Vulnerability-Lookup

CNVD-2022-06694

Vulnerability from cnvd - Published: 2022-01-25

Title

NETGEAR R6260 mini_httpd SOAP缓冲区溢出漏洞

Description

NETGEAR R6260是一款路由器设备。 NETGEAR R6260 routers存在安全漏洞，该漏洞源于设备在将用户提供的数据复制到固定长度的缓冲区之前未能正确验证它的长度，攻击者可以利用该漏洞在root上下文中执行代码。

Severity

高

Patch Name

NETGEAR R6260 mini_httpd SOAP缓冲区溢出漏洞的补丁

Patch Description

NETGEAR R6260是一款路由器设备。 NETGEAR R6260 routers存在安全漏洞，该漏洞源于设备在将用户提供的数据复制到固定长度的缓冲区之前未能正确验证它的长度，攻击者可以利用该漏洞在root上下文中执行代码。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，补丁获取链接： https://kb.netgear.com/000064261/Security-Advisory-for-Vertical-Privilege-Escalation-on-Some-Routers-PSV-2021-0152?article=000064261。

Reference

https://nvd.nist.gov/vuln/detail/CVE-2021-34979

Impacted products

Name
NETGEAR R6260

Show details on source website

JSON

To clipboard

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2021-34979",
      "cveUrl": "https://nvd.nist.gov/vuln/detail/CVE-2021-34979"
    }
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  "description": "NETGEAR R6260\u662f\u4e00\u6b3e\u8def\u7531\u5668\u8bbe\u5907\u3002\n\nNETGEAR R6260 routers\u5b58\u5728\u5b89\u5168\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u8bbe\u5907\u5728\u5c06\u7528\u6237\u63d0\u4f9b\u7684\u6570\u636e\u590d\u5236\u5230\u56fa\u5b9a\u957f\u5ea6\u7684\u7f13\u51b2\u533a\u4e4b\u524d\u672a\u80fd\u6b63\u786e\u9a8c\u8bc1\u5b83\u7684\u957f\u5ea6\uff0c\u653b\u51fb\u8005\u53ef\u4ee5\u5229\u7528\u8be5\u6f0f\u6d1e\u5728root\u4e0a\u4e0b\u6587\u4e2d\u6267\u884c\u4ee3\u7801\u3002",
  "formalWay": "\u76ee\u524d\u5382\u5546\u5df2\u53d1\u5e03\u5347\u7ea7\u8865\u4e01\u4ee5\u4fee\u590d\u6f0f\u6d1e\uff0c\u8865\u4e01\u83b7\u53d6\u94fe\u63a5\uff1a\r\nhttps://kb.netgear.com/000064261/Security-Advisory-for-Vertical-Privilege-Escalation-on-Some-Routers-PSV-2021-0152?article=000064261\u3002",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2022-06694",
  "openTime": "2022-01-25",
  "patchDescription": "NETGEAR R6260\u662f\u4e00\u6b3e\u8def\u7531\u5668\u8bbe\u5907\u3002\r\n\r\nNETGEAR R6260 routers\u5b58\u5728\u5b89\u5168\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u8bbe\u5907\u5728\u5c06\u7528\u6237\u63d0\u4f9b\u7684\u6570\u636e\u590d\u5236\u5230\u56fa\u5b9a\u957f\u5ea6\u7684\u7f13\u51b2\u533a\u4e4b\u524d\u672a\u80fd\u6b63\u786e\u9a8c\u8bc1\u5b83\u7684\u957f\u5ea6\uff0c\u653b\u51fb\u8005\u53ef\u4ee5\u5229\u7528\u8be5\u6f0f\u6d1e\u5728root\u4e0a\u4e0b\u6587\u4e2d\u6267\u884c\u4ee3\u7801\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",
  "patchName": "NETGEAR R6260 mini_httpd SOAP\u7f13\u51b2\u533a\u6ea2\u51fa\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": "NETGEAR R6260"
  },
  "referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2021-34979",
  "serverity": "\u9ad8",
  "submitTime": "2021-11-01",
  "title": "NETGEAR R6260 mini_httpd SOAP\u7f13\u51b2\u533a\u6ea2\u51fa\u6f0f\u6d1e"
}

CVE-2021-34979 (GCVE-0-2021-34979)

Vulnerability from cvelistv5 – Published: 2022-01-13 21:44 – Updated: 2024-08-04 00:26

Summary

This vulnerability allows network-adjacent attackers to execute arbitrary code on affected installations of NETGEAR R6260 1.1.0.78_1.0.1 routers. Authentication is not required to exploit this vulnerability. The specific flaw exists within the handling of SOAP requests. When parsing the SOAPAction header, the process does not properly validate the length of user-supplied data prior to copying it to a fixed-length buffer. An attacker can leverage this vulnerability to execute code in the context of root. Was ZDI-CAN-13512.

Severity

8.8 (High)


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

CWE

CWE-120 - Buffer Copy without Checking Size of Input ('Classic Buffer Overflow')

Assigner

zdi mitre root

References

2 references

URL	Tags
https://www.zerodayinitiative.com/advisories/ZDI-…	x_refsource_MISC
https://kb.netgear.com/000064261/Security-Advisor…	x_refsource_MISC

Impacted products

1 product

Vendor	Product	Version
NETGEAR	R6260	Affected: 1.1.0.78_1.0.1

Credits

Sherman Chann Zhi Shen & Hoang Thach Nguyen (d4rkn3ss)

Show details on NVD website

JSON

To clipboard

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        }
      ],
      "metrics": [
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          "cvssV3_0": {
            "attackComplexity": "LOW",
            "attackVector": "ADJACENT_NETWORK",
            "availabilityImpact": "HIGH",
            "baseScore": 8.8,
            "baseSeverity": "HIGH",
            "confidentialityImpact": "HIGH",
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            "privilegesRequired": "NONE",
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        }
      ],
      "x_legacyV4Record": {
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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.