Vulnerability-Lookup

CNVD-2017-08605

Vulnerability from cnvd - Published: 2017-06-07

Title

Apache Zookeeper拒绝服务漏洞

Description

Apache Zookeeper是美国阿帕奇（Apache）软件基金会的一个软件项目，它能够为大型分布式计算提供开源的分布式配置服务、同步服务和命名注册等功能。 Apache Zookeeper中存在拒绝服务漏洞。攻击者可利用该漏洞造成拒绝服务。

Severity

中

Patch Name

Apache Zookeeper拒绝服务漏洞的补丁

Patch Description

Apache Zookeeper是美国阿帕奇（Apache）软件基金会的一个软件项目，它能够为大型分布式计算提供开源的分布式配置服务、同步服务和命名注册等功能。 Apache Zookeeper中存在拒绝服务漏洞。攻击者可利用该漏洞造成拒绝服务。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，详情请关注厂商主页： https://zookeeper.apache.org/

Reference

https://www.auscert.org.au/render.html?it=48398

Impacted products

Name
Apache Zookeeper

Show details on source website

JSON

To clipboard

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  "bids": {
    "bid": {
      "bidNumber": "98814"
    }
  },
  "cves": {
    "cve": {
      "cveNumber": "CVE-2017-5637"
    }
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  "discovererName": "Patrick Hunt",
  "formalWay": "\u76ee\u524d\u5382\u5546\u5df2\u53d1\u5e03\u5347\u7ea7\u8865\u4e01\u4ee5\u4fee\u590d\u6f0f\u6d1e\uff0c\u8be6\u60c5\u8bf7\u5173\u6ce8\u5382\u5546\u4e3b\u9875\uff1a\r\nhttps://zookeeper.apache.org/",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2017-08605",
  "openTime": "2017-06-07",
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  "patchName": "Apache Zookeeper\u62d2\u7edd\u670d\u52a1\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": "Apache Zookeeper"
  },
  "referenceLink": "https://www.auscert.org.au/render.html?it=48398",
  "serverity": "\u4e2d",
  "submitTime": "2017-06-06",
  "title": "Apache Zookeeper\u62d2\u7edd\u670d\u52a1\u6f0f\u6d1e"
}

CVE-2017-5637 (GCVE-0-2017-5637)

Vulnerability from cvelistv5 – Published: 2017-10-10 01:00 – Updated: 2024-09-17 00:16

Summary

Two four letter word commands "wchp/wchc" are CPU intensive and could cause spike of CPU utilization on Apache ZooKeeper server if abused, which leads to the server unable to serve legitimate client requests. Apache ZooKeeper thru version 3.4.9 and 3.5.2 suffer from this issue, fixed in 3.4.10, 3.5.3, and later.

Severity

No CVSS data available.

CWE

Assigner

apache mitre root

References

12 references

URL	Tags
https://lists.apache.org/thread.html/58170aeb7a68…	mailing-listx_refsource_MLIST
http://www.securityfocus.com/bid/98814	vdb-entryx_refsource_BID
https://access.redhat.com/errata/RHSA-2017:3355	vendor-advisoryx_refsource_REDHAT
https://access.redhat.com/errata/RHSA-2017:3354	vendor-advisoryx_refsource_REDHAT
https://access.redhat.com/errata/RHSA-2017:2477	vendor-advisoryx_refsource_REDHAT
http://www.debian.org/security/2017/dsa-3871	vendor-advisoryx_refsource_DEBIAN
https://lists.apache.org/thread.html/053d9ce4d579…	mailing-listx_refsource_MLIST
https://lists.apache.org/thread.html/bcce5a9c532b…	mailing-listx_refsource_MLIST
https://lists.apache.org/thread.html/rca37935d661…	mailing-listx_refsource_MLIST
https://www.oracle.com/security-alerts/cpujul2020.html	x_refsource_MISC
https://issues.apache.org/jira/browse/ZOOKEEPER-2693	x_refsource_CONFIRM
https://www.oracle.com//security-alerts/cpujul2021.html	x_refsource_MISC

Impacted products

1 product

Vendor	Product	Version
Apache Software Foundation	Apache ZooKeeper	Affected: 3.4.0 to 3.4.9 Affected: 3.5.0 to 3.5.2

Date Public

2017-10-09 00:00

Show details on NVD website

JSON

To clipboard

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          "tags": [
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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.