CVE-2026-0957: CWE-787 Out-of-bounds write in Digilent DASYLab
There is a memory corruption vulnerability due to an out-of-bounds write when loading a corrupted file in Digilent DASYLab. This vulnerability may result in information disclosure or arbitrary code execution. Successful exploitation requires an attacker to get a user to open a specially crafted file. This vulnerability affects all versions of Digilent DASYLab.
AI Analysis
Technical Summary
CVE-2026-0957 is a vulnerability classified under CWE-787 (Out-of-bounds Write) found in Digilent's DASYLab software. The flaw arises when the application processes a corrupted file, leading to a memory corruption condition due to writing outside the bounds of allocated memory. This can cause unpredictable behavior, including the potential for arbitrary code execution or information disclosure. The vulnerability affects all versions of DASYLab, indicating a systemic issue in the file parsing logic. Exploitation requires an attacker to convince a user to open a maliciously crafted file, which triggers the out-of-bounds write. The CVSS v3.1 score of 7.8 (AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H) indicates that the attack vector is local (requiring user interaction), with low attack complexity, no privileges required, and high impact on confidentiality, integrity, and availability. Although no exploits are currently known in the wild, the vulnerability's nature and impact make it a critical concern for users of DASYLab, especially in environments where the software is used for data acquisition, analysis, and control in industrial or scientific contexts. The lack of available patches at the time of disclosure necessitates immediate risk mitigation steps.
Potential Impact
The impact of CVE-2026-0957 is significant for organizations using Digilent DASYLab, particularly those in engineering, scientific research, industrial automation, and data acquisition fields. Successful exploitation can lead to arbitrary code execution, allowing attackers to execute malicious code with the privileges of the user running DASYLab, potentially leading to full system compromise. Information disclosure risks could expose sensitive experimental or operational data. The vulnerability affects confidentiality, integrity, and availability, potentially disrupting critical processes and causing data loss or manipulation. Since exploitation requires user interaction, social engineering or phishing could be used to deliver the malicious file. The broad version impact means all users are vulnerable until a patch is released, increasing the window of exposure. Organizations relying heavily on DASYLab for operational technology or research could face operational downtime, intellectual property theft, or safety risks if exploited.
Mitigation Recommendations
To mitigate CVE-2026-0957 effectively, organizations should: 1) Immediately restrict the sources of files opened in DASYLab to trusted and verified origins only, minimizing exposure to malicious files. 2) Educate users on the risks of opening files from untrusted or unknown sources, emphasizing the social engineering aspect of this vulnerability. 3) Implement application whitelisting and sandboxing for DASYLab to limit the impact of potential exploitation and prevent unauthorized code execution. 4) Monitor file access and application behavior for anomalies indicative of exploitation attempts, such as unexpected crashes or unusual memory usage. 5) Maintain up-to-date backups of critical data processed by DASYLab to enable recovery in case of compromise. 6) Engage with Digilent for updates and patches, and apply them promptly once available. 7) Consider network segmentation to isolate systems running DASYLab from broader enterprise networks to contain potential breaches. 8) Use endpoint detection and response (EDR) tools to detect suspicious activities related to this vulnerability. These steps go beyond generic advice by focusing on controlling file provenance, user awareness, and containment strategies specific to the nature of this vulnerability.
Affected Countries
United States, Germany, Japan, South Korea, United Kingdom, Canada, France, China, Australia, Switzerland
CVE-2026-0957: CWE-787 Out-of-bounds write in Digilent DASYLab
Description
There is a memory corruption vulnerability due to an out-of-bounds write when loading a corrupted file in Digilent DASYLab. This vulnerability may result in information disclosure or arbitrary code execution. Successful exploitation requires an attacker to get a user to open a specially crafted file. This vulnerability affects all versions of Digilent DASYLab.
AI-Powered Analysis
Machine-generated threat intelligence
Technical Analysis
CVE-2026-0957 is a vulnerability classified under CWE-787 (Out-of-bounds Write) found in Digilent's DASYLab software. The flaw arises when the application processes a corrupted file, leading to a memory corruption condition due to writing outside the bounds of allocated memory. This can cause unpredictable behavior, including the potential for arbitrary code execution or information disclosure. The vulnerability affects all versions of DASYLab, indicating a systemic issue in the file parsing logic. Exploitation requires an attacker to convince a user to open a maliciously crafted file, which triggers the out-of-bounds write. The CVSS v3.1 score of 7.8 (AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H) indicates that the attack vector is local (requiring user interaction), with low attack complexity, no privileges required, and high impact on confidentiality, integrity, and availability. Although no exploits are currently known in the wild, the vulnerability's nature and impact make it a critical concern for users of DASYLab, especially in environments where the software is used for data acquisition, analysis, and control in industrial or scientific contexts. The lack of available patches at the time of disclosure necessitates immediate risk mitigation steps.
Potential Impact
The impact of CVE-2026-0957 is significant for organizations using Digilent DASYLab, particularly those in engineering, scientific research, industrial automation, and data acquisition fields. Successful exploitation can lead to arbitrary code execution, allowing attackers to execute malicious code with the privileges of the user running DASYLab, potentially leading to full system compromise. Information disclosure risks could expose sensitive experimental or operational data. The vulnerability affects confidentiality, integrity, and availability, potentially disrupting critical processes and causing data loss or manipulation. Since exploitation requires user interaction, social engineering or phishing could be used to deliver the malicious file. The broad version impact means all users are vulnerable until a patch is released, increasing the window of exposure. Organizations relying heavily on DASYLab for operational technology or research could face operational downtime, intellectual property theft, or safety risks if exploited.
Mitigation Recommendations
To mitigate CVE-2026-0957 effectively, organizations should: 1) Immediately restrict the sources of files opened in DASYLab to trusted and verified origins only, minimizing exposure to malicious files. 2) Educate users on the risks of opening files from untrusted or unknown sources, emphasizing the social engineering aspect of this vulnerability. 3) Implement application whitelisting and sandboxing for DASYLab to limit the impact of potential exploitation and prevent unauthorized code execution. 4) Monitor file access and application behavior for anomalies indicative of exploitation attempts, such as unexpected crashes or unusual memory usage. 5) Maintain up-to-date backups of critical data processed by DASYLab to enable recovery in case of compromise. 6) Engage with Digilent for updates and patches, and apply them promptly once available. 7) Consider network segmentation to isolate systems running DASYLab from broader enterprise networks to contain potential breaches. 8) Use endpoint detection and response (EDR) tools to detect suspicious activities related to this vulnerability. These steps go beyond generic advice by focusing on controlling file provenance, user awareness, and containment strategies specific to the nature of this vulnerability.
Technical Details
- Data Version
- 5.2
- Assigner Short Name
- NI
- Date Reserved
- 2026-01-14T19:16:25.405Z
- Cvss Version
- 3.1
- State
- PUBLISHED
Threat ID: 69b422e32f860ef943ee8229
Added to database: 3/13/2026, 2:44:51 PM
Last enriched: 3/21/2026, 12:43:02 AM
Last updated: 4/27/2026, 12:53:01 PM
Views: 87
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