Vulnerability-Lookup

CNVD-2017-34169

Vulnerability from cnvd - Published: 2017-11-16

Title

Apache Spark反序列化的程代码执行漏洞

Description

Apache Spark是美国阿帕奇（Apache）软件基金会的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 1.6.0版本至2.1.1版本中存在安全漏洞，该漏洞源于程序未能安全的反序列化数据。攻击者可利用该漏洞执行任意代码。

Severity

高

Patch Name

Apache Spark反序列化的程代码执行漏洞的补丁

Patch Description

Apache Spark是美国阿帕奇（Apache）软件基金会的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 1.6.0版本至2.1.1版本中存在安全漏洞，该漏洞源于程序未能安全的反序列化数据。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

目前厂商已发布升级补丁以修复漏洞，补丁获取链接： http://krbdev.mit.edu/rt/Ticket/Display.html?id=8598#lasttrans

Reference

https://nvd.nist.gov/vuln/detail/CVE-2017-12612

Impacted products

Name
Apache Spark >=1.6.0，<=2.1.1

Show details on source website

JSON

To clipboard

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    "bid": {
      "bidNumber": "100823"
    }
  },
  "cves": {
    "cve": {
      "cveNumber": "CVE-2017-12612"
    }
  },
  "description": "Apache Spark\u662f\u7f8e\u56fd\u963f\u5e15\u5947\uff08Apache\uff09\u8f6f\u4ef6\u57fa\u91d1\u4f1a\u7684\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 1.6.0\u7248\u672c\u81f32.1.1\u7248\u672c\u4e2d\u5b58\u5728\u5b89\u5168\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u7a0b\u5e8f\u672a\u80fd\u5b89\u5168\u7684\u53cd\u5e8f\u5217\u5316\u6570\u636e\u3002\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u6267\u884c\u4efb\u610f\u4ee3\u7801\u3002",
  "discovererName": "Sean Owen",
  "formalWay": "\u76ee\u524d\u5382\u5546\u5df2\u53d1\u5e03\u5347\u7ea7\u8865\u4e01\u4ee5\u4fee\u590d\u6f0f\u6d1e\uff0c\u8865\u4e01\u83b7\u53d6\u94fe\u63a5\uff1a\r\nhttp://krbdev.mit.edu/rt/Ticket/Display.html?id=8598#lasttrans",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2017-34169",
  "openTime": "2017-11-16",
  "patchDescription": "Apache Spark\u662f\u7f8e\u56fd\u963f\u5e15\u5947\uff08Apache\uff09\u8f6f\u4ef6\u57fa\u91d1\u4f1a\u7684\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 1.6.0\u7248\u672c\u81f32.1.1\u7248\u672c\u4e2d\u5b58\u5728\u5b89\u5168\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u7a0b\u5e8f\u672a\u80fd\u5b89\u5168\u7684\u53cd\u5e8f\u5217\u5316\u6570\u636e\u3002\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": "Apache Spark\u53cd\u5e8f\u5217\u5316\u7684\u7a0b\u4ee3\u7801\u6267\u884c\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": "Apache Spark \u003e=1.6.0\uff0c\u003c=2.1.1"
  },
  "referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2017-12612",
  "serverity": "\u9ad8",
  "submitTime": "2017-09-19",
  "title": "Apache Spark\u53cd\u5e8f\u5217\u5316\u7684\u7a0b\u4ee3\u7801\u6267\u884c\u6f0f\u6d1e"
}

CVE-2017-12612 (GCVE-0-2017-12612)

Vulnerability from cvelistv5 – Published: 2017-09-13 16:00 – Updated: 2024-08-05 18:43

Summary

In Apache Spark 1.6.0 until 2.1.1, the launcher API performs unsafe deserialization of data received by its socket. This makes applications launched programmatically using the launcher API potentially vulnerable to arbitrary code execution by an attacker with access to any user account on the local machine. It does not affect apps run by spark-submit or spark-shell. The attacker would be able to execute code as the user that ran the Spark application. Users are encouraged to update to version 2.2.0 or later.

Severity

No CVSS data available.

CWE

Assigner

apache mitre root

References

2 references

URL	Tags
http://www.securityfocus.com/bid/100823	vdb-entryx_refsource_BID
https://mail-archives.apache.org/mod_mbox/spark-d…	x_refsource_MISC

Date Public

2017-09-08 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.

Detection rules are retrieved from Rulezet.

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.
Browse all ATT&CK techniques and the vulnerabilities related to each.

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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CNVD-2017-34169

CVE-2017-12612 (GCVE-0-2017-12612)

Tags

Sightings

Nomenclature

Related by attack behaviour