Vulnerability-Lookup

CNVD-2021-36214

Vulnerability from cnvd - Published: 2021-05-21

Title

Imagemagick Studio ImageMagick数字错误漏洞（CNVD-2021-36214）

Description

Imagemagick Studio ImageMagick是美国ImageMagick Studio（Imagemagick Studio）公司的一套开源的图像处理软件。该软件可读取、转换或写入多种格式的图片。 ImageMagick存在安全漏洞，攻击者可利用ImageMagick的多个漏洞。目前没有详细的漏洞细节提供。

Severity

高

Patch Name

Imagemagick Studio ImageMagick数字错误漏洞（CNVD-2021-36214）的补丁

Patch Description

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://bugzilla.redhat.com/show_bug.cgi?id=1946739

Reference

https://nvd.nist.gov/vuln/detail/CVE-2021-20311

Impacted products

Name
ImageMagick ImageMagick <7.0.11-0

Show details on source website

JSON

To clipboard

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  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2021-36214",
  "openTime": "2021-05-21",
  "patchDescription": "Imagemagick Studio ImageMagick\u662f\u7f8e\u56fdImageMagick Studio\uff08Imagemagick Studio\uff09\u516c\u53f8\u7684\u4e00\u5957\u5f00\u6e90\u7684\u56fe\u50cf\u5904\u7406\u8f6f\u4ef6\u3002\u8be5\u8f6f\u4ef6\u53ef\u8bfb\u53d6\u3001\u8f6c\u6362\u6216\u5199\u5165\u591a\u79cd\u683c\u5f0f\u7684\u56fe\u7247\u3002\r\n\r\nImageMagick\u5b58\u5728\u5b89\u5168\u6f0f\u6d1e\uff0c\u653b\u51fb\u8005\u53ef\u5229\u7528ImageMagick\u7684\u591a\u4e2a\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",
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  "products": {
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  "referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2021-20311",
  "serverity": "\u9ad8",
  "submitTime": "2021-04-22",
  "title": "Imagemagick Studio ImageMagick\u6570\u5b57\u9519\u8bef\u6f0f\u6d1e\uff08CNVD-2021-36214\uff09"
}

CVE-2021-20311 (GCVE-0-2021-20311)

Vulnerability from cvelistv5 – Published: 2021-05-11 22:30 – Updated: 2024-08-03 17:37

Summary

A flaw was found in ImageMagick in versions before 7.0.11, where a division by zero in sRGBTransformImage() in the MagickCore/colorspace.c may trigger undefined behavior via a crafted image file that is submitted by an attacker processed by an application using ImageMagick. The highest threat from this vulnerability is to system availability.

Severity

No CVSS data available.

CWE

CWE-369

Assigner

redhat redhat root

References

1 reference

URL	Tags
https://bugzilla.redhat.com/show_bug.cgi?id=1946739	x_refsource_MISC

Impacted products

1 product

Vendor	Product	Version
n/a	ImageMagick	Affected: ImageMagick 7.0.11

Show details on NVD website

JSON

To clipboard

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        }
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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.