Vulnerability-Lookup

CNVD-2017-04320

Vulnerability from cnvd - Published: 2017-04-12

Title

多个Trend Micro产品DLL加载本地代码注入漏洞

Description

Trend Micro Maximum Security等都是美国趋势科技（Trend Micro）公司的杀毒软件。多个Trend Micro产品存在本地代码注入漏洞。本地攻击者可利用此漏洞在受影响程序中运行的系统的上下文中执行任意代码，获取受影响系统的完全控制权限。

Severity

高

Formal description

目前没有详细的解决方案提供： http://www.trend.com/

Reference

http://cybellum.com/doubleagent-taking-full-control-antivirus/ http://www.securityfocus.com/bid/97031

Impacted products

Name
['Trend Micro Maximum Security <=11.0', 'Trend Micro Internet Security <=11.0', 'Trend Micro Antivirus+ Security <=11.0']

Show details on source website

JSON

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{
  "bids": {
    "bid": {
      "bidNumber": "97031"
    }
  },
  "cves": {
    "cve": {
      "cveNumber": "CVE-2017-5565",
      "cveUrl": "http://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2017-5565"
    }
  },
  "description": "Trend Micro Maximum Security\u7b49\u90fd\u662f\u7f8e\u56fd\u8d8b\u52bf\u79d1\u6280\uff08Trend Micro\uff09\u516c\u53f8\u7684\u6740\u6bd2\u8f6f\u4ef6\u3002\r\n\r\n\u591a\u4e2aTrend Micro\u4ea7\u54c1\u5b58\u5728\u672c\u5730\u4ee3\u7801\u6ce8\u5165\u6f0f\u6d1e\u3002\u672c\u5730\u653b\u51fb\u8005\u53ef\u5229\u7528\u6b64\u6f0f\u6d1e\u5728\u53d7\u5f71\u54cd\u7a0b\u5e8f\u4e2d\u8fd0\u884c\u7684\u7cfb\u7edf\u7684\u4e0a\u4e0b\u6587\u4e2d\u6267\u884c\u4efb\u610f\u4ee3\u7801\uff0c\u83b7\u53d6\u53d7\u5f71\u54cd\u7cfb\u7edf\u7684\u5b8c\u5168\u63a7\u5236\u6743\u9650\u3002",
  "discovererName": "Michael Engstler",
  "formalWay": "\u76ee\u524d\u6ca1\u6709\u8be6\u7ec6\u7684\u89e3\u51b3\u65b9\u6848\u63d0\u4f9b\uff1a\r\nhttp://www.trend.com/",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2017-04320",
  "openTime": "2017-04-12",
  "products": {
    "product": [
      "Trend Micro Maximum Security \u003c=11.0",
      "Trend Micro Internet Security \u003c=11.0",
      "Trend Micro Antivirus+ Security \u003c=11.0"
    ]
  },
  "referenceLink": "http://cybellum.com/doubleagent-taking-full-control-antivirus/\r\nhttp://www.securityfocus.com/bid/97031",
  "serverity": "\u9ad8",
  "submitTime": "2017-03-22",
  "title": "\u591a\u4e2aTrend Micro\u4ea7\u54c1DLL\u52a0\u8f7d\u672c\u5730\u4ee3\u7801\u6ce8\u5165\u6f0f\u6d1e"
}

CVE-2017-5565 (GCVE-0-2017-5565)

Vulnerability from cvelistv5 – Published: 2017-03-21 16:00 – Updated: 2024-08-05 15:04

Summary

Code injection vulnerability in Trend Micro Maximum Security 11.0 (and earlier), Internet Security 11.0 (and earlier), and Antivirus+ Security 11.0 (and earlier) allows a local attacker to bypass a self-protection mechanism, inject arbitrary code, and take full control of any Trend Micro process via a "DoubleAgent" attack. One perspective on this issue is that (1) these products do not use the Protected Processes feature, and therefore an attacker can enter an arbitrary Application Verifier Provider DLL under Image File Execution Options in the registry; (2) the self-protection mechanism is intended to block all local processes (regardless of privileges) from modifying Image File Execution Options for these products; and (3) this mechanism can be bypassed by an attacker who temporarily renames Image File Execution Options during the attack.

Severity

No CVSS data available.

CWE

Assigner

mitre mitre root

References

4 references

URL	Tags
http://www.securityfocus.com/bid/97031	vdb-entryx_refsource_BID
http://cybellum.com/doubleagent-taking-full-contr…	x_refsource_MISC
http://www.securitytracker.com/id/1038206	vdb-entryx_refsource_SECTRACK
http://cybellum.com/doubleagentzero-day-code-inje…	x_refsource_MISC

Date Public

2017-03-21 00:00

Show details on NVD website

JSON

To clipboard

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          "dateUpdated": "2024-08-05T15:04:15.339Z",
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        "references": [
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            "name": "97031",
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              "vdb-entry",
              "x_refsource_BID",
              "x_transferred"
            ],
            "url": "http://www.securityfocus.com/bid/97031"
          },
          {
            "tags": [
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            ],
            "url": "http://cybellum.com/doubleagent-taking-full-control-antivirus/"
          },
          {
            "name": "1038206",
            "tags": [
              "vdb-entry",
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            "url": "http://www.securitytracker.com/id/1038206"
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          {
            "tags": [
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              "x_transferred"
            ],
            "url": "http://cybellum.com/doubleagentzero-day-code-injection-and-persistence-technique/"
          }
        ],
        "title": "CVE Program Container"
      }
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          "url": "http://cybellum.com/doubleagentzero-day-code-injection-and-persistence-technique/"
        }
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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.