Vulnerability-Lookup

CNVD-2018-26473

Vulnerability from cnvd - Published: 2018-12-25

Title

LibRaw栈缓冲区溢出漏洞（CNVD-2018-26473）

Description

LibRaw是LibRaw团队开发的一个用来处理RAW(CRW/CR2、NEF、RAF、DNG和others)格式图片的C++库。 LibRaw 0.19.1版本中的dcraw_common.cpp文件的‘parse_makernote’函数存在基于栈的缓冲区溢出漏洞。攻击者可借助特制的数据利用该漏洞造成拒绝服务。

Severity

中

Patch Name

LibRaw栈缓冲区溢出漏洞（CNVD-2018-26473）的补丁

Patch Description

Formal description

厂商已发布漏洞修复程序，请及时关注更新： https://github.com/LibRaw/LibRaw/commit/fbf60377c006eaea8d3eca3f5e4c654909dcdfd2

Reference

https://nvd.nist.gov/vuln/detail/CVE-2018-20337

Impacted products

Name
LibRaw LibRaw 0.19.1

Show details on source website

JSON

To clipboard

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2018-20337"
    }
  },
  "description": "LibRaw\u662fLibRaw\u56e2\u961f\u5f00\u53d1\u7684\u4e00\u4e2a\u7528\u6765\u5904\u7406RAW(CRW/CR2\u3001NEF\u3001RAF\u3001DNG\u548cothers)\u683c\u5f0f\u56fe\u7247\u7684C++\u5e93\u3002\n\nLibRaw 0.19.1\u7248\u672c\u4e2d\u7684dcraw_common.cpp\u6587\u4ef6\u7684\u2018parse_makernote\u2019\u51fd\u6570\u5b58\u5728\u57fa\u4e8e\u6808\u7684\u7f13\u51b2\u533a\u6ea2\u51fa\u6f0f\u6d1e\u3002\u653b\u51fb\u8005\u53ef\u501f\u52a9\u7279\u5236\u7684\u6570\u636e\u5229\u7528\u8be5\u6f0f\u6d1e\u9020\u6210\u62d2\u7edd\u670d\u52a1\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/LibRaw/LibRaw/commit/fbf60377c006eaea8d3eca3f5e4c654909dcdfd2",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2018-26473",
  "openTime": "2018-12-25",
  "patchDescription": "LibRaw\u662fLibRaw\u56e2\u961f\u5f00\u53d1\u7684\u4e00\u4e2a\u7528\u6765\u5904\u7406RAW(CRW/CR2\u3001NEF\u3001RAF\u3001DNG\u548cothers)\u683c\u5f0f\u56fe\u7247\u7684C++\u5e93\u3002\r\n\r\nLibRaw 0.19.1\u7248\u672c\u4e2d\u7684dcraw_common.cpp\u6587\u4ef6\u7684\u2018parse_makernote\u2019\u51fd\u6570\u5b58\u5728\u57fa\u4e8e\u6808\u7684\u7f13\u51b2\u533a\u6ea2\u51fa\u6f0f\u6d1e\u3002\u653b\u51fb\u8005\u53ef\u501f\u52a9\u7279\u5236\u7684\u6570\u636e\u5229\u7528\u8be5\u6f0f\u6d1e\u9020\u6210\u62d2\u7edd\u670d\u52a1\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": "LibRaw\u6808\u7f13\u51b2\u533a\u6ea2\u51fa\u6f0f\u6d1e\uff08CNVD-2018-26473\uff09\u7684\u8865\u4e01",
  "products": {
    "product": "LibRaw LibRaw 0.19.1"
  },
  "referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2018-20337",
  "serverity": "\u4e2d",
  "submitTime": "2018-12-24",
  "title": "LibRaw\u6808\u7f13\u51b2\u533a\u6ea2\u51fa\u6f0f\u6d1e\uff08CNVD-2018-26473\uff09"
}

CVE-2018-20337 (GCVE-0-2018-20337)

Vulnerability from cvelistv5 – Published: 2018-12-21 09:00 – Updated: 2024-08-05 11:58

Summary

There is a stack-based buffer overflow in the parse_makernote function of dcraw_common.cpp in LibRaw 0.19.1. Crafted input will lead to a denial of service or possibly unspecified other impact.

Severity

No CVSS data available.

CWE

Assigner

mitre mitre root

References

2 references

URL	Tags
https://github.com/LibRaw/LibRaw/issues/192	x_refsource_MISC
https://usn.ubuntu.com/3989-1/	vendor-advisoryx_refsource_UBUNTU

Date Public

2018-12-21 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.