CNVD-2018-10063
Vulnerability from cnvd - Published: 2018-05-22
VLAI
Title
Hyland Perceptive Document Filters内存错误引用漏洞
Description
Hyland Perceptive Document Filters是美国Hyland Software公司的一套文档转换工具包。该产品能够从文档中识别和提取元数据,并支持多种类型文档的转换。
基于Windows(32和64位)/Linux平台的Hyland Perceptive Document Filters 11.4.0.2647版本中存在安全漏洞。攻击者可借助特制的DOCX文档利用该漏洞执行代码。
Severity
高
Formal description
厂商尚未提供漏洞修复方案,请关注厂商主页更新: https://www.hyland.com/en/perceptive#docfilters
Reference
https://talosintelligence.com/vulnerability_reports/TALOS-2018-0527
Impacted products
| Name | Hyland Software Hyland Perceptive Document Filters 11.4.0.2647 |
|---|
{
"bids": {
"bid": {
"bidNumber": "104023"
}
},
"cves": {
"cve": {
"cveNumber": "CVE-2018-3844"
}
},
"description": "Hyland Perceptive Document Filters\u662f\u7f8e\u56fdHyland Software\u516c\u53f8\u7684\u4e00\u5957\u6587\u6863\u8f6c\u6362\u5de5\u5177\u5305\u3002\u8be5\u4ea7\u54c1\u80fd\u591f\u4ece\u6587\u6863\u4e2d\u8bc6\u522b\u548c\u63d0\u53d6\u5143\u6570\u636e\uff0c\u5e76\u652f\u6301\u591a\u79cd\u7c7b\u578b\u6587\u6863\u7684\u8f6c\u6362\u3002\r\n\r\n\u57fa\u4e8eWindows\uff0832\u548c64\u4f4d\uff09/Linux\u5e73\u53f0\u7684Hyland Perceptive Document Filters 11.4.0.2647\u7248\u672c\u4e2d\u5b58\u5728\u5b89\u5168\u6f0f\u6d1e\u3002\u653b\u51fb\u8005\u53ef\u501f\u52a9\u7279\u5236\u7684DOCX\u6587\u6863\u5229\u7528\u8be5\u6f0f\u6d1e\u6267\u884c\u4ee3\u7801\u3002",
"discovererName": "Marcin \u0027Icewall\u0027 Noga of Cisco Talos",
"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\nhttps://www.hyland.com/en/perceptive#docfilters",
"isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
"number": "CNVD-2018-10063",
"openTime": "2018-05-22",
"products": {
"product": "Hyland Software Hyland Perceptive Document Filters 11.4.0.2647"
},
"referenceLink": "https://talosintelligence.com/vulnerability_reports/TALOS-2018-0527",
"serverity": "\u9ad8",
"submitTime": "2018-04-27",
"title": "Hyland Perceptive Document Filters\u5185\u5b58\u9519\u8bef\u5f15\u7528\u6f0f\u6d1e"
}
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Nomenclature
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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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