GSD-2022-29035

Vulnerability from gsd - Updated: 2023-12-13 01:19
Details
In JetBrains Ktor Native before version 2.0.0 random values used for nonce generation weren't using SecureRandom implementations
Aliases
Aliases
CVE-2022-29035
To clipboard 

{
  "GSD": {
    "alias": "CVE-2022-29035",
    "description": "In JetBrains Ktor Native before version 2.0.0 random values used for nonce generation weren\u0027t using SecureRandom implementations",
    "id": "GSD-2022-29035"
  },
  "gsd": {
    "metadata": {
      "exploitCode": "unknown",
      "remediation": "unknown",
      "reportConfidence": "confirmed",
      "type": "vulnerability"
    },
    "osvSchema": {
      "aliases": [
        "CVE-2022-29035"
      ],
      "details": "In JetBrains Ktor Native before version 2.0.0 random values used for nonce generation weren\u0027t using SecureRandom implementations",
      "id": "GSD-2022-29035",
      "modified": "2023-12-13T01:19:42.367827Z",
      "schema_version": "1.4.0"
    }
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                          "version_affected": "\u003c",
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                "value": "CWE-330: Use of Insufficiently Random Values"
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      },
      "lastModifiedDate": "2022-04-15T17:46Z",
      "publishedDate": "2022-04-11T19:15Z"
    }
  }
}



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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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  • Confirmed: The vulnerability has been validated from an analyst's perspective.
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  • Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.



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