Vulnerability-Lookup

CNVD-2018-02333

Vulnerability from cnvd - Published: 2018-01-30

Title

OpenCV 'cv::PxMDecoder::readData'函数缓冲区溢出漏洞

Description

OpenCV是一个开源的、跨平台的、轻量级的计算机视觉库。 OpenCV 3.3.1版本中的grfmt_pxm.cpp文件的'cv::PxMDecoder::readData'函数存在缓冲区溢出漏洞，该漏洞源于程序使用了不正确的大小值。攻击者可利用该漏洞造成拒绝服务（崩溃）。

Severity

中

Patch Name

OpenCV 'cv::PxMDecoder::readData'函数缓冲区溢出漏洞的补丁

Patch Description

OpenCV是一个开源的、跨平台的、轻量级的计算机视觉库。 OpenCV 3.3.1版本中的grfmt_pxm.cpp文件的'cv::PxMDecoder::readData'函数存在缓冲区溢出漏洞，该漏洞源于程序使用了不正确的大小值。攻击者可利用该漏洞造成拒绝服务（崩溃）。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/opencv/opencv/pull/10369/commits/7bbe1a53cfc097b82b1589f7915a2120de39274c

Reference

https://github.com/opencv/opencv/issues/10351

Impacted products

Name
OpenCV OpenCV 3.3.1

Show details on source website

JSON

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    "cve": {
      "cveNumber": "CVE-2017-17760"
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  "discovererName": "unknwon",
  "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/opencv/opencv/pull/10369/commits/7bbe1a53cfc097b82b1589f7915a2120de39274c",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2018-02333",
  "openTime": "2018-01-30",
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  "products": {
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  },
  "referenceLink": "https://github.com/opencv/opencv/issues/10351",
  "serverity": "\u4e2d",
  "submitTime": "2018-01-02",
  "title": "OpenCV \u0027cv::PxMDecoder::readData\u0027\u51fd\u6570\u7f13\u51b2\u533a\u6ea2\u51fa\u6f0f\u6d1e"
}

CVE-2017-17760 (GCVE-0-2017-17760)

Vulnerability from cvelistv5 – Published: 2017-12-29 18:00 – Updated: 2024-08-05 20:59

Summary

OpenCV 3.3.1 has a Buffer Overflow in the cv::PxMDecoder::readData function in grfmt_pxm.cpp, because an incorrect size value is used.

Severity

No CVSS data available.

CWE

Assigner

mitre mitre root

References

6 references

URL	Tags
https://lists.debian.org/debian-lts-announce/2018…	mailing-listx_refsource_MLIST
https://lists.debian.org/debian-lts-announce/2018…	mailing-listx_refsource_MLIST
https://github.com/opencv/opencv/issues/10351	x_refsource_MISC
https://github.com/opencv/opencv/pull/10369/commi…	x_refsource_MISC
http://www.securityfocus.com/bid/102974	vdb-entryx_refsource_BID
https://lists.debian.org/debian-lts-announce/2021…	mailing-listx_refsource_MLIST

Date Public

2017-12-29 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.