CVE-2022-3597 (GCVE-0-2022-3597)

Vulnerability from cvelistv5 – Published: 2022-10-21 00:00 – Updated: 2025-05-07 20:49
VLAI
Summary
LibTIFF 4.4.0 has an out-of-bounds write in _TIFFmemcpy in libtiff/tif_unix.c:346 when called from extractImageSection, tools/tiffcrop.c:6826, allowing attackers to cause a denial-of-service via a crafted tiff file. For users that compile libtiff from sources, the fix is available with commit 236b7191.
SSVC
Exploitation: poc Automatable: no Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2025-05-07 20:48 UTC
CWE
  • Out-of-bounds read in libtiff
  • CWE-787 - Out-of-bounds Write
Impacted products
Vendor Product Version CPE status
libtiff libtiff Affected: <=4.4.0
guessed Create a notification for this product.
Show details on NVD website

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      "product_status:known_affected": "11",
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      "source": "Red Hat CSAF VEX",
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      "title": "libtiff: out-of-bounds write in _TIFFmemcpy in libtiff/tif_unix",
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      "url": "https://ftp.suse.com/pub/projects/security/csaf-vex/cve-2022-3597.json",
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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

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.

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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.


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