Vulnerability-Lookup

CNVD-2017-03647

Vulnerability from cnvd - Published: 2017-03-27

Title

Hitek Software Automize信息泄露漏洞（CNVD-2017-03647）

Description

Hitek Software Automize是Hitek Software公司的一款自动化软件套件，可提高生产效率并节省时间。 Hitek Software Automize存在信息泄露漏洞。攻击者可利用此漏洞泄露敏感信息。

Severity

中

Patch Name

Hitek Software Automize信息泄露漏洞的补丁

Patch Description

Hitek Software Automize是Hitek Software公司的一款自动化软件套件，可提高生产效率并节省时间。 Hitek Software Automize存在信息泄露漏洞。攻击者可利用此漏洞泄露敏感信息。目前，供应商发布了安全公告及相关补丁信息，修复了此漏洞。

Formal description

厂商已发布了漏洞修复程序，请及时关注更新： https://rastamouse.me/guff/2016/automize/

Reference

http://www.securityfocus.com/bid/96840 https://web.nvd.nist.gov/view/vuln/detail?vulnId=CVE-2016-10101

Impacted products

Name
hiteksoftware automize >=10.x，<=11.x

Show details on source website

JSON

To clipboard

{
  "bids": {
    "bid": {
      "bidNumber": "96840"
    }
  },
  "cves": {
    "cve": {
      "cveNumber": "CVE-2016-10101",
      "cveUrl": "http://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2016-10101"
    }
  },
  "description": "Hitek Software Automize\u662fHitek Software\u516c\u53f8\u7684\u4e00\u6b3e\u81ea\u52a8\u5316\u8f6f\u4ef6\u5957\u4ef6\uff0c\u53ef\u63d0\u9ad8\u751f\u4ea7\u6548\u7387\u5e76\u8282\u7701\u65f6\u95f4\u3002\r\n\r\nHitek Software Automize\u5b58\u5728\u4fe1\u606f\u6cc4\u9732\u6f0f\u6d1e\u3002\u653b\u51fb\u8005\u53ef\u5229\u7528\u6b64\u6f0f\u6d1e\u6cc4\u9732\u654f\u611f\u4fe1\u606f\u3002",
  "discovererName": "rastamouse.me",
  "formalWay": "\u5382\u5546\u5df2\u53d1\u5e03\u4e86\u6f0f\u6d1e\u4fee\u590d\u7a0b\u5e8f\uff0c\u8bf7\u53ca\u65f6\u5173\u6ce8\u66f4\u65b0\uff1a\r\nhttps://rastamouse.me/guff/2016/automize/",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2017-03647",
  "openTime": "2017-03-27",
  "patchDescription": "Hitek Software Automize\u662fHitek Software\u516c\u53f8\u7684\u4e00\u6b3e\u81ea\u52a8\u5316\u8f6f\u4ef6\u5957\u4ef6\uff0c\u53ef\u63d0\u9ad8\u751f\u4ea7\u6548\u7387\u5e76\u8282\u7701\u65f6\u95f4\u3002\r\n\r\nHitek Software Automize\u5b58\u5728\u4fe1\u606f\u6cc4\u9732\u6f0f\u6d1e\u3002\u653b\u51fb\u8005\u53ef\u5229\u7528\u6b64\u6f0f\u6d1e\u6cc4\u9732\u654f\u611f\u4fe1\u606f\u3002\u76ee\u524d\uff0c\u4f9b\u5e94\u5546\u53d1\u5e03\u4e86\u5b89\u5168\u516c\u544a\u53ca\u76f8\u5173\u8865\u4e01\u4fe1\u606f\uff0c\u4fee\u590d\u4e86\u6b64\u6f0f\u6d1e\u3002",
  "patchName": "Hitek Software Automize\u4fe1\u606f\u6cc4\u9732\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": "hiteksoftware automize \u003e=10.x\uff0c\u003c=11.x"
  },
  "referenceLink": "http://www.securityfocus.com/bid/96840\r\nhttps://web.nvd.nist.gov/view/vuln/detail?vulnId=CVE-2016-10101",
  "serverity": "\u4e2d",
  "submitTime": "2017-03-16",
  "title": "Hitek Software Automize\u4fe1\u606f\u6cc4\u9732\u6f0f\u6d1e\uff08CNVD-2017-03647\uff09"
}

CVE-2016-10101 (GCVE-0-2016-10101)

Vulnerability from cvelistv5 – Published: 2017-01-23 06:49 – Updated: 2024-08-06 03:07

Summary

Information Disclosure can occur in Hitek Software's Automize 10.x and 11.x passManager.jsd. Users have the Read attribute, which allows an attacker to recover the encrypted password to access the Password Manager.

Severity

No CVSS data available.

CWE

Assigner

mitre mitre root

References

2 references

URL	Tags
https://rastamouse.me/guff/2016/automize/	x_refsource_MISC
http://www.securityfocus.com/bid/96840	vdb-entryx_refsource_BID

Date Public

2017-01-22 00:00

Show details on NVD website

JSON

To clipboard

{
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      {
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          "dateUpdated": "2024-08-06T03:07:32.113Z",
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        },
        "references": [
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              "x_refsource_MISC",
              "x_transferred"
            ],
            "url": "https://rastamouse.me/guff/2016/automize/"
          },
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            "tags": [
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              "x_refsource_BID",
              "x_transferred"
            ],
            "url": "http://www.securityfocus.com/bid/96840"
          }
        ],
        "title": "CVE Program Container"
      }
    ],
    "cna": {
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          "vendor": "n/a",
          "versions": [
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      ],
      "datePublic": "2017-01-22T00:00:00.000Z",
      "descriptions": [
        {
          "lang": "en",
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        }
      ],
      "problemTypes": [
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              "description": "n/a",
              "lang": "en",
              "type": "text"
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      "providerMetadata": {
        "dateUpdated": "2017-03-14T09:57:01.000Z",
        "orgId": "8254265b-2729-46b6-b9e3-3dfca2d5bfca",
        "shortName": "mitre"
      },
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        },
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          ],
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        }
      ],
      "x_legacyV4Record": {
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          "ID": "CVE-2016-10101",
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        "data_version": "4.0",
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  "cveMetadata": {
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    "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.