Vulnerability-Lookup

CNVD-2018-15381

Vulnerability from cnvd - Published: 2018-08-15

Title

adamvr-geoip-lite文件下载漏洞

Description

adamvr-geoip-lite是一个提供了用于IP地理映射数据文件的API。 adamvr-geoip-lite中存在文件下载漏洞，该漏洞源于程序通过HTTP协议下载geoip资源。攻击者可利用该漏洞读取或修改资源，影响数据的完整性和可用性。

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://www.npmjs.com/package/adamvr-geoip-lite

Reference

https://nvd.nist.gov/vuln/detail/CVE-2016-10680

Impacted products

Name
adamvr-geoip-lite adamvr-geoip-lite 无

Show details on source website

JSON

To clipboard

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2016-10680",
      "cveUrl": "http://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2016-10680"
    }
  },
  "description": "adamvr-geoip-lite\u662f\u4e00\u4e2a\u63d0\u4f9b\u4e86\u7528\u4e8eIP\u5730\u7406\u6620\u5c04\u6570\u636e\u6587\u4ef6\u7684API\u3002\r\n\r\nadamvr-geoip-lite\u4e2d\u5b58\u5728\u6587\u4ef6\u4e0b\u8f7d\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u7a0b\u5e8f\u901a\u8fc7HTTP\u534f\u8bae\u4e0b\u8f7dgeoip\u8d44\u6e90\u3002\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u8bfb\u53d6\u6216\u4fee\u6539\u8d44\u6e90\uff0c\u5f71\u54cd\u6570\u636e\u7684\u5b8c\u6574\u6027\u548c\u53ef\u7528\u6027\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://www.npmjs.com/package/adamvr-geoip-lite",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2018-15381",
  "openTime": "2018-08-15",
  "products": {
    "product": "adamvr-geoip-lite adamvr-geoip-lite \u65e0"
  },
  "referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2016-10680",
  "serverity": "\u4e2d",
  "submitTime": "2018-05-31",
  "title": "adamvr-geoip-lite\u6587\u4ef6\u4e0b\u8f7d\u6f0f\u6d1e"
}

CVE-2016-10680 (GCVE-0-2016-10680)

Vulnerability from cvelistv5 – Published: 2018-05-29 20:00 – Updated: 2024-09-16 22:30

Summary

adamvr-geoip-lite is a light weight native JavaScript implementation of GeoIP API from MaxMind adamvr-geoip-lite downloads geoip resources over HTTP, which leaves it vulnerable to MITM attacks. This impacts the integrity and availability of this geoip data that may alter the decisions made by an application using this data.

Severity

No CVSS data available.

CWE

CWE-311 - Missing Encryption of Sensitive Data (CWE-311)

Assigner

hackerone mitre root

References

1 reference

URL	Tags
https://nodesecurity.io/advisories/283	x_refsource_MISC

Impacted products

1 product

Vendor	Product	Version
HackerOne	adamvr-geoip-lite node module	Affected: All versions

Date Public

2018-04-26 00:00

Show details on NVD website

JSON

To clipboard

{
  "containers": {
    "adp": [
      {
        "providerMetadata": {
          "dateUpdated": "2024-08-06T03:30:20.293Z",
          "orgId": "af854a3a-2127-422b-91ae-364da2661108",
          "shortName": "CVE"
        },
        "references": [
          {
            "tags": [
              "x_refsource_MISC",
              "x_transferred"
            ],
            "url": "https://nodesecurity.io/advisories/283"
          }
        ],
        "title": "CVE Program Container"
      }
    ],
    "cna": {
      "affected": [
        {
          "product": "adamvr-geoip-lite node module",
          "vendor": "HackerOne",
          "versions": [
            {
              "status": "affected",
              "version": "All versions"
            }
          ]
        }
      ],
      "datePublic": "2018-04-26T00:00:00.000Z",
      "descriptions": [
        {
          "lang": "en",
          "value": "adamvr-geoip-lite is a light weight native JavaScript implementation of GeoIP API from MaxMind adamvr-geoip-lite downloads geoip resources over HTTP, which leaves it vulnerable to MITM attacks. This impacts the integrity and availability of this geoip data that may alter the decisions made by an application using this data."
        }
      ],
      "problemTypes": [
        {
          "descriptions": [
            {
              "cweId": "CWE-311",
              "description": "Missing Encryption of Sensitive Data (CWE-311)",
              "lang": "en",
              "type": "CWE"
            }
          ]
        }
      ],
      "providerMetadata": {
        "dateUpdated": "2018-05-29T19:57:02.000Z",
        "orgId": "36234546-b8fa-4601-9d6f-f4e334aa8ea1",
        "shortName": "hackerone"
      },
      "references": [
        {
          "tags": [
            "x_refsource_MISC"
          ],
          "url": "https://nodesecurity.io/advisories/283"
        }
      ],
      "x_legacyV4Record": {
        "CVE_data_meta": {
          "ASSIGNER": "support@hackerone.com",
          "DATE_PUBLIC": "2018-04-26T00:00:00",
          "ID": "CVE-2016-10680",
          "STATE": "PUBLIC"
        },
        "affects": {
          "vendor": {
            "vendor_data": [
              {
                "product": {
                  "product_data": [
                    {
                      "product_name": "adamvr-geoip-lite node module",
                      "version": {
                        "version_data": [
                          {
                            "version_value": "All versions"
                          }
                        ]
                      }
                    }
                  ]
                },
                "vendor_name": "HackerOne"
              }
            ]
          }
        },
        "data_format": "MITRE",
        "data_type": "CVE",
        "data_version": "4.0",
        "description": {
          "description_data": [
            {
              "lang": "eng",
              "value": "adamvr-geoip-lite is a light weight native JavaScript implementation of GeoIP API from MaxMind adamvr-geoip-lite downloads geoip resources over HTTP, which leaves it vulnerable to MITM attacks. This impacts the integrity and availability of this geoip data that may alter the decisions made by an application using this data."
            }
          ]
        },
        "problemtype": {
          "problemtype_data": [
            {
              "description": [
                {
                  "lang": "eng",
                  "value": "Missing Encryption of Sensitive Data (CWE-311)"
                }
              ]
            }
          ]
        },
        "references": {
          "reference_data": [
            {
              "name": "https://nodesecurity.io/advisories/283",
              "refsource": "MISC",
              "url": "https://nodesecurity.io/advisories/283"
            }
          ]
        }
      }
    }
  },
  "cveMetadata": {
    "assignerOrgId": "36234546-b8fa-4601-9d6f-f4e334aa8ea1",
    "assignerShortName": "hackerone",
    "cveId": "CVE-2016-10680",
    "datePublished": "2018-05-29T20:00:00.000Z",
    "dateReserved": "2017-10-29T00:00:00.000Z",
    "dateUpdated": "2024-09-16T22:30:52.903Z",
    "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.