Vulnerability-Lookup

CNVD-2016-10415

Vulnerability from cnvd - Published: 2016-10-31

Title

iTrack Easy明文密码获取漏洞

Description

iTrack Easy是一款多功能蓝牙设备。 iTrack Easy使用base64编码存储账户密码。远程攻击者可利用该漏洞提交特殊请求获取明文密码。

Severity

中

Formal description

目前没有详细的解决方案提供： http://www.ieasytec.com/

Reference

http://www.securityfocus.com/bid/93875

Impacted products

Name
iTrack Easy VU#974055

Show details on source website

JSON

To clipboard

{
  "bids": {
    "bid": {
      "bidNumber": "93875"
    }
  },
  "cves": {
    "cve": {
      "cveNumber": "CVE-2016-6546"
    }
  },
  "description": "iTrack Easy\u662f\u4e00\u6b3e\u591a\u529f\u80fd\u84dd\u7259\u8bbe\u5907\u3002\r\n\r\niTrack Easy\u4f7f\u7528base64\u7f16\u7801\u5b58\u50a8\u8d26\u6237\u5bc6\u7801\u3002\u8fdc\u7a0b\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u63d0\u4ea4\u7279\u6b8a\u8bf7\u6c42\u83b7\u53d6\u660e\u6587\u5bc6\u7801\u3002",
  "discovererName": "Deral Heiland and Adam Compton of Rapid7, Inc.",
  "formalWay": "\u76ee\u524d\u6ca1\u6709\u8be6\u7ec6\u7684\u89e3\u51b3\u65b9\u6848\u63d0\u4f9b\uff1a\r\nhttp://www.ieasytec.com/",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2016-10415",
  "openTime": "2016-10-31",
  "products": {
    "product": "iTrack Easy VU#974055"
  },
  "referenceLink": "http://www.securityfocus.com/bid/93875",
  "serverity": "\u4e2d",
  "submitTime": "2016-10-28",
  "title": "iTrack Easy\u660e\u6587\u5bc6\u7801\u83b7\u53d6\u6f0f\u6d1e"
}

CVE-2016-6546 (GCVE-0-2016-6546)

Vulnerability from cvelistv5 – Published: 2018-07-13 20:00 – Updated: 2024-08-06 01:36

Title

iTrack Easy mobile application stores the user password in base-64 encoding/cleartext

Summary

The iTrack Easy mobile application stores the account password used to authenticate to the cloud API in base64-encoding in the cache.db file. The base64 encoding format is considered equivalent to cleartext.

Severity

No CVSS data available.

CWE

CWE-313 - Cleartext Storage in a File or on Disk

Assigner

certcc mitre root

References

3 references

URL	Tags
https://www.kb.cert.org/vuls/id/974055	third-party-advisoryx_refsource_CERT-VN
https://blog.rapid7.com/2016/10/25/multiple-bluet…	x_refsource_MISC
http://www.securityfocus.com/bid/93875	vdb-entryx_refsource_BID

Impacted products

1 product

Vendor	Product	Version
iTrack	Easy	Unknown: N/A

Date Public

2016-10-25 00:00

Credits

Thanks to Deral Heiland and Adam Compton of Rapid7, Inc. for reporting this vulnerability.

Show details on NVD website

JSON

To clipboard

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          "dateUpdated": "2024-08-06T01:36:27.367Z",
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            "url": "https://www.kb.cert.org/vuls/id/974055"
          },
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            ],
            "url": "https://blog.rapid7.com/2016/10/25/multiple-bluetooth-low-energy-ble-tracker-vulnerabilities/"
          },
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      "descriptions": [
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          "lang": "en",
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        }
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      "source": {
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      "title": "iTrack Easy mobile application stores the user password in base-64 encoding/cleartext",
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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.