Vulnerability-Lookup

CNVD-2017-05970

Vulnerability from cnvd - Published: 2017-05-05

Title

Dropbox Lepton拒绝服务漏洞

Description

Dropbox Lepton是一套无损压缩JPEG格式文件的工具。 Dropbox Lepton 1.2.1版本中的uncompressed_components.hh文件的allocate_channel_framebuffer函数存在安全漏洞。远程攻击者可借助畸形的JPEG图像利用该漏洞造成拒绝服务（除零错误和应用程序崩溃）。

Severity

中

Patch Name

Dropbox Lepton拒绝服务漏洞的补丁

Patch Description

Formal description

目前厂商已经发布了升级补丁以修复此安全问题，补丁获取链接： https://github.com/dropbox/lepton/commit/7789d99ac156adfd7bbf66e7824bd3e948a74cf7

Reference

http://www.securityfocus.com/bid/97490

Impacted products

Name
Dropbox Lepton 1.2.1

Show details on source website

JSON

To clipboard

{
  "bids": {
    "bid": {
      "bidNumber": "97490"
    }
  },
  "cves": {
    "cve": {
      "cveNumber": "CVE-2017-7448",
      "cveUrl": "http://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2017-7448"
    }
  },
  "description": "Dropbox Lepton\u662f\u4e00\u5957\u65e0\u635f\u538b\u7f29JPEG\u683c\u5f0f\u6587\u4ef6\u7684\u5de5\u5177\u3002\r\n\r\nDropbox Lepton 1.2.1\u7248\u672c\u4e2d\u7684uncompressed_components.hh\u6587\u4ef6\u7684allocate_channel_framebuffer\u51fd\u6570\u5b58\u5728\u5b89\u5168\u6f0f\u6d1e\u3002\u8fdc\u7a0b\u653b\u51fb\u8005\u53ef\u501f\u52a9\u7578\u5f62\u7684JPEG\u56fe\u50cf\u5229\u7528\u8be5\u6f0f\u6d1e\u9020\u6210\u62d2\u7edd\u670d\u52a1\uff08\u9664\u96f6\u9519\u8bef\u548c\u5e94\u7528\u7a0b\u5e8f\u5d29\u6e83\uff09\u3002",
  "discovererName": "chunibalon",
  "formalWay": "\u76ee\u524d\u5382\u5546\u5df2\u7ecf\u53d1\u5e03\u4e86\u5347\u7ea7\u8865\u4e01\u4ee5\u4fee\u590d\u6b64\u5b89\u5168\u95ee\u9898\uff0c\u8865\u4e01\u83b7\u53d6\u94fe\u63a5\uff1a\r\nhttps://github.com/dropbox/lepton/commit/7789d99ac156adfd7bbf66e7824bd3e948a74cf7",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2017-05970",
  "openTime": "2017-05-05",
  "patchDescription": "Dropbox Lepton\u662f\u4e00\u5957\u65e0\u635f\u538b\u7f29JPEG\u683c\u5f0f\u6587\u4ef6\u7684\u5de5\u5177\u3002\r\n\r\nDropbox Lepton 1.2.1\u7248\u672c\u4e2d\u7684uncompressed_components.hh\u6587\u4ef6\u7684allocate_channel_framebuffer\u51fd\u6570\u5b58\u5728\u5b89\u5168\u6f0f\u6d1e\u3002\u8fdc\u7a0b\u653b\u51fb\u8005\u53ef\u501f\u52a9\u7578\u5f62\u7684JPEG\u56fe\u50cf\u5229\u7528\u8be5\u6f0f\u6d1e\u9020\u6210\u62d2\u7edd\u670d\u52a1\uff08\u9664\u96f6\u9519\u8bef\u548c\u5e94\u7528\u7a0b\u5e8f\u5d29\u6e83\uff09\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": "Dropbox Lepton\u62d2\u7edd\u670d\u52a1\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": "Dropbox Lepton 1.2.1"
  },
  "referenceLink": "http://www.securityfocus.com/bid/97490",
  "serverity": "\u4e2d",
  "submitTime": "2017-04-18",
  "title": "Dropbox Lepton\u62d2\u7edd\u670d\u52a1\u6f0f\u6d1e"
}

CVE-2017-7448 (GCVE-0-2017-7448)

Vulnerability from cvelistv5 – Published: 2017-04-05 23:00 – Updated: 2024-08-05 16:04

Summary

The allocate_channel_framebuffer function in uncompressed_components.hh in Dropbox Lepton 1.2.1 allows remote attackers to cause a denial of service (divide-by-zero error and application crash) via a malformed JPEG image.

Severity

No CVSS data available.

CWE

Assigner

mitre mitre root

References

3 references

URL	Tags
http://www.securityfocus.com/bid/97490	vdb-entryx_refsource_BID
https://github.com/dropbox/lepton/commit/7789d99a…	x_refsource_CONFIRM
https://github.com/dropbox/lepton/issues/86	x_refsource_CONFIRM

Date Public

2017-04-05 00:00

Show details on NVD website

JSON

To clipboard

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        "dateUpdated": "2017-04-11T09:57:01.000Z",
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          "url": "https://github.com/dropbox/lepton/issues/86"
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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.