CNVD-2021-99297
Vulnerability from cnvd - Published: 2021-12-13
VLAI
Title
McAfee Data Loss Prevention Discover缓冲区溢出漏洞
Description
McAfee Data Loss Prevention Discover (McAfee DLP Discover)可帮助您定位和分类敏感数据,了解其使用方式并对其进行保护。
McAfee Data Loss Prevention Discover 11.6.100之前版本存在缓冲区溢出漏洞。该漏洞源于目标缓冲区为固定大小且对源大小的检查不正确。攻击者可通过将特制Ami Pro (.sam)文件置于机器中并让DLP Discover进行扫描,从而可利用该漏洞执行任意代码。
Severity
中
Patch Name
McAfee Data Loss Prevention Discover缓冲区溢出漏洞的补丁
Patch Description
McAfee Data Loss Prevention Discover (McAfee DLP Discover)可帮助您定位和分类敏感数据,了解其使用方式并对其进行保护。攻击者可通过将特制Ami Pro (.sam)文件置于机器中并让DLP Discover进行扫描,从而可利用该漏洞执行任意代码。
McAfee Data Loss Prevention Discover 11.6.100之前版本存在缓冲区溢出漏洞。该漏洞源于目标缓冲区为固定大小且对源大小的检查不正确。攻击者可通过将特制Ami Pro (.sam)文件置于机器中并让DLP Discover进行扫描,从而可利用该漏洞执行任意代码。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
厂商已发布了漏洞修复程序,请及时关注更新: https://kc.mcafee.com/corporate/index?page=content&id=SB10368
Reference
https://nvd.nist.gov/vuln/detail/CVE-2021-31845
Impacted products
| Name | Mcafee Data Loss Prevention Discover <11.6.100 |
|---|
{
"cves": {
"cve": {
"cveNumber": "CVE-2021-31845",
"cveUrl": "https://nvd.nist.gov/vuln/detail/CVE-2021-31845"
}
},
"description": "McAfee Data Loss Prevention Discover (McAfee DLP Discover)\u53ef\u5e2e\u52a9\u60a8\u5b9a\u4f4d\u548c\u5206\u7c7b\u654f\u611f\u6570\u636e\uff0c\u4e86\u89e3\u5176\u4f7f\u7528\u65b9\u5f0f\u5e76\u5bf9\u5176\u8fdb\u884c\u4fdd\u62a4\u3002\n\nMcAfee Data Loss Prevention Discover 11.6.100\u4e4b\u524d\u7248\u672c\u5b58\u5728\u7f13\u51b2\u533a\u6ea2\u51fa\u6f0f\u6d1e\u3002\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u76ee\u6807\u7f13\u51b2\u533a\u4e3a\u56fa\u5b9a\u5927\u5c0f\u4e14\u5bf9\u6e90\u5927\u5c0f\u7684\u68c0\u67e5\u4e0d\u6b63\u786e\u3002\u653b\u51fb\u8005\u53ef\u901a\u8fc7\u5c06\u7279\u5236Ami Pro (.sam)\u6587\u4ef6\u7f6e\u4e8e\u673a\u5668\u4e2d\u5e76\u8ba9DLP Discover\u8fdb\u884c\u626b\u63cf\uff0c\u4ece\u800c\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u6267\u884c\u4efb\u610f\u4ee3\u7801\u3002",
"formalWay": "\u5382\u5546\u5df2\u53d1\u5e03\u4e86\u6f0f\u6d1e\u4fee\u590d\u7a0b\u5e8f\uff0c\u8bf7\u53ca\u65f6\u5173\u6ce8\u66f4\u65b0\uff1a\r\nhttps://kc.mcafee.com/corporate/index?page=content\u0026id=SB10368",
"isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
"number": "CNVD-2021-99297",
"openTime": "2021-12-13",
"patchDescription": "McAfee Data Loss Prevention Discover (McAfee DLP Discover)\u53ef\u5e2e\u52a9\u60a8\u5b9a\u4f4d\u548c\u5206\u7c7b\u654f\u611f\u6570\u636e\uff0c\u4e86\u89e3\u5176\u4f7f\u7528\u65b9\u5f0f\u5e76\u5bf9\u5176\u8fdb\u884c\u4fdd\u62a4\u3002\u653b\u51fb\u8005\u53ef\u901a\u8fc7\u5c06\u7279\u5236Ami Pro (.sam)\u6587\u4ef6\u7f6e\u4e8e\u673a\u5668\u4e2d\u5e76\u8ba9DLP Discover\u8fdb\u884c\u626b\u63cf\uff0c\u4ece\u800c\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u6267\u884c\u4efb\u610f\u4ee3\u7801\u3002\r\n\r\nMcAfee Data Loss Prevention Discover 11.6.100\u4e4b\u524d\u7248\u672c\u5b58\u5728\u7f13\u51b2\u533a\u6ea2\u51fa\u6f0f\u6d1e\u3002\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u76ee\u6807\u7f13\u51b2\u533a\u4e3a\u56fa\u5b9a\u5927\u5c0f\u4e14\u5bf9\u6e90\u5927\u5c0f\u7684\u68c0\u67e5\u4e0d\u6b63\u786e\u3002\u653b\u51fb\u8005\u53ef\u901a\u8fc7\u5c06\u7279\u5236Ami Pro (.sam)\u6587\u4ef6\u7f6e\u4e8e\u673a\u5668\u4e2d\u5e76\u8ba9DLP Discover\u8fdb\u884c\u626b\u63cf\uff0c\u4ece\u800c\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u6267\u884c\u4efb\u610f\u4ee3\u7801\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": "McAfee Data Loss Prevention Discover\u7f13\u51b2\u533a\u6ea2\u51fa\u6f0f\u6d1e\u7684\u8865\u4e01",
"products": {
"product": "Mcafee Data Loss Prevention Discover \u003c11.6.100"
},
"referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2021-31845",
"serverity": "\u4e2d",
"submitTime": "2021-09-18",
"title": "McAfee Data Loss Prevention Discover\u7f13\u51b2\u533a\u6ea2\u51fa\u6f0f\u6d1e"
}
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.