Vulnerability-Lookup

CNVD-2022-64486

Vulnerability from cnvd - Published: 2022-09-23

Title

LibTIFF ChopUpSingleUncompressedStrip函数拒绝服务漏洞

Description

Libtiff是一个用于读取和写入标记图像文件格式（缩写为TIFF）文件的库。 LibTIFF ChopUpSingleUncompressedStrip函数存在拒绝服务漏洞。远程攻击者可通过特制TIFF文件利用该漏洞导致拒绝服务。

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-2018-16335

Impacted products

Name
Libtiff LibTiff 4.0.9

Show details on source website

JSON

To clipboard

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2018-16335"
    }
  },
  "description": "Libtiff\u662f\u4e00\u4e2a\u7528\u4e8e\u8bfb\u53d6\u548c\u5199\u5165\u6807\u8bb0\u56fe\u50cf\u6587\u4ef6\u683c\u5f0f\uff08\u7f29\u5199\u4e3aTIFF\uff09\u6587\u4ef6\u7684\u5e93\u3002\n\nLibTIFF ChopUpSingleUncompressedStrip\u51fd\u6570\u5b58\u5728\u62d2\u7edd\u670d\u52a1\u6f0f\u6d1e\u3002\u8fdc\u7a0b\u653b\u51fb\u8005\u53ef\u901a\u8fc7\u7279\u5236TIFF\u6587\u4ef6\u5229\u7528\u8be5\u6f0f\u6d1e\u5bfc\u81f4\u62d2\u7edd\u670d\u52a1\u3002",
  "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-2022-64486",
  "openTime": "2022-09-23",
  "products": {
    "product": "Libtiff LibTiff 4.0.9"
  },
  "referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2018-16335",
  "serverity": "\u4e2d",
  "submitTime": "2018-09-03",
  "title": "LibTIFF ChopUpSingleUncompressedStrip\u51fd\u6570\u62d2\u7edd\u670d\u52a1\u6f0f\u6d1e"
}

CVE-2018-16335 (GCVE-0-2018-16335)

Vulnerability from cvelistv5 – Published: 2018-09-02 03:00 – Updated: 2024-08-05 10:24

Summary

newoffsets handling in ChopUpSingleUncompressedStrip in tif_dirread.c in LibTIFF 4.0.9 allows remote attackers to cause a denial of service (heap-based buffer overflow and application crash) or possibly have unspecified other impact via a crafted TIFF file, as demonstrated by tiff2pdf. This is a different vulnerability than CVE-2018-15209.

Severity

No CVSS data available.

CWE

Assigner

mitre mitre root

References

2 references

URL	Tags
https://www.debian.org/security/2018/dsa-4349	vendor-advisoryx_refsource_DEBIAN
http://bugzilla.maptools.org/show_bug.cgi?id=2809	x_refsource_MISC

Date Public

2018-09-01 00:00

Show details on NVD website

JSON

To clipboard

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          },
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            "url": "http://bugzilla.maptools.org/show_bug.cgi?id=2809"
          }
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        },
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          "tags": [
            "x_refsource_MISC"
          ],
          "url": "http://bugzilla.maptools.org/show_bug.cgi?id=2809"
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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.