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CVE-2022-34526 (GCVE-0-2022-34526)

Vulnerability from cvelistv5 – Published: 2022-07-29 00:00 – Updated: 2024-08-03 09:15
VLAI
Summary
A stack overflow was discovered in the _TIFFVGetField function of Tiffsplit v4.4.0. This vulnerability allows attackers to cause a Denial of Service (DoS) via a crafted TIFF file parsed by the "tiffsplit" or "tiffcrop" utilities.
Severity
6.5 (Medium)
CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:N/I:N/A:H
CWE
  • n/a
Assigner
References
Show details on NVD website
To clipboard 

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      "title": "libtiff: A stack overflow was discovered in the _TIFFVGetField function of Tiffsplit",
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      "cve": "CVE-2022-34526",
      "id": "CVE-2022-34526",
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      "product_status:recommended": "259",
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      "status": "interim",
      "title": "SUSE CVE CVE-2022-34526",
      "url": "https://ftp.suse.com/pub/projects/security/csaf-vex/cve-2022-34526.json",
      "version": "49"
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  }
}



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Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.

Sightings

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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.


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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.