Vulnerability-Lookup

CNVD-2018-05450

Vulnerability from cnvd - Published: 2018-03-16

Title

Cimg 'load_bmp'函数堆缓冲区越边界读取漏洞

Description

CImg是一款开源的用于图像处理的C++工具库。 CImg 220版本中的CImg.h文件的'load_bmp'函数存在堆缓冲区越边界读取漏洞。目前没有详细的漏洞细节提供。

Severity

中

Patch Name

Cimg 'load_bmp'函数堆缓冲区越边界读取漏洞的补丁

Patch Description

CImg是一款开源的用于图像处理的C++工具库。 CImg 220版本中的CImg.h文件的'load_bmp'函数存在堆缓冲区越边界读取漏洞。目前没有详细的漏洞细节提供。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/dtschump/CImg/commit/10af1e8c1ad2a58a0a3342a856bae63e8f257abb

Reference

https://nvd.nist.gov/vuln/detail/CVE-2018-7640

Impacted products

Name
Cimg Cimg v.220

Show details on source website

JSON

To clipboard

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2018-7640"
    }
  },
  "description": "CImg\u662f\u4e00\u6b3e\u5f00\u6e90\u7684\u7528\u4e8e\u56fe\u50cf\u5904\u7406\u7684C++\u5de5\u5177\u5e93\u3002\r\n\r\nCImg 220\u7248\u672c\u4e2d\u7684CImg.h\u6587\u4ef6\u7684\u0027load_bmp\u0027\u51fd\u6570\u5b58\u5728\u5806\u7f13\u51b2\u533a\u8d8a\u8fb9\u754c\u8bfb\u53d6\u6f0f\u6d1e\u3002\u76ee\u524d\u6ca1\u6709\u8be6\u7ec6\u7684\u6f0f\u6d1e\u7ec6\u8282\u63d0\u4f9b\u3002",
  "discovererName": "xiaoqx",
  "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/dtschump/CImg/commit/10af1e8c1ad2a58a0a3342a856bae63e8f257abb",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2018-05450",
  "openTime": "2018-03-16",
  "patchDescription": "CImg\u662f\u4e00\u6b3e\u5f00\u6e90\u7684\u7528\u4e8e\u56fe\u50cf\u5904\u7406\u7684C++\u5de5\u5177\u5e93\u3002\r\n\r\nCImg 220\u7248\u672c\u4e2d\u7684CImg.h\u6587\u4ef6\u7684\u0027load_bmp\u0027\u51fd\u6570\u5b58\u5728\u5806\u7f13\u51b2\u533a\u8d8a\u8fb9\u754c\u8bfb\u53d6\u6f0f\u6d1e\u3002\u76ee\u524d\u6ca1\u6709\u8be6\u7ec6\u7684\u6f0f\u6d1e\u7ec6\u8282\u63d0\u4f9b\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": "Cimg \u0027load_bmp\u0027\u51fd\u6570\u5806\u7f13\u51b2\u533a\u8d8a\u8fb9\u754c\u8bfb\u53d6\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": "Cimg Cimg v.220"
  },
  "referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2018-7640",
  "serverity": "\u4e2d",
  "submitTime": "2018-03-05",
  "title": "Cimg \u0027load_bmp\u0027\u51fd\u6570\u5806\u7f13\u51b2\u533a\u8d8a\u8fb9\u754c\u8bfb\u53d6\u6f0f\u6d1e"
}

CVE-2018-7640 (GCVE-0-2018-7640)

Vulnerability from cvelistv5 – Published: 2018-03-02 14:00 – Updated: 2024-08-05 06:31

Summary

An issue was discovered in CImg v.220. A heap-based buffer over-read in load_bmp in CImg.h occurs when loading a crafted bmp image, a different vulnerability than CVE-2018-7588. This is in a Monochrome case, aka case 1.

Severity

No CVSS data available.

CWE

Assigner

mitre mitre root

References

3 references

URL	Tags
https://github.com/dtschump/CImg/issues/185	x_refsource_MISC
https://lists.debian.org/debian-lts-announce/2019…	mailing-listx_refsource_MLIST
https://lists.debian.org/debian-lts-announce/2020…	mailing-listx_refsource_MLIST

Date Public

2018-03-02 00:00

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.