CNVD-2022-52835

Vulnerability from cnvd - Published: 2022-07-19
VLAI
Title
Apache Spark命令注入漏洞
Description
Apache Spark是美国阿帕奇(Apache)基金会的一款支持非循环数据流和内存计算的大规模数据处理引擎。 Apache Spark存在命令注入漏洞,攻击者可利用漏洞导致任意shell命令执行,因为用户Spark当前正在运行。
Severity
Patch Name
Apache Spark命令注入漏洞的补丁
Patch Description
Apache Spark是美国阿帕奇(Apache)基金会的一款支持非循环数据流和内存计算的大规模数据处理引擎。 Apache Spark存在命令注入漏洞,攻击者可利用漏洞导致任意shell命令执行,因为用户Spark当前正在运行。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

用户可参考如下供应商提供的安全公告获得补丁信息: https://spark.apache.org/security.html

Reference
https://spark.apache.org/security.html
Impacted products
Name
['Apache Spark ≤ 3.0.3', 'Apache Spark >=3.1.1,<=3.1.2', 'Apache Spark >=3.2.0,<=3.2.1']
Show details on source website

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2022-33891"
    }
  },
  "description": "Apache Spark\u662f\u7f8e\u56fd\u963f\u5e15\u5947\uff08Apache\uff09\u57fa\u91d1\u4f1a\u7684\u4e00\u6b3e\u652f\u6301\u975e\u5faa\u73af\u6570\u636e\u6d41\u548c\u5185\u5b58\u8ba1\u7b97\u7684\u5927\u89c4\u6a21\u6570\u636e\u5904\u7406\u5f15\u64ce\u3002\n\nApache Spark\u5b58\u5728\u547d\u4ee4\u6ce8\u5165\u6f0f\u6d1e\uff0c\u653b\u51fb\u8005\u53ef\u5229\u7528\u6f0f\u6d1e\u5bfc\u81f4\u4efb\u610fshell\u547d\u4ee4\u6267\u884c\uff0c\u56e0\u4e3a\u7528\u6237Spark\u5f53\u524d\u6b63\u5728\u8fd0\u884c\u3002",
  "formalWay": "\u7528\u6237\u53ef\u53c2\u8003\u5982\u4e0b\u4f9b\u5e94\u5546\u63d0\u4f9b\u7684\u5b89\u5168\u516c\u544a\u83b7\u5f97\u8865\u4e01\u4fe1\u606f\uff1a\r\nhttps://spark.apache.org/security.html",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2022-52835",
  "openTime": "2022-07-19",
  "patchDescription": "Apache Spark\u662f\u7f8e\u56fd\u963f\u5e15\u5947\uff08Apache\uff09\u57fa\u91d1\u4f1a\u7684\u4e00\u6b3e\u652f\u6301\u975e\u5faa\u73af\u6570\u636e\u6d41\u548c\u5185\u5b58\u8ba1\u7b97\u7684\u5927\u89c4\u6a21\u6570\u636e\u5904\u7406\u5f15\u64ce\u3002\r\n\r\nApache Spark\u5b58\u5728\u547d\u4ee4\u6ce8\u5165\u6f0f\u6d1e\uff0c\u653b\u51fb\u8005\u53ef\u5229\u7528\u6f0f\u6d1e\u5bfc\u81f4\u4efb\u610fshell\u547d\u4ee4\u6267\u884c\uff0c\u56e0\u4e3a\u7528\u6237Spark\u5f53\u524d\u6b63\u5728\u8fd0\u884c\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 Spark\u547d\u4ee4\u6ce8\u5165\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": [
      "Apache Spark \u2264 3.0.3",
      "Apache Spark \u003e=3.1.1\uff0c\u003c=3.1.2",
      "Apache Spark \u003e=3.2.0\uff0c\u003c=3.2.1"
    ]
  },
  "referenceLink": "https://spark.apache.org/security.html",
  "serverity": "\u9ad8",
  "submitTime": "2022-07-18",
  "title": "Apache Spark\u547d\u4ee4\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

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.

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Related by attack behaviour

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