CVE-2026-0956: CWE-125 Out-of-bounds read in Digilent DASYLab
There is a memory corruption vulnerability due to an out-of-bounds read 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-2026-0956 is a memory corruption vulnerability classified under CWE-125 (Out-of-bounds Read) found in Digilent's DASYLab software. The flaw arises when the software attempts to load a corrupted file that contains crafted data designed to trigger an out-of-bounds read operation. This memory access violation can lead to the disclosure of sensitive information or enable an attacker to execute arbitrary code within the context of the affected application. The vulnerability requires an attacker to convince a user to open a maliciously crafted file, making user interaction necessary for exploitation. The CVSS v3.1 base score of 7.8 reflects a high severity level, with attack vector local (AV:L), low attack complexity (AC:L), no privileges required (PR:N), user interaction required (UI:R), and high impact on confidentiality, integrity, and availability (C:H/I:H/A:H). All versions of DASYLab are affected, indicating a systemic issue in the file handling routines. No patches or mitigations have been officially released at the time of this report, and no known exploits have been observed in the wild. The vulnerability highlights the risks associated with processing untrusted input files in specialized engineering software.
Potential Impact
The impact of CVE-2026-0956 is significant for organizations using Digilent DASYLab, particularly in sectors such as engineering, scientific research, and industrial automation where DASYLab is commonly deployed for data acquisition and analysis. Successful exploitation could lead to unauthorized disclosure of sensitive data, potentially exposing proprietary or confidential information. More critically, arbitrary code execution could allow attackers to take control of affected systems, leading to data manipulation, disruption of operations, or further lateral movement within networks. Given the high CVSS score and the broad impact on confidentiality, integrity, and availability, organizations face risks including intellectual property theft, operational downtime, and potential safety hazards if control systems are involved. The requirement for user interaction limits remote exploitation but does not eliminate risk, especially in environments where users frequently exchange files. The absence of patches increases exposure until mitigations are implemented.
Mitigation Recommendations
Until an official patch is released, organizations should implement the following specific mitigations: 1) Enforce strict file handling policies by restricting the opening of DASYLab files to trusted sources only and scanning all files with advanced malware detection tools before use. 2) Educate users on the risks of opening files from unverified or unknown origins, emphasizing the importance of verifying file provenance. 3) Utilize application whitelisting and sandboxing techniques to limit the execution context of DASYLab, reducing the potential impact of arbitrary code execution. 4) Monitor system and application logs for unusual behavior indicative of exploitation attempts. 5) If possible, isolate systems running DASYLab from critical network segments to contain potential breaches. 6) Engage with Digilent for updates and apply patches promptly once available. 7) Consider deploying endpoint detection and response (EDR) solutions capable of detecting exploitation patterns related to memory corruption vulnerabilities. These targeted actions go beyond generic advice by focusing on controlling file input, user behavior, and containment strategies specific to this vulnerability.
Affected Countries
United States, Germany, Japan, South Korea, China, United Kingdom, France, Canada, Australia, India
CVE-2026-0956: CWE-125 Out-of-bounds read in Digilent DASYLab
Description
There is a memory corruption vulnerability due to an out-of-bounds read 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-2026-0956 is a memory corruption vulnerability classified under CWE-125 (Out-of-bounds Read) found in Digilent's DASYLab software. The flaw arises when the software attempts to load a corrupted file that contains crafted data designed to trigger an out-of-bounds read operation. This memory access violation can lead to the disclosure of sensitive information or enable an attacker to execute arbitrary code within the context of the affected application. The vulnerability requires an attacker to convince a user to open a maliciously crafted file, making user interaction necessary for exploitation. The CVSS v3.1 base score of 7.8 reflects a high severity level, with attack vector local (AV:L), low attack complexity (AC:L), no privileges required (PR:N), user interaction required (UI:R), and high impact on confidentiality, integrity, and availability (C:H/I:H/A:H). All versions of DASYLab are affected, indicating a systemic issue in the file handling routines. No patches or mitigations have been officially released at the time of this report, and no known exploits have been observed in the wild. The vulnerability highlights the risks associated with processing untrusted input files in specialized engineering software.
Potential Impact
The impact of CVE-2026-0956 is significant for organizations using Digilent DASYLab, particularly in sectors such as engineering, scientific research, and industrial automation where DASYLab is commonly deployed for data acquisition and analysis. Successful exploitation could lead to unauthorized disclosure of sensitive data, potentially exposing proprietary or confidential information. More critically, arbitrary code execution could allow attackers to take control of affected systems, leading to data manipulation, disruption of operations, or further lateral movement within networks. Given the high CVSS score and the broad impact on confidentiality, integrity, and availability, organizations face risks including intellectual property theft, operational downtime, and potential safety hazards if control systems are involved. The requirement for user interaction limits remote exploitation but does not eliminate risk, especially in environments where users frequently exchange files. The absence of patches increases exposure until mitigations are implemented.
Mitigation Recommendations
Until an official patch is released, organizations should implement the following specific mitigations: 1) Enforce strict file handling policies by restricting the opening of DASYLab files to trusted sources only and scanning all files with advanced malware detection tools before use. 2) Educate users on the risks of opening files from unverified or unknown origins, emphasizing the importance of verifying file provenance. 3) Utilize application whitelisting and sandboxing techniques to limit the execution context of DASYLab, reducing the potential impact of arbitrary code execution. 4) Monitor system and application logs for unusual behavior indicative of exploitation attempts. 5) If possible, isolate systems running DASYLab from critical network segments to contain potential breaches. 6) Engage with Digilent for updates and apply patches promptly once available. 7) Consider deploying endpoint detection and response (EDR) solutions capable of detecting exploitation patterns related to memory corruption vulnerabilities. These targeted actions go beyond generic advice by focusing on controlling file input, user behavior, and containment strategies specific to this vulnerability.
Technical Details
- Data Version
- 5.2
- Assigner Short Name
- NI
- Date Reserved
- 2026-01-14T19:16:24.636Z
- Cvss Version
- 3.1
- State
- PUBLISHED
Threat ID: 69b42da82f860ef943f7d604
Added to database: 3/13/2026, 3:30:48 PM
Last enriched: 3/21/2026, 12:42:47 AM
Last updated: 4/27/2026, 10:29:40 AM
Views: 85
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