Vulnerability-Lookup

CNVD-2022-66498

Vulnerability from cnvd - Published: 2022-09-19

Title

Flower拒绝服务漏洞

Description

Flower是一款基于Web的、用于实时监控管理Celery分布式任务队列的工具。 Flower 2022年5月2日版本及之前版本存在拒绝服务漏洞，该漏洞源于容易受到OAuth身份验证绕过。攻击者可利用该漏洞通过关闭Celery任务节点来拒绝服务。

Severity

高

Formal description

厂商尚未提供漏洞修复方案，请关注厂商主页更新： https://github.com/mher/flower/pull/1216

Reference

https://tprynn.github.io/2022/05/26/flower-vulns.html

Impacted products

Name
Flower Flower <=2022年5月2日

Show details on source website

JSON

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{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2022-30034",
      "cveUrl": "https://nvd.nist.gov/vuln/detail/CVE-2022-30034"
    }
  },
  "description": "Flower\u662f\u4e00\u6b3e\u57fa\u4e8eWeb\u7684\u3001\u7528\u4e8e\u5b9e\u65f6\u76d1\u63a7\u7ba1\u7406Celery\u5206\u5e03\u5f0f\u4efb\u52a1\u961f\u5217\u7684\u5de5\u5177\u3002\n\nFlower 2022\u5e745\u67082\u65e5\u7248\u672c\u53ca\u4e4b\u524d\u7248\u672c\u5b58\u5728\u62d2\u7edd\u670d\u52a1\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u5bb9\u6613\u53d7\u5230OAuth\u8eab\u4efd\u9a8c\u8bc1\u7ed5\u8fc7\u3002\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u901a\u8fc7\u5173\u95edCelery\u4efb\u52a1\u8282\u70b9\u6765\u62d2\u7edd\u670d\u52a1\u3002",
  "formalWay": "\u5382\u5546\u5c1a\u672a\u63d0\u4f9b\u6f0f\u6d1e\u4fee\u590d\u65b9\u6848\uff0c\u8bf7\u5173\u6ce8\u5382\u5546\u4e3b\u9875\u66f4\u65b0\uff1a\r\nhttps://github.com/mher/flower/pull/1216",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2022-66498",
  "openTime": "2022-09-19",
  "products": {
    "product": "Flower Flower \u003c=2022\u5e745\u67082\u65e5"
  },
  "referenceLink": "https://tprynn.github.io/2022/05/26/flower-vulns.html",
  "serverity": "\u9ad8",
  "submitTime": "2022-06-09",
  "title": "Flower\u62d2\u7edd\u670d\u52a1\u6f0f\u6d1e"
}

CVE-2022-30034 (GCVE-0-2022-30034)

Vulnerability from cvelistv5 – Published: 2022-05-31 13:13 – Updated: 2026-07-09 00:19

Summary

Flower, a web UI for the Celery Python RPC framework, all versions as of 05-02-2022 is vulnerable to an OAuth authentication bypass. An attacker could then access the Flower API to discover and invoke arbitrary Celery RPC calls or deny service by shutting down Celery task nodes.

Severity

No CVSS data available.

CWE

Assigner

mitre CNA under the mitre root

CNA scorecard E 28/100 over 2350 records in the last 180 days details

References

2 references

URL	Tags
https://tprynn.github.io/2022/05/26/flower-vulns.html
https://github.com/mher/flower/issues/1217

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.

Vulnerability timeline

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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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