Vulnerability-Lookup

CNVD-2017-33041

Vulnerability from cnvd - Published: 2017-11-08

Title

F5 BIG-IP systems Traffic Management Microkernel拒绝服务漏洞

Description

F5 BIG-IP systems是一款集成了网络流量管理、应用程序安全管理、负载均衡等功能的应用交付产品。 F5 BIG-IP systems Traffic Management Microkernel存在安全漏洞，允许远程攻击者利用漏洞提交特制的请求进行拒绝服务攻击。

Severity

中

Patch Name

F5 BIG-IP systems Traffic Management Microkernel拒绝服务漏洞的补丁

Patch Description

F5 BIG-IP systems是一款集成了网络流量管理、应用程序安全管理、负载均衡等功能的应用交付产品。 F5 BIG-IP systems Traffic Management Microkernel存在安全漏洞，允许远程攻击者利用漏洞提交特制的请求进行拒绝服务攻击。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

用户可参考如下供应商提供的安全公告获得补丁信息： https://www.securitytracker.com/id/1038132

Reference

https://support.f5.com/csp/article/K46535047

Impacted products

Name
['F5 BIG-IP <11.5.4 HF3', 'F5 BIG-IP 11.6.，<11.6.1 HF2', 'F5 BIG-IP 12.，<12.1.2']

Show details on source website

JSON

To clipboard

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    "cve": {
      "cveNumber": "CVE-2016-9252"
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  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2017-33041",
  "openTime": "2017-11-08",
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  "patchName": "F5 BIG-IP systems Traffic Management Microkernel\u62d2\u7edd\u670d\u52a1\u6f0f\u6d1e\u7684\u8865\u4e01",
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      "F5 BIG-IP \u003c11.5.4 HF3",
      "F5 BIG-IP 11.6.*\uff0c\u003c11.6.1 HF2",
      "F5 BIG-IP 12.*\uff0c\u003c12.1.2"
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  "referenceLink": "https://support.f5.com/csp/article/K46535047",
  "serverity": "\u4e2d",
  "submitTime": "2017-10-04",
  "title": "F5 BIG-IP systems Traffic Management Microkernel\u62d2\u7edd\u670d\u52a1\u6f0f\u6d1e"
}

CVE-2016-9252 (GCVE-0-2016-9252)

Vulnerability from cvelistv5 – Published: 2017-03-27 18:00 – Updated: 2024-08-06 02:42

Summary

The Traffic Management Microkernel (TMM) in F5 BIG-IP before 11.5.4 HF3, 11.6.x before 11.6.1 HF2 and 12.x before 12.1.2 does not properly handle minimum path MTU options for IPv6, which allows remote attackers to cause a denial-of-service (DoS) through unspecified vectors.

Severity

No CVSS data available.

CWE

TMM data-plane

Assigner

f5 mitre root

References

2 references

URL	Tags
https://support.f5.com/csp/article/K46535047	x_refsource_CONFIRM
http://www.securitytracker.com/id/1038132	vdb-entryx_refsource_SECTRACK

Impacted products

1 product

Vendor	Product	Version
F5 Networks	F5 BIG-IP LTM, AAM, AFM, Analytics, APM, ASM, DNS, Edge Gateway, GTM, Link Controller, PEM, PSM, WebAccelerator, WebSafe	Affected: 10.2.1, 10.2.2, 10.2.3, 10.2.4, 11.2.1, 11.4.0, 11.4.1, 11.5.0, 11.5.1, 11.5.2, 11.5.3, 11.5.4, 11.6.0, 11.6.1, 12.0.0, 12.1.0, 12.1.1

Date Public

2017-03-23 00:00

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.