GHSA-XF2C-FFQ9-V9QR

Vulnerability from github – Published: 2022-05-24 17:04 – Updated: 2022-05-24 17:04
VLAI
Details

On versions 15.0.0-15.0.1.1, 14.0.0-14.1.2.2, 13.1.0-13.1.3.1, 12.1.0-12.1.5, and 11.5.2-11.6.5.1, the BIG-IP ASM system may consume excessive resources when processing certain types of HTTP responses from the origin web server. This vulnerability is only known to affect resource-constrained systems in which the security policy is configured with response-side features, such as Data Guard or response-side learning.

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{
  "affected": [],
  "aliases": [
    "CVE-2019-6682"
  ],
  "database_specific": {
    "cwe_ids": [],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2019-12-23T17:15:00Z",
    "severity": "MODERATE"
  },
  "details": "On versions 15.0.0-15.0.1.1, 14.0.0-14.1.2.2, 13.1.0-13.1.3.1, 12.1.0-12.1.5, and 11.5.2-11.6.5.1, the BIG-IP ASM system may consume excessive resources when processing certain types of HTTP responses from the origin web server. This vulnerability is only known to affect resource-constrained systems in which the security policy is configured with response-side features, such as Data Guard or response-side learning.",
  "id": "GHSA-xf2c-ffq9-v9qr",
  "modified": "2022-05-24T17:04:57Z",
  "published": "2022-05-24T17:04:57Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2019-6682"
    },
    {
      "type": "WEB",
      "url": "https://support.f5.com/csp/article/K40452417"
    }
  ],
  "schema_version": "1.4.0",
  "severity": []
}



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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.

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Nomenclature

  • Seen: The vulnerability was mentioned, discussed, or observed by the user.
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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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