Vulnerability-Lookup

CNVD-2016-00137

Vulnerability from cnvd - Published: 2016-01-11

Title

Intel Network Adapter Diagnostic Driver远程代码执行漏洞

Description

Intel Network Adapter Diagnostic Driver是美国英特尔（Intel）公司的一套网络适配器诊断工具。 Intel Network Adapter Diagnostic Driver中存在远程代码执行漏洞。攻击者可利用该漏洞在内核空间上下文中执行任意代码，也可能造成拒绝服务。

Severity

高

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.intel.com/

Reference

http://www.securityfocus.com/bid/79623

Impacted products

Name
Intel Network Adapter Diagnostic Driver

Show details on source website

JSON

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      "bidNumber": "79623"
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  },
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    "cve": {
      "cveNumber": "CVE-2015-2291"
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  "description": "Intel Network Adapter Diagnostic Driver\u662f\u7f8e\u56fd\u82f1\u7279\u5c14\uff08Intel\uff09\u516c\u53f8\u7684\u4e00\u5957\u7f51\u7edc\u9002\u914d\u5668\u8bca\u65ad\u5de5\u5177\u3002\r\n\r\nIntel Network Adapter Diagnostic Driver\u4e2d\u5b58\u5728\u8fdc\u7a0b\u4ee3\u7801\u6267\u884c\u6f0f\u6d1e\u3002 \u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u5728\u5185\u6838\u7a7a\u95f4\u4e0a\u4e0b\u6587\u4e2d\u6267\u884c\u4efb\u610f\u4ee3\u7801\uff0c\u4e5f\u53ef\u80fd\u9020\u6210\u62d2\u7edd\u670d\u52a1\u3002",
  "discovererName": "Glafkos Charalambous",
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  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2016-00137",
  "openTime": "2016-01-11",
  "products": {
    "product": "Intel Network Adapter Diagnostic Driver"
  },
  "referenceLink": "http://www.securityfocus.com/bid/79623",
  "serverity": "\u9ad8",
  "submitTime": "2016-01-08",
  "title": "Intel Network Adapter Diagnostic Driver\u8fdc\u7a0b\u4ee3\u7801\u6267\u884c\u6f0f\u6d1e"
}

CVE-2015-2291 (GCVE-0-2015-2291)

Vulnerability from cvelistv5 – Published: 2017-08-09 18:00 – Updated: 2026-08-04 03:55

Summary

(1) IQVW32.sys before 1.3.1.0 and (2) IQVW64.sys before 1.3.1.0 in the Intel Ethernet diagnostics driver for Windows allows local users to cause a denial of service or possibly execute arbitrary code with kernel privileges via a crafted (a) 0x80862013, (b) 0x8086200B, (c) 0x8086200F, or (d) 0x80862007 IOCTL call.

Severity

7.8 (High)


                        
                          CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H

SSVC

Exploitation: active Automatable: no Technical Impact: partial

CISA Coordinator · CISA-ADP (v2.0.3)

Decision recorded 2023-02-13 00:00 UTC

CWE

n/a
CWE-20 - Improper Input Validation

Assigner

mitre mitre root

References

5 references

URL	Tags
https://www.exploit-db.com/exploits/36392/	exploitx_refsource_EXPLOIT-DB
https://security-center.intel.com/advisory.aspx?i…	x_refsource_CONFIRM
http://packetstormsecurity.com/files/130854/Intel…	x_refsource_MISC
http://www.securityfocus.com/bid/79623	vdb-entryx_refsource_BID
https://www.cisa.gov/known-exploited-vulnerabilit…	government-resource

Date Public

2015-03-14 00:00

Show details on NVD website

JSON

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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.