Vulnerability-Lookup

CNVD-2017-30076

Vulnerability from cnvd - Published: 2017-10-15

Title

OpenExif拒绝服务漏洞

Description

OpenExif是一个面向对象的库，用于访问Exif格式的JPEG图像文件。 OpenExif中的ExifImageFileRead.cpp中的ExifImageFile::readDQT存在拒绝服务漏洞，远程攻击者可通过特制JPEG文件导致拒绝服务（栈缓冲区过读和应用程序崩溃）。

Severity

中

Patch Name

OpenExif拒绝服务漏洞的补丁

Patch Description

OpenExif是一个面向对象的库，用于访问Exif格式的JPEG图像文件。 OpenExif中的ExifImageFileRead.cpp中的ExifImageFile::readDQT存在拒绝服务漏洞，远程攻击者可通过特制JPEG文件导致拒绝服务（栈缓冲区过读和应用程序崩溃）。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

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

Reference

http://seclists.org/fulldisclosure/2017/Sep/34

Impacted products

Name
OpenExif OpenExif 2.1.4

Show details on source website

JSON

To clipboard

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2017-14931"
    }
  },
  "description": "OpenExif\u662f\u4e00\u4e2a\u9762\u5411\u5bf9\u8c61\u7684\u5e93\uff0c\u7528\u4e8e\u8bbf\u95eeExif\u683c\u5f0f\u7684JPEG\u56fe\u50cf\u6587\u4ef6\u3002\r\n\r\nOpenExif\u4e2d\u7684ExifImageFileRead.cpp\u4e2d\u7684ExifImageFile::readDQT\u5b58\u5728\u62d2\u7edd\u670d\u52a1\u6f0f\u6d1e\uff0c\u8fdc\u7a0b\u653b\u51fb\u8005\u53ef\u901a\u8fc7\u7279\u5236JPEG\u6587\u4ef6\u5bfc\u81f4\u62d2\u7edd\u670d\u52a1\uff08\u6808\u7f13\u51b2\u533a\u8fc7\u8bfb\u548c\u5e94\u7528\u7a0b\u5e8f\u5d29\u6e83\uff09\u3002",
  "discovererName": "unknown",
  "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/skysider/openexif_vulnerabilities",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2017-30076",
  "openTime": "2017-10-15",
  "patchDescription": "OpenExif\u662f\u4e00\u4e2a\u9762\u5411\u5bf9\u8c61\u7684\u5e93\uff0c\u7528\u4e8e\u8bbf\u95eeExif\u683c\u5f0f\u7684JPEG\u56fe\u50cf\u6587\u4ef6\u3002\r\n\r\nOpenExif\u4e2d\u7684ExifImageFileRead.cpp\u4e2d\u7684ExifImageFile::readDQT\u5b58\u5728\u62d2\u7edd\u670d\u52a1\u6f0f\u6d1e\uff0c\u8fdc\u7a0b\u653b\u51fb\u8005\u53ef\u901a\u8fc7\u7279\u5236JPEG\u6587\u4ef6\u5bfc\u81f4\u62d2\u7edd\u670d\u52a1\uff08\u6808\u7f13\u51b2\u533a\u8fc7\u8bfb\u548c\u5e94\u7528\u7a0b\u5e8f\u5d29\u6e83\uff09\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": "OpenExif\u62d2\u7edd\u670d\u52a1\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": "OpenExif OpenExif 2.1.4"
  },
  "referenceLink": "http://seclists.org/fulldisclosure/2017/Sep/34",
  "serverity": "\u4e2d",
  "submitTime": "2017-09-30",
  "title": "OpenExif\u62d2\u7edd\u670d\u52a1\u6f0f\u6d1e"
}

CVE-2017-14931 (GCVE-0-2017-14931)

Vulnerability from cvelistv5 – Published: 2017-09-29 08:00 – Updated: 2024-08-05 19:42

Summary

ExifImageFile::readDQT in ExifImageFileRead.cpp in OpenExif 2.1.4 allows remote attackers to cause a denial of service (stack-based buffer over-read and application crash) via a crafted JPEG file.

Severity

No CVSS data available.

CWE

Assigner

mitre mitre root

References

2 references

URL	Tags
https://github.com/skysider/openexif_vulnerabilities	x_refsource_MISC
http://seclists.org/fulldisclosure/2017/Sep/34	x_refsource_MISC

Date Public

2017-09-29 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.