Vulnerability-Lookup

CNVD-2022-32768

Vulnerability from cnvd - Published: 2022-04-26

Title

Laurent Rineau CGAL代码执行漏洞（CNVD-2022-32768）

Description

Laurent Rineau CGAL是Laurent Rineau开源的一个应用软件。提供通过C ++库的形式访问几何算法的功能。 Laurent Rineau CGAL存在代码执行漏洞，攻击者可利用漏洞通过构建的格式错误的文件可能会导致超出范围的读取和类型混淆，从而导致代码执行。

Severity

中

Formal description

目前没有详细的解决方案提供： https://github.com/CGAL/cgal

Reference

http://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2020-28616

Impacted products

Name
Laurent Rineau CGAL 5.1.1

Show details on source website

JSON

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  "cves": {
    "cve": {
      "cveNumber": "CVE-2020-28616",
      "cveUrl": "https://nvd.nist.gov/vuln/detail/CVE-2020-28616"
    }
  },
  "description": "Laurent Rineau CGAL\u662fLaurent Rineau\u5f00\u6e90\u7684\u4e00\u4e2a\u5e94\u7528\u8f6f\u4ef6\u3002\u63d0\u4f9b\u901a\u8fc7C ++\u5e93\u7684\u5f62\u5f0f\u8bbf\u95ee\u51e0\u4f55\u7b97\u6cd5\u7684\u529f\u80fd\u3002\n\nLaurent Rineau CGAL\u5b58\u5728\u4ee3\u7801\u6267\u884c\u6f0f\u6d1e\uff0c\u653b\u51fb\u8005\u53ef\u5229\u7528\u6f0f\u6d1e\u901a\u8fc7\u6784\u5efa\u7684\u683c\u5f0f\u9519\u8bef\u7684\u6587\u4ef6\u53ef\u80fd\u4f1a\u5bfc\u81f4\u8d85\u51fa\u8303\u56f4\u7684\u8bfb\u53d6\u548c\u7c7b\u578b\u6df7\u6dc6\uff0c\u4ece\u800c\u5bfc\u81f4\u4ee3\u7801\u6267\u884c\u3002",
  "formalWay": "\u76ee\u524d\u6ca1\u6709\u8be6\u7ec6\u7684\u89e3\u51b3\u65b9\u6848\u63d0\u4f9b\uff1a\r\nhttps://github.com/CGAL/cgal",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2022-32768",
  "openTime": "2022-04-26",
  "products": {
    "product": "Laurent Rineau CGAL 5.1.1"
  },
  "referenceLink": "http://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2020-28616",
  "serverity": "\u4e2d",
  "submitTime": "2022-04-21",
  "title": "Laurent Rineau CGAL\u4ee3\u7801\u6267\u884c\u6f0f\u6d1e\uff08CNVD-2022-32768\uff09"
}

CVE-2020-28616 (GCVE-0-2020-28616)

Vulnerability from cvelistv5 – Published: 2022-04-18 16:56 – Updated: 2025-04-23 18:37

Summary

Multiple code execution vulnerabilities exists in the Nef polygon-parsing functionality of CGAL libcgal CGAL-5.1.1. A specially crafted malformed file can lead to an out-of-bounds read and type confusion, which could lead to code execution. An attacker can provide malicious input to trigger any of these vulnerabilities. An oob read vulnerability exists in Nef_S2/SNC_io_parser.h SNC_io_parser<EW>::read_vertex() vh->sfaces_begin().

Severity

10 (Critical)


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

SSVC

Exploitation: poc Automatable: yes Technical Impact: total

CISA Coordinator · CISA-ADP (v2.0.3)

Decision recorded 2025-04-23 13:11 UTC

CWE

CWE-129 - Improper Validation of Array Index

Assigner

talos mitre root

References

3 references

URL	Tags
https://talosintelligence.com/vulnerability_repor…
https://lists.debian.org/debian-lts-announce/2022…	mailing-list
https://security.gentoo.org/glsa/202305-34	vendor-advisory

Impacted products

1 product

Vendor	Product	Version
CGAL Project	libcgal	Affected: CGAL-5.1.1

Date Public

2021-02-24 00:00

Show details on NVD website

JSON

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          "dateUpdated": "2024-08-04T16:40:59.802Z",
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        "title": "CVE Program Container"
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                "id": "CVE-2020-28616",
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                  }
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                "timestamp": "2025-04-23T13:11:24.872622Z",
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            "confidentialityImpact": "HIGH",
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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.