Vulnerability-Lookup

CNVD-2016-11510

Vulnerability from cnvd - Published: 2016-11-25

Title

LibTIFFtif_predict.h/tif_predict.c缓冲区溢出漏洞

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。 libtiff 4.0.6版本在tif_predict.h/tif_predict.c中存在缓冲区溢出漏洞，攻击者可利用该漏洞导致调试模式中断言失败，或发布模式中缓冲区溢出。

Severity

高

Patch Name

LibTIFFtif_predict.h/tif_predict.c缓冲区溢出漏洞的补丁

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/vadz/libtiff/commit/3ca657a8793dd011bf869695d72ad31c779c3cc1

Reference

http://www.securityfocus.com/bid/94484 https://github.com/vadz/libtiff/commit/6a984bf7905c6621281588431f384e79d11a2e33

Impacted products

Name
Silicon Graphics, Inc. LibTiff 4.0.6

Show details on source website

JSON

To clipboard

{
  "bids": {
    "bid": {
      "bidNumber": "94744"
    }
  },
  "cves": {
    "cve": {
      "cveNumber": "CVE-2016-9535"
    }
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  "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\nlibtiff 4.0.6\u7248\u672c\u5728tif_predict.h/tif_predict.c\u4e2d\u5b58\u5728\u7f13\u51b2\u533a\u6ea2\u51fa\u6f0f\u6d1e\uff0c\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u5bfc\u81f4\u8c03\u8bd5\u6a21\u5f0f\u4e2d\u65ad\u8a00\u5931\u8d25\uff0c\u6216\u53d1\u5e03\u6a21\u5f0f\u4e2d\u7f13\u51b2\u533a\u6ea2\u51fa\u3002",
  "discovererName": "Axel Souchet, Vishal Chauhan and Suha Can from the MSRC.",
  "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/vadz/libtiff/commit/3ca657a8793dd011bf869695d72ad31c779c3cc1",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2016-11510",
  "openTime": "2016-11-25",
  "patchDescription": "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\nlibtiff 4.0.6\u7248\u672c\u5728tif_predict.h/tif_predict.c\u4e2d\u5b58\u5728\u7f13\u51b2\u533a\u6ea2\u51fa\u6f0f\u6d1e\uff0c\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u5bfc\u81f4\u8c03\u8bd5\u6a21\u5f0f\u4e2d\u65ad\u8a00\u5931\u8d25\uff0c\u6216\u53d1\u5e03\u6a21\u5f0f\u4e2d\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": "LibTIFFtif_predict.h/tif_predict.c\u7f13\u51b2\u533a\u6ea2\u51fa\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": "Silicon Graphics, Inc. LibTiff 4.0.6"
  },
  "referenceLink": "http://www.securityfocus.com/bid/94484\r\nhttps://github.com/vadz/libtiff/commit/6a984bf7905c6621281588431f384e79d11a2e33",
  "serverity": "\u9ad8",
  "submitTime": "2016-11-23",
  "title": "LibTIFFtif_predict.h/tif_predict.c\u7f13\u51b2\u533a\u6ea2\u51fa\u6f0f\u6d1e"
}

CVE-2016-9535 (GCVE-0-2016-9535)

Vulnerability from cvelistv5 – Published: 2016-11-22 19:00 – Updated: 2026-05-29 20:24

Summary

tif_predict.h and tif_predict.c in libtiff 4.0.6 have assertions that can lead to assertion failures in debug mode, or buffer overflows in release mode, when dealing with unusual tile size like YCbCr with subsampling. Reported as MSVR 35105, aka "Predictor heap-buffer-overflow."

Severity

9.8 (Critical)


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

SSVC

Exploitation: none Automatable: yes Technical Impact: total

CISA Coordinator · CISA-ADP (v2.0.3)

Decision recorded 2026-05-29 20:24 UTC

CWE

n/a
CWE-119 - Improper Restriction of Operations within the Bounds of a Memory Buffer

Assigner

mitre mitre root

References

6 references

URL	Tags
http://www.debian.org/security/2017/dsa-3844	vendor-advisoryx_refsource_DEBIAN
https://github.com/vadz/libtiff/commit/3ca657a879…	x_refsource_CONFIRM
https://github.com/vadz/libtiff/commit/6a984bf790…	x_refsource_CONFIRM
http://rhn.redhat.com/errata/RHSA-2017-0225.html	vendor-advisoryx_refsource_REDHAT
http://www.securityfocus.com/bid/94744	vdb-entryx_refsource_BID
http://www.securityfocus.com/bid/94484	vdb-entryx_refsource_BID

Date Public

2016-11-22 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.