Vulnerability-Lookup

CNVD-2017-05089

Vulnerability from cnvd - Published: 2017-04-22

Title

FFmpeg 'decode_zbuf'函数栈缓冲区溢出漏洞

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。 FFmpe中的libavcodec/pngdec.c文件的'decode_zbuf'函数存在栈缓冲区溢出漏洞。攻击者可利用该漏洞造成拒绝服务（越边界写入）。

Severity

高

Patch Name

FFmpeg 'decode_zbuf'函数栈缓冲区溢出漏洞的补丁

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。 FFmpe中的libavcodec/pngdec.c文件的'decode_zbuf'函数存在栈缓冲区溢出漏洞。攻击者可利用该漏洞造成拒绝服务（越边界写入）。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

目前厂商已经发布了升级补丁以修复此安全问题，补丁获取链接： https://github.com/FFmpeg/FFmpeg/commit/e371f031b942d73e02c090170975561fabd5c264

Reference

https://bugs.chromium.org/p/oss-fuzz/issues/detail?id=444 https://nvd.nist.gov/vuln/detail/CVE-2017-7866

Impacted products

Name
FFmpeg Ffmpeg <=2.8.9

Show details on source website

JSON

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{
  "bids": {
    "bid": {
      "bidNumber": "97664"
    }
  },
  "cves": {
    "cve": {
      "cveNumber": "CVE-2017-7866",
      "cveUrl": "http://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2017-7866"
    }
  },
  "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\r\n\r\nFFmpe\u4e2d\u7684libavcodec/pngdec.c\u6587\u4ef6\u7684\u0027decode_zbuf\u0027\u51fd\u6570\u5b58\u5728\u6808\u7f13\u51b2\u533a\u6ea2\u51fa\u6f0f\u6d1e\u3002\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u9020\u6210\u62d2\u7edd\u670d\u52a1\uff08\u8d8a\u8fb9\u754c\u5199\u5165\uff09\u3002",
  "discovererName": "Unknown",
  "formalWay": "\u76ee\u524d\u5382\u5546\u5df2\u7ecf\u53d1\u5e03\u4e86\u5347\u7ea7\u8865\u4e01\u4ee5\u4fee\u590d\u6b64\u5b89\u5168\u95ee\u9898\uff0c\u8865\u4e01\u83b7\u53d6\u94fe\u63a5\uff1a\r\nhttps://github.com/FFmpeg/FFmpeg/commit/e371f031b942d73e02c090170975561fabd5c264",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2017-05089",
  "openTime": "2017-04-22",
  "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\nFFmpe\u4e2d\u7684libavcodec/pngdec.c\u6587\u4ef6\u7684\u0027decode_zbuf\u0027\u51fd\u6570\u5b58\u5728\u6808\u7f13\u51b2\u533a\u6ea2\u51fa\u6f0f\u6d1e\u3002\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u9020\u6210\u62d2\u7edd\u670d\u52a1\uff08\u8d8a\u8fb9\u754c\u5199\u5165\uff09\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 \u0027decode_zbuf\u0027\u51fd\u6570\u6808\u7f13\u51b2\u533a\u6ea2\u51fa\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": "FFmpeg Ffmpeg \u003c=2.8.9"
  },
  "referenceLink": "https://bugs.chromium.org/p/oss-fuzz/issues/detail?id=444\r\nhttps://nvd.nist.gov/vuln/detail/CVE-2017-7866",
  "serverity": "\u9ad8",
  "submitTime": "2017-04-20",
  "title": "FFmpeg \u0027decode_zbuf\u0027\u51fd\u6570\u6808\u7f13\u51b2\u533a\u6ea2\u51fa\u6f0f\u6d1e"
}

CVE-2017-7866 (GCVE-0-2017-7866)

Vulnerability from cvelistv5 – Published: 2017-04-14 04:30 – Updated: 2024-08-05 16:19

Summary

FFmpeg before 2017-01-23 has an out-of-bounds write caused by a stack-based buffer overflow related to the decode_zbuf function in libavcodec/pngdec.c.

Severity

No CVSS data available.

CWE

Assigner

mitre mitre root

References

3 references

URL	Tags
http://www.securityfocus.com/bid/97664	vdb-entryx_refsource_BID
https://bugs.chromium.org/p/oss-fuzz/issues/detai…	x_refsource_MISC
https://github.com/FFmpeg/FFmpeg/commit/e371f031b…	x_refsource_MISC

Date Public

2017-04-14 00:00

Show details on NVD website

JSON

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          "dateUpdated": "2024-08-05T16:19:29.170Z",
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            "url": "http://www.securityfocus.com/bid/97664"
          },
          {
            "tags": [
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            ],
            "url": "https://bugs.chromium.org/p/oss-fuzz/issues/detail?id=444"
          },
          {
            "tags": [
              "x_refsource_MISC",
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            ],
            "url": "https://github.com/FFmpeg/FFmpeg/commit/e371f031b942d73e02c090170975561fabd5c264"
          }
        ],
        "title": "CVE Program Container"
      }
    ],
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          "lang": "en",
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        }
      ],
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        },
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          "url": "https://bugs.chromium.org/p/oss-fuzz/issues/detail?id=444"
        },
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          "url": "https://github.com/FFmpeg/FFmpeg/commit/e371f031b942d73e02c090170975561fabd5c264"
        }
      ],
      "x_legacyV4Record": {
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          "ID": "CVE-2017-7866",
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            "vendor_data": [
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                "product": {
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                            "version_value": "n/a"
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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.