CVE-2026-64199 in DASYLab
Summary
by MITRE • 09/04/2026
There is an out-of-bounds read vulnerability in DASYLab due to improper validation of user-supplied data. This results in a read outside the bounds of an allocated data structure. Successful exploitation requires an attacker to get a user to open a specially crafted .DSB file. This issue affects all versions before 2026.0.0.
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Analysis
by VulDB Data Team • 09/04/2026
The vulnerability identified as an out-of-bounds read in DASYLab represents a critical memory safety flaw stemming from insufficient validation of external inputs, specifically within the processing logic for .DSB files. As a data acquisition and control software suite widely used in industrial automation and scientific research, DASYLab handles complex binary structures that define measurement parameters, channel configurations, and signal processing chains. The core technical deficiency lies in the application's failure to rigorously verify array indices or buffer lengths before performing memory read operations against user-supplied data embedded within these project files. When a specially crafted .DSB file is processed, the parser interprets malformed metadata or corrupted structural elements as valid pointers or size indicators that exceed the boundaries of the allocated heap or stack memory regions. This discrepancy allows the application to access memory locations that are not intended for its use, leading to an out-of-bounds read condition where sensitive data residing in adjacent memory blocks is exposed to the attacker-controlled context.
From a technical perspective, this flaw aligns with Common Weakness Enumeration category CWE-125, which describes Out-of-Bounds Read vulnerabilities. The exploitation vector relies heavily on social engineering or compromised file distribution channels, as successful execution requires an authenticated user to open a maliciously constructed .DSB file within the DASYLab environment. Unlike remote code execution flaws that may allow immediate system compromise, out-of-bounds reads primarily facilitate information disclosure and can serve as a precursor to more severe attacks such as heap corruption or arbitrary code execution if combined with other memory manipulation techniques. The attacker gains access to raw memory contents which may include cryptographic keys, session tokens, credentials stored in adjacent buffers, or internal application state data that reveals architectural details useful for further exploitation stages. This behavior is consistent with attack patterns observed in the MITRE ATT&CK framework under T1059 Command and Scripting Interpreter if subsequent steps involve leveraging leaked information to execute scripts, though the immediate impact remains focused on unauthorized memory access rather than direct command execution.
The operational impact of this vulnerability extends beyond simple data leakage. In industrial control systems where DASYLab is frequently deployed for monitoring critical infrastructure processes, an attacker exploiting this flaw could potentially extract sensitive configuration details or proprietary measurement algorithms stored in adjacent memory spaces. This compromises the confidentiality and integrity of intellectual property and operational security posture. Furthermore, while the immediate effect is a read operation, unstable memory access can lead to application crashes causing denial-of-service conditions that disrupt critical monitoring tasks. The lack of proper bounds checking indicates a broader systemic issue within the software's input validation framework, suggesting that similar vulnerabilities may exist in other file formats or data ingestion points handled by the application.
Mitigation strategies must prioritize immediate patching and defensive configuration changes until updates are applied. Users should upgrade to version 2026.0.0 or later where this improper validation has been rectified through enhanced input sanitization routines that strictly enforce boundary checks before any memory access occurs. In environments where upgrading is not immediately feasible, organizations should implement strict file intake policies by restricting the execution of DASYLab to trusted users and disabling automatic opening of received files. Network segmentation can also limit exposure by ensuring that systems running vulnerable versions are isolated from untrusted networks or external email gateways. Additionally, deploying endpoint detection and response solutions with memory protection capabilities may help detect anomalous access patterns indicative of exploitation attempts, providing an additional layer of defense against this class of vulnerability.