CNVD-2018-03303
Vulnerability from cnvd - Published: 2018-02-13
VLAI
Title
Jiangmin Antivirus拒绝服务漏洞(CNVD-2018-03303)
Description
Jiangmin Antivirus是中国江民(Jiangmin)新科技术公司的一套在线杀毒软件。
Jiangmin Antivirus 16.0.0.100版本中的KVFG.sys驱动程序文件存在安全漏洞,该漏洞源于程序未能验证IOCtl 0x2208C0的输入值。本地攻击者可利用该漏洞造成拒绝服务。
Severity
低
Formal description
厂商尚未提供漏洞修复方案,请关注厂商主页更新: http://www.jiangmin.com/
Reference
https://nvd.nist.gov/vuln/detail/CVE-2018-6788
https://github.com/ZhiyuanWang-Chengdu-Qihoo360/Jiangmin_Antivirus_POC/tree/master/KVFG_2208C0
Impacted products
| Name | Jiangmin Antivirus 16.0.0.100 |
|---|
{
"cves": {
"cve": {
"cveNumber": "CVE-2018-6788"
}
},
"description": "Jiangmin Antivirus\u662f\u4e2d\u56fd\u6c5f\u6c11\uff08Jiangmin\uff09\u65b0\u79d1\u6280\u672f\u516c\u53f8\u7684\u4e00\u5957\u5728\u7ebf\u6740\u6bd2\u8f6f\u4ef6\u3002\r\n\r\nJiangmin Antivirus 16.0.0.100\u7248\u672c\u4e2d\u7684KVFG.sys\u9a71\u52a8\u7a0b\u5e8f\u6587\u4ef6\u5b58\u5728\u5b89\u5168\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u7a0b\u5e8f\u672a\u80fd\u9a8c\u8bc1IOCtl 0x2208C0\u7684\u8f93\u5165\u503c\u3002\u672c\u5730\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u9020\u6210\u62d2\u7edd\u670d\u52a1\u3002",
"discovererName": "Unknow",
"formalWay": "\u5382\u5546\u5c1a\u672a\u63d0\u4f9b\u6f0f\u6d1e\u4fee\u590d\u65b9\u6848\uff0c\u8bf7\u5173\u6ce8\u5382\u5546\u4e3b\u9875\u66f4\u65b0\uff1a\r\nhttp://www.jiangmin.com/",
"isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
"number": "CNVD-2018-03303",
"openTime": "2018-02-13",
"products": {
"product": "Jiangmin Antivirus 16.0.0.100"
},
"referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2018-6788\r\nhttps://github.com/ZhiyuanWang-Chengdu-Qihoo360/Jiangmin_Antivirus_POC/tree/master/KVFG_2208C0",
"serverity": "\u4f4e",
"submitTime": "2018-02-07",
"title": "Jiangmin Antivirus\u62d2\u7edd\u670d\u52a1\u6f0f\u6d1e\uff08CNVD-2018-03303\uff09"
}
Loading…
Loading…
Drag nodes to arrange them. Double-click a related vulnerability to open it, or a source to visit its link. The Physics button on the left tunes the layout and the simulation; the legend at the bottom left hides or shows nodes by kind and by sighting type.
Experimental. This forecast is provided for visualization only and may change without notice. Do not use it for operational decisions.
Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.
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.
Vulnerability timeline
Sightings and recorded dates, grouped by day · UTC
Loading timeline…
Loading…
Loading…
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.
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.
Loading…
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.