Vulnerability-Lookup

CNVD-2017-32704

Vulnerability from cnvd - Published: 2017-11-03

Title

Extreme EXOS会话劫持漏洞

Description

Extreme EXOS是美国极进网络（Extreme Networks）公司的一套新一代模块化交换机操作系统。 Extreme EXOS中存在会话劫持漏洞。远程攻击者可通过确定SessionID值利用该漏洞劫持会话。

Severity

高

Patch Name

Extreme EXOS会话劫持漏洞的补丁

Patch Description

Extreme EXOS是美国极进网络（Extreme Networks）公司的一套新一代模块化交换机操作系统。 Extreme EXOS中存在会话劫持漏洞。远程攻击者可通过确定SessionID值利用该漏洞劫持会话。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://extremeportal.force.com/ExtrArticleDetail?n=000017765

Reference

https://nvd.nist.gov/vuln/detail/CVE-2017-14332

Impacted products

Name
['Extreme Networks EXOS 16.x', 'Extreme Networks EXOS 21.x', 'Extreme Networks EXOS 22.x', 'Extreme Networks EXOS 15.7']

Show details on source website

JSON

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  "discovererName": "Extreme Networks",
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  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2017-32704",
  "openTime": "2017-11-03",
  "patchDescription": "Extreme EXOS\u662f\u7f8e\u56fd\u6781\u8fdb\u7f51\u7edc\uff08Extreme Networks\uff09\u516c\u53f8\u7684\u4e00\u5957\u65b0\u4e00\u4ee3\u6a21\u5757\u5316\u4ea4\u6362\u673a\u64cd\u4f5c\u7cfb\u7edf\u3002\r\n\r\nExtreme EXOS\u4e2d\u5b58\u5728\u4f1a\u8bdd\u52ab\u6301\u6f0f\u6d1e\u3002\u8fdc\u7a0b\u653b\u51fb\u8005\u53ef\u901a\u8fc7\u786e\u5b9aSessionID\u503c\u5229\u7528\u8be5\u6f0f\u6d1e\u52ab\u6301\u4f1a\u8bdd\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": "Extreme EXOS\u4f1a\u8bdd\u52ab\u6301\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": [
      "Extreme Networks EXOS 16.x",
      "Extreme Networks EXOS 21.x",
      "Extreme Networks EXOS 22.x",
      "Extreme Networks EXOS 15.7"
    ]
  },
  "referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2017-14332",
  "serverity": "\u9ad8",
  "submitTime": "2017-10-23",
  "title": "Extreme EXOS\u4f1a\u8bdd\u52ab\u6301\u6f0f\u6d1e"
}

CVE-2017-14332 (GCVE-0-2017-14332)

Vulnerability from cvelistv5 – Published: 2017-10-23 08:00 – Updated: 2024-08-05 19:20

Summary

Extreme EXOS 15.7, 16.x, 21.x, and 22.x allows remote attackers to hijack sessions by determining SessionID values.

Severity

No CVSS data available.

CWE

Assigner

mitre CNA under the mitre root

CNA scorecard E 28/100 over 2319 records in the last 180 days details

References

1 reference

URL	Tags
https://extremeportal.force.com/ExtrArticleDetail…	x_refsource_CONFIRM

Date Public

2017-10-23 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.

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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.

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