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CVE-2017-6890 (GCVE-0-2017-6890)

Vulnerability from cvelistv5 – Published: 2017-05-15 18:00 – Updated: 2024-08-05 15:41
VLAI
Summary
A boundary error within the "foveon_load_camf()" function (dcraw_foveon.c) when initializing a huffman table in LibRaw-demosaic-pack-GPL2 before 0.18.2 can be exploited to cause a stack-based buffer overflow.
Severity
9.8 (Critical)
CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H
CWE
  • Stack-based buffer overflow
Assigner
References
Impacted products
Vendor Product Version CPE status
LibRaw LibRaw-demosaic-pack-GPL2 Affected: 0.x prior to 0.18.2
guessed Create a notification for this product.
Date Public
2017-03-10 00:00
Show details on NVD website
To clipboard 

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      "cve": "CVE-2017-6890",
      "id": "CVE-2017-6890",
      "initial_release_date": "2023-02-15T04:48:39Z",
      "product_status:known_not_affected": "12",
      "product_status:recommended": "125",
      "source": "SUSE CSAF VEX",
      "status": "interim",
      "title": "SUSE CVE CVE-2017-6890",
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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.