics including T1059 Command and Scripting Interpreter and T1074 Data Staged, as the overflow enables attackers to execute arbitrary commands through controlled program flow manipulation rather than direct memory injection.
The operational impact of such vulnerabilities extends beyond simple code execution to encompass complete system compromise when combined with other exploitation techniques. Successful exploitation can result in privilege escalation, persistent backdoor installation, data exfiltration, and lateral movement within network environments. The vulnerability's severity is amplified by the fact that stack overflows often occur during input processing phases where applications handle untrusted data from external sources such as network requests, file uploads, or user interface interactions. This creates multiple attack vectors and increases the likelihood of successful exploitation in real-world scenarios.
Mitigation strategies must address both immediate protection and long-term architectural improvements to prevent similar vulnerabilities from recurring. Input validation and bounds checking should be implemented at every level of data processing with proper sanitization routines that enforce strict size limitations on all user-supplied inputs. Applications should employ modern compiler protections including stack canaries, address space layout randomization, and non-executable stack features to make exploitation significantly more difficult. Additionally, implementing defensive programming practices such as using safe string manipulation functions, adopting memory-safe programming languages where possible, and conducting regular security code reviews and automated vulnerability scanning will provide comprehensive protection against this class of vulnerabilities while adhering to industry standards and best practices for secure software development.