Vulnerability-Lookup

CNVD-2018-10062

Vulnerability from cnvd - Published: 2018-05-22

Title

Hyland Perceptive Document Filters SkCanvas对象双重释放漏洞

Description

Hyland Perceptive Document Filters是一个工具包，可让应用程序开发人员识别和提取元数据，及转换和渲染几乎任何文件类型。 Hyland Perceptive Document Filters 11.4.0.2647 - x86/x64 Windows/Linux存在SkCanvas对象双重释放漏洞。攻击者可通过特制OpenDocument文档利用该漏洞实现直接代码执行。

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-2018-0528

Impacted products

Name
Hyland Software Hyland Perceptive Document Filters 11.4.0.2647

Show details on source website

JSON

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{
  "bids": {
    "bid": {
      "bidNumber": "104023"
    }
  },
  "cves": {
    "cve": {
      "cveNumber": "CVE-2018-3845"
    }
  },
  "description": "Hyland Perceptive Document Filters\u662f\u4e00\u4e2a\u5de5\u5177\u5305\uff0c\u53ef\u8ba9\u5e94\u7528\u7a0b\u5e8f\u5f00\u53d1\u4eba\u5458\u8bc6\u522b\u548c\u63d0\u53d6\u5143\u6570\u636e\uff0c\u53ca\u8f6c\u6362\u548c\u6e32\u67d3\u51e0\u4e4e\u4efb\u4f55\u6587\u4ef6\u7c7b\u578b\u3002\r\n\r\nHyland Perceptive Document Filters 11.4.0.2647 - x86/x64 Windows/Linux\u5b58\u5728SkCanvas\u5bf9\u8c61\u53cc\u91cd\u91ca\u653e\u6f0f\u6d1e\u3002\u653b\u51fb\u8005\u53ef\u901a\u8fc7\u7279\u5236OpenDocument\u6587\u6863\u5229\u7528\u8be5\u6f0f\u6d1e\u5b9e\u73b0\u76f4\u63a5\u4ee3\u7801\u6267\u884c\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-2018-10062",
  "openTime": "2018-05-22",
  "products": {
    "product": "Hyland Software Hyland Perceptive Document Filters 11.4.0.2647"
  },
  "referenceLink": "https://talosintelligence.com/vulnerability_reports/TALOS-2018-0528",
  "serverity": "\u9ad8",
  "submitTime": "2018-04-27",
  "title": "Hyland Perceptive Document Filters SkCanvas\u5bf9\u8c61\u53cc\u91cd\u91ca\u653e\u6f0f\u6d1e"
}

CVE-2018-3845 (GCVE-0-2018-3845)

Vulnerability from cvelistv5 – Published: 2018-04-26 20:00 – Updated: 2024-09-17 01:31

Summary

In Hyland Perceptive Document Filters 11.4.0.2647 - x86/x64 Windows/Linux, a crafted OpenDocument document can lead to a SkCanvas object double free 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

remote code execution

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.