Vulnerability-Lookup

CNVD-2017-09593

Vulnerability from cnvd - Published: 2017-06-14

Title

pngquant整数溢出漏洞

Description

pngquant是一个用于PNG图像有损压缩的库，它通过将普通图片的格式转换为8位PNG格式以减少图片大小。 pngquant 2.7.0版本中的rwpng.c文件的‘rwpng_read_image24_libpng’函数存在整数溢出漏洞。远程攻击者可利用该漏洞造成缓冲区溢出。

Severity

中

Patch Name

pngquant整数溢出漏洞的补丁

Patch Description

pngquant是一个用于PNG图像有损压缩的库，它通过将普通图片的格式转换为8位PNG格式以减少图片大小。 pngquant 2.7.0版本中的rwpng.c文件的‘rwpng_read_image24_libpng’函数存在整数溢出漏洞。远程攻击者可利用该漏洞造成缓冲区溢出。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

用户可参考如下厂商提供的安全补丁以修复该漏洞： https://github.com/pornel/pngquant/commit/b7c217680cda02dddced245d237ebe8c383be285

Reference

http://sf.snu.ac.kr/gil.hur/publications/shovel.pdf https://nvd.nist.gov/vuln/detail/CVE-2016-5735

Impacted products

Name
pngquant pngquant 2.7.0

Show details on source website

JSON

To clipboard

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2016-5735"
    }
  },
  "description": "pngquant\u662f\u4e00\u4e2a\u7528\u4e8ePNG\u56fe\u50cf\u6709\u635f\u538b\u7f29\u7684\u5e93\uff0c\u5b83\u901a\u8fc7\u5c06\u666e\u901a\u56fe\u7247\u7684\u683c\u5f0f\u8f6c\u6362\u4e3a8\u4f4dPNG\u683c\u5f0f\u4ee5\u51cf\u5c11\u56fe\u7247\u5927\u5c0f\u3002\r\n\r\npngquant 2.7.0\u7248\u672c\u4e2d\u7684rwpng.c\u6587\u4ef6\u7684\u2018rwpng_read_image24_libpng\u2019\u51fd\u6570\u5b58\u5728\u6574\u6570\u6ea2\u51fa\u6f0f\u6d1e\u3002\u8fdc\u7a0b\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u9020\u6210\u7f13\u51b2\u533a\u6ea2\u51fa\u3002",
  "discovererName": "Choi Jaeseung",
  "formalWay": "\u7528\u6237\u53ef\u53c2\u8003\u5982\u4e0b\u5382\u5546\u63d0\u4f9b\u7684\u5b89\u5168\u8865\u4e01\u4ee5\u4fee\u590d\u8be5\u6f0f\u6d1e\uff1a\r\nhttps://github.com/pornel/pngquant/commit/b7c217680cda02dddced245d237ebe8c383be285",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2017-09593",
  "openTime": "2017-06-14",
  "patchDescription": "pngquant\u662f\u4e00\u4e2a\u7528\u4e8ePNG\u56fe\u50cf\u6709\u635f\u538b\u7f29\u7684\u5e93\uff0c\u5b83\u901a\u8fc7\u5c06\u666e\u901a\u56fe\u7247\u7684\u683c\u5f0f\u8f6c\u6362\u4e3a8\u4f4dPNG\u683c\u5f0f\u4ee5\u51cf\u5c11\u56fe\u7247\u5927\u5c0f\u3002\r\n\r\npngquant 2.7.0\u7248\u672c\u4e2d\u7684rwpng.c\u6587\u4ef6\u7684\u2018rwpng_read_image24_libpng\u2019\u51fd\u6570\u5b58\u5728\u6574\u6570\u6ea2\u51fa\u6f0f\u6d1e\u3002\u8fdc\u7a0b\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u9020\u6210\u7f13\u51b2\u533a\u6ea2\u51fa\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": "pngquant\u6574\u6570\u6ea2\u51fa\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": "pngquant pngquant 2.7.0"
  },
  "referenceLink": "http://sf.snu.ac.kr/gil.hur/publications/shovel.pdf\r\nhttps://nvd.nist.gov/vuln/detail/CVE-2016-5735",
  "serverity": "\u4e2d",
  "submitTime": "2017-05-25",
  "title": "pngquant\u6574\u6570\u6ea2\u51fa\u6f0f\u6d1e"
}

CVE-2016-5735 (GCVE-0-2016-5735)

Vulnerability from cvelistv5 – Published: 2017-05-23 03:56 – Updated: 2024-08-06 01:07

Summary

Integer overflow in the rwpng_read_image24_libpng function in rwpng.c in pngquant 2.7.0 allows remote attackers to have unspecified impact via a crafted PNG file, which triggers a buffer overflow.

Severity

No CVSS data available.

CWE

Assigner

mitre mitre root

References

3 references

URL	Tags
http://sf.snu.ac.kr/gil.hur/publications/shovel.pdf	x_refsource_MISC
https://github.com/pornel/pngquant/commit/b7c2176…	x_refsource_CONFIRM
https://lists.debian.org/debian-lts-announce/2020…	mailing-listx_refsource_MLIST

Date Public

2016-06-23 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.