cnvd - cnvd-2018-15537

cnvd-2018-15537

Vulnerability from cnvd

Title: Apache Spark欺骗漏洞

Description:

Apache Spark是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 1.0.0版本至2.1.2版本、2.2.0版本至2.2.1版本和2.3.0版本在实现中存在欺骗漏洞。当运行PySpark和SparkR时，本地攻击者可利用该漏洞连接到Spark应用程序上并冒充用户。

Severity: 中

Patch Name: Apache Spark欺骗漏洞的补丁

Patch Description:

Apache Spark是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 1.0.0版本至2.1.2版本、2.2.0版本至2.2.1版本和2.3.0版本在实现中存在欺骗漏洞。当运行PySpark和SparkR时，本地攻击者可利用该漏洞连接到Spark应用程序上并冒充用户。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:

目前厂商已经发布了升级补丁以修复这个安全问题，请到厂商的主页下载： https://spark.apache.org/security.html#CVE-2018-1334

Reference: https://nvd.nist.gov/vuln/detail/CVE-2018-1334

Impacted products

Name
['Apache Spark >=2.2.0 ，<=2.2.1', 'Apache Spark 2.3.0', 'Apache Spark >=1.0.0 ，<=2.1.2']

Show details on source website

JSON

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{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2018-1334"
    }
  },
  "description": "Apache Spark\u662f\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 1.0.0\u7248\u672c\u81f32.1.2\u7248\u672c\u30012.2.0\u7248\u672c\u81f32.2.1\u7248\u672c\u548c2.3.0\u7248\u672c\u5728\u5b9e\u73b0\u4e2d\u5b58\u5728\u6b3a\u9a97\u6f0f\u6d1e\u3002\u5f53\u8fd0\u884cPySpark\u548cSparkR\u65f6\uff0c\u672c\u5730\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u8fde\u63a5\u5230Spark\u5e94\u7528\u7a0b\u5e8f\u4e0a\u5e76\u5192\u5145\u7528\u6237\u3002",
  "discovererName": "Nehm\u00e9 Tohm\u00e9, Cloudera, Inc",
  "formalWay": "\u76ee\u524d\u5382\u5546\u5df2\u7ecf\u53d1\u5e03\u4e86\u5347\u7ea7\u8865\u4e01\u4ee5\u4fee\u590d\u8fd9\u4e2a\u5b89\u5168\u95ee\u9898\uff0c\u8bf7\u5230\u5382\u5546\u7684\u4e3b\u9875\u4e0b\u8f7d\uff1a\r\nhttps://spark.apache.org/security.html#CVE-2018-1334",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2018-15537",
  "openTime": "2018-08-17",
  "patchDescription": "Apache Spark\u662f\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 1.0.0\u7248\u672c\u81f32.1.2\u7248\u672c\u30012.2.0\u7248\u672c\u81f32.2.1\u7248\u672c\u548c2.3.0\u7248\u672c\u5728\u5b9e\u73b0\u4e2d\u5b58\u5728\u6b3a\u9a97\u6f0f\u6d1e\u3002\u5f53\u8fd0\u884cPySpark\u548cSparkR\u65f6\uff0c\u672c\u5730\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u8fde\u63a5\u5230Spark\u5e94\u7528\u7a0b\u5e8f\u4e0a\u5e76\u5192\u5145\u7528\u6237\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\u6b3a\u9a97\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": [
      "Apache Spark \u003e=2.2.0 \uff0c\u003c=2.2.1",
      "Apache Spark 2.3.0",
      "Apache Spark \u003e=1.0.0 \uff0c\u003c=2.1.2"
    ]
  },
  "referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2018-1334",
  "serverity": "\u4e2d",
  "submitTime": "2018-07-19",
  "title": "Apache Spark\u6b3a\u9a97\u6f0f\u6d1e"
}

CVE-2018-1334 (GCVE-0-2018-1334)

Vulnerability from cvelistv5

Published

2018-07-12 13:00

Modified

2024-09-17 03:22

Severity ?

CWE

Information Disclosure

Summary

In Apache Spark 1.0.0 to 2.1.2, 2.2.0 to 2.2.1, and 2.3.0, when using PySpark or SparkR, it's possible for a different local user to connect to the Spark application and impersonate the user running the Spark application.

References

▼	URL	Tags
	https://spark.apache.org/security.html#CVE-2018-1334	x_refsource_CONFIRM
	https://lists.apache.org/thread.html/4d6d210e319a501b740293daaeeeadb51927111fb8261a3e4cd60060%40%3Cdev.spark.apache.org%3E	mailing-list, x_refsource_MLIST

Impacted products

	Vendor	Product	Version
	Apache Software Foundation	Apache Spark	Version: 1.0.0 to 2.1.2 Version: 2.2.0 to 2.2.1 Version: 2.3.0

Show details on NVD website

JSON

To clipboard

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Sightings

Author	Source	Type	Date

Nomenclature

Seen: The vulnerability was mentioned, discussed, or seen somewhere by the user.
Confirmed: The vulnerability is confirmed from an analyst perspective.
Exploited: This vulnerability was exploited and seen by the user reporting the sighting.
Patched: This vulnerability was successfully patched by the user reporting the sighting.
Not exploited: This vulnerability was not exploited or seen by the user reporting the sighting.
Not confirmed: The user expresses doubt about the veracity of the vulnerability.
Not patched: This vulnerability was not successfully patched by the user reporting the sighting.

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