Vulnerability-Lookup

CNVD-2017-31585

Vulnerability from cnvd - Published: 2017-10-26

Title

Optimal Guard安装程序不可信搜索路径漏洞

Description

Optimal Guard是日本Optim公司的一套反恶意软件解决方案。Installer是其中的一个安装程序。 Optimal Guard 1.1.21及之前的版本中的安装程序存在不可信搜索路径漏洞。攻击者可借助目录下恶意的DLL利用该漏洞获取权限。

Severity

高

Patch Name

Optimal Guard安装程序不可信搜索路径漏洞的补丁

Patch Description

Optimal Guard是日本Optim公司的一套反恶意软件解决方案。Installer是其中的一个安装程序。 Optimal Guard 1.1.21及之前的版本中的安装程序存在不可信搜索路径漏洞。攻击者可借助目录下恶意的DLL利用该漏洞获取权限。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

目前厂商已发布升级补丁以修复漏洞，补丁获取链接： https://www.optim.co.jp/contents/23246

Reference

http://jvndb.jvn.jp/jvndb/JVNDB-2017-000209

Impacted products

Name
OPTiM Corporation Optimal Guard <=1.1.21

Show details on source website

JSON

To clipboard

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2017-10836"
    }
  },
  "description": "Optimal Guard\u662f\u65e5\u672cOptim\u516c\u53f8\u7684\u4e00\u5957\u53cd\u6076\u610f\u8f6f\u4ef6\u89e3\u51b3\u65b9\u6848\u3002Installer\u662f\u5176\u4e2d\u7684\u4e00\u4e2a\u5b89\u88c5\u7a0b\u5e8f\u3002\r\n\r\nOptimal Guard 1.1.21\u53ca\u4e4b\u524d\u7684\u7248\u672c\u4e2d\u7684\u5b89\u88c5\u7a0b\u5e8f\u5b58\u5728\u4e0d\u53ef\u4fe1\u641c\u7d22\u8def\u5f84\u6f0f\u6d1e\u3002\u653b\u51fb\u8005\u53ef\u501f\u52a9\u76ee\u5f55\u4e0b\u6076\u610f\u7684DLL\u5229\u7528\u8be5\u6f0f\u6d1e\u83b7\u53d6\u6743\u9650\u3002",
  "discovererName": "Eili Masami of Tachibana Lab.",
  "formalWay": "\u76ee\u524d\u5382\u5546\u5df2\u53d1\u5e03\u5347\u7ea7\u8865\u4e01\u4ee5\u4fee\u590d\u6f0f\u6d1e\uff0c\u8865\u4e01\u83b7\u53d6\u94fe\u63a5\uff1a\r\nhttps://www.optim.co.jp/contents/23246",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2017-31585",
  "openTime": "2017-10-26",
  "patchDescription": "Optimal Guard\u662f\u65e5\u672cOptim\u516c\u53f8\u7684\u4e00\u5957\u53cd\u6076\u610f\u8f6f\u4ef6\u89e3\u51b3\u65b9\u6848\u3002Installer\u662f\u5176\u4e2d\u7684\u4e00\u4e2a\u5b89\u88c5\u7a0b\u5e8f\u3002\r\n\r\nOptimal Guard 1.1.21\u53ca\u4e4b\u524d\u7684\u7248\u672c\u4e2d\u7684\u5b89\u88c5\u7a0b\u5e8f\u5b58\u5728\u4e0d\u53ef\u4fe1\u641c\u7d22\u8def\u5f84\u6f0f\u6d1e\u3002\u653b\u51fb\u8005\u53ef\u501f\u52a9\u76ee\u5f55\u4e0b\u6076\u610f\u7684DLL\u5229\u7528\u8be5\u6f0f\u6d1e\u83b7\u53d6\u6743\u9650\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": "Optimal Guard\u5b89\u88c5\u7a0b\u5e8f\u4e0d\u53ef\u4fe1\u641c\u7d22\u8def\u5f84\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": "OPTiM Corporation Optimal Guard \u003c=1.1.21"
  },
  "referenceLink": "http://jvndb.jvn.jp/jvndb/JVNDB-2017-000209",
  "serverity": "\u9ad8",
  "submitTime": "2017-09-06",
  "title": "Optimal Guard\u5b89\u88c5\u7a0b\u5e8f\u4e0d\u53ef\u4fe1\u641c\u7d22\u8def\u5f84\u6f0f\u6d1e"
}

CVE-2017-10836 (GCVE-0-2017-10836)

Vulnerability from cvelistv5 – Published: 2017-08-28 20:00 – Updated: 2024-08-05 17:50

Summary

Untrusted search path vulnerability in Optimal Guard 1.1.21 and earlier allows an attacker to gain privileges via a Trojan horse DLL in an unspecified directory.

Severity

No CVSS data available.

CWE

Untrusted search path vulnerability

Assigner

jpcert jpcert root

References

2 references

URL	Tags
https://jvn.jp/en/jp/JVN87540575/index.html	third-party-advisoryx_refsource_JVN
https://www.optim.co.jp/contents/23246	x_refsource_MISC

Impacted products

1 product

Vendor	Product	Version
OPTiM Corporation	Optimal Guard	Affected: 1.1.21 and earlier

Date Public

2017-08-28 00:00

Show details on NVD website

JSON

To clipboard

{
  "containers": {
    "adp": [
      {
        "providerMetadata": {
          "dateUpdated": "2024-08-05T17:50:12.129Z",
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            ],
            "url": "https://www.optim.co.jp/contents/23246"
          }
        ],
        "title": "CVE Program Container"
      }
    ],
    "cna": {
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        {
          "product": "Optimal Guard",
          "vendor": "OPTiM Corporation",
          "versions": [
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      "providerMetadata": {
        "dateUpdated": "2017-08-28T19:57:01.000Z",
        "orgId": "ede6fdc4-6654-4307-a26d-3331c018e2ce",
        "shortName": "jpcert"
      },
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            "x_refsource_JVN"
          ],
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        },
        {
          "tags": [
            "x_refsource_MISC"
          ],
          "url": "https://www.optim.co.jp/contents/23246"
        }
      ],
      "x_legacyV4Record": {
        "CVE_data_meta": {
          "ASSIGNER": "vultures@jpcert.or.jp",
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        },
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    "dateReserved": "2017-07-04T00:00:00.000Z",
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    "state": "PUBLISHED"
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  "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.