Vulnerability-Lookup

CNVD-2017-35149

Vulnerability from cnvd - Published: 2017-11-27

Title

F5 BIG-IP PEM中间人攻击漏洞

Description

F5 BIG-IP是美国F5公司的一款集成了网络流量管理、应用程序安全管理、负载均衡等功能的多合一网络设备。PEM是其中的一款策略执行管理器。 F5 BIG-IP PEM 12.1.0版本至12.1.2版本中存在安全漏洞，该漏洞源于在通过HTTPS下载Type Allocation Code (TAC)数据库文件时，程序未能验证服务器的证书。攻击者可利用该漏洞实施中间人攻击，篡改数据或获取信息。

Severity

中

Patch Name

F5 BIG-IP PEM中间人攻击漏洞的补丁

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://support.f5.com/csp/article/K81601350

Reference

https://nvd.nist.gov/vuln/detail/CVE-2017-6144

Impacted products

Name
F5 BIG-IP PEM >=12.1.0，<=12.1.2

Show details on source website

JSON

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{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2017-6144"
    }
  },
  "description": "F5 BIG-IP\u662f\u7f8e\u56fdF5\u516c\u53f8\u7684\u4e00\u6b3e\u96c6\u6210\u4e86\u7f51\u7edc\u6d41\u91cf\u7ba1\u7406\u3001\u5e94\u7528\u7a0b\u5e8f\u5b89\u5168\u7ba1\u7406\u3001\u8d1f\u8f7d\u5747\u8861\u7b49\u529f\u80fd\u7684\u591a\u5408\u4e00\u7f51\u7edc\u8bbe\u5907\u3002PEM\u662f\u5176\u4e2d\u7684\u4e00\u6b3e\u7b56\u7565\u6267\u884c\u7ba1\u7406\u5668\u3002\r\n\r\nF5 BIG-IP PEM 12.1.0\u7248\u672c\u81f312.1.2\u7248\u672c\u4e2d\u5b58\u5728\u5b89\u5168\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u5728\u901a\u8fc7HTTPS\u4e0b\u8f7dType Allocation Code (TAC)\u6570\u636e\u5e93\u6587\u4ef6\u65f6\uff0c\u7a0b\u5e8f\u672a\u80fd\u9a8c\u8bc1\u670d\u52a1\u5668\u7684\u8bc1\u4e66\u3002\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u5b9e\u65bd\u4e2d\u95f4\u4eba\u653b\u51fb\uff0c\u7be1\u6539\u6570\u636e\u6216\u83b7\u53d6\u4fe1\u606f\u3002",
  "discovererName": "unknown",
  "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://support.f5.com/csp/article/K81601350",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2017-35149",
  "openTime": "2017-11-27",
  "patchDescription": "F5 BIG-IP\u662f\u7f8e\u56fdF5\u516c\u53f8\u7684\u4e00\u6b3e\u96c6\u6210\u4e86\u7f51\u7edc\u6d41\u91cf\u7ba1\u7406\u3001\u5e94\u7528\u7a0b\u5e8f\u5b89\u5168\u7ba1\u7406\u3001\u8d1f\u8f7d\u5747\u8861\u7b49\u529f\u80fd\u7684\u591a\u5408\u4e00\u7f51\u7edc\u8bbe\u5907\u3002PEM\u662f\u5176\u4e2d\u7684\u4e00\u6b3e\u7b56\u7565\u6267\u884c\u7ba1\u7406\u5668\u3002\r\n\r\nF5 BIG-IP PEM 12.1.0\u7248\u672c\u81f312.1.2\u7248\u672c\u4e2d\u5b58\u5728\u5b89\u5168\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u5728\u901a\u8fc7HTTPS\u4e0b\u8f7dType Allocation Code (TAC)\u6570\u636e\u5e93\u6587\u4ef6\u65f6\uff0c\u7a0b\u5e8f\u672a\u80fd\u9a8c\u8bc1\u670d\u52a1\u5668\u7684\u8bc1\u4e66\u3002\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u5b9e\u65bd\u4e2d\u95f4\u4eba\u653b\u51fb\uff0c\u7be1\u6539\u6570\u636e\u6216\u83b7\u53d6\u4fe1\u606f\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": "F5 BIG-IP PEM\u4e2d\u95f4\u4eba\u653b\u51fb\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": "F5 BIG-IP PEM \u003e=12.1.0\uff0c\u003c=12.1.2"
  },
  "referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2017-6144",
  "serverity": "\u4e2d",
  "submitTime": "2017-10-23",
  "title": "F5 BIG-IP PEM\u4e2d\u95f4\u4eba\u653b\u51fb\u6f0f\u6d1e"
}

CVE-2017-6144 (GCVE-0-2017-6144)

Vulnerability from cvelistv5 – Published: 2017-10-20 15:00 – Updated: 2024-09-17 00:40

Summary

In F5 BIG-IP PEM 12.1.0 through 12.1.2 when downloading the Type Allocation Code (TAC) database file via HTTPS, the server's certificate is not verified. Attackers in a privileged network position may be able to launch a man-in-the-middle attack against these connections. TAC databases are used in BIG-IP PEM for Device Type and OS (DTOS) and Tethering detection. Customers not using BIG-IP PEM, not configuring downloads of TAC database files, or not using HTTP for that download are not affected.

Severity

No CVSS data available.

CWE

Certificate verification vulnerability

Assigner

f5 mitre root

References

1 reference

URL	Tags
https://support.f5.com/csp/article/K81601350	x_refsource_CONFIRM

Impacted products

1 product

Vendor	Product	Version
F5 Networks, Inc.	F5 BIG-IP PEM	Affected: 12.1.0 through 12.1.2

Date Public

2017-07-12 00:00

Show details on NVD website

JSON

To clipboard

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        ],
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      }
    ],
    "cna": {
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          "product": "F5 BIG-IP PEM",
          "vendor": "F5 Networks, Inc.",
          "versions": [
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        }
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        },
        "affects": {
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            "vendor_data": [
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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.