Raw vector
CVSS:4.0/AV:L/AC:L/AT:N/PR:N/UI:P/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:XSummary
CVE-2026-0955 is a high-severity Out-of-bounds Read (CWE-125) vulnerability in Ni Dasylab. Its CVSS base score is 8.5 (High).
Operationally, exploitation aligns with the MITRE ATT&CK technique Exploitation for Privilege Escalation (T1068); ranked at the 10th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog.
The strongest mitigations our analysis identified map to SA-11 (Developer Testing and Evaluation) and SA-8 (Security and Privacy Engineering Principles) — see the control section below for these in your framework.
Deeper analysis AI-assisted summary
Synthesised by an AI model from the NVD description and linked references — a reading aid, not an authoritative source.
CVE-2026-0955 is a memory corruption vulnerability stemming from an out-of-bounds read (CWE-125) in Digilent DASYLab, occurring when loading a corrupted file. This flaw affects all versions of the software and carries a CVSS v3.1 base score of 7.8 (AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H). Successful exploitation could lead to information disclosure or arbitrary code execution.
The vulnerability can be exploited by an attacker with local access who tricks a user into opening a specially crafted file within Digilent DASYLab. No privileges are required on the part of the attacker, but user interaction is necessary, making it a socially engineered local attack vector. Upon exploitation, an attacker could achieve high-impact confidentiality, integrity, and availability violations, potentially compromising the affected system.
The National Instruments (NI) security advisory at https://www.ni.com/en/support/security/available-critical-and-security-updates-for-ni-software/2026/out-of-bounds-read-vulnerabilities-in-digilent-dasylab.html details available critical and security updates for addressing out-of-bounds read vulnerabilities in Digilent DASYLab. Security practitioners should consult this reference for patch information and mitigation guidance.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2026-12039
Vulnerability Data
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…
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open a specially crafted file. This vulnerability affects all versions of Digilent DASYLab.
- CWE(s)
Related Threats
MITRE ATT&CK Enterprise Techniques
CVEs Like This One
Affected Assets
Mitigating Controls
Mitigating Controls (NIST 800-53 r5) AI
Developer testing and evaluation directly finds out-of-bounds read flaws through static analysis, fuzzing, and dynamic bounds checks.
Secure engineering principles require bounds checking and memory-safe constructs that stop out-of-bounds reads from being introduced.
Process isolation confines the effects of an out-of-bounds read to the compromised process.
Input validation rejects malformed indices or lengths that would otherwise cause reads outside buffer bounds.
Mitigating Controls (NIST CSF 2.0) AI
Derived directly from the weakness types (CWEs) cited in the NVD entry via our AI-authored CWE→CSF cross-walk (authority under review) — links open the control.
Secure-development practices such as bounds checking and memory-safe languages directly prevent out-of-bounds reads.
Vulnerability scanning and recording can discover instances of out-of-bounds reads after code is deployed.
Routine patching replaces vulnerable code containing out-of-bounds read flaws.
Mitigating Controls (ISO/IEC 27001:2022 Annex A) AI
Derived directly from the weakness types (CWEs) cited in the NVD entry via our AI-authored CWE→ISO cross-walk (authority under review) — links open the control.
Security testing in development and acceptance includes fuzzing and static analysis that detect out-of-bounds read defects before release.
Logging can record evidence of an out-of-bounds read but does not prevent the weakness itself.
Secure development life cycle mandates input validation and bounds checking that directly prevent out-of-bounds reads.
Application security requirements include explicit bounds and memory-safety specifications that mitigate buffer over-reads.
Secure system architecture and engineering principles require memory-safe design patterns and runtime protections against out-of-bounds access.
Secure coding standards explicitly forbid unsafe pointer arithmetic and mandate bounds-checked reads, eliminating CWE-125.