Vulnerability-Lookup

CNVD-2019-35776

Vulnerability from cnvd - Published: 2019-10-17

Title

Libav缓冲区溢出漏洞（CNVD-2019-35776）

Description

Libav是Libav团队的一套跨平台的可对音频和视频进行录制、转换的解决方案，它包含了一个libavcodec编码器。 Libav 12.3版本中的subtitle解码器存在缓冲区溢出漏洞，攻击者可利用该漏洞导致缓冲区溢出或堆溢出等。

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://libav.org

Reference

https://lgtm.com/security/,https://lgtm.com/projects/g/libav/libav/snapshot/f5f553ca3bdca0c97dd08bbf002f0d8cb193788b/files/libavcodec/srtdec.c?sort=name&dir=ASC&mode=heatmap#xeec693aa6d85853b:1 https://github.com/libav/libav/commits/master/libavcodec/srtdec.c https://github.com/libav/libav/blob/df744e3cf66548c9167ea857104a29d2ea92819e/libavcodec/srtdec.c#L113 https://nvd.nist.gov/vuln/detail/CVE-2019-9719

Impacted products

Name
Libav Libav 12.3

Show details on source website

JSON

To clipboard

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2019-9719"
    }
  },
  "description": "Libav\u662fLibav\u56e2\u961f\u7684\u4e00\u5957\u8de8\u5e73\u53f0\u7684\u53ef\u5bf9\u97f3\u9891\u548c\u89c6\u9891\u8fdb\u884c\u5f55\u5236\u3001\u8f6c\u6362\u7684\u89e3\u51b3\u65b9\u6848\uff0c\u5b83\u5305\u542b\u4e86\u4e00\u4e2alibavcodec\u7f16\u7801\u5668\u3002\n\nLibav 12.3\u7248\u672c\u4e2d\u7684subtitle\u89e3\u7801\u5668\u5b58\u5728\u7f13\u51b2\u533a\u6ea2\u51fa\u6f0f\u6d1e\uff0c\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u5bfc\u81f4\u7f13\u51b2\u533a\u6ea2\u51fa\u6216\u5806\u6ea2\u51fa\u7b49\u3002",
  "discovererName": "unknown",
  "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://libav.org",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2019-35776",
  "openTime": "2019-10-17",
  "products": {
    "product": "Libav Libav 12.3"
  },
  "referenceLink": "https://lgtm.com/security/,https://lgtm.com/projects/g/libav/libav/snapshot/f5f553ca3bdca0c97dd08bbf002f0d8cb193788b/files/libavcodec/srtdec.c?sort=name\u0026dir=ASC\u0026mode=heatmap#xeec693aa6d85853b:1\r\nhttps://github.com/libav/libav/commits/master/libavcodec/srtdec.c\r\nhttps://github.com/libav/libav/blob/df744e3cf66548c9167ea857104a29d2ea92819e/libavcodec/srtdec.c#L113\r\nhttps://nvd.nist.gov/vuln/detail/CVE-2019-9719",
  "serverity": "\u4e2d",
  "submitTime": "2019-09-19",
  "title": "Libav\u7f13\u51b2\u533a\u6ea2\u51fa\u6f0f\u6d1e\uff08CNVD-2019-35776\uff09"
}

CVE-2019-9719 (GCVE-0-2019-9719)

Vulnerability from cvelistv5 – Published: 2019-09-19 20:32 – Updated: 2024-08-04 22:01 Disputed

Summary

A stack-based buffer overflow in the subtitle decoder in Libav 12.3 allows attackers to corrupt the stack via a crafted video file in Matroska format, because srt_to_ass in libavcodec/srtdec.c misuses snprintf. NOTE: Third parties dispute that this is a vulnerability because “no evidence of a vulnerability is provided” and only “a generic warning from a static code analysis” is provided

Severity

No CVSS data available.

CWE

Assigner

mitre mitre root

References

4 references

URL	Tags
https://github.com/libav/libav/blob/df744e3cf6654…	x_refsource_MISC
https://github.com/libav/libav/commits/master/lib…	x_refsource_MISC
https://lgtm.com/security/	x_refsource_MISC
https://lgtm.com/projects/g/libav/libav/snapshot/…	x_refsource_MISC

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.