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CVE-2020-8338 (GCVE-0-2020-8338)

Vulnerability from cvelistv5 – Published: 2020-10-14 21:25 – Updated: 2024-08-04 09:56
VLAI
Summary
A DLL search path vulnerability was reported in Lenovo Diagnostics prior to version 4.35.4 that could allow a user with local access to execute code on the system.
CWE
References
Impacted products
Vendor Product Version CPE status
Lenovo Diagnostics Affected: unspecified , < 4.35.4 (custom)
guessed Create a notification for this product.
Show details on NVD website

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    "redhat_vex": {
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      "cve": "CVE-2020-8338",
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      "initial_release_date": "2020-01-01T00:00:00+00:00",
      "product_status:known_not_affected": "1",
      "source": "Red Hat CSAF VEX",
      "status": "final",
      "title": "CVE-2020-8338",
      "url": "https://security.access.redhat.com/data/csaf/v2/vex/2020/cve-2020-8338.json",
      "version": "3"
    }
  }
}



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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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Detection rules are retrieved from Rulezet.

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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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