Vulnerability-Lookup

CNVD-2017-34691

Vulnerability from cnvd - Published: 2017-11-21

Title

Xiph.Org Libvorbis拒绝服务漏洞

Description

Xiph.Org libvorbis是一个开源的音频音乐编码解码函数库。 Xiph.Org libvorbis 1.3.5版本中的psy.c文件的‘bark_noise_hybridmp’函数存在安全漏洞。远程攻击者可借助特制的mp4文件利用该漏洞造成拒绝服务（越边界访问和应用程序崩溃）。

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://xiph.org/vorbis/doc/libvorbis/index.html

Reference

http://www.securityfocus.com/bid/101045

Impacted products

Name
Xiph.Org libvorbis 1.3.5

Show details on source website

JSON

To clipboard

{
  "bids": {
    "bid": {
      "bidNumber": "101045"
    }
  },
  "cves": {
    "cve": {
      "cveNumber": "CVE-2017-14160"
    }
  },
  "description": "Xiph.Org libvorbis\u662f\u4e00\u4e2a\u5f00\u6e90\u7684\u97f3\u9891\u97f3\u4e50\u7f16\u7801\u89e3\u7801\u51fd\u6570\u5e93\u3002\r\n\r\nXiph.Org libvorbis 1.3.5\u7248\u672c\u4e2d\u7684psy.c\u6587\u4ef6\u7684\u2018bark_noise_hybridmp\u2019\u51fd\u6570\u5b58\u5728\u5b89\u5168\u6f0f\u6d1e\u3002\u8fdc\u7a0b\u653b\u51fb\u8005\u53ef\u501f\u52a9\u7279\u5236\u7684mp4\u6587\u4ef6\u5229\u7528\u8be5\u6f0f\u6d1e\u9020\u6210\u62d2\u7edd\u670d\u52a1\uff08\u8d8a\u8fb9\u754c\u8bbf\u95ee\u548c\u5e94\u7528\u7a0b\u5e8f\u5d29\u6e83\uff09\u3002",
  "discovererName": "Qihoo 360 GearTeam.",
  "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://xiph.org/vorbis/doc/libvorbis/index.html",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2017-34691",
  "openTime": "2017-11-21",
  "products": {
    "product": "Xiph.Org libvorbis 1.3.5"
  },
  "referenceLink": "http://www.securityfocus.com/bid/101045",
  "serverity": "\u4e2d",
  "submitTime": "2017-09-29",
  "title": "Xiph.Org Libvorbis\u62d2\u7edd\u670d\u52a1\u6f0f\u6d1e"
}

CVE-2017-14160 (GCVE-0-2017-14160)

Vulnerability from cvelistv5 – Published: 2017-09-21 14:00 – Updated: 2024-08-05 19:20

Summary

The bark_noise_hybridmp function in psy.c in Xiph.Org libvorbis 1.3.5 allows remote attackers to cause a denial of service (out-of-bounds access and application crash) or possibly have unspecified other impact via a crafted mp4 file.

Severity

No CVSS data available.

CWE

Assigner

mitre mitre root

References

5 references

URL	Tags
http://www.securityfocus.com/bid/101045	vdb-entryx_refsource_BID
http://openwall.com/lists/oss-security/2017/09/21/2	x_refsource_MISC
https://lists.debian.org/debian-lts-announce/2019…	mailing-listx_refsource_MLIST
https://security.gentoo.org/glsa/202003-36	vendor-advisoryx_refsource_GENTOO
https://lists.debian.org/debian-lts-announce/2021…	mailing-listx_refsource_MLIST

Date Public

2017-09-21 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.
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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.