Vulnerability-Lookup

CNVD-2019-28231

Vulnerability from cnvd - Published: 2019-08-21

Title

CloudBees Jenkins Mask Passwords Plugin加密问题漏洞

Description

CloudBees Jenkins是一个开源软件项目，是基于Java开发的一种持续集成工具，用于监控持续重复的工作，旨在提供一个开放易用的软件平台。 CloudBees Jenkins Mask Passwords Plugin存在加密问题漏洞，该漏洞源于网络系统或产品未能正确使用相关密码算法，攻击者可利用该漏洞获取敏感信息。

Severity

中

Formal description

厂商尚未提供漏洞修复方案，请关注厂商主页更新： https://jenkins.io/

Reference

https://jenkins.io/security/advisory/2019-08-07/ http://cve.mitre.org/cgi-bin/cvename.cgi?name=2019-10370

Impacted products

Name
CloudBees Jenkins Mask Passwords Plugin <=2.12.0

Show details on source website

JSON

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{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2019-10370",
      "cveUrl": "https://nvd.nist.gov/vuln/detail/CVE-2019-10370"
    }
  },
  "description": "CloudBees Jenkins\u662f\u4e00\u4e2a\u5f00\u6e90\u8f6f\u4ef6\u9879\u76ee\uff0c\u662f\u57fa\u4e8eJava\u5f00\u53d1\u7684\u4e00\u79cd\u6301\u7eed\u96c6\u6210\u5de5\u5177\uff0c\u7528\u4e8e\u76d1\u63a7\u6301\u7eed\u91cd\u590d\u7684\u5de5\u4f5c\uff0c\u65e8\u5728\u63d0\u4f9b\u4e00\u4e2a\u5f00\u653e\u6613\u7528\u7684\u8f6f\u4ef6\u5e73\u53f0\u3002\n\nCloudBees Jenkins Mask Passwords Plugin\u5b58\u5728\u52a0\u5bc6\u95ee\u9898\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u7f51\u7edc\u7cfb\u7edf\u6216\u4ea7\u54c1\u672a\u80fd\u6b63\u786e\u4f7f\u7528\u76f8\u5173\u5bc6\u7801\u7b97\u6cd5\uff0c\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u83b7\u53d6\u654f\u611f\u4fe1\u606f\u3002",
  "discovererName": "Daniel Beck",
  "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://jenkins.io/",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2019-28231",
  "openTime": "2019-08-21",
  "products": {
    "product": "CloudBees Jenkins Mask Passwords Plugin \u003c=2.12.0"
  },
  "referenceLink": "https://jenkins.io/security/advisory/2019-08-07/ \r\nhttp://cve.mitre.org/cgi-bin/cvename.cgi?name=2019-10370",
  "serverity": "\u4e2d",
  "submitTime": "2019-08-09",
  "title": "CloudBees Jenkins Mask Passwords Plugin\u52a0\u5bc6\u95ee\u9898\u6f0f\u6d1e"
}

CVE-2019-10370 (GCVE-0-2019-10370)

Vulnerability from cvelistv5 – Published: 2019-08-07 14:20 – Updated: 2024-08-04 22:17

Summary

Jenkins Mask Passwords Plugin 2.12.0 and earlier transmits globally configured passwords in plain text as part of the configuration form, potentially resulting in their exposure.

Severity

No CVSS data available.

Assigner

jenkins mitre root

References

2 references

URL	Tags
http://www.openwall.com/lists/oss-security/2019/08/07/1	mailing-listx_refsource_MLIST
https://jenkins.io/security/advisory/2019-08-07/#…	x_refsource_CONFIRM

Impacted products

1 product

Vendor	Product	Version
Jenkins project	Jenkins Mask Passwords Plugin	Affected: 2.12.0 and earlier

Show details on NVD website

JSON

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            "url": "https://jenkins.io/security/advisory/2019-08-07/#SECURITY-157"
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        ],
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          "product": "Jenkins Mask Passwords Plugin",
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        "dateUpdated": "2023-10-24T16:48:18.324Z",
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          ],
          "url": "https://jenkins.io/security/advisory/2019-08-07/#SECURITY-157"
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          "ID": "CVE-2019-10370",
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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.