Vulnerability-Lookup

CNVD-2021-27930

Vulnerability from cnvd - Published: 2021-04-13

Title

Netop Vision Pro错误授权漏洞

Description

Netop Vision Pro是一个学生监控系统，用于教师在使用学校计算机时方便学生学习。 Netop Vision Pro存在安全漏洞。攻击者可利用漏洞重播网络流量。

Severity

中

Patch Name

Netop Vision Pro错误授权漏洞的补丁

Patch Description

Netop Vision Pro是一个学生监控系统，用于教师在使用学校计算机时方便学生学习。 Netop Vision Pro存在安全漏洞。攻击者可利用漏洞重播网络流量。目前，供应商发布了安全公告及相关补丁信息，修复了此漏洞。

Formal description

目前厂商已发布升级补丁以修复漏洞，详情请关注厂商主页： https://www.netop.com/

Reference

https://nvd.nist.gov/vuln/detail/CVE-2021-27195

Impacted products

Name
Netop Vision Pro <=9.7.1

Show details on source website

JSON

To clipboard

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  "serverity": "\u4e2d",
  "submitTime": "2021-03-26",
  "title": "Netop Vision Pro\u9519\u8bef\u6388\u6743\u6f0f\u6d1e"
}

CVE-2021-27195 (GCVE-0-2021-27195)

Vulnerability from cvelistv5 – Published: 2021-03-25 18:30 – Updated: 2024-08-03 20:40

Summary

Improper Authorization vulnerability in Netop Vision Pro up to and including to 9.7.1 allows an attacker to replay network traffic.

Severity

No CVSS data available.

CWE

Assigner

mitre mitre root

References

1 reference

URL	Tags
https://www.mcafee.com/blogs/other-blogs/mcafee-l…	x_refsource_MISC

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.

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.

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CNVD-2021-27930

CVE-2021-27195 (GCVE-0-2021-27195)

Tags

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Nomenclature

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