Vulnerability-Lookup

CNVD-2019-02930

Vulnerability from cnvd - Published: 2019-01-25

Title

FFmpeg ASF_F format demuxer数组越界读取漏洞

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。ASF_F format demuxer是其中的一个视、音频分离器。 FFmpeg commit 5aba5b89d0b1d73164d3b81764828bb8b20ff32a之前版本中的ASF_F format demuxer数组存在越界读取漏洞。攻击者可借助特制的ASF文件利用该漏洞读取堆内存。

Severity

中

Patch Name

FFmpeg ASF_F format demuxer数组越界读取漏洞的补丁

Patch Description

Formal description

厂商已发布漏洞修复程序，请及时关注更新： https://github.com/FFmpeg/FFmpeg/commit/5aba5b89d0b1d73164d3b81764828bb8b20ff32a

Reference

https://nvd.nist.gov/vuln/detail/CVE-2018-1999015

Impacted products

Name
FFmpeg Ffmpeg <commit 5aba5b89d0b1d73164d3b81764828bb8b20ff32a

Show details on source website

JSON

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{
  "bids": {
    "bid": {
      "bidNumber": "104896"
    }
  },
  "cves": {
    "cve": {
      "cveNumber": "CVE-2018-1999015"
    }
  },
  "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\u3002ASF_F format demuxer\u662f\u5176\u4e2d\u7684\u4e00\u4e2a\u89c6\u3001\u97f3\u9891\u5206\u79bb\u5668\u3002\n\nFFmpeg commit 5aba5b89d0b1d73164d3b81764828bb8b20ff32a\u4e4b\u524d\u7248\u672c\u4e2d\u7684ASF_F format demuxer\u6570\u7ec4\u5b58\u5728\u8d8a\u754c\u8bfb\u53d6\u6f0f\u6d1e\u3002\u653b\u51fb\u8005\u53ef\u501f\u52a9\u7279\u5236\u7684ASF\u6587\u4ef6\u5229\u7528\u8be5\u6f0f\u6d1e\u8bfb\u53d6\u5806\u5185\u5b58\u3002",
  "discovererName": "Paul Ch",
  "formalWay": "\u5382\u5546\u5df2\u53d1\u5e03\u6f0f\u6d1e\u4fee\u590d\u7a0b\u5e8f\uff0c\u8bf7\u53ca\u65f6\u5173\u6ce8\u66f4\u65b0\uff1a\r\nhttps://github.com/FFmpeg/FFmpeg/commit/5aba5b89d0b1d73164d3b81764828bb8b20ff32a",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2019-02930",
  "openTime": "2019-01-25",
  "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\u3002ASF_F format demuxer\u662f\u5176\u4e2d\u7684\u4e00\u4e2a\u89c6\u3001\u97f3\u9891\u5206\u79bb\u5668\u3002\r\n\r\nFFmpeg commit 5aba5b89d0b1d73164d3b81764828bb8b20ff32a\u4e4b\u524d\u7248\u672c\u4e2d\u7684ASF_F format demuxer\u6570\u7ec4\u5b58\u5728\u8d8a\u754c\u8bfb\u53d6\u6f0f\u6d1e\u3002\u653b\u51fb\u8005\u53ef\u501f\u52a9\u7279\u5236\u7684ASF\u6587\u4ef6\u5229\u7528\u8be5\u6f0f\u6d1e\u8bfb\u53d6\u5806\u5185\u5b58\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 ASF_F format demuxer\u6570\u7ec4\u8d8a\u754c\u8bfb\u53d6\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": "FFmpeg Ffmpeg \u003ccommit 5aba5b89d0b1d73164d3b81764828bb8b20ff32a"
  },
  "referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2018-1999015",
  "serverity": "\u4e2d",
  "submitTime": "2018-07-24",
  "title": "FFmpeg ASF_F format demuxer\u6570\u7ec4\u8d8a\u754c\u8bfb\u53d6\u6f0f\u6d1e"
}

CVE-2018-1999015 (GCVE-0-2018-1999015)

Vulnerability from cvelistv5 – Published: 2018-07-23 15:00 – Updated: 2024-08-05 12:47

Summary

FFmpeg before commit 5aba5b89d0b1d73164d3b81764828bb8b20ff32a contains an out of array read vulnerability in ASF_F format demuxer that can result in heap memory reading. This attack appear to be exploitable via specially crafted ASF file that has to provided as input. This vulnerability appears to have been fixed in 5aba5b89d0b1d73164d3b81764828bb8b20ff32a and later.

Severity

No CVSS data available.

CWE

Assigner

mitre CNA under the mitre root

CNA scorecard E 27/100 over 2350 records in the last 180 days details

References

2 references

URL	Tags
http://www.securityfocus.com/bid/104896	vdb-entryx_refsource_BID
https://github.com/FFmpeg/FFmpeg/commit/5aba5b89d…	x_refsource_CONFIRM

Date Public

2018-07-03 00:00

Show details on NVD website

JSON

To clipboard

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        "providerMetadata": {
          "dateUpdated": "2024-08-05T12:47:57.495Z",
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            ],
            "url": "http://www.securityfocus.com/bid/104896"
          },
          {
            "tags": [
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            ],
            "url": "https://github.com/FFmpeg/FFmpeg/commit/5aba5b89d0b1d73164d3b81764828bb8b20ff32a"
          }
        ],
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    "cna": {
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      "dateAssigned": "2018-07-20T00:00:00.000Z",
      "datePublic": "2018-07-03T00:00:00.000Z",
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        }
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        "dateUpdated": "2018-07-27T09:57:01.000Z",
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      },
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          "url": "https://github.com/FFmpeg/FFmpeg/commit/5aba5b89d0b1d73164d3b81764828bb8b20ff32a"
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      "x_legacyV4Record": {
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          "ASSIGNER": "cve@mitre.org",
          "DATE_ASSIGNED": "2018-07-20T20:44:32.981391",
          "DATE_REQUESTED": "2018-07-13T16:19:44",
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          "REQUESTER": "paulcher@icloud.com",
          "STATE": "PUBLIC"
        },
        "affects": {
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                      "version": {
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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.

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.

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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.

Action not permitted

CNVD-2019-02930

CVE-2018-1999015 (GCVE-0-2018-1999015)

Tags

Sightings

Nomenclature

Related by attack behaviour