Vulnerability-Lookup

CNVD-2018-14548

Vulnerability from cnvd - Published: 2018-08-03

Title

JavaMelody跨站脚本漏洞

Description

JavaMelody是一套Java应用监控工具。该工具能够在QA和实际运行生产环境中监测Java或Java EE应用程序服务器，并以图表的形式显示Java内存和Java CPU使用情况、用户Session数量等。 JavaMelody 1.60.0及之前版本中存在跨站脚本漏洞。远程攻击者可借助‘counter’参数利用该漏洞注入任意的Web脚本或HTML。

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://github.com/javamelody/javamelody

Reference

https://nvd.nist.gov/vuln/detail/CVE-2018-12432

Impacted products

Name
JavaMelody JavaMelody <=1.60.0

Show details on source website

JSON

To clipboard

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2018-12432"
    }
  },
  "description": "JavaMelody\u662f\u4e00\u5957Java\u5e94\u7528\u76d1\u63a7\u5de5\u5177\u3002\u8be5\u5de5\u5177\u80fd\u591f\u5728QA\u548c\u5b9e\u9645\u8fd0\u884c\u751f\u4ea7\u73af\u5883\u4e2d\u76d1\u6d4bJava\u6216Java EE\u5e94\u7528\u7a0b\u5e8f\u670d\u52a1\u5668\uff0c\u5e76\u4ee5\u56fe\u8868\u7684\u5f62\u5f0f\u663e\u793aJava\u5185\u5b58\u548cJava CPU\u4f7f\u7528\u60c5\u51b5\u3001\u7528\u6237Session\u6570\u91cf\u7b49\u3002\r\n\r\nJavaMelody 1.60.0\u53ca\u4e4b\u524d\u7248\u672c\u4e2d\u5b58\u5728\u8de8\u7ad9\u811a\u672c\u6f0f\u6d1e\u3002\u8fdc\u7a0b\u653b\u51fb\u8005\u53ef\u501f\u52a9\u2018counter\u2019\u53c2\u6570\u5229\u7528\u8be5\u6f0f\u6d1e\u6ce8\u5165\u4efb\u610f\u7684Web\u811a\u672c\u6216HTML\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://github.com/javamelody/javamelody",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2018-14548",
  "openTime": "2018-08-03",
  "products": {
    "product": "JavaMelody JavaMelody \u003c=1.60.0"
  },
  "referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2018-12432",
  "serverity": "\u4e2d",
  "submitTime": "2018-06-15",
  "title": "JavaMelody\u8de8\u7ad9\u811a\u672c\u6f0f\u6d1e"
}

CVE-2018-12432 (GCVE-0-2018-12432)

Vulnerability from cvelistv5 – Published: 2018-06-14 23:00 – Updated: 2024-08-05 08:38

Summary

JavaMelody through 1.60.0 has XSS via the counter parameter in a clear_counter action to the /monitoring URI.

Severity

No CVSS data available.

CWE

Assigner

mitre CNA under the mitre root

CNA scorecard E 28/100 over 2316 records in the last 180 days details

References

1 reference

URL	Tags
https://github.com/Hurdano/JavaMelody-XSS/wiki/At…	x_refsource_MISC

Date Public

2018-06-14 00:00

Show details on NVD website

JSON

To clipboard

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          "dateUpdated": "2024-08-05T08:38:05.764Z",
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        },
        "references": [
          {
            "tags": [
              "x_refsource_MISC",
              "x_transferred"
            ],
            "url": "https://github.com/Hurdano/JavaMelody-XSS/wiki/Attack-Vector---JavaMelody"
          }
        ],
        "title": "CVE Program Container"
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    ],
    "cna": {
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          "product": "n/a",
          "vendor": "n/a",
          "versions": [
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              "status": "affected",
              "version": "n/a"
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      "datePublic": "2018-06-14T00:00:00.000Z",
      "descriptions": [
        {
          "lang": "en",
          "value": "JavaMelody through 1.60.0 has XSS via the counter parameter in a clear_counter action to the /monitoring URI."
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      ],
      "problemTypes": [
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      "providerMetadata": {
        "dateUpdated": "2018-06-14T23:57:01.000Z",
        "orgId": "8254265b-2729-46b6-b9e3-3dfca2d5bfca",
        "shortName": "mitre"
      },
      "references": [
        {
          "tags": [
            "x_refsource_MISC"
          ],
          "url": "https://github.com/Hurdano/JavaMelody-XSS/wiki/Attack-Vector---JavaMelody"
        }
      ],
      "x_legacyV4Record": {
        "CVE_data_meta": {
          "ASSIGNER": "cve@mitre.org",
          "ID": "CVE-2018-12432",
          "STATE": "PUBLIC"
        },
        "affects": {
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            "vendor_data": [
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                  "product_data": [
                    {
                      "product_name": "n/a",
                      "version": {
                        "version_data": [
                          {
                            "version_value": "n/a"
                          }
                        ]
                      }
                    }
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                },
                "vendor_name": "n/a"
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        },
        "data_format": "MITRE",
        "data_type": "CVE",
        "data_version": "4.0",
        "description": {
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  },
  "cveMetadata": {
    "assignerOrgId": "8254265b-2729-46b6-b9e3-3dfca2d5bfca",
    "assignerShortName": "mitre",
    "cveId": "CVE-2018-12432",
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    "dateReserved": "2018-06-14T00:00:00.000Z",
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    "state": "PUBLISHED"
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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.

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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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