Vulnerability-Lookup

CNVD-2018-11295

Vulnerability from cnvd - Published: 2018-06-12

Title

Splunk信息泄露漏洞

Description

Splunk是美国Splunk公司的一套数据收集分析软件。该软件主要用于收集、索引和分析机器产生的数据，包括所有IT系统和基础结构（物理、虚拟和云）生成的数据。 Splunk 7.0.1及之前版本中存在安全漏洞。攻击者可通过将__raw/services/server/info/server-info?output_mode=json添加到查询中利用该漏洞泄露信息（如：许可证密钥）。

Severity

中

Formal description

厂商尚未提供漏洞修复方案，请关注厂商主页更新： https://www.splunk.com/

Reference

https://nvd.nist.gov/vuln/detail/CVE-2018-11409

Impacted products

Name
Splunk Splunk <=7.0.1

Show details on source website

JSON

To clipboard

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2018-11409"
    }
  },
  "description": "Splunk\u662f\u7f8e\u56fdSplunk\u516c\u53f8\u7684\u4e00\u5957\u6570\u636e\u6536\u96c6\u5206\u6790\u8f6f\u4ef6\u3002\u8be5\u8f6f\u4ef6\u4e3b\u8981\u7528\u4e8e\u6536\u96c6\u3001\u7d22\u5f15\u548c\u5206\u6790\u673a\u5668\u4ea7\u751f\u7684\u6570\u636e\uff0c\u5305\u62ec\u6240\u6709IT\u7cfb\u7edf\u548c\u57fa\u7840\u7ed3\u6784\uff08\u7269\u7406\u3001\u865a\u62df\u548c\u4e91\uff09\u751f\u6210\u7684\u6570\u636e\u3002\r\n\r\nSplunk 7.0.1\u53ca\u4e4b\u524d\u7248\u672c\u4e2d\u5b58\u5728\u5b89\u5168\u6f0f\u6d1e\u3002\u653b\u51fb\u8005\u53ef\u901a\u8fc7\u5c06__raw/services/server/info/server-info?output_mode=json\u6dfb\u52a0\u5230\u67e5\u8be2\u4e2d\u5229\u7528\u8be5\u6f0f\u6d1e\u6cc4\u9732\u4fe1\u606f\uff08\u5982\uff1a\u8bb8\u53ef\u8bc1\u5bc6\u94a5\uff09\u3002",
  "discovererName": "Unknow",
  "formalWay": "\u5382\u5546\u5c1a\u672a\u63d0\u4f9b\u6f0f\u6d1e\u4fee\u590d\u65b9\u6848\uff0c\u8bf7\u5173\u6ce8\u5382\u5546\u4e3b\u9875\u66f4\u65b0\uff1a\r\nhttps://www.splunk.com/",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2018-11295",
  "openTime": "2018-06-12",
  "products": {
    "product": "Splunk Splunk \u003c=7.0.1"
  },
  "referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2018-11409",
  "serverity": "\u4e2d",
  "submitTime": "2018-06-11",
  "title": "Splunk\u4fe1\u606f\u6cc4\u9732\u6f0f\u6d1e"
}

CVE-2018-11409 (GCVE-0-2018-11409)

Vulnerability from cvelistv5 – Published: 2018-06-08 12:00 – Updated: 2024-08-05 08:10

Summary

Splunk through 7.0.1 allows information disclosure by appending __raw/services/server/info/server-info?output_mode=json to a query, as demonstrated by discovering a license key.

Severity

No CVSS data available.

CWE

Assigner

mitre mitre root

References

3 references

URL	Tags
https://github.com/kofa2002/splunk	x_refsource_MISC
http://www.securitytracker.com/id/1041148	vdb-entryx_refsource_SECTRACK
https://www.exploit-db.com/exploits/44865/	exploitx_refsource_EXPLOIT-DB

Date Public

2018-06-08 00:00

Show details on NVD website

JSON

To clipboard

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        },
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          "tags": [
            "vdb-entry",
            "x_refsource_SECTRACK"
          ],
          "url": "http://www.securitytracker.com/id/1041148"
        },
        {
          "name": "44865",
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            "x_refsource_EXPLOIT-DB"
          ],
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      "x_legacyV4Record": {
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                      "product_name": "n/a",
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                        "version_data": [
                          {
                            "version_value": "n/a"
                          }
                        ]
                      }
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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.