Vulnerability-Lookup

CNVD-2017-07752

Vulnerability from cnvd - Published: 2017-05-31

Title

Silicon Graphics LibTIFF堆缓冲区溢出漏洞（CNVD-2017-07752）

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 4.0.7版本中的bmp2tiff存在堆缓冲区溢出漏洞，该漏洞源于程序为呢验证bitmap-information包头中的biWidth和biHeight是否与真实输入匹配。攻击者可利用该漏洞造成堆缓冲区越边界读取。

Severity

高

Formal description

目前厂商暂未发布修复措施解决此安全问题，建议使用此软件的用户随时关注厂商主页或参考网址以获取解决办法： http://www.libtiff.org/

Reference

http://bugzilla.maptools.org/show_bug.cgi?id=2690

Impacted products

Name
Silicon Graphics, Inc. LibTiff 4.0.7

Show details on source website

JSON

To clipboard

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2017-9117"
    }
  },
  "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 4.0.7\u7248\u672c\u4e2d\u7684bmp2tiff\u5b58\u5728\u5806\u7f13\u51b2\u533a\u6ea2\u51fa\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u7a0b\u5e8f\u4e3a\u5462\u9a8c\u8bc1bitmap-information\u5305\u5934\u4e2d\u7684biWidth\u548cbiHeight\u662f\u5426\u4e0e\u771f\u5b9e\u8f93\u5165\u5339\u914d\u3002\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u9020\u6210\u5806\u7f13\u51b2\u533a\u8d8a\u8fb9\u754c\u8bfb\u53d6\u3002",
  "discovererName": "Silicon Graphics, Inc.",
  "formalWay": "\u76ee\u524d\u5382\u5546\u6682\u672a\u53d1\u5e03\u4fee\u590d\u63aa\u65bd\u89e3\u51b3\u6b64\u5b89\u5168\u95ee\u9898\uff0c\u5efa\u8bae\u4f7f\u7528\u6b64\u8f6f\u4ef6\u7684\u7528\u6237\u968f\u65f6\u5173\u6ce8\u5382\u5546\u4e3b\u9875\u6216\u53c2\u8003\u7f51\u5740\u4ee5\u83b7\u53d6\u89e3\u51b3\u529e\u6cd5\uff1a\r\nhttp://www.libtiff.org/",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2017-07752",
  "openTime": "2017-05-31",
  "products": {
    "product": "Silicon Graphics, Inc. LibTiff 4.0.7"
  },
  "referenceLink": "http://bugzilla.maptools.org/show_bug.cgi?id=2690",
  "serverity": "\u9ad8",
  "submitTime": "2017-05-23",
  "title": "Silicon Graphics LibTIFF\u5806\u7f13\u51b2\u533a\u6ea2\u51fa\u6f0f\u6d1e\uff08CNVD-2017-07752\uff09"
}

CVE-2017-9117 (GCVE-0-2017-9117)

Vulnerability from cvelistv5 – Published: 2017-05-21 19:00 – Updated: 2025-01-07 23:52

Summary

In LibTIFF 4.0.6 and possibly other versions, the program processes BMP images without verifying that biWidth and biHeight in the bitmap-information header match the actual input, as demonstrated by a heap-based buffer over-read in bmp2tiff. NOTE: mentioning bmp2tiff does not imply that the activation point is in the bmp2tiff.c file (which was removed before the 4.0.7 release).

Severity

4 (Medium)


                        
                          CVSS:3.1/AV:L/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:L

CWE

CWE-125 - Out-of-bounds Read

Assigner

mitre mitre root

References

4 references

URL	Tags
https://usn.ubuntu.com/3606-1/	vendor-advisory
http://www.securityfocus.com/bid/98581	vdb-entry
http://bugzilla.maptools.org/show_bug.cgi?id=2690
https://gitlab.com/libtiff/libtiff/-/issues/89

Impacted products

1 product

Vendor	Product	Version
LibTIFF	LibTIFF	Affected: 4.0.6 (semver) cpe:2.3:a:libtiff:libtiff::::::::

Date Public

2017-05-21 04:00

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.