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CVE-2023-36328 (GCVE-0-2023-36328)

Vulnerability from cvelistv5 – Published: 2023-09-01 00:00 – Updated: 2025-06-26 13:55
VLAI
Summary
Integer Overflow vulnerability in mp_grow in libtom libtommath before commit beba892bc0d4e4ded4d667ab1d2a94f4d75109a9, allows attackers to execute arbitrary code and cause a denial of service (DoS).
SSVC
Exploitation: none Automatable: yes Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2024-03-07 20:44 UTC
CWE
  • n/a
Show details on NVD website

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      "cveMetadata": "{\"cveId\": \"CVE-2023-36328\", \"state\": \"PUBLISHED\", \"dateUpdated\": \"2025-06-26T13:55:14.341Z\", \"dateReserved\": \"2023-06-21T00:00:00.000Z\", \"assignerOrgId\": \"8254265b-2729-46b6-b9e3-3dfca2d5bfca\", \"datePublished\": \"2023-09-01T00:00:00.000Z\", \"assignerShortName\": \"mitre\"}",
      "dataType": "CVE_RECORD",
      "dataVersion": "5.1"
    }
  }
}



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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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