Vulnerability-Lookup

CNVD-2023-01792

Vulnerability from cnvd - Published: 2023-01-09

Title

OpenImageIO代码执行漏洞（CNVD-2023-01792）

Description

OpenImageIO是一个图像读写库，同时提供一些工具和应用。 OpenImageIO v2.4.4.2的IFFOutput::close()功能存在代码执行漏洞。攻击者可利用该漏洞通过特制的ImageOutput对象导致堆缓冲区溢出（当“ymax”变量设置为0xFFFF且“m_spec.format”为“TypeDesc:：UINT16”时，会出现此漏洞）。

Severity

高

Formal description

目前没有详细解决方案提供： https://github.com/OpenImageIO/oiio

Reference

https://nvd.nist.gov/vuln/detail/CVE-2022-43601

Impacted products

Name
OpenImageIO OpenImageIO 2.4.4.2

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JSON

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  "cves": {
    "cve": {
      "cveNumber": "CVE-2022-43601",
      "cveUrl": "https://nvd.nist.gov/vuln/detail/CVE-2022-43601"
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  "description": "OpenImageIO\u662f\u4e00\u4e2a\u56fe\u50cf\u8bfb\u5199\u5e93\uff0c\u540c\u65f6\u63d0\u4f9b\u4e00\u4e9b\u5de5\u5177\u548c\u5e94\u7528\u3002\n\nOpenImageIO v2.4.4.2\u7684IFFOutput::close()\u529f\u80fd\u5b58\u5728\u4ee3\u7801\u6267\u884c\u6f0f\u6d1e\u3002\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u901a\u8fc7\u7279\u5236\u7684ImageOutput\u5bf9\u8c61\u5bfc\u81f4\u5806\u7f13\u51b2\u533a\u6ea2\u51fa\uff08\u5f53\u201cymax\u201d\u53d8\u91cf\u8bbe\u7f6e\u4e3a0xFFFF\u4e14\u201cm_spec.format\u201d\u4e3a\u201cTypeDesc:\uff1aUINT16\u201d\u65f6\uff0c\u4f1a\u51fa\u73b0\u6b64\u6f0f\u6d1e\uff09\u3002",
  "formalWay": "\u76ee\u524d\u6ca1\u6709\u8be6\u7ec6\u89e3\u51b3\u65b9\u6848\u63d0\u4f9b\uff1a\r\nhttps://github.com/OpenImageIO/oiio",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2023-01792",
  "openTime": "2023-01-09",
  "products": {
    "product": "OpenImageIO OpenImageIO 2.4.4.2"
  },
  "referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2022-43601",
  "serverity": "\u9ad8",
  "submitTime": "2022-12-23",
  "title": "OpenImageIO\u4ee3\u7801\u6267\u884c\u6f0f\u6d1e\uff08CNVD-2023-01792\uff09"
}

CVE-2022-43601 (GCVE-0-2022-43601)

Vulnerability from cvelistv5 – Published: 2022-12-23 23:03 – Updated: 2025-04-14 18:53

Summary

Multiple code execution vulnerabilities exist in the IFFOutput::close() functionality of OpenImageIO Project OpenImageIO v2.4.4.2. A specially crafted ImageOutput Object can lead to a heap buffer overflow. An attacker can provide malicious input to trigger these vulnerabilities.This vulnerability arises when the `ymax` variable is set to 0xFFFF and `m_spec.format` is `TypeDesc::UINT16`

Severity

8.1 (High)


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

SSVC

Exploitation: poc Automatable: no Technical Impact: total

CISA Coordinator · CISA-ADP (v2.0.3)

Decision recorded 2025-04-14 18:53 UTC

CWE

CWE-122 - Heap-based Buffer Overflow

Assigner

talos mitre root

References

3 references

URL	Tags
https://talosintelligence.com/vulnerability_repor…
https://www.debian.org/security/2023/dsa-5384
https://security.gentoo.org/glsa/202305-33

Impacted products

1 product

Vendor	Product	Version
OpenImageIO Project	OpenImageIO	Affected: v2.4.4.2

Show details on NVD website

JSON

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        "providerMetadata": {
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        }
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      "metrics": [
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            "confidentialityImpact": "HIGH",
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    "state": "PUBLISHED"
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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.