Vulnerability-Lookup

CNVD-2018-09159

Vulnerability from cnvd - Published: 2018-05-09

Title

libgxps缓冲区溢出漏洞

Description

libgxps是一个基于GObject（一种基于C语言的框架）的用于处理XPS文档的库。 libgxps 0.3.0及之前版本中的gxps-fonts.c文件的‘ft_font_face_hash’函数存在堆缓冲区溢出漏洞。远程攻击者可借助特制的输入利用该漏洞造成拒绝服务。

Severity

中

Formal description

目前没有详细的解决方案提供： https://wiki.gnome.org/action/show/Projects/libgxps?action=show&redirect=libgxps

Reference

https://bugzilla.redhat.com/show_bug.cgi?id=1574844

Impacted products

Name
GNOME libgxps <=0.3.0

Show details on source website

JSON

To clipboard

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2018-10733"
    }
  },
  "description": "libgxps\u662f\u4e00\u4e2a\u57fa\u4e8eGObject\uff08\u4e00\u79cd\u57fa\u4e8eC\u8bed\u8a00\u7684\u6846\u67b6\uff09\u7684\u7528\u4e8e\u5904\u7406XPS\u6587\u6863\u7684\u5e93\u3002\r\n\r\nlibgxps 0.3.0\u53ca\u4e4b\u524d\u7248\u672c\u4e2d\u7684gxps-fonts.c\u6587\u4ef6\u7684\u2018ft_font_face_hash\u2019\u51fd\u6570\u5b58\u5728\u5806\u7f13\u51b2\u533a\u6ea2\u51fa\u6f0f\u6d1e\u3002\u8fdc\u7a0b\u653b\u51fb\u8005\u53ef\u501f\u52a9\u7279\u5236\u7684\u8f93\u5165\u5229\u7528\u8be5\u6f0f\u6d1e\u9020\u6210\u62d2\u7edd\u670d\u52a1\u3002",
  "discovererName": "chenyuan",
  "formalWay": "\u76ee\u524d\u6ca1\u6709\u8be6\u7ec6\u7684\u89e3\u51b3\u65b9\u6848\u63d0\u4f9b\uff1a\r\nhttps://wiki.gnome.org/action/show/Projects/libgxps?action=show\u0026redirect=libgxps",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2018-09159",
  "openTime": "2018-05-09",
  "products": {
    "product": "GNOME libgxps \u003c=0.3.0"
  },
  "referenceLink": "https://bugzilla.redhat.com/show_bug.cgi?id=1574844",
  "serverity": "\u4e2d",
  "submitTime": "2018-05-08",
  "title": "libgxps\u7f13\u51b2\u533a\u6ea2\u51fa\u6f0f\u6d1e"
}

CVE-2018-10733 (GCVE-0-2018-10733)

Vulnerability from cvelistv5 – Published: 2018-05-04 16:00 – Updated: 2024-08-05 07:46

Summary

There is a heap-based buffer over-read in the function ft_font_face_hash of gxps-fonts.c in libgxps through 0.3.0. A crafted input will lead to a remote denial of service attack.

Severity

No CVSS data available.

CWE

Assigner

mitre mitre root

References

5 references

URL	Tags
https://access.redhat.com/errata/RHSA-2018:3505	vendor-advisoryx_refsource_REDHAT
https://access.redhat.com/errata/RHSA-2018:3140	vendor-advisoryx_refsource_REDHAT
https://bugzilla.redhat.com/show_bug.cgi?id=1574844	x_refsource_MISC
http://lists.opensuse.org/opensuse-security-annou…	vendor-advisoryx_refsource_SUSE
https://access.redhat.com/errata/RHBA-2019:0327	vendor-advisoryx_refsource_REDHAT

Date Public

2018-05-04 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.