Vulnerability-Lookup

CNVD-2022-03630

Vulnerability from cnvd - Published: 2022-01-14

Title

GPAC Project on Advanced Content整数溢出漏洞（CNVD-2022-03630）

Description

GPAC Project Advanced Content是MPEG-4系统标准的实现，以ANSI C编写。 GPAC Project on Advanced Content存在整数溢出漏洞，该漏洞源于未经检查的算法，远程攻击者可利用该漏洞造成堆缓冲区溢出，导致内存破坏。

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://gpac.wp.imt.fr/

Reference

https://nvd.nist.gov/vuln/detail/CVE-2021-21840

Impacted products

Name
GPAC Project on Advanced Content 1.0.1

Show details on source website

JSON

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  "description": "GPAC Project Advanced Content\u662fMPEG-4\u7cfb\u7edf\u6807\u51c6\u7684\u5b9e\u73b0\uff0c\u4ee5ANSI C\u7f16\u5199\u3002\n\nGPAC Project on Advanced Content\u5b58\u5728\u6574\u6570\u6ea2\u51fa\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u672a\u7ecf\u68c0\u67e5\u7684\u7b97\u6cd5\uff0c\u8fdc\u7a0b\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u9020\u6210\u5806\u7f13\u51b2\u533a\u6ea2\u51fa\uff0c\u5bfc\u81f4\u5185\u5b58\u7834\u574f\u3002",
  "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://gpac.wp.imt.fr/",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2022-03630",
  "openTime": "2022-01-14",
  "products": {
    "product": "GPAC Project on Advanced Content 1.0.1"
  },
  "referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2021-21840",
  "serverity": "\u4e2d",
  "submitTime": "2021-08-25",
  "title": "GPAC Project on Advanced Content\u6574\u6570\u6ea2\u51fa\u6f0f\u6d1e\uff08CNVD-2022-03630\uff09"
}

CVE-2021-21840 (GCVE-0-2021-21840)

Vulnerability from cvelistv5 – Published: 2021-08-25 18:21 – Updated: 2024-08-03 18:23

Summary

An exploitable integer overflow vulnerability exists within the MPEG-4 decoding functionality of the GPAC Project on Advanced Content library v1.0.1. A specially crafted MPEG-4 input used to process an atom using the “saio” FOURCC code cause an integer overflow due to unchecked arithmetic resulting in a heap-based buffer overflow that causes memory corruption. An attacker can convince a user to open a video to trigger this vulnerability.

Severity

8.8 (High)


                        
                          CVSS:3.0/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H

CWE

CWE-680 - Integer Overflow to Buffer Overflow

Assigner

talos mitre root

References

2 references

URL	Tags
https://talosintelligence.com/vulnerability_repor…	x_refsource_MISC
https://www.debian.org/security/2021/dsa-4966	vendor-advisoryx_refsource_DEBIAN

Impacted products

1 product

Vendor	Product	Version
n/a	GPAC Project	Affected: GPAC Project Advanced Content commit a8a8d412dabcb129e695c3e7d861fcc81f608304, GPAC Project Advanced Content v1.0.1

Show details on NVD website

JSON

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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.