Vulnerability-Lookup

CNVD-2018-00100

Vulnerability from cnvd - Published: 2018-01-03

Title

ImageMagick内存泄露漏洞（CNVD-2018-00100）

Description

ImageMagick是一个用来创建、编辑、合成图片的软件，可以读取、转换、写入多种格式的图片。 ImageMagick 7.0.7-12 Q16版本中的magick/cache.c的GetImagePixelCache函数存在内存泄露漏洞。攻击者可通过特制MNG图像文件利用该漏洞导致拒绝服务。

Severity

中

Patch Name

ImageMagick内存泄露漏洞（CNVD-2018-00100）的补丁

Patch Description

ImageMagick是一个用来创建、编辑、合成图片的软件，可以读取、转换、写入多种格式的图片。 ImageMagick 7.0.7-12 Q16版本中的magick/cache.c的GetImagePixelCache函数存在内存泄露漏洞。攻击者可通过特制MNG图像文件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

目前厂商已发布升级补丁以修复漏洞，补丁获取链接： https://www.imagemagick.org/download/beta/

Reference

https://github.com/ImageMagick/ImageMagick/issues/903

Impacted products

Name
ImageMagick ImageMagick 7.0.7-12 Q16

Show details on source website

JSON

To clipboard

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    "cve": {
      "cveNumber": "CVE-2017-17887"
    }
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  "discovererName": "NSFocus Security Team \u003csecurity (at) nsfocus (dot) com\u003e",
  "formalWay": "\u76ee\u524d\u5382\u5546\u5df2\u53d1\u5e03\u5347\u7ea7\u8865\u4e01\u4ee5\u4fee\u590d\u6f0f\u6d1e\uff0c\u8865\u4e01\u83b7\u53d6\u94fe\u63a5\uff1a\r\nhttps://www.imagemagick.org/download/beta/",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2018-00100",
  "openTime": "2018-01-03",
  "patchDescription": "ImageMagick\u662f\u4e00\u4e2a\u7528\u6765\u521b\u5efa\u3001\u7f16\u8f91\u3001\u5408\u6210\u56fe\u7247\u7684\u8f6f\u4ef6\uff0c\u53ef\u4ee5\u8bfb\u53d6\u3001\u8f6c\u6362\u3001\u5199\u5165\u591a\u79cd\u683c\u5f0f\u7684\u56fe\u7247\u3002\r\n\r\nImageMagick 7.0.7-12 Q16\u7248\u672c\u4e2d\u7684magick/cache.c\u7684GetImagePixelCache\u51fd\u6570\u5b58\u5728\u5185\u5b58\u6cc4\u9732\u6f0f\u6d1e\u3002\u653b\u51fb\u8005\u53ef\u901a\u8fc7\u7279\u5236MNG\u56fe\u50cf\u6587\u4ef6\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": "ImageMagick\u5185\u5b58\u6cc4\u9732\u6f0f\u6d1e\uff08CNVD-2018-00100\uff09\u7684\u8865\u4e01",
  "products": {
    "product": "ImageMagick ImageMagick 7.0.7-12 Q16"
  },
  "referenceLink": "https://github.com/ImageMagick/ImageMagick/issues/903",
  "serverity": "\u4e2d",
  "submitTime": "2017-12-25",
  "title": "ImageMagick\u5185\u5b58\u6cc4\u9732\u6f0f\u6d1e\uff08CNVD-2018-00100\uff09"
}

CVE-2017-17887 (GCVE-0-2017-17887)

Vulnerability from cvelistv5 – Published: 2017-12-24 04:00 – Updated: 2024-08-05 21:06

Summary

In ImageMagick 7.0.7-16 Q16, a memory leak vulnerability was found in the function GetImagePixelCache in magick/cache.c, which allows attackers to cause a denial of service via a crafted MNG image file that is processed by ReadOneMNGImage.

Severity

No CVSS data available.

CWE

Assigner

mitre mitre root

References

2 references

URL	Tags
https://github.com/ImageMagick/ImageMagick/issues/903	x_refsource_CONFIRM
https://usn.ubuntu.com/3681-1/	vendor-advisoryx_refsource_UBUNTU

Date Public

2017-12-23 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.