GCVE Workshop - 22 September 2026 (14:00-18:00), Luxembourg Before The Vulnopticon Conference - Registration

CNVD-2019-05078

Vulnerability from cnvd - Published: 2019-02-24
VLAI
Title
LibRaw 'raw2image'函数空指针逆向引用漏洞
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libraw_cxx.cpp文件的'raw2image'函数存在空指针逆向引用漏洞。攻击者可利用该漏洞造成拒绝服务(崩溃)。
Severity
Formal description

厂商尚未提供漏洞修复方案,请关注厂商主页更新: https://github.com/LibRaw/LibRaw

Reference
https://nvd.nist.gov/vuln/detail/CVE-2018-20363
Impacted products
Name
LibRaw LibRaw 0.19.1
Show details on source website

{
  "bids": {
    "bid": {
      "bidNumber": "106299"
    }
  },
  "cves": {
    "cve": {
      "cveNumber": "CVE-2018-20363"
    }
  },
  "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\u7684libraw_cxx.cpp\u6587\u4ef6\u7684\u0027raw2image\u0027\u51fd\u6570\u5b58\u5728\u7a7a\u6307\u9488\u9006\u5411\u5f15\u7528\u6f0f\u6d1e\u3002\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u9020\u6210\u62d2\u7edd\u670d\u52a1\uff08\u5d29\u6e83\uff09\u3002",
  "discovererName": "LibRaw",
  "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://github.com/LibRaw/LibRaw",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2019-05078",
  "openTime": "2019-02-24",
  "products": {
    "product": "LibRaw LibRaw 0.19.1"
  },
  "referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2018-20363",
  "serverity": "\u4e2d",
  "submitTime": "2018-12-24",
  "title": "LibRaw \u0027raw2image\u0027\u51fd\u6570\u7a7a\u6307\u9488\u9006\u5411\u5f15\u7528\u6f0f\u6d1e"
}



Log in or create an account to share your comment.




Tags
Taxonomy of the tags.


Loading…

Loading…

Loading…

Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.

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.

Loading…

Detection rules are retrieved from Rulezet.

Loading…

Loading…

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.


Loading…