Vulnerability-Lookup

CNVD-2017-06136

Vulnerability from cnvd - Published: 2017-05-09

Title

Artifex jbig2dec 'jbig2_image_compose'函数整数溢出漏洞

Description

Artifex jbig2dec是一个用于Ghostscript和MuPDF中解码PDF文件中的JBIG2流的实现。 Artifex jbig2dec 0.13版本中的jbig2_image.c文件的'jbig2_image_compose'函数存在整数溢出漏洞。攻击者可借助特制的.jb2文件利用该漏洞造成拒绝服务（越边界读取和写入），或泄露进程内存中的敏感信息。

Severity

中

Formal description

厂商尚未提供漏洞修复方案，请关注厂商主页更新： https://artifex.com/

Reference

https://bugs.ghostscript.com/show_bug.cgi?id=697683

Impacted products

Name
Artifex Software jbig2dec 0.13

Show details on source website

JSON

To clipboard

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    "cve": {
      "cveNumber": "CVE-2017-7976"
    }
  },
  "description": "Artifex jbig2dec\u662f\u4e00\u4e2a\u7528\u4e8eGhostscript\u548cMuPDF\u4e2d\u89e3\u7801PDF\u6587\u4ef6\u4e2d\u7684JBIG2\u6d41\u7684\u5b9e\u73b0\u3002\r\n\r\nArtifex jbig2dec 0.13\u7248\u672c\u4e2d\u7684jbig2_image.c\u6587\u4ef6\u7684\u0027jbig2_image_compose\u0027\u51fd\u6570\u5b58\u5728\u6574\u6570\u6ea2\u51fa\u6f0f\u6d1e\u3002\u653b\u51fb\u8005\u53ef\u501f\u52a9\u7279\u5236\u7684.jb2\u6587\u4ef6\u5229\u7528\u8be5\u6f0f\u6d1e\u9020\u6210\u62d2\u7edd\u670d\u52a1\uff08\u8d8a\u8fb9\u754c\u8bfb\u53d6\u548c\u5199\u5165\uff09\uff0c\u6216\u6cc4\u9732\u8fdb\u7a0b\u5185\u5b58\u4e2d\u7684\u654f\u611f\u4fe1\u606f\u3002",
  "discovererName": "jbig2dec",
  "formalWay": "\u5382\u5546\u5c1a\u672a\u63d0\u4f9b\u6f0f\u6d1e\u4fee\u590d\u65b9\u6848\uff0c\u8bf7\u5173\u6ce8\u5382\u5546\u4e3b\u9875\u66f4\u65b0\uff1a\r\nhttps://artifex.com/",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2017-06136",
  "openTime": "2017-05-09",
  "products": {
    "product": "Artifex Software  jbig2dec 0.13"
  },
  "referenceLink": "https://bugs.ghostscript.com/show_bug.cgi?id=697683",
  "serverity": "\u4e2d",
  "submitTime": "2017-04-21",
  "title": "Artifex jbig2dec \u0027jbig2_image_compose\u0027\u51fd\u6570\u6574\u6570\u6ea2\u51fa\u6f0f\u6d1e"
}

CVE-2017-7976 (GCVE-0-2017-7976)

Vulnerability from cvelistv5 – Published: 2017-04-19 17:00 – Updated: 2024-08-05 16:19

Summary

Artifex jbig2dec 0.13 allows out-of-bounds writes and reads because of an integer overflow in the jbig2_image_compose function in jbig2_image.c during operations on a crafted .jb2 file, leading to a denial of service (application crash) or disclosure of sensitive information from process memory.

Severity

No CVSS data available.

CWE

Assigner

mitre mitre root

References

3 references

URL	Tags
https://bugs.ghostscript.com/show_bug.cgi?id=697683	x_refsource_MISC
http://www.debian.org/security/2017/dsa-3855	vendor-advisoryx_refsource_DEBIAN
https://security.gentoo.org/glsa/201708-10	vendor-advisoryx_refsource_GENTOO

Date Public

2017-04-19 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.