Vulnerability-Lookup

CNVD-2020-11657

Vulnerability from cnvd - Published: 2020-02-21

Title

CloudBees Jenkins SCTMExecutor Plugin凭证泄露漏洞

Description

CloudBees Jenkins（Hudson Labs）是美国CloudBees公司的一套基于Java开发的持续集成工具。 CloudBees Jenkins SCTMExecutor Plugin 2.2及之前版本中存在泄露凭证漏洞，该漏洞源于程序将磁盘上存储的加密凭证通过配置表单以明文的形式进行传递。攻击者可利用该漏洞泄露凭证。

Severity

中

Formal description

目前厂商尚未发布相关漏洞补丁链接，请关注网址随时更新： https://nvd.nist.gov/vuln/detail/CVE-2019-16568

Reference

https://nvd.nist.gov/vuln/detail/CVE-2019-16568

Impacted products

Name
CloudBees CloudBees Jenkins SCTMExecutor Plugin <=2.2

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JSON

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    "cve": {
      "cveNumber": "CVE-2019-16568",
      "cveUrl": "https://nvd.nist.gov/vuln/detail/CVE-2019-16568"
    }
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  "formalWay": "\u76ee\u524d\u5382\u5546\u5c1a\u672a\u53d1\u5e03\u76f8\u5173\u6f0f\u6d1e\u8865\u4e01\u94fe\u63a5\uff0c\u8bf7\u5173\u6ce8\u7f51\u5740\u968f\u65f6\u66f4\u65b0\uff1a\r\nhttps://nvd.nist.gov/vuln/detail/CVE-2019-16568",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2020-11657",
  "openTime": "2020-02-21",
  "products": {
    "product": "CloudBees CloudBees Jenkins SCTMExecutor Plugin \u003c=2.2"
  },
  "referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2019-16568",
  "serverity": "\u4e2d",
  "submitTime": "2019-12-23",
  "title": "CloudBees Jenkins SCTMExecutor Plugin\u51ed\u8bc1\u6cc4\u9732\u6f0f\u6d1e"
}

CVE-2019-16568 (GCVE-0-2019-16568)

Vulnerability from cvelistv5 – Published: 2019-12-17 14:40 – Updated: 2024-08-05 01:17

Summary

Jenkins SCTMExecutor Plugin 2.2 and earlier transmits previously configured service credentials in plain text as part of the global configuration, as well as individual jobs' configurations.

Severity

No CVSS data available.

Assigner

jenkins mitre root

References

2 references

URL	Tags
https://jenkins.io/security/advisory/2019-12-17/#…	x_refsource_CONFIRM
http://www.openwall.com/lists/oss-security/2019/12/17/1	mailing-listx_refsource_MLIST

Impacted products

1 product

Vendor	Product	Version
Jenkins project	Jenkins SCTMExecutor Plugin	Affected: unspecified , ≤ 2.2 (custom) Unknown: next of 2.2 , < unspecified (custom)

Show details on NVD website

JSON

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          "dateUpdated": "2024-08-05T01:17:40.841Z",
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        "title": "CVE Program Container"
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        }
      ],
      "providerMetadata": {
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        "orgId": "39769cd5-e6e2-4dc8-927e-97b3aa056f5b",
        "shortName": "jenkins"
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      ],
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    "dateReserved": "2019-09-20T00:00:00.000Z",
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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.

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.