Vulnerability-Lookup

CNVD-2018-04344

Vulnerability from cnvd - Published: 2018-03-06

Title

Cheetah Mobile Armorfly Browser&Downloader安全绕过漏洞

Description

Cheetah Mobile Armorfly Browser&Downloader是中国猎豹移动（Cheetah Mobile）公司的一款具有下载功能的浏览器。 Cheetah Mobile Armorfly Browser&Downloader 1.1.05.0010版本中存在安全绕过漏洞。攻击者可利用该漏洞绕过同源策略。

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： http://www.cmcm.com/

Reference

https://twitter.com/mishradhiraj_/status/950975902892150785

Impacted products

Name
Cheetah Mobile Inc Armorfly Browser&Downloader 1.1.05.0010

Show details on source website

JSON

To clipboard

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2018-5327"
    }
  },
  "description": "Cheetah Mobile Armorfly Browser\u0026Downloader\u662f\u4e2d\u56fd\u730e\u8c79\u79fb\u52a8\uff08Cheetah Mobile\uff09\u516c\u53f8\u7684\u4e00\u6b3e\u5177\u6709\u4e0b\u8f7d\u529f\u80fd\u7684\u6d4f\u89c8\u5668\u3002\r\n\r\nCheetah Mobile Armorfly Browser\u0026Downloader 1.1.05.0010\u7248\u672c\u4e2d\u5b58\u5728\u5b89\u5168\u7ed5\u8fc7\u6f0f\u6d1e\u3002\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u7ed5\u8fc7\u540c\u6e90\u7b56\u7565\u3002",
  "discovererName": "Unknown",
  "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\nhttp://www.cmcm.com/",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2018-04344",
  "openTime": "2018-03-06",
  "products": {
    "product": "Cheetah Mobile Inc Armorfly Browser\u0026Downloader 1.1.05.0010"
  },
  "referenceLink": "https://twitter.com/mishradhiraj_/status/950975902892150785",
  "serverity": "\u4e2d",
  "submitTime": "2018-01-17",
  "title": "Cheetah Mobile Armorfly Browser\u0026Downloader\u5b89\u5168\u7ed5\u8fc7\u6f0f\u6d1e"
}

CVE-2018-5327 (GCVE-0-2018-5327)

Vulnerability from cvelistv5 – Published: 2018-01-12 02:00 – Updated: 2024-08-05 05:33

Summary

Cheetah Mobile Armorfly Browser & Downloader 1.1.05.0010, when installed on unspecified "older" Android platforms, allows Same Origin Policy Bypass.

Severity

No CVSS data available.

CWE

Assigner

mitre mitre root

References

1 reference

URL	Tags
https://twitter.com/mishradhiraj_/status/95097590…	x_refsource_MISC

Date Public

2018-01-11 00:00

Show details on NVD website

JSON

To clipboard

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        "providerMetadata": {
          "dateUpdated": "2024-08-05T05:33:44.112Z",
          "orgId": "af854a3a-2127-422b-91ae-364da2661108",
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            "tags": [
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              "x_transferred"
            ],
            "url": "https://twitter.com/mishradhiraj_/status/950975902892150785"
          }
        ],
        "title": "CVE Program Container"
      }
    ],
    "cna": {
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          "product": "n/a",
          "vendor": "n/a",
          "versions": [
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              "version": "n/a"
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      ],
      "datePublic": "2018-01-11T00:00:00.000Z",
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        {
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          "value": "Cheetah Mobile Armorfly Browser \u0026 Downloader 1.1.05.0010, when installed on unspecified \"older\" Android platforms, allows Same Origin Policy Bypass."
        }
      ],
      "problemTypes": [
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        "dateUpdated": "2018-01-12T01:57:01.000Z",
        "orgId": "8254265b-2729-46b6-b9e3-3dfca2d5bfca",
        "shortName": "mitre"
      },
      "references": [
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          "tags": [
            "x_refsource_MISC"
          ],
          "url": "https://twitter.com/mishradhiraj_/status/950975902892150785"
        }
      ],
      "x_legacyV4Record": {
        "CVE_data_meta": {
          "ASSIGNER": "cve@mitre.org",
          "ID": "CVE-2018-5327",
          "STATE": "PUBLIC"
        },
        "affects": {
          "vendor": {
            "vendor_data": [
              {
                "product": {
                  "product_data": [
                    {
                      "product_name": "n/a",
                      "version": {
                        "version_data": [
                          {
                            "version_value": "n/a"
                          }
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                      }
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                "vendor_name": "n/a"
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        "data_format": "MITRE",
        "data_type": "CVE",
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        "description": {
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        },
        "references": {
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              "url": "https://twitter.com/mishradhiraj_/status/950975902892150785"
            }
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  },
  "cveMetadata": {
    "assignerOrgId": "8254265b-2729-46b6-b9e3-3dfca2d5bfca",
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    "dateReserved": "2018-01-09T00:00:00.000Z",
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  "dataType": "CVE_RECORD",
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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.