Vulnerability-Lookup

CNVD-2022-69475

Vulnerability from cnvd - Published: 2022-10-18

Title

Apache Tapestry拒绝服务漏洞（CNVD-2022-69475）

Description

Apache Tapestry是美国阿帕奇（Apache）基金会的一款使用Java语言编写的Web应用程序框架。 Apache Tapestry 5.8.1之前版本存在拒绝服务漏洞，该漏洞源于在处理内容类型的方式上容易存在不当的正则表达式，攻击者可利用该漏洞导致拒绝服务(ReDoS)攻击。

Severity

高

Patch Name

Apache Tapestry拒绝服务漏洞（CNVD-2022-69475）的补丁

Patch Description

Apache Tapestry是美国阿帕奇（Apache）基金会的一款使用Java语言编写的Web应用程序框架。 Apache Tapestry 5.8.1之前版本存在拒绝服务漏洞，该漏洞源于在处理内容类型的方式上容易存在不当的正则表达式，攻击者可利用该漏洞导致拒绝服务(ReDoS)攻击。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

厂商已发布了漏洞修复程序，请及时关注更新： https://tapestry.apache.org/2022/06/20/tapestry-582-released.html

Reference

https://www.openwall.com/lists/oss-security/2022/07/12/3

Impacted products

Name
Apache Apache Tapestry <5.8.1

Show details on source website

JSON

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    "cve": {
      "cveNumber": "CVE-2022-31781",
      "cveUrl": "https://nvd.nist.gov/vuln/detail/CVE-2022-31781"
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  "formalWay": "\u5382\u5546\u5df2\u53d1\u5e03\u4e86\u6f0f\u6d1e\u4fee\u590d\u7a0b\u5e8f\uff0c\u8bf7\u53ca\u65f6\u5173\u6ce8\u66f4\u65b0\uff1a\r\nhttps://tapestry.apache.org/2022/06/20/tapestry-582-released.html",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2022-69475",
  "openTime": "2022-10-18",
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  "patchName": "Apache Tapestry\u62d2\u7edd\u670d\u52a1\u6f0f\u6d1e\uff08CNVD-2022-69475\uff09\u7684\u8865\u4e01",
  "products": {
    "product": "Apache Apache Tapestry \u003c5.8.1"
  },
  "referenceLink": "https://www.openwall.com/lists/oss-security/2022/07/12/3",
  "serverity": "\u9ad8",
  "submitTime": "2022-07-15",
  "title": "Apache Tapestry\u62d2\u7edd\u670d\u52a1\u6f0f\u6d1e\uff08CNVD-2022-69475\uff09"
}

CVE-2022-31781 (GCVE-0-2022-31781)

Vulnerability from cvelistv5 – Published: 2022-07-13 07:25 – Updated: 2024-08-03 07:26

Title

Regular Expression Denial of Service (ReDoS) in ContentType.java. (GHSL-2022-022)

Summary

Apache Tapestry up to version 5.8.1 is vulnerable to Regular Expression Denial of Service (ReDoS) in the way it handles Content Types. Specially crafted Content Types may cause catastrophic backtracking, taking exponential time to complete. Specifically, this is about the regular expression used on the parameter of the org.apache.tapestry5.http.ContentType class. Apache Tapestry 5.8.2 has a fix for this vulnerability. Notice the vulnerability cannot be triggered by web requests in Tapestry code alone. It would only happen if there's some non-Tapestry codepath passing some outside input to the ContentType class constructor.

Severity

No CVSS data available.

CWE

CWE-1333 - Inefficient Regular Expression Complexity

Assigner

apache mitre root

References

1 reference

URL	Tags
https://www.openwall.com/lists/oss-security/2022/…	x_refsource_MISC

Impacted products

1 product

Vendor	Product	Version
Apache Software Foundation	Apache Tapestry	Affected: 5.8.1 , < 5.8.1 (custom)

Credits

CodeQL team members [@atorralba (Tony Torralba)](https://github.com/atorralba) and [@joefarebrother (Joseph Farebrother)](https://github.com/joefarebrother).

Show details on NVD website

JSON

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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.