Vulnerability-Lookup

CNVD-2019-09846

Vulnerability from cnvd - Published: 2019-04-12

Title

CloudBees Jenkins Resource Disposer Plugin跨站请求伪造漏洞

Description

CloudBees Jenkins是美国CloudBees公司的一套基于Java开发的持续集成工具，它主要用于监控持续的软件版本发布/测试项目和一些定时执行的任务。Resource Disposer Plugin是使用在其中的一个资源处理器插件。 CloudBees Jenkins Resource Disposer Plugin 0.11及之前版本中的AsyncResourceDisposer.java文件存在跨站请求伪造漏洞，该漏洞源于程序未能对API端点执行权限检测，远程攻击者可利用该漏洞执行恶意操作。

Severity

中

Patch Name

CloudBees Jenkins Resource Disposer Plugin跨站请求伪造漏洞的补丁

Patch Description

Formal description

厂商已发布了漏洞修复程序，请及时关注更新： https://jenkins.io/security/advisory/2018-07-30/#SECURITY-997

Reference

https://jenkins.io/security/advisory/2018-07-30/#SECURITY-997

Impacted products

Name
CloudBees Jenkins Resource Disposer Plugin <=0.11

Show details on source website

JSON

To clipboard

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2018-1999037",
      "cveUrl": "http://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2018-1999037"
    }
  },
  "description": "CloudBees Jenkins\u662f\u7f8e\u56fdCloudBees\u516c\u53f8\u7684\u4e00\u5957\u57fa\u4e8eJava\u5f00\u53d1\u7684\u6301\u7eed\u96c6\u6210\u5de5\u5177\uff0c\u5b83\u4e3b\u8981\u7528\u4e8e\u76d1\u63a7\u6301\u7eed\u7684\u8f6f\u4ef6\u7248\u672c\u53d1\u5e03/\u6d4b\u8bd5\u9879\u76ee\u548c\u4e00\u4e9b\u5b9a\u65f6\u6267\u884c\u7684\u4efb\u52a1\u3002Resource Disposer Plugin\u662f\u4f7f\u7528\u5728\u5176\u4e2d\u7684\u4e00\u4e2a\u8d44\u6e90\u5904\u7406\u5668\u63d2\u4ef6\u3002\n\nCloudBees Jenkins Resource Disposer Plugin 0.11\u53ca\u4e4b\u524d\u7248\u672c\u4e2d\u7684AsyncResourceDisposer.java\u6587\u4ef6\u5b58\u5728\u8de8\u7ad9\u8bf7\u6c42\u4f2a\u9020\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u7a0b\u5e8f\u672a\u80fd\u5bf9API\u7aef\u70b9\u6267\u884c\u6743\u9650\u68c0\u6d4b\uff0c\u8fdc\u7a0b\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u6267\u884c\u6076\u610f\u64cd\u4f5c\u3002",
  "discovererName": "unknown",
  "formalWay": "\u5382\u5546\u5df2\u53d1\u5e03\u4e86\u6f0f\u6d1e\u4fee\u590d\u7a0b\u5e8f\uff0c\u8bf7\u53ca\u65f6\u5173\u6ce8\u66f4\u65b0\uff1a\r\nhttps://jenkins.io/security/advisory/2018-07-30/#SECURITY-997",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2019-09846",
  "openTime": "2019-04-12",
  "patchDescription": "CloudBees Jenkins\u662f\u7f8e\u56fdCloudBees\u516c\u53f8\u7684\u4e00\u5957\u57fa\u4e8eJava\u5f00\u53d1\u7684\u6301\u7eed\u96c6\u6210\u5de5\u5177\uff0c\u5b83\u4e3b\u8981\u7528\u4e8e\u76d1\u63a7\u6301\u7eed\u7684\u8f6f\u4ef6\u7248\u672c\u53d1\u5e03/\u6d4b\u8bd5\u9879\u76ee\u548c\u4e00\u4e9b\u5b9a\u65f6\u6267\u884c\u7684\u4efb\u52a1\u3002Resource Disposer Plugin\u662f\u4f7f\u7528\u5728\u5176\u4e2d\u7684\u4e00\u4e2a\u8d44\u6e90\u5904\u7406\u5668\u63d2\u4ef6\u3002\r\n\r\nCloudBees Jenkins Resource Disposer Plugin 0.11\u53ca\u4e4b\u524d\u7248\u672c\u4e2d\u7684AsyncResourceDisposer.java\u6587\u4ef6\u5b58\u5728\u8de8\u7ad9\u8bf7\u6c42\u4f2a\u9020\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u7a0b\u5e8f\u672a\u80fd\u5bf9API\u7aef\u70b9\u6267\u884c\u6743\u9650\u68c0\u6d4b\uff0c\u8fdc\u7a0b\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u6267\u884c\u6076\u610f\u64cd\u4f5c\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": "CloudBees Jenkins Resource Disposer Plugin\u8de8\u7ad9\u8bf7\u6c42\u4f2a\u9020\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": "CloudBees Jenkins Resource Disposer Plugin \u003c=0.11"
  },
  "referenceLink": "https://jenkins.io/security/advisory/2018-07-30/#SECURITY-997",
  "serverity": "\u4e2d",
  "submitTime": "2018-08-08",
  "title": "CloudBees Jenkins Resource Disposer Plugin\u8de8\u7ad9\u8bf7\u6c42\u4f2a\u9020\u6f0f\u6d1e"
}

CVE-2018-1999037 (GCVE-0-2018-1999037)

Vulnerability from cvelistv5 – Published: 2018-08-01 13:00 – Updated: 2024-09-16 16:33

Summary

A data modification vulnerability exists in Jenkins Resource Disposer Plugin 0.11 and earlier in AsyncResourceDisposer.java that allows attackers to stop tracking a resource.

Severity

No CVSS data available.

CWE

Assigner

mitre CNA under the mitre root

CNA scorecard E 28/100 over 2263 records in the last 180 days details

References

1 reference

URL	Tags
https://jenkins.io/security/advisory/2018-07-30/#…	x_refsource_CONFIRM

Show details on NVD website

JSON

To clipboard

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            "url": "https://jenkins.io/security/advisory/2018-07-30/#SECURITY-997"
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            "vendor_data": [
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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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