CNVD-2022-08191

Vulnerability from cnvd - Published: 2022-02-01
VLAI
Title
Apache ShenYu代码注入漏洞
Description
Apache ShenYu是美国阿帕奇(Apache)基金会的一个异步的,高性能的,跨语言的,响应式的API网关。 Apache ShenYu在2.4.0和2.4.1版本存在代码注入漏洞,该漏洞源于网络系统或产品的代码开发过程中存在设计或实现不当的问题。攻击者可利用该漏洞导致远程代码执行的Groovy代码注入和SpEL注入。
Severity
高
Patch Name
Apache ShenYu代码注入漏洞的补丁
Patch Description
Apache ShenYu是美国阿帕奇(Apache)基金会的一个异步的,高性能的,跨语言的,响应式的API网关。 Apache ShenYu在2.4.0和2.4.1版本存在代码注入漏洞,该漏洞源于网络系统或产品的代码开发过程中存在设计或实现不当的问题。攻击者可利用该漏洞导致远程代码执行的Groovy代码注入和SpEL注入。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://lists.apache.org/thread/3zzmwvg3012tg306x8o893fvdcssx639

Reference
https://nvd.nist.gov/vuln/detail/CVE-2021-45029
Impacted products
Name
['Apache shenyu 2.4.0', 'Apache shenyu 2.4.1']
Show details on source website

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2021-45029",
      "cveUrl": "https://nvd.nist.gov/vuln/detail/CVE-2021-45029"
    }
  },
  "description": "Apache ShenYu\u662f\u7f8e\u56fd\u963f\u5e15\u5947\uff08Apache\uff09\u57fa\u91d1\u4f1a\u7684\u4e00\u4e2a\u5f02\u6b65\u7684\uff0c\u9ad8\u6027\u80fd\u7684\uff0c\u8de8\u8bed\u8a00\u7684\uff0c\u54cd\u5e94\u5f0f\u7684API\u7f51\u5173\u3002\n\nApache ShenYu\u57282.4.0\u548c2.4.1\u7248\u672c\u5b58\u5728\u4ee3\u7801\u6ce8\u5165\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u7f51\u7edc\u7cfb\u7edf\u6216\u4ea7\u54c1\u7684\u4ee3\u7801\u5f00\u53d1\u8fc7\u7a0b\u4e2d\u5b58\u5728\u8bbe\u8ba1\u6216\u5b9e\u73b0\u4e0d\u5f53\u7684\u95ee\u9898\u3002\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u5bfc\u81f4\u8fdc\u7a0b\u4ee3\u7801\u6267\u884c\u7684Groovy\u4ee3\u7801\u6ce8\u5165\u548cSpEL\u6ce8\u5165\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://lists.apache.org/thread/3zzmwvg3012tg306x8o893fvdcssx639",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2022-08191",
  "openTime": "2022-02-01",
  "patchDescription": "Apache ShenYu\u662f\u7f8e\u56fd\u963f\u5e15\u5947\uff08Apache\uff09\u57fa\u91d1\u4f1a\u7684\u4e00\u4e2a\u5f02\u6b65\u7684\uff0c\u9ad8\u6027\u80fd\u7684\uff0c\u8de8\u8bed\u8a00\u7684\uff0c\u54cd\u5e94\u5f0f\u7684API\u7f51\u5173\u3002\r\n\r\nApache ShenYu\u57282.4.0\u548c2.4.1\u7248\u672c\u5b58\u5728\u4ee3\u7801\u6ce8\u5165\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u7f51\u7edc\u7cfb\u7edf\u6216\u4ea7\u54c1\u7684\u4ee3\u7801\u5f00\u53d1\u8fc7\u7a0b\u4e2d\u5b58\u5728\u8bbe\u8ba1\u6216\u5b9e\u73b0\u4e0d\u5f53\u7684\u95ee\u9898\u3002\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u5bfc\u81f4\u8fdc\u7a0b\u4ee3\u7801\u6267\u884c\u7684Groovy\u4ee3\u7801\u6ce8\u5165\u548cSpEL\u6ce8\u5165\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": "Apache ShenYu\u4ee3\u7801\u6ce8\u5165\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": [
      "Apache shenyu 2.4.0",
      "Apache shenyu 2.4.1"
    ]
  },
  "referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2021-45029",
  "serverity": "\u9ad8",
  "submitTime": "2022-01-27",
  "title": "Apache ShenYu\u4ee3\u7801\u6ce8\u5165\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.
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  • 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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