Vulnerability-Lookup

CNVD-2018-14342

Vulnerability from cnvd - Published: 2018-08-01

Title

Momentum Axel 720P缓冲区溢出漏洞

Description

Momentum Axel 720P是一款支持WiFi连接的双频高清摄像头。 Momentum Axel 720P 5.1.8版本中存在缓冲区溢出漏洞。攻击者可利用该漏洞获取用户账户的访问权限。

Severity

中

Formal description

目前厂商暂未发布修复措施解决此安全问题，建议使用此软件的用户随时关注厂商主页或参考网址以获取解决办法： https://momentumcam.com/

Reference

https://momentumcam.com/

Impacted products

Name
Momentum Axel 720P 5.1.8

Show details on source website

JSON

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{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2018-12261",
      "cveUrl": "http://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2018-12261"
    }
  },
  "description": "Momentum Axel 720P\u662f\u4e00\u6b3e\u652f\u6301WiFi\u8fde\u63a5\u7684\u53cc\u9891\u9ad8\u6e05\u6444\u50cf\u5934\u3002\r\n\r\nMomentum Axel 720P 5.1.8\u7248\u672c\u4e2d\u5b58\u5728\u7f13\u51b2\u533a\u6ea2\u51fa\u6f0f\u6d1e\u3002\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u83b7\u53d6\u7528\u6237\u8d26\u6237\u7684\u8bbf\u95ee\u6743\u9650\u3002",
  "discovererName": "Unknow",
  "formalWay": "\u76ee\u524d\u5382\u5546\u6682\u672a\u53d1\u5e03\u4fee\u590d\u63aa\u65bd\u89e3\u51b3\u6b64\u5b89\u5168\u95ee\u9898\uff0c\u5efa\u8bae\u4f7f\u7528\u6b64\u8f6f\u4ef6\u7684\u7528\u6237\u968f\u65f6\u5173\u6ce8\u5382\u5546\u4e3b\u9875\u6216\u53c2\u8003\u7f51\u5740\u4ee5\u83b7\u53d6\u89e3\u51b3\u529e\u6cd5\uff1a\r\nhttps://momentumcam.com/",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2018-14342",
  "openTime": "2018-08-01",
  "products": {
    "product": "Momentum Axel 720P 5.1.8"
  },
  "referenceLink": "https://momentumcam.com/",
  "serverity": "\u4e2d",
  "submitTime": "2018-06-14",
  "title": "Momentum Axel 720P\u7f13\u51b2\u533a\u6ea2\u51fa\u6f0f\u6d1e"
}

CVE-2018-12261 (GCVE-0-2018-12261)

Vulnerability from cvelistv5 – Published: 2018-06-12 18:00 – Updated: 2024-09-16 18:48

Summary

An issue was discovered on Momentum Axel 720P 5.1.8 devices. All processes run as root.

Severity

No CVSS data available.

CWE

Assigner

mitre mitre root

References

1 reference

URL	Tags
https://rchase.com/downloads/momentum-iot-penetra…	x_refsource_MISC

Show details on NVD website

JSON

To clipboard

{
  "containers": {
    "adp": [
      {
        "providerMetadata": {
          "dateUpdated": "2024-08-05T08:30:59.835Z",
          "orgId": "af854a3a-2127-422b-91ae-364da2661108",
          "shortName": "CVE"
        },
        "references": [
          {
            "tags": [
              "x_refsource_MISC",
              "x_transferred"
            ],
            "url": "https://rchase.com/downloads/momentum-iot-penetration-test-report.pdf"
          }
        ],
        "title": "CVE Program Container"
      }
    ],
    "cna": {
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          "product": "n/a",
          "vendor": "n/a",
          "versions": [
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          "lang": "en",
          "value": "An issue was discovered on Momentum Axel 720P 5.1.8 devices. All processes run as root."
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      "problemTypes": [
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              "type": "text"
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      "providerMetadata": {
        "dateUpdated": "2018-06-12T18:00:00.000Z",
        "orgId": "8254265b-2729-46b6-b9e3-3dfca2d5bfca",
        "shortName": "mitre"
      },
      "references": [
        {
          "tags": [
            "x_refsource_MISC"
          ],
          "url": "https://rchase.com/downloads/momentum-iot-penetration-test-report.pdf"
        }
      ],
      "x_legacyV4Record": {
        "CVE_data_meta": {
          "ASSIGNER": "cve@mitre.org",
          "ID": "CVE-2018-12261",
          "STATE": "PUBLIC"
        },
        "affects": {
          "vendor": {
            "vendor_data": [
              {
                "product": {
                  "product_data": [
                    {
                      "product_name": "n/a",
                      "version": {
                        "version_data": [
                          {
                            "version_value": "n/a"
                          }
                        ]
                      }
                    }
                  ]
                },
                "vendor_name": "n/a"
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        "data_type": "CVE",
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        "description": {
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              "name": "https://rchase.com/downloads/momentum-iot-penetration-test-report.pdf",
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              "url": "https://rchase.com/downloads/momentum-iot-penetration-test-report.pdf"
            }
          ]
        }
      }
    }
  },
  "cveMetadata": {
    "assignerOrgId": "8254265b-2729-46b6-b9e3-3dfca2d5bfca",
    "assignerShortName": "mitre",
    "cveId": "CVE-2018-12261",
    "datePublished": "2018-06-12T18:00:00.000Z",
    "dateReserved": "2018-06-12T00:00:00.000Z",
    "dateUpdated": "2024-09-16T18:48:22.737Z",
    "state": "PUBLISHED"
  },
  "dataType": "CVE_RECORD",
  "dataVersion": "5.1"
}

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.