CVE-2026-28211 in NVDA-Dev-Test-Toolbox
Summary
by MITRE • 02/27/2026
The NVDA Dev & Test Toolbox is an NVDA add-on for gathering tools to help NVDA development and testing. A vulnerability exists in versions 2.0 through 8.0 in the Log Reader feature of this add-on. A maliciously crafted log file can lead to arbitrary code execution when a user reads it with log reader commands. The log reading command process speech log entries in an unsafe manner. Python expressions embedded in the log may be evaluated when when speech entries are read with log reading commands. An attacker can exploit this by convincing a user to open a malicious crafted log file and to analyze it using the log reading commands. When the log is read, attacker-controlled code may execute with the privileges of the current user. This issue does not require elevated privileges and relies solely on user interaction (opening the log file). Version 9.0 contains a fix for the issue. As a workaround, avoid using log reading commands, or at least, commands to move to next/previous log message (any message or commands for each type of message). For more security, one may disable their gestures in the input gesture dialog.
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Analysis
by VulDB Data Team • 02/27/2026
The vulnerability described in CVE-2026-28211 affects the NVDA Dev & Test Toolbox add-on, specifically within its Log Reader feature that is designed to assist developers and testers in analyzing NVDA application logs. This add-on serves as a utility for gathering and processing diagnostic information during the development and testing phases of the NVDA screen reader software. The flaw exists in versions ranging from 2.0 through 8.0, representing a significant security concern given the widespread use of NVDA in accessibility contexts and the potential for exploitation through user interaction.
The technical root cause of this vulnerability lies in the unsafe processing of speech log entries within the log reading command functionality. When users employ the log reader commands to examine log files, the system processes speech log entries without proper sanitization of embedded Python expressions. This design flaw allows for arbitrary code execution when maliciously crafted log files are opened and analyzed, as the system evaluates Python expressions contained within the log entries during speech processing. The vulnerability specifically manifests when speech entries are read using log reading commands, creating an execution path that bypasses normal security boundaries.
The operational impact of this vulnerability is particularly concerning because it requires only user interaction to exploit, making it susceptible to social engineering attacks. An attacker can craft a malicious log file containing embedded Python code and convince a user to open it using the log reading commands. Once opened, the embedded code executes with the privileges of the currently logged-in user, potentially allowing for complete system compromise. This type of attack vector aligns with the ATT&CK framework's technique T1203, which involves exploiting software vulnerabilities for privilege escalation, and represents a classic case of code injection through untrusted input processing.
The vulnerability demonstrates poor input validation and sanitization practices that violate fundamental security principles outlined in CWE-74 and CWE-94, which address improper neutralization of special elements used in data queries and code injection respectively. The flaw essentially allows for arbitrary code execution through the interpretation of user-supplied data without proper security controls. The attack scenario requires no elevated privileges, making it accessible to threat actors who can leverage the trust users place in legitimate diagnostic tools. This vulnerability particularly affects environments where users may be tempted to analyze log files from untrusted sources, which is common in development and testing scenarios.
The remediation approach involves upgrading to version 9.0 of the NVDA Dev & Test Toolbox, which contains the appropriate fixes for this vulnerability. Until such an upgrade is possible, users can implement several mitigations including avoiding the use of log reading commands entirely, or at minimum, refraining from commands that navigate to next/previous log messages. The suggested workaround of disabling gestures in the input gesture dialog provides an additional layer of protection by preventing the execution of potentially malicious command sequences. Security practitioners should also consider implementing application whitelisting policies and user education programs to reduce the likelihood of successful exploitation through social engineering tactics. This vulnerability highlights the importance of secure coding practices in development tools and the need for proper input validation even in diagnostic and testing utilities that users may trust implicitly.