CNVD-2020-51560

Vulnerability from cnvd - Published: 2020-09-11
VLAI
Title
VMware Spring Batch代码执行漏洞
Description
VMware Spring Batch是美国威睿(VMware)公司的一款用于大量数据并行处理的轻量级框架。 VMware Spring Batch 4.0.0版本至4.0.4版本、4.1.0版本至4.1.4版本和4.2.0版本至4.2.2版本中的Jackson配置存在代码执行漏洞,攻击者可利用该漏洞执行任意代码。
Severity
Patch Name
VMware Spring Batch代码执行漏洞的补丁
Patch Description
VMware Spring Batch是美国威睿(VMware)公司的一款用于大量数据并行处理的轻量级框架。 VMware Spring Batch 4.0.0版本至4.0.4版本、4.1.0版本至4.1.4版本和4.2.0版本至4.2.2版本中的Jackson配置存在代码执行漏洞,攻击者可利用该漏洞执行任意代码。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://tanzu.vmware.com/security/cve-2020-5411

Reference
https://nvd.nist.gov/vuln/detail/CVE-2020-5411
Impacted products
Name
['VMware Spring Batch >=4.0.0,<=4.0.4', 'VMware Spring Batch >=4.1.0,<=4.1.4', 'VMware Spring Batch >=4.2.0,<=4.2.2']
Show details on source website

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2020-5411"
    }
  },
  "description": "VMware Spring Batch\u662f\u7f8e\u56fd\u5a01\u777f\uff08VMware\uff09\u516c\u53f8\u7684\u4e00\u6b3e\u7528\u4e8e\u5927\u91cf\u6570\u636e\u5e76\u884c\u5904\u7406\u7684\u8f7b\u91cf\u7ea7\u6846\u67b6\u3002\n\nVMware Spring Batch 4.0.0\u7248\u672c\u81f34.0.4\u7248\u672c\u30014.1.0\u7248\u672c\u81f34.1.4\u7248\u672c\u548c4.2.0\u7248\u672c\u81f34.2.2\u7248\u672c\u4e2d\u7684Jackson\u914d\u7f6e\u5b58\u5728\u4ee3\u7801\u6267\u884c\u6f0f\u6d1e\uff0c\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u6267\u884c\u4efb\u610f\u4ee3\u7801\u3002",
  "formalWay": "\u5382\u5546\u5df2\u53d1\u5e03\u4e86\u6f0f\u6d1e\u4fee\u590d\u7a0b\u5e8f\uff0c\u8bf7\u53ca\u65f6\u5173\u6ce8\u66f4\u65b0\uff1a\r\nhttps://tanzu.vmware.com/security/cve-2020-5411",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2020-51560",
  "openTime": "2020-09-11",
  "patchDescription": "VMware Spring Batch\u662f\u7f8e\u56fd\u5a01\u777f\uff08VMware\uff09\u516c\u53f8\u7684\u4e00\u6b3e\u7528\u4e8e\u5927\u91cf\u6570\u636e\u5e76\u884c\u5904\u7406\u7684\u8f7b\u91cf\u7ea7\u6846\u67b6\u3002\r\n\r\nVMware Spring Batch 4.0.0\u7248\u672c\u81f34.0.4\u7248\u672c\u30014.1.0\u7248\u672c\u81f34.1.4\u7248\u672c\u548c4.2.0\u7248\u672c\u81f34.2.2\u7248\u672c\u4e2d\u7684Jackson\u914d\u7f6e\u5b58\u5728\u4ee3\u7801\u6267\u884c\u6f0f\u6d1e\uff0c\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u6267\u884c\u4efb\u610f\u4ee3\u7801\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": "VMware Spring Batch\u4ee3\u7801\u6267\u884c\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": [
      "VMware Spring Batch \u003e=4.0.0\uff0c\u003c=4.0.4",
      "VMware Spring Batch \u003e=4.1.0\uff0c\u003c=4.1.4",
      "VMware Spring Batch \u003e=4.2.0\uff0c\u003c=4.2.2"
    ]
  },
  "referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2020-5411",
  "serverity": "\u4e2d",
  "submitTime": "2020-06-12",
  "title": "VMware Spring Batch\u4ee3\u7801\u6267\u884c\u6f0f\u6d1e"
}



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Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.

Sightings

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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.

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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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