Vulnerability-Lookup

CNVD-2020-31521

Vulnerability from cnvd - Published: 2020-06-04

Title

Google Kubernetes跨站请求伪造漏洞

Description

Google Kubernetes是美国谷歌（Google）公司的一套开源的Docker容器集群管理系统。该系统为容器化的应用提供资源调度、部署运行、服务发现和扩容缩容等功能。 Google Kubernetes中的kube-controller-manager存在安全漏洞。该漏洞源于网络系统或产品的代码开发过程中存在设计或实现不当的问题。远程攻击者可以利用此漏洞进行SSRF攻击，从未受保护的端点泄漏泄露多达500字节的任意信息。

Severity

低

Patch Name

Google Kubernetes跨站请求伪造漏洞的补丁

Patch Description

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://github.com/kubernetes/kubernetes/issues/91542

Reference

https://access.redhat.com/security/cve/cve-2020-8555

Impacted products

Name
Google Kubernetes

Show details on source website

JSON

To clipboard

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CVE-2020-8555 (GCVE-0-2020-8555)

Vulnerability from cvelistv5 – Published: 2020-06-04 21:50 – Updated: 2024-09-16 18:39

Title

Kubernetes kube-controller-manager SSRF

Summary

The Kubernetes kube-controller-manager in versions v1.0-1.14, versions prior to v1.15.12, v1.16.9, v1.17.5, and version v1.18.0 are vulnerable to a Server Side Request Forgery (SSRF) that allows certain authorized users to leak up to 500 bytes of arbitrary information from unprotected endpoints within the master's host network (such as link-local or loopback services).

Severity

6.3 (Medium)


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

CWE

CWE-918 - Server-Side Request Forgery (SSRF)

Assigner

kubernetes mitre root

References

6 references

URL	Tags
http://www.openwall.com/lists/oss-security/2020/06/01/4	mailing-listx_refsource_MLIST
https://groups.google.com/d/topic/kubernetes-secu…	mailing-listx_refsource_MLIST
https://github.com/kubernetes/kubernetes/issues/91542	x_refsource_CONFIRM
https://lists.fedoraproject.org/archives/list/pac…	vendor-advisoryx_refsource_FEDORA
https://security.netapp.com/advisory/ntap-2020072…	x_refsource_CONFIRM
http://www.openwall.com/lists/oss-security/2021/05/04/8	mailing-listx_refsource_MLIST

Impacted products

1 product

Vendor	Product	Version
Kubernetes	Kubernetes	Affected: 1.18.0 Affected: 1.1 Affected: 1.2 Affected: 1.3 Affected: 1.4 Affected: 1.5 Affected: 1.6 Affected: 1.7 Affected: 1.8 Affected: 1.9 Affected: 1.10 Affected: 1.11 Affected: 1.12 Affected: 1.13 Affected: 1.14 Affected: 1.15 , < 1.15.12 (custom) Affected: 1.16 , < 1.16.9 (custom) Affected: 1.17 , < 1.17.5 (custom)

Credits

Brice Augras from Groupe-Asten and Christophe Hauquiert from Nokia

Show details on NVD website

JSON

To clipboard

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  },
  "cveMetadata": {
    "assignerOrgId": "a6081bf6-c852-4425-ad4f-a67919267565",
    "assignerShortName": "kubernetes",
    "cveId": "CVE-2020-8555",
    "datePublished": "2020-06-04T21:50:11.749Z",
    "dateReserved": "2020-02-03T00:00:00.000Z",
    "dateUpdated": "2024-09-16T18:39:58.006Z",
    "state": "PUBLISHED"
  },
  "dataType": "CVE_RECORD",
  "dataVersion": "5.1"
}

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.

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.

Action not permitted

CNVD-2020-31521

CVE-2020-8555 (GCVE-0-2020-8555)

Tags

Sightings

Nomenclature

Related by attack behaviour