Vulnerability-Lookup

CNVD-2018-10254

Vulnerability from cnvd - Published: 2018-05-24

Title

LibTIFF堆缓冲区越边界读取漏洞

Description

Silicon Graphics LibTIFF是美国Silicon Graphics公司的一个读写TIFF（标签图像文件格式）文件的库。该库包含一些处理TIFF文件的命令行工具。 Silicon Graphics LibTIFF 3.8.2版本中的tif_write.c文件的‘TIFFWriteScanline’函数存在堆缓冲区越边界读取漏洞。攻击者可利用该漏洞造成拒绝服务（崩溃）。

Severity

中

Formal description

厂商尚未提供漏洞修复方案，请关注厂商主页更新： http://www.libtiff.org/

Reference

https://nvd.nist.gov/vuln/detail/CVE-2018-10779 http://www.securityfocus.com/bid/104089

Impacted products

Name
libtiff LibTIFF 3.8.2

Show details on source website

JSON

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{
  "bids": {
    "bid": {
      "bidNumber": "104089"
    }
  },
  "cves": {
    "cve": {
      "cveNumber": "CVE-2018-10779"
    }
  },
  "description": "Silicon Graphics LibTIFF\u662f\u7f8e\u56fdSilicon Graphics\u516c\u53f8\u7684\u4e00\u4e2a\u8bfb\u5199TIFF\uff08\u6807\u7b7e\u56fe\u50cf\u6587\u4ef6\u683c\u5f0f\uff09\u6587\u4ef6\u7684\u5e93\u3002\u8be5\u5e93\u5305\u542b\u4e00\u4e9b\u5904\u7406TIFF\u6587\u4ef6\u7684\u547d\u4ee4\u884c\u5de5\u5177\u3002\r\n\r\nSilicon Graphics LibTIFF 3.8.2\u7248\u672c\u4e2d\u7684tif_write.c\u6587\u4ef6\u7684\u2018TIFFWriteScanline\u2019\u51fd\u6570\u5b58\u5728\u5806\u7f13\u51b2\u533a\u8d8a\u8fb9\u754c\u8bfb\u53d6\u6f0f\u6d1e\u3002\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u9020\u6210\u62d2\u7edd\u670d\u52a1\uff08\u5d29\u6e83\uff09\u3002",
  "discovererName": "NESA Lab(nesa.zju.edu.cn)",
  "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\nhttp://www.libtiff.org/",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2018-10254",
  "openTime": "2018-05-24",
  "products": {
    "product": "libtiff LibTIFF 3.8.2"
  },
  "referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2018-10779\r\nhttp://www.securityfocus.com/bid/104089",
  "serverity": "\u4e2d",
  "submitTime": "2018-05-07",
  "title": "LibTIFF\u5806\u7f13\u51b2\u533a\u8d8a\u8fb9\u754c\u8bfb\u53d6\u6f0f\u6d1e"
}

CVE-2018-10779 (GCVE-0-2018-10779)

Vulnerability from cvelistv5 – Published: 2018-05-07 07:00 – Updated: 2024-08-05 07:46

Summary

TIFFWriteScanline in tif_write.c in LibTIFF 3.8.2 has a heap-based buffer over-read, as demonstrated by bmp2tiff.

Severity

No CVSS data available.

CWE

Assigner

mitre mitre root

References

5 references

URL	Tags
http://www.securityfocus.com/bid/104089	vdb-entryx_refsource_BID
http://bugzilla.maptools.org/show_bug.cgi?id=2788	x_refsource_MISC
https://usn.ubuntu.com/3906-1/	vendor-advisoryx_refsource_UBUNTU
https://usn.ubuntu.com/3906-2/	vendor-advisoryx_refsource_UBUNTU
https://access.redhat.com/errata/RHSA-2019:2053	vendor-advisoryx_refsource_REDHAT

Date Public

2018-05-07 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.