Vulnerability-Lookup

CNVD-2018-14356

Vulnerability from cnvd - Published: 2018-08-01

Title

libbpg libavcodec缓冲区溢出漏洞

Description

libbpg是一种新型的图片格式库。libavcodec是其中的一个通用编码/解码库。 libbpg 0.9.8版本和其他产品中的libavcodec的hevc_filter.c文件的‘restore_tqb_pixels’函数存在缓冲区溢出漏洞。远程攻击者可利用该漏洞执行代码。

Severity

高

Formal description

目前厂商暂未发布修复措施解决此安全问题，建议使用此软件的用户随时关注厂商主页或参考网址以获取解决办法： https://bellard.org/bpg/

Reference

http://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2018-12447

Impacted products

Name
Libbpg Libbpg 0.9.8

Show details on source website

JSON

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{
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    "cve": {
      "cveNumber": "CVE-2018-12447",
      "cveUrl": "http://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2018-12447"
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  "description": "libbpg\u662f\u4e00\u79cd\u65b0\u578b\u7684\u56fe\u7247\u683c\u5f0f\u5e93\u3002libavcodec\u662f\u5176\u4e2d\u7684\u4e00\u4e2a\u901a\u7528\u7f16\u7801/\u89e3\u7801\u5e93\u3002\r\n\r\nlibbpg 0.9.8\u7248\u672c\u548c\u5176\u4ed6\u4ea7\u54c1\u4e2d\u7684libavcodec\u7684hevc_filter.c\u6587\u4ef6\u7684\u2018restore_tqb_pixels\u2019\u51fd\u6570\u5b58\u5728\u7f13\u51b2\u533a\u6ea2\u51fa\u6f0f\u6d1e\u3002\u8fdc\u7a0b\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u6267\u884c\u4ee3\u7801\u3002",
  "discovererName": "Unknow",
  "formalWay": "\u76ee\u524d\u5382\u5546\u6682\u672a\u53d1\u5e03\u4fee\u590d\u63aa\u65bd\u89e3\u51b3\u6b64\u5b89\u5168\u95ee\u9898\uff0c\u5efa\u8bae\u4f7f\u7528\u6b64\u8f6f\u4ef6\u7684\u7528\u6237\u968f\u65f6\u5173\u6ce8\u5382\u5546\u4e3b\u9875\u6216\u53c2\u8003\u7f51\u5740\u4ee5\u83b7\u53d6\u89e3\u51b3\u529e\u6cd5\uff1a\r\nhttps://bellard.org/bpg/",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2018-14356",
  "openTime": "2018-08-01",
  "products": {
    "product": "Libbpg Libbpg 0.9.8"
  },
  "referenceLink": "http://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2018-12447",
  "serverity": "\u9ad8",
  "submitTime": "2018-06-20",
  "title": "libbpg libavcodec\u7f13\u51b2\u533a\u6ea2\u51fa\u6f0f\u6d1e"
}

CVE-2018-12447 (GCVE-0-2018-12447)

Vulnerability from cvelistv5 – Published: 2018-06-15 13:00 – Updated: 2024-08-05 08:38

Summary

The restore_tqb_pixels function in hevc_filter.c in libavcodec, as used in libbpg 0.9.8 and other products, has an integer overflow that leads to a heap-based buffer overflow and remote code execution.

Severity

No CVSS data available.

CWE

Assigner

mitre mitre root

References

2 references

URL	Tags
https://drive.google.com/open?id=1J3hTt8XHz7u7QDS…	x_refsource_MISC
https://github.com/ebel34/bpg-web-encoder/issues/2	x_refsource_MISC

Date Public

2018-06-15 00:00

Show details on NVD website

JSON

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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.