CNVD-2016-07082
Vulnerability from cnvd - Published: 2016-09-02
VLAI
Title
多款Kaspersky产品本地拒绝服务漏洞
Description
Kaspersky Total Security等都是俄罗斯卡巴斯基实验室(Kaspersky Lab)的杀毒软件。
多款Kaspersky产品中存在本地拒绝服务漏洞。本地攻击者可利用该漏洞造成拒绝服务。
Severity
低
Patch Name
多款Kaspersky产品本地拒绝服务漏洞的补丁
Patch Description
Kaspersky Total Security等都是俄罗斯卡巴斯基实验室(Kaspersky Lab)的杀毒软件。
多款Kaspersky产品中存在本地拒绝服务漏洞。本地攻击者可利用该漏洞造成拒绝服务。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
目前厂商已经发布了升级补丁以修复此安全问题,补丁获取链接: https://support.kaspersky.com/vulnerability.aspx?el=12430#250816_1
Reference
https://support.kaspersky.com/vulnerability.aspx?el=12430#250816_1
Impacted products
| Name | ['Kaspersky Total Security 16.0.0.614', 'Kaspersky Internet Security 16.0.0.614', 'Kaspersky Anti-Virus 16.0.0.614'] |
|---|
{
"bids": {
"bid": {
"bidNumber": "92683"
}
},
"cves": {
"cve": {
"cveNumber": "CVE-2016-4307"
}
},
"description": "Kaspersky Total Security\u7b49\u90fd\u662f\u4fc4\u7f57\u65af\u5361\u5df4\u65af\u57fa\u5b9e\u9a8c\u5ba4\uff08Kaspersky Lab\uff09\u7684\u6740\u6bd2\u8f6f\u4ef6\u3002\r\n\r\n\u591a\u6b3eKaspersky\u4ea7\u54c1\u4e2d\u5b58\u5728\u672c\u5730\u62d2\u7edd\u670d\u52a1\u6f0f\u6d1e\u3002\u672c\u5730\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u9020\u6210\u62d2\u7edd\u670d\u52a1\u3002",
"discovererName": "Piotr Bania of Cisco Talos",
"formalWay": "\u76ee\u524d\u5382\u5546\u5df2\u7ecf\u53d1\u5e03\u4e86\u5347\u7ea7\u8865\u4e01\u4ee5\u4fee\u590d\u6b64\u5b89\u5168\u95ee\u9898\uff0c\u8865\u4e01\u83b7\u53d6\u94fe\u63a5\uff1a\r\nhttps://support.kaspersky.com/vulnerability.aspx?el=12430#250816_1",
"isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
"number": "CNVD-2016-07082",
"openTime": "2016-09-02",
"patchDescription": "Kaspersky Total Security\u7b49\u90fd\u662f\u4fc4\u7f57\u65af\u5361\u5df4\u65af\u57fa\u5b9e\u9a8c\u5ba4\uff08Kaspersky Lab\uff09\u7684\u6740\u6bd2\u8f6f\u4ef6\u3002\r\n\r\n\u591a\u6b3eKaspersky\u4ea7\u54c1\u4e2d\u5b58\u5728\u672c\u5730\u62d2\u7edd\u670d\u52a1\u6f0f\u6d1e\u3002\u672c\u5730\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u9020\u6210\u62d2\u7edd\u670d\u52a1\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": "\u591a\u6b3eKaspersky\u4ea7\u54c1\u672c\u5730\u62d2\u7edd\u670d\u52a1\u6f0f\u6d1e\u7684\u8865\u4e01",
"products": {
"product": [
"Kaspersky Total Security 16.0.0.614",
"Kaspersky Internet Security 16.0.0.614",
"Kaspersky Anti-Virus 16.0.0.614"
]
},
"referenceLink": "https://support.kaspersky.com/vulnerability.aspx?el=12430#250816_1",
"serverity": "\u4f4e",
"submitTime": "2016-09-02",
"title": "\u591a\u6b3eKaspersky\u4ea7\u54c1\u672c\u5730\u62d2\u7edd\u670d\u52a1\u6f0f\u6d1e"
}
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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.
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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.
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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.