Vulnerability-Lookup

CNVD-2021-30596

Vulnerability from cnvd - Published: 2021-04-25

Title

OpenJPEG整数溢出漏洞（CNVD-2021-30596）

Description

OpenJPEG是一款用C语言编写的开源JPEG 2000编解码器。 OpenJPEG v2.4.0版本存在整数溢出漏洞。攻击者可通过在包含1048576文件的目录上使用命令行选项"-ImgDir"利用该漏洞导致程序崩溃。

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://github.com/uclouvain/openjpeg

Reference

https://nvd.nist.gov/vuln/detail/CVE-2021-29338

Impacted products

Name
OpenJPEG OpenJPEG v2.4.0

Show details on source website

JSON

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{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2021-29338",
      "cveUrl": "https://nvd.nist.gov/vuln/detail/CVE-2021-29338"
    }
  },
  "description": "OpenJPEG\u662f\u4e00\u6b3e\u7528C\u8bed\u8a00\u7f16\u5199\u7684\u5f00\u6e90JPEG 2000\u7f16\u89e3\u7801\u5668\u3002\n\nOpenJPEG v2.4.0\u7248\u672c\u5b58\u5728\u6574\u6570\u6ea2\u51fa\u6f0f\u6d1e\u3002\u653b\u51fb\u8005\u53ef\u901a\u8fc7\u5728\u5305\u542b1048576\u6587\u4ef6\u7684\u76ee\u5f55\u4e0a\u4f7f\u7528\u547d\u4ee4\u884c\u9009\u9879\"-ImgDir\"\u5229\u7528\u8be5\u6f0f\u6d1e\u5bfc\u81f4\u7a0b\u5e8f\u5d29\u6e83\u3002",
  "formalWay": "\u5382\u5546\u5c1a\u672a\u63d0\u4f9b\u6f0f\u6d1e\u4fee\u590d\u65b9\u6848\uff0c\u8bf7\u5173\u6ce8\u5382\u5546\u4e3b\u9875\u66f4\u65b0\uff1ahttps://github.com/uclouvain/openjpeg",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2021-30596",
  "openTime": "2021-04-25",
  "products": {
    "product": "OpenJPEG OpenJPEG v2.4.0"
  },
  "referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2021-29338",
  "serverity": "\u4e2d",
  "submitTime": "2021-04-15",
  "title": "OpenJPEG\u6574\u6570\u6ea2\u51fa\u6f0f\u6d1e\uff08CNVD-2021-30596\uff09"
}

CVE-2021-29338 (GCVE-0-2021-29338)

Vulnerability from cvelistv5 – Published: 2021-04-14 13:52 – Updated: 2025-11-03 19:25

Summary

Integer Overflow in OpenJPEG v2.4.0 allows remote attackers to crash the application, causing a Denial of Service (DoS). This occurs when the attacker uses the command line option "-ImgDir" on a directory that contains 1048576 files.

Severity

No CVSS data available.

CWE

Assigner

mitre mitre root

References

6 references

URL	Tags
https://github.com/uclouvain/openjpeg/issues/1338	x_refsource_MISC
https://lists.fedoraproject.org/archives/list/pac…	vendor-advisoryx_refsource_FEDORA
https://lists.fedoraproject.org/archives/list/pac…	vendor-advisoryx_refsource_FEDORA
https://lists.debian.org/debian-lts-announce/2022…	mailing-listx_refsource_MLIST
https://security.gentoo.org/glsa/202209-04	vendor-advisoryx_refsource_GENTOO
https://lists.debian.org/debian-lts-announce/2025…

Show details on NVD website

JSON

To clipboard

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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.