Vulnerability-Lookup

CNVD-2018-15537

Vulnerability from cnvd - Published: 2018-08-17

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

To clipboard

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    "cve": {
      "cveNumber": "CVE-2018-1334"
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  "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 – Updated: 2024-09-17 03:22

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.

Severity

No CVSS data available.

CWE

Information Disclosure

Assigner

apache mitre root Scorecard

References

2 references

URL	Tags
https://spark.apache.org/security.html#CVE-2018-1334	x_refsource_CONFIRM
https://lists.apache.org/thread.html/4d6d210e319a…	mailing-listx_refsource_MLIST

Impacted products

1 product

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

Date Public

2018-07-11 00:00

Show details on NVD website

JSON

To clipboard

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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.

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.
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CNVD-2018-15537

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

Tags

Sightings

Nomenclature

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