Vulnerability-Lookup

CNVD-2024-09640

Vulnerability from cnvd - Published: 2024-02-22

Title

OpenEX缓冲区溢出漏洞

Description

OpenEXR是一种高动态范围图像（HDR）文件格式的开放标准。 OpenEXR 3.2.1及之前版本存在缓冲区溢出漏洞，该漏洞源于无法验证包含深度扫描线数据的扫描线样本数量。攻击者可利用该漏洞导致缓冲区溢出。

Severity

高

Formal description

厂商尚未提供漏洞修复方案，请关注厂商主页更新： https://takeonme.org/cves/CVE-2023-5841.html

Reference

https://nvd.nist.gov/vuln/detail/CVE-2023-5841

Impacted products

Name
OpenEX OpenEX <=3.2.1

Show details on source website

JSON

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{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2023-5841",
      "cveUrl": "https://nvd.nist.gov/vuln/detail/CVE-2023-5841"
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  },
  "description": "OpenEXR\u662f\u4e00\u79cd\u9ad8\u52a8\u6001\u8303\u56f4\u56fe\u50cf\uff08HDR\uff09\u6587\u4ef6\u683c\u5f0f\u7684\u5f00\u653e\u6807\u51c6\u3002\n\nOpenEXR 3.2.1\u53ca\u4e4b\u524d\u7248\u672c\u5b58\u5728\u7f13\u51b2\u533a\u6ea2\u51fa\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u65e0\u6cd5\u9a8c\u8bc1\u5305\u542b\u6df1\u5ea6\u626b\u63cf\u7ebf\u6570\u636e\u7684\u626b\u63cf\u7ebf\u6837\u672c\u6570\u91cf\u3002\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u5bfc\u81f4\u7f13\u51b2\u533a\u6ea2\u51fa\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://takeonme.org/cves/CVE-2023-5841.html",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2024-09640",
  "openTime": "2024-02-22",
  "products": {
    "product": "OpenEX OpenEX \u003c=3.2.1"
  },
  "referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2023-5841",
  "serverity": "\u9ad8",
  "submitTime": "2024-02-04",
  "title": "OpenEX\u7f13\u51b2\u533a\u6ea2\u51fa\u6f0f\u6d1e"
}

CVE-2023-5841 (GCVE-0-2023-5841)

Vulnerability from cvelistv5 – Published: 2024-02-01 18:28 – Updated: 2025-11-04 16:10

Title

OpenEXR Heap Overflow in Scanline Deep Data Parsing

Summary

Due to a failure in validating the number of scanline samples of a OpenEXR file containing deep scanline data, Academy Software Foundation OpenEX image parsing library version 3.2.1 and prior is susceptible to a heap-based buffer overflow vulnerability. This issue was resolved as of versions v3.2.2 and v3.1.12 of the affected library.

Severity

9.1 (Critical)


                        
                          CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:N

SSVC

Exploitation: poc Automatable: yes Technical Impact: total

CISA Coordinator · CISA-ADP (v2.0.3)

Decision recorded 2025-05-15 15:17 UTC

CWE

CWE-122 - Heap-based Buffer Overflow

Assigner

AHA mitre root

References

6 references

URL	Tags
https://takeonme.org/cves/CVE-2023-5841.html
https://lists.fedoraproject.org/archives/list/pac…
https://lists.fedoraproject.org/archives/list/pac…
http://seclists.org/fulldisclosure/2024/Sep/36
http://seclists.org/fulldisclosure/2024/Sep/34
http://seclists.org/fulldisclosure/2024/Sep/32

Impacted products

1 product

Vendor	Product	Version
Academy Software Foundation	OpenEXR	Affected: 0 , ≤ 3.2.1 (semver) Unaffected: 3.2.2 Unaffected: 3.1.12

Date Public

2024-01-31 22:35

Credits

zenofex WanderingGlitch Austin Hackers Anonymous!

Show details on NVD website

JSON

To clipboard

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Sightings

Author	Source	Type	Date	Other

Nomenclature

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Confirmed: The vulnerability has been validated from an analyst's perspective.
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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.
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CNVD-2024-09640

CVE-2023-5841 (GCVE-0-2023-5841)

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