Vulnerability-Lookup

CNVD-2018-10061

Vulnerability from cnvd - Published: 2018-05-22

Title

Hyland Perceptive Document Filters栈缓冲区溢出漏洞

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版本中存在栈缓冲区溢出漏洞。攻击者可借助特制的.doc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-2018-0534

Impacted products

Name
Hyland Software Hyland Perceptive Document Filters 11.4.0.2647

Show details on source website

JSON

To clipboard

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    "bid": {
      "bidNumber": "104023"
    }
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    "cve": {
      "cveNumber": "CVE-2018-3851"
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  "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\u6808\u7f13\u51b2\u533a\u6ea2\u51fa\u6f0f\u6d1e\u3002\u653b\u51fb\u8005\u53ef\u501f\u52a9\u7279\u5236\u7684.doc\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-2018-10061",
  "openTime": "2018-05-22",
  "products": {
    "product": "Hyland Software Hyland Perceptive Document Filters 11.4.0.2647"
  },
  "referenceLink": "https://talosintelligence.com/vulnerability_reports/TALOS-2018-0534",
  "serverity": "\u9ad8",
  "submitTime": "2018-04-27",
  "title": "Hyland Perceptive Document Filters\u6808\u7f13\u51b2\u533a\u6ea2\u51fa\u6f0f\u6d1e"
}

CVE-2018-3851 (GCVE-0-2018-3851)

Vulnerability from cvelistv5 – Published: 2018-04-26 20:00 – Updated: 2024-09-17 02:16

Summary

In Hyland Perceptive Document Filters 11.4.0.2647 - x86/x64 Windows/Linux, an exploitable stack-based buffer overflow exists in the DOC-to-HTML conversion functionality of the Hyland Perceptive Document Filters version 11.4.0.2647. A crafted .doc document can lead to a stack-based buffer, resulting in direct code execution.

Severity

8.8 (High)


                        
                          CVSS:3.0/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H

CWE

Out of bounds Write

Assigner

talos mitre root

References

2 references

URL	Tags
http://www.securityfocus.com/bid/104023	vdb-entryx_refsource_BID
https://talosintelligence.com/vulnerability_repor…	x_refsource_MISC

Impacted products

1 product

Vendor	Product	Version
Hyland Software, Inc.	Perceptive Document Filters	Affected: 11.4.0.2647 - x86/x64 Windows/Linux

Date Public

2018-04-26 00:00

Show details on NVD website

JSON

To clipboard

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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.