Vulnerability-Lookup

CNVD-2021-42387

Vulnerability from cnvd - Published: 2021-06-17

Title

OpenText Brava! Desktop越界写入漏洞

Description

OpenText Brava! Desktop是加拿大OpenText（Opentext）公司的一款基于浏览器的通用文档查看器。该产品支持查看、注释和编辑多种类型的文档。 OpenText Brava! Desktop存在越界写入漏洞，该漏洞源于在DXF文件的解析中，缺乏对用户提供的数据的正确验证。攻击者可利用该漏洞在当前进程的上下文中执行代码。

Severity

高

Formal description

目前厂商暂未发布修复措施解决此安全问题，建议使用此软件的用户随时关注厂商主页或参考网址以获取解决办法： https://attackerkb.com/topics/ssK1C0J6sd/cve-2021-31502

Reference

https://www.zerodayinitiative.com/advisories/ZDI-21-687/

Impacted products

Name
OpenText Brava! Desktop

Show details on source website

JSON

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  "cves": {
    "cve": {
      "cveNumber": "CVE-2021-31509"
    }
  },
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  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2021-42387",
  "openTime": "2021-06-17",
  "products": {
    "product": "OpenText Brava! Desktop"
  },
  "referenceLink": "https://www.zerodayinitiative.com/advisories/ZDI-21-687/",
  "serverity": "\u9ad8",
  "submitTime": "2021-06-16",
  "title": "OpenText Brava! Desktop\u8d8a\u754c\u5199\u5165\u6f0f\u6d1e"
}

CVE-2021-31509 (GCVE-0-2021-31509)

Vulnerability from cvelistv5 – Published: 2021-06-29 14:33 – Updated: 2024-08-03 23:03

Summary

This vulnerability allows remote attackers to execute arbitrary code on affected installations of OpenText Brava! Desktop 16.6.3.84. User interaction is required to exploit this vulnerability in that the target must visit a malicious page or open a malicious file. The specific flaw exists within the parsing of DXF files. The issue results from the lack of proper validation of user-supplied data, which can result in a write past the end of an allocated buffer. An attacker can leverage this vulnerability to execute code in the context of the current process. Was ZDI-CAN-13309.

Severity

7.8 (High)


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

CWE

CWE-787 - Out-of-bounds Write

Assigner

zdi mitre root

References

1 reference

URL	Tags
https://www.zerodayinitiative.com/advisories/ZDI-…	x_refsource_MISC

Impacted products

1 product

Vendor	Product	Version
OpenText	Brava! Desktop	Affected: 16.6.3.84

Credits

Michael DePlante (@izobashi) of Trend Micro's Zero Day Initiative

Show details on NVD website

JSON

To clipboard

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            "url": "https://www.zerodayinitiative.com/advisories/ZDI-21-687/"
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    "cna": {
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        }
      ],
      "metrics": [
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          "cvssV3_0": {
            "attackComplexity": "LOW",
            "attackVector": "LOCAL",
            "availabilityImpact": "HIGH",
            "baseScore": 7.8,
            "baseSeverity": "HIGH",
            "confidentialityImpact": "HIGH",
            "integrityImpact": "HIGH",
            "privilegesRequired": "NONE",
            "scope": "UNCHANGED",
            "userInteraction": "REQUIRED",
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                      "product_name": "Brava! Desktop",
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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.