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CVE-2023-27383 (GCVE-0-2023-27383)

Vulnerability from cvelistv5 – Published: 2023-11-14 19:05 – Updated: 2024-08-02 12:09
VLAI
Summary
Protection mechanism failure in some Intel(R) oneAPI HPC Toolkit 2023.1 and Intel(R)MPI Library software before version 2021.9 may allow a privileged user to potentially enable escalation of privilege via adjacent access.
Severity
6.8 (Medium)
CVSS:3.1/AV:A/AC:L/PR:H/UI:N/S:U/C:H/I:H/A:H
CWE
  • escalation of privilege
  • CWE-693 - Protection mechanism failure
Assigner
References
Impacted products
Vendor Product Version CPE status
n/a Intel(R) oneAPI HPC Toolkit 2023.1 and Intel(R)MPI Library software Affected: before version 2021.9
Show details on NVD website
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      "cve": "CVE-2023-27383",
      "id": "CVE-2023-27383",
      "initial_release_date": "2023-01-01T00:00:00+00:00",
      "product_status:known_not_affected": "1",
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      "status": "final",
      "title": "CVE-2023-27383",
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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.