Vulnerability-Lookup

CNVD-2022-21483

Vulnerability from cnvd - Published: 2022-03-22

Title

Waitress环境问题漏洞（CNVD-2022-21483）

Description

Waitress是一款用于Python的WSGI（Web服务器网关接口）服务器。 Waitress 2.1.0及其之前版本存在环境问题漏洞，该漏洞源于软件代理无法正确验证传入的 HTTP请求是否符合标准，该漏洞允许通过前端代理走私到Waitress和其之后的行为。目前没有详细的漏洞细节提供。

Severity

高

Patch Name

Waitress环境问题漏洞（CNVD-2022-21483）的补丁

Patch Description

Waitress是一款用于Python的WSGI（Web服务器网关接口）服务器。 Waitress 2.1.0及其之前版本存在环境问题漏洞，该漏洞源于软件代理无法正确验证传入的 HTTP请求是否符合标准，该漏洞允许通过前端代理走私到Waitress和其之后的行为。目前没有详细的漏洞细节提供。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://github.com/Pylons/waitress/security/advisories/GHSA-4f7p-27jc-3c36

Reference

https://nvd.nist.gov/vuln/detail/CVE-2022-24761

Impacted products

Name
Waitress Waitress <=2.1.0

Show details on source website

JSON

To clipboard

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      "cveNumber": "CVE-2022-24761"
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  "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://github.com/Pylons/waitress/security/advisories/GHSA-4f7p-27jc-3c36",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2022-21483",
  "openTime": "2022-03-22",
  "patchDescription": "Waitress\u662f\u4e00\u6b3e\u7528\u4e8ePython\u7684WSGI\uff08Web\u670d\u52a1\u5668\u7f51\u5173\u63a5\u53e3\uff09\u670d\u52a1\u5668\u3002\r\n\r\nWaitress 2.1.0\u53ca\u5176\u4e4b\u524d\u7248\u672c\u5b58\u5728\u73af\u5883\u95ee\u9898\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u8f6f\u4ef6\u4ee3\u7406\u65e0\u6cd5\u6b63\u786e\u9a8c\u8bc1\u4f20\u5165\u7684 HTTP\u8bf7\u6c42\u662f\u5426\u7b26\u5408\u6807\u51c6\uff0c\u8be5\u6f0f\u6d1e\u5141\u8bb8\u901a\u8fc7\u524d\u7aef\u4ee3\u7406\u8d70\u79c1\u5230Waitress\u548c\u5176\u4e4b\u540e\u7684\u884c\u4e3a\u3002\u76ee\u524d\u6ca1\u6709\u8be6\u7ec6\u7684\u6f0f\u6d1e\u7ec6\u8282\u63d0\u4f9b\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": "Waitress\u73af\u5883\u95ee\u9898\u6f0f\u6d1e\uff08CNVD-2022-21483\uff09\u7684\u8865\u4e01",
  "products": {
    "product": "Waitress Waitress \u003c=2.1.0"
  },
  "referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2022-24761",
  "serverity": "\u9ad8",
  "submitTime": "2022-03-18",
  "title": "Waitress\u73af\u5883\u95ee\u9898\u6f0f\u6d1e\uff08CNVD-2022-21483\uff09"
}

CVE-2022-24761 (GCVE-0-2022-24761)

Vulnerability from cvelistv5 – Published: 2022-03-17 12:40 – Updated: 2025-04-23 18:46

Title

HTTP Request Smuggling in waitress

Summary

Waitress is a Web Server Gateway Interface server for Python 2 and 3. When using Waitress versions 2.1.0 and prior behind a proxy that does not properly validate the incoming HTTP request matches the RFC7230 standard, Waitress and the frontend proxy may disagree on where one request starts and where it ends. This would allow requests to be smuggled via the front-end proxy to waitress and later behavior. There are two classes of vulnerability that may lead to request smuggling that are addressed by this advisory: The use of Python's `int()` to parse strings into integers, leading to `+10` to be parsed as `10`, or `0x01` to be parsed as `1`, where as the standard specifies that the string should contain only digits or hex digits; and Waitress does not support chunk extensions, however it was discarding them without validating that they did not contain illegal characters. This vulnerability has been patched in Waitress 2.1.1. A workaround is available. When deploying a proxy in front of waitress, turning on any and all functionality to make sure that the request matches the RFC7230 standard. Certain proxy servers may not have this functionality though and users are encouraged to upgrade to the latest version of waitress instead.

Severity

7.5 (High)


                        
                          CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:H/A:N

SSVC

Exploitation: none Automatable: yes Technical Impact: partial

CISA Coordinator · CISA-ADP (v2.0.3)

Decision recorded 2025-04-23 15:56 UTC

CWE

CWE-444 - Inconsistent Interpretation of HTTP Requests ('HTTP Request Smuggling')

Assigner

GitHub_M CNA under the mitre root

CNA scorecard C 72/100 over 7630 records in the last 180 days details

References

5 references

URL	Tags
https://github.com/Pylons/waitress/security/advis…	x_refsource_CONFIRM
https://github.com/Pylons/waitress/commit/9e0b8c8…	x_refsource_MISC
https://github.com/Pylons/waitress/releases/tag/v2.1.1	x_refsource_MISC
https://lists.debian.org/debian-lts-announce/2022…	mailing-listx_refsource_MLIST
https://www.debian.org/security/2022/dsa-5138	vendor-advisoryx_refsource_DEBIAN

Impacted products

1 product

Vendor	Product	Version
Pylons	waitress	Affected: < 2.1.1

Show details on NVD website

JSON

To clipboard

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        ],
        "title": "CVE Program Container"
      },
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        "metrics": [
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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.

Vulnerability timeline

Sightings and recorded dates, grouped by day · UTC

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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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