Vulnerability-Lookup

CNVD-2021-18268

Vulnerability from cnvd - Published: 2021-03-18

Title

Mediatek MT7620N身份验证绕过漏洞

Description

Mediatek MT7620N是中国联发科（MediaTek）的一款IEEE802.11n片上路由芯片。 Mediatek MT7620N 1.06设备上存在身份验证绕过漏洞，攻击者可利用该漏洞识别信息或潜在地修改数据。

Severity

中

Patch Name

Mediatek MT7620N身份验证绕过漏洞的补丁

Patch Description

Mediatek MT7620N是中国联发科（MediaTek）的一款IEEE802.11n片上路由芯片。 Mediatek MT7620N 1.06设备上存在身份验证绕过漏洞，攻击者可利用该漏洞识别信息或潜在地修改数据。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

厂商已提供漏洞修补方案，请关注厂商主页及时更新： https://www.synopsys.com/blogs/software-security/cyrc-advisory-sept2020/

Reference

https://nvd.nist.gov/vuln/detail/CVE-2019-18989

Impacted products

Name
MediaTek Mediatek MT7620N 1.06

Show details on source website

JSON

To clipboard

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    "cve": {
      "cveNumber": "CVE-2019-18989",
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  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2021-18268",
  "openTime": "2021-03-18",
  "patchDescription": "Mediatek MT7620N\u662f\u4e2d\u56fd\u8054\u53d1\u79d1\uff08MediaTek\uff09\u7684\u4e00\u6b3eIEEE802.11n\u7247\u4e0a\u8def\u7531\u82af\u7247\u3002\r\n\r\nMediatek MT7620N 1.06\u8bbe\u5907\u4e0a\u5b58\u5728\u8eab\u4efd\u9a8c\u8bc1\u7ed5\u8fc7\u6f0f\u6d1e\uff0c\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u8bc6\u522b\u4fe1\u606f\u6216\u6f5c\u5728\u5730\u4fee\u6539\u6570\u636e\u3002\u76ee\u524d\uff0c\u4f9b\u5e94\u5546\u53d1\u5e03\u4e86\u5b89\u5168\u516c\u544a\u53ca\u76f8\u5173\u8865\u4e01\u4fe1\u606f\uff0c\u4fee\u590d\u4e86\u6b64\u6f0f\u6d1e\u3002",
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  "products": {
    "product": "MediaTek Mediatek MT7620N 1.06"
  },
  "referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2019-18989",
  "serverity": "\u4e2d",
  "submitTime": "2020-10-12",
  "title": "Mediatek MT7620N\u8eab\u4efd\u9a8c\u8bc1\u7ed5\u8fc7\u6f0f\u6d1e"
}

CVE-2019-18989 (GCVE-0-2019-18989)

Vulnerability from cvelistv5 – Published: 2020-09-30 17:22 – Updated: 2024-08-05 02:02

Summary

A partial authentication bypass vulnerability exists on Mediatek MT7620N 1.06 devices. The vulnerability allows sending an unencrypted data frame to a WPA2-protected WLAN router where the packet is routed through the network. If successful, a response is sent back as an encrypted frame, which would allow an attacker to discern information or potentially modify data.

Severity

6.1 (Medium)


                        
                          CVSS:3.0/AC:L/AV:A/A:N/C:L/I:L/PR:N/S:C/UI:N

CWE

Assigner

mitre mitre root

References

1 reference

URL	Tags
https://www.synopsys.com/blogs/software-security/…	x_refsource_MISC

Show details on NVD website

JSON

To clipboard

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        }
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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.