Vulnerability-Lookup

CNVD-2026-10358

Vulnerability from cnvd - Published: 2026-02-05

Title

Digilent DASYLab越界写入漏洞（CNVD-2026-10358）

Description

Digilent DASYLab是Digilent公司的一款图形化数据采集应用开发平台。 Digilent DASYLab存在越界写入漏洞，该漏洞源于解析DSB文件时边界检查不当，攻击者可利用该漏洞导致执行任意代码。

Severity

高

Formal description

厂商尚未提供漏洞修复方案，请关注厂商主页更新： https://www.ni.com/en/support/security/available-critical-and-security-updates-for-ni-software/memory-corruption-vulnerabilities-in-digilent-dasylab.html

Reference

https://nvd.nist.gov/vuln/detail/CVE-2025-57776

Impacted products

Name
Digilent DASYLab

Show details on source website

JSON

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  "cves": {
    "cve": {
      "cveNumber": "CVE-2025-57776",
      "cveUrl": "https://nvd.nist.gov/vuln/detail/CVE-2025-57776"
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  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2026-10358",
  "openTime": "2026-02-05",
  "products": {
    "product": "Digilent DASYLab"
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  "referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2025-57776",
  "serverity": "\u9ad8",
  "submitTime": "2025-09-04",
  "title": "Digilent DASYLab\u8d8a\u754c\u5199\u5165\u6f0f\u6d1e\uff08CNVD-2026-10358\uff09"
}

CVE-2025-57776 (GCVE-0-2025-57776)

Vulnerability from cvelistv5 – Published: 2025-09-02 18:16 – Updated: 2025-09-02 19:26

Title

Out Of Bounds Write to invalid address when parsing a DSB file with Digilent DASYLab

Summary

There is an out of bounds write vulnerability due to improper bounds checking resulting in an invalid address when parsing a DSB file with Digilent DASYLab. This vulnerability may result in arbitrary code execution. Successful exploitation requires an attacker to get a user to open a specially crafted DSB file. The vulnerability affects all versions of DASYLab.

Severity

7.8 (High)


                        
                          CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H

8.5 (High)


                        
                          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

SSVC

Exploitation: none Automatable: no Technical Impact: total

CISA Coordinator · CISA-ADP (v2.0.3)

Decision recorded 2025-09-02 19:26 UTC

CWE

CWE-1285 - Improper Validation of Specified Index, Position, or Offset in Input

Assigner

NI mitre root

References

1 reference

URL	Tags
https://www.ni.com/en/support/security/available-…

Impacted products

1 product

Vendor	Product	Version
Digilent	DASYLab	Affected: 0 , ≤ * (semver)

Credits

kimiya working with Trend Micro Zero Day Initiative

Show details on NVD website

JSON

To clipboard

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Sightings

Author	Source	Type	Date	Other

Nomenclature

Seen: The vulnerability was mentioned, discussed, or observed by the user.
Confirmed: The vulnerability has been validated from an analyst's perspective.
Published Proof of Concept: A public proof of concept is available for this vulnerability.
Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
Not confirmed: The user expressed doubt about the validity of the vulnerability.
Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.

Detection rules are retrieved from Rulezet.

The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base model, served locally by ML-Gateway. They have not been verified by an analyst and are provided for guidance only.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.

Related by attack behaviour

Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.