Vulnerability-Lookup

CNVD-2019-40945

Vulnerability from cnvd - Published: 2019-11-15

Title

libLAS分段错误漏洞

Description

libLAS是一个用于读写常见的LAS LiDAR格式的C/C ++库。 libLAS 1.8.1存在分段错误漏洞。该漏洞源于libLAS中的spatialreference.cpp中的liblas::SpatialReference::GetGTIF()存在非法地址访问。攻击者可利用该漏洞导致拒绝服务。

Severity

中

Formal description

厂商尚未提供漏洞修复方案，请关注厂商主页更新： https://github.com/libLAS/libLAS

Reference

https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2018-20539

Impacted products

Name
libLAS libLAS 1.8.1

Show details on source website

JSON

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  "cves": {
    "cve": {
      "cveNumber": "CVE-2018-20539"
    }
  },
  "description": "libLAS\u662f\u4e00\u4e2a\u7528\u4e8e\u8bfb\u5199\u5e38\u89c1\u7684LAS LiDAR\u683c\u5f0f\u7684C/C ++\u5e93\u3002\n\nlibLAS 1.8.1\u5b58\u5728\u5206\u6bb5\u9519\u8bef\u6f0f\u6d1e\u3002\u8be5\u6f0f\u6d1e\u6e90\u4e8elibLAS\u4e2d\u7684spatialreference.cpp\u4e2d\u7684liblas::SpatialReference::GetGTIF()\u5b58\u5728\u975e\u6cd5\u5730\u5740\u8bbf\u95ee\u3002\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u5bfc\u81f4\u62d2\u7edd\u670d\u52a1\u3002",
  "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://github.com/libLAS/libLAS",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2019-40945",
  "openTime": "2019-11-15",
  "products": {
    "product": "libLAS libLAS 1.8.1"
  },
  "referenceLink": "https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2018-20539",
  "serverity": "\u4e2d",
  "submitTime": "2018-12-28",
  "title": "libLAS\u5206\u6bb5\u9519\u8bef\u6f0f\u6d1e"
}

CVE-2018-20539 (GCVE-0-2018-20539)

Vulnerability from cvelistv5 – Published: 2018-12-28 03:00 – Updated: 2024-08-05 12:05

Summary

There is a Segmentation fault triggered by illegal address access at liblas::SpatialReference::GetGTIF() (spatialreference.cpp) in libLAS 1.8.1 that will cause a denial of service.

Severity

No CVSS data available.

CWE

Assigner

mitre mitre root

References

3 references

URL	Tags
https://bugzilla.redhat.com/show_bug.cgi?id=1652609	x_refsource_MISC
https://lists.fedoraproject.org/archives/list/pac…	vendor-advisoryx_refsource_FEDORA
https://lists.fedoraproject.org/archives/list/pac…	vendor-advisoryx_refsource_FEDORA

Date Public

2018-12-27 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.