CVE-2018-11727 (GCVE-0-2018-11727)

Vulnerability from cvelistv5 – Published: 2018-06-19 21:00 – Updated: 2024-08-05 08:17 Disputed
VLAI
Summary
The libfsntfs_attribute_read_from_mft function in libfsntfs_attribute.c in libfsntfs through 2018-04-20 allows remote attackers to cause an information disclosure (heap-based buffer over-read) via a crafted ntfs file. NOTE: the vendor has disputed this as described in libyal/libfsntfs issue 8 on GitHub
SSVC
Exploitation: none Automatable: no Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2024-04-22 18:41 UTC
CWE
  • n/a
  • CWE-125 - Out-of-bounds Read
  • CWE-200 - Exposure of Sensitive Information to an Unauthorized Actor
References
Impacted products
Vendor Product Version CPE status
libfsntfs_project libfsntfs Affected: *
    cpe:2.3:a:libfsntfs_project:libfsntfs:*:*:*:*:*:*:*:*
Create a notification for this product.
Date Public
2018-06-08 00:00
Show details on NVD website

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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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