Vulnerability-Lookup

CNVD-2020-65284

Vulnerability from cnvd - Published: 2020-11-17

Title

GoPro gpmf-parser越界写入漏洞

Description

GoPro gpmf-parser是用于GoPro相机中使用的GPMF格式遥测数据的解析器。 GoPro gpmf-parser 1.2.1中的GPMF_mp4reader.c中的OpenMP4Source存在越界写入漏洞。目前没有详细的漏洞细节提供。

Severity

中

Patch Name

GoPro gpmf-parser越界写入漏洞的补丁

Patch Description

GoPro gpmf-parser是用于GoPro相机中使用的GPMF格式遥测数据的解析器。 GoPro gpmf-parser 1.2.1中的GPMF_mp4reader.c中的OpenMP4Source存在越界写入漏洞。目前没有详细的漏洞细节提供。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

厂商已发布漏洞修复程序，请及时关注更新： https://github.com/gopro/gpmf-parser

Reference

https://nvd.nist.gov/vuln/detail/CVE-2018-18699

Impacted products

Name
GoPro gpmf-parser 1.2.1

Show details on source website

JSON

To clipboard

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  "cves": {
    "cve": {
      "cveNumber": "CVE-2018-18699"
    }
  },
  "description": "GoPro gpmf-parser\u662f\u7528\u4e8eGoPro\u76f8\u673a\u4e2d\u4f7f\u7528\u7684GPMF\u683c\u5f0f\u9065\u6d4b\u6570\u636e\u7684\u89e3\u6790\u5668\u3002\n\nGoPro gpmf-parser 1.2.1\u4e2d\u7684GPMF_mp4reader.c\u4e2d\u7684OpenMP4Source\u5b58\u5728\u8d8a\u754c\u5199\u5165\u6f0f\u6d1e\u3002\u76ee\u524d\u6ca1\u6709\u8be6\u7ec6\u7684\u6f0f\u6d1e\u7ec6\u8282\u63d0\u4f9b\u3002",
  "formalWay": "\u5382\u5546\u5df2\u53d1\u5e03\u6f0f\u6d1e\u4fee\u590d\u7a0b\u5e8f\uff0c\u8bf7\u53ca\u65f6\u5173\u6ce8\u66f4\u65b0\uff1a\r\nhttps://github.com/gopro/gpmf-parser",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2020-65284",
  "openTime": "2020-11-17",
  "patchDescription": "GoPro gpmf-parser\u662f\u7528\u4e8eGoPro\u76f8\u673a\u4e2d\u4f7f\u7528\u7684GPMF\u683c\u5f0f\u9065\u6d4b\u6570\u636e\u7684\u89e3\u6790\u5668\u3002\r\n\r\nGoPro gpmf-parser 1.2.1\u4e2d\u7684GPMF_mp4reader.c\u4e2d\u7684OpenMP4Source\u5b58\u5728\u8d8a\u754c\u5199\u5165\u6f0f\u6d1e\u3002\u76ee\u524d\u6ca1\u6709\u8be6\u7ec6\u7684\u6f0f\u6d1e\u7ec6\u8282\u63d0\u4f9b\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": "GoPro gpmf-parser\u8d8a\u754c\u5199\u5165\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": "GoPro gpmf-parser 1.2.1"
  },
  "referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2018-18699",
  "serverity": "\u4e2d",
  "submitTime": "2018-11-02",
  "title": "GoPro gpmf-parser\u8d8a\u754c\u5199\u5165\u6f0f\u6d1e"
}

CVE-2018-18699 (GCVE-0-2018-18699)

Vulnerability from cvelistv5 – Published: 2018-10-27 16:00 – Updated: 2024-09-17 01:50

Summary

An issue was discovered in GoPro gpmf-parser 1.2.1. There is an out-of-bounds write in OpenMP4Source in GPMF_mp4reader.c.

Severity

No CVSS data available.

CWE

Assigner

mitre mitre root

References

1 reference

URL	Tags
https://github.com/gopro/gpmf-parser/issues/43	x_refsource_MISC

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.