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

CNVD-2021-30182

Vulnerability from cnvd - Published: 2021-04-22
VLAI
Title
GPAC空指针解引用漏洞(CNVD-2021-30182)
Description
GPAC是一种面向富媒体并以LGPL许可证分发的多媒体框架。 GPAC 1.0.1版本中的filter_core/filter_pck.c:gf_filter_pck_new_alloc_internal函数存在空指针解引用漏洞。攻击者可利用该漏洞导致程序崩溃。
Severity
Patch Name
GPAC空指针解引用漏洞(CNVD-2021-30182)的补丁
Patch Description
GPAC是一种面向富媒体并以LGPL许可证分发的多媒体框架。 GPAC 1.0.1版本中的filter_core/filter_pck.c:gf_filter_pck_new_alloc_internal函数存在空指针解引用漏洞。攻击者可利用该漏洞导致程序崩溃。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/gpac/gpac/commit/13dad7d5ef74ca2e6fe4010f5b03eb12e9bbe0ec

Reference
https://nvd.nist.gov/vuln/detail/CVE-2021-30015
Impacted products
Name
GPAC GPAC 1.0.1
Show details on source website

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2021-30015",
      "cveUrl": "https://nvd.nist.gov/vuln/detail/CVE-2021-30015"
    }
  },
  "description": "GPAC\u662f\u4e00\u79cd\u9762\u5411\u5bcc\u5a92\u4f53\u5e76\u4ee5LGPL\u8bb8\u53ef\u8bc1\u5206\u53d1\u7684\u591a\u5a92\u4f53\u6846\u67b6\u3002\n\nGPAC 1.0.1\u7248\u672c\u4e2d\u7684filter_core/filter_pck.c:gf_filter_pck_new_alloc_internal\u51fd\u6570\u5b58\u5728\u7a7a\u6307\u9488\u89e3\u5f15\u7528\u6f0f\u6d1e\u3002\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u5bfc\u81f4\u7a0b\u5e8f\u5d29\u6e83\u3002",
  "formalWay": "\u5382\u5546\u5df2\u53d1\u5e03\u4e86\u6f0f\u6d1e\u4fee\u590d\u7a0b\u5e8f\uff0c\u8bf7\u53ca\u65f6\u5173\u6ce8\u66f4\u65b0\uff1ahttps://github.com/gpac/gpac/commit/13dad7d5ef74ca2e6fe4010f5b03eb12e9bbe0ec",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2021-30182",
  "openTime": "2021-04-22",
  "patchDescription": "GPAC\u662f\u4e00\u79cd\u9762\u5411\u5bcc\u5a92\u4f53\u5e76\u4ee5LGPL\u8bb8\u53ef\u8bc1\u5206\u53d1\u7684\u591a\u5a92\u4f53\u6846\u67b6\u3002\r\n\r\nGPAC 1.0.1\u7248\u672c\u4e2d\u7684filter_core/filter_pck.c:gf_filter_pck_new_alloc_internal\u51fd\u6570\u5b58\u5728\u7a7a\u6307\u9488\u89e3\u5f15\u7528\u6f0f\u6d1e\u3002\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u5bfc\u81f4\u7a0b\u5e8f\u5d29\u6e83\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": "GPAC\u7a7a\u6307\u9488\u89e3\u5f15\u7528\u6f0f\u6d1e\uff08CNVD-2021-30182\uff09\u7684\u8865\u4e01",
  "products": {
    "product": "GPAC GPAC 1.0.1"
  },
  "referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2021-30015",
  "serverity": "\u4e2d",
  "submitTime": "2021-04-20",
  "title": "GPAC\u7a7a\u6307\u9488\u89e3\u5f15\u7528\u6f0f\u6d1e\uff08CNVD-2021-30182\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…