Vulnerability-Lookup

CNVD-2018-14428

Vulnerability from cnvd - Published: 2018-08-01

Title

tinyexr缓冲区溢出漏洞（CNVD-2018-14428）

Description

tinyexr是一个小型OpenEXR图像加载/保存库。 tinyexr 0.9.5版本中的tinyexr.h文件的‘tinyexr::DecodePixelData’函数存在缓冲区溢出漏洞。攻击者可利用该漏洞造成缓冲区越界读取。

Severity

高

Patch Name

tinyexr缓冲区溢出漏洞的补丁

Patch Description

tinyexr是一个小型OpenEXR图像加载/保存库。 tinyexr 0.9.5版本中的tinyexr.h文件的‘tinyexr::DecodePixelData’函数存在缓冲区溢出漏洞。攻击者可利用该漏洞造成缓冲区越界读取。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

厂商已发布漏洞修复程序，请及时关注更新： https://github.com/syoyo/tinyexr/commit/e7e513ccf83a31145244dcc214abc8e322e1c672

Reference

https://nvd.nist.gov/vuln/detail/CVE-2018-12092

Impacted products

Name
tinyexr tinyexr 0.9.5

Show details on source website

JSON

To clipboard

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  "cves": {
    "cve": {
      "cveNumber": "CVE-2018-12092"
    }
  },
  "description": "tinyexr\u662f\u4e00\u4e2a\u5c0f\u578bOpenEXR\u56fe\u50cf\u52a0\u8f7d/\u4fdd\u5b58\u5e93\u3002\r\n\r\ntinyexr 0.9.5\u7248\u672c\u4e2d\u7684tinyexr.h\u6587\u4ef6\u7684\u2018tinyexr::DecodePixelData\u2019\u51fd\u6570\u5b58\u5728\u7f13\u51b2\u533a\u6ea2\u51fa\u6f0f\u6d1e\u3002\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u9020\u6210\u7f13\u51b2\u533a\u8d8a\u754c\u8bfb\u53d6\u3002",
  "discovererName": "Unknow",
  "formalWay": "\u5382\u5546\u5df2\u53d1\u5e03\u6f0f\u6d1e\u4fee\u590d\u7a0b\u5e8f\uff0c\u8bf7\u53ca\u65f6\u5173\u6ce8\u66f4\u65b0\uff1a\r\nhttps://github.com/syoyo/tinyexr/commit/e7e513ccf83a31145244dcc214abc8e322e1c672",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2018-14428",
  "openTime": "2018-08-01",
  "patchDescription": "tinyexr\u662f\u4e00\u4e2a\u5c0f\u578bOpenEXR\u56fe\u50cf\u52a0\u8f7d/\u4fdd\u5b58\u5e93\u3002\r\n\r\ntinyexr 0.9.5\u7248\u672c\u4e2d\u7684tinyexr.h\u6587\u4ef6\u7684\u2018tinyexr::DecodePixelData\u2019\u51fd\u6570\u5b58\u5728\u7f13\u51b2\u533a\u6ea2\u51fa\u6f0f\u6d1e\u3002\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u9020\u6210\u7f13\u51b2\u533a\u8d8a\u754c\u8bfb\u53d6\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": "tinyexr\u7f13\u51b2\u533a\u6ea2\u51fa\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": "tinyexr tinyexr 0.9.5"
  },
  "referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2018-12092",
  "serverity": "\u9ad8",
  "submitTime": "2018-06-12",
  "title": "tinyexr\u7f13\u51b2\u533a\u6ea2\u51fa\u6f0f\u6d1e\uff08CNVD-2018-14428\uff09"
}

CVE-2018-12092 (GCVE-0-2018-12092)

Vulnerability from cvelistv5 – Published: 2018-06-11 11:00 – Updated: 2024-08-05 08:24

Summary

tinyexr 0.9.5 has a heap-based buffer over-read in tinyexr::DecodePixelData in tinyexr.h, related to OpenEXR code.

Severity

No CVSS data available.

CWE

Assigner

mitre mitre root

References

1 reference

URL	Tags
https://github.com/syoyo/tinyexr/issues/78	x_refsource_MISC

Date Public

2018-06-11 00:00

Show details on NVD website

JSON

To clipboard

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            ],
            "url": "https://github.com/syoyo/tinyexr/issues/78"
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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.