Vulnerability-Lookup

CNVD-2019-31366

Vulnerability from cnvd - Published: 2019-09-15

Title

OpenCV空指针解引用漏洞

Description

OpenCV是一个跨平台的计算机视觉库。 OpenCV 4.1.1之前版本中的modules/core/src/persistence.cpp中的cv::XMLParser::parse函数存在空指针解引用漏洞。攻击者可利用该漏洞导致拒绝服务。

Severity

中

Patch Name

OpenCV空指针解引用漏洞的补丁

Patch Description

OpenCV是一个跨平台的计算机视觉库。 OpenCV 4.1.1之前版本中的modules/core/src/persistence.cpp中的cv::XMLParser::parse函数存在空指针解引用漏洞。攻击者可利用该漏洞导致拒绝服务。目前，供应商发布了安全公告及相关补丁信息，修复了此漏洞。

Formal description

厂商已发布了漏洞修复程序，请及时关注更新： https://github.com/opencv/opencv/pull/15145

Reference

https://nvd.nist.gov/vuln/detail/CVE-2019-14493

Impacted products

Name
OpenCV OpenCV <4.1.1

Show details on source website

JSON

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    "cve": {
      "cveNumber": "CVE-2019-14493",
      "cveUrl": "https://nvd.nist.gov/vuln/detail/CVE-2019-14493"
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  "discovererName": "unknwon",
  "formalWay": "\u5382\u5546\u5df2\u53d1\u5e03\u4e86\u6f0f\u6d1e\u4fee\u590d\u7a0b\u5e8f\uff0c\u8bf7\u53ca\u65f6\u5173\u6ce8\u66f4\u65b0\uff1a\r\nhttps://github.com/opencv/opencv/pull/15145",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2019-31366",
  "openTime": "2019-09-15",
  "patchDescription": "OpenCV\u662f\u4e00\u4e2a\u8de8\u5e73\u53f0\u7684\u8ba1\u7b97\u673a\u89c6\u89c9\u5e93\u3002\r\n\r\nOpenCV 4.1.1\u4e4b\u524d\u7248\u672c\u4e2d\u7684modules/core/src/persistence.cpp\u4e2d\u7684cv::XMLParser::parse\u51fd\u6570\u5b58\u5728\u7a7a\u6307\u9488\u89e3\u5f15\u7528\u6f0f\u6d1e\u3002\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u5bfc\u81f4\u62d2\u7edd\u670d\u52a1\u3002\u76ee\u524d\uff0c\u4f9b\u5e94\u5546\u53d1\u5e03\u4e86\u5b89\u5168\u516c\u544a\u53ca\u76f8\u5173\u8865\u4e01\u4fe1\u606f\uff0c\u4fee\u590d\u4e86\u6b64\u6f0f\u6d1e\u3002",
  "patchName": "OpenCV\u7a7a\u6307\u9488\u89e3\u5f15\u7528\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": "OpenCV OpenCV \u003c4.1.1"
  },
  "referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2019-14493",
  "serverity": "\u4e2d",
  "submitTime": "2019-08-02",
  "title": "OpenCV\u7a7a\u6307\u9488\u89e3\u5f15\u7528\u6f0f\u6d1e"
}

CVE-2019-14493 (GCVE-0-2019-14493)

Vulnerability from cvelistv5 – Published: 2019-08-01 16:05 – Updated: 2024-08-05 00:19

Summary

An issue was discovered in OpenCV before 4.1.1. There is a NULL pointer dereference in the function cv::XMLParser::parse at modules/core/src/persistence.cpp.

Severity

No CVSS data available.

CWE

Assigner

mitre mitre root

References

3 references

URL	Tags
https://github.com/opencv/opencv/compare/371bba8.…	x_refsource_MISC
https://github.com/opencv/opencv/issues/15127	x_refsource_MISC
https://lists.debian.org/debian-lts-announce/2021…	mailing-listx_refsource_MLIST

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.