GCVE Workshop - 22 September 2026 (14:00-18:00), Luxembourg Before The Vulnopticon Conference - Registration

CNVD-2024-31519

Vulnerability from cnvd - Published: 2024-07-11
VLAI
Title
FFmpeg越界读取漏洞(CNVD-2024-31519)
Description
FFmpeg是FFmpeg团队的一套可录制、转换以及流化音视频的完整解决方案。 Ffmpeg存在越界读取漏洞,该漏洞源于read_vlc_prefix() 函数中的dist alphabet_size变量存在越界读取。攻击者可利用该漏洞读取越界内容。
Severity
Patch Name
FFmpeg越界读取漏洞(CNVD-2024-31519)的补丁
Patch Description
FFmpeg是FFmpeg团队的一套可录制、转换以及流化音视频的完整解决方案。 Ffmpeg存在越界读取漏洞,该漏洞源于read_vlc_prefix() 函数中的dist alphabet_size变量存在越界读取。攻击者可利用该漏洞读取越界内容。目前,供应商发布了安全公告及相关补丁信息,修复了此漏洞。
Formal description

厂商已发布了漏洞修复程序,请及时关注更新: https://github.com/FFmpeg/FFmpeg/commit/bf814387f42e9b0dea9d75c03db4723c88e7d962

Reference
https://nvd.nist.gov/vuln/detail/CVE-2023-46407
Impacted products
Name
FFmpeg Ffmpeg <6.1
Show details on source website

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2023-46407",
      "cveUrl": "https://nvd.nist.gov/vuln/detail/CVE-2023-46407"
    }
  },
  "description": "FFmpeg\u662fFFmpeg\u56e2\u961f\u7684\u4e00\u5957\u53ef\u5f55\u5236\u3001\u8f6c\u6362\u4ee5\u53ca\u6d41\u5316\u97f3\u89c6\u9891\u7684\u5b8c\u6574\u89e3\u51b3\u65b9\u6848\u3002\n\nFfmpeg\u5b58\u5728\u8d8a\u754c\u8bfb\u53d6\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8eread_vlc_prefix() \u51fd\u6570\u4e2d\u7684dist alphabet_size\u53d8\u91cf\u5b58\u5728\u8d8a\u754c\u8bfb\u53d6\u3002\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u8bfb\u53d6\u8d8a\u754c\u5185\u5bb9\u3002",
  "formalWay": "\u5382\u5546\u5df2\u53d1\u5e03\u4e86\u6f0f\u6d1e\u4fee\u590d\u7a0b\u5e8f\uff0c\u8bf7\u53ca\u65f6\u5173\u6ce8\u66f4\u65b0\uff1a\r\nhttps://github.com/FFmpeg/FFmpeg/commit/bf814387f42e9b0dea9d75c03db4723c88e7d962",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2024-31519",
  "openTime": "2024-07-11",
  "patchDescription": "FFmpeg\u662fFFmpeg\u56e2\u961f\u7684\u4e00\u5957\u53ef\u5f55\u5236\u3001\u8f6c\u6362\u4ee5\u53ca\u6d41\u5316\u97f3\u89c6\u9891\u7684\u5b8c\u6574\u89e3\u51b3\u65b9\u6848\u3002\r\n\r\nFfmpeg\u5b58\u5728\u8d8a\u754c\u8bfb\u53d6\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8eread_vlc_prefix() \u51fd\u6570\u4e2d\u7684dist alphabet_size\u53d8\u91cf\u5b58\u5728\u8d8a\u754c\u8bfb\u53d6\u3002\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u8bfb\u53d6\u8d8a\u754c\u5185\u5bb9\u3002\u76ee\u524d\uff0c\u4f9b\u5e94\u5546\u53d1\u5e03\u4e86\u5b89\u5168\u516c\u544a\u53ca\u76f8\u5173\u8865\u4e01\u4fe1\u606f\uff0c\u4fee\u590d\u4e86\u6b64\u6f0f\u6d1e\u3002",
  "patchName": "FFmpeg\u8d8a\u754c\u8bfb\u53d6\u6f0f\u6d1e\uff08CNVD-2024-31519\uff09\u7684\u8865\u4e01",
  "products": {
    "product": "FFmpeg Ffmpeg \u003c6.1"
  },
  "referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2023-46407",
  "serverity": "\u4e2d",
  "submitTime": "2023-10-31",
  "title": "FFmpeg\u8d8a\u754c\u8bfb\u53d6\u6f0f\u6d1e\uff08CNVD-2024-31519\uff09"
}



Log in or create an account to share your comment.




Tags
Taxonomy of the tags.


Loading…

Loading…

Loading…

Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.

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.

Loading…

Detection rules are retrieved from Rulezet.

Loading…

Loading…

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.


Loading…