GHSA-872V-39HW-4FR3

Vulnerability from github – Published: 2022-05-24 17:02 – Updated: 2022-05-24 17:02
VLAI
Details

The asn1_signature function in asn1.c in Cameron Hamilton-Rich axTLS through 2.1.5 has a Buffer Overflow that allows remote attackers to cause a denial of service (memory and CPU consumption) via a crafted certificate in the TLS certificate handshake message, because the result of get_asn1_length() is not checked for a minimum or maximum size.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2019-10013"
  ],
  "database_specific": {
    "cwe_ids": [],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2019-12-03T20:15:00Z",
    "severity": "HIGH"
  },
  "details": "The asn1_signature function in asn1.c in Cameron Hamilton-Rich axTLS through 2.1.5 has a Buffer Overflow that allows remote attackers to cause a denial of service (memory and CPU consumption) via a crafted certificate in the TLS certificate handshake message, because the result of get_asn1_length() is not checked for a minimum or maximum size.",
  "id": "GHSA-872v-39hw-4fr3",
  "modified": "2022-05-24T17:02:32Z",
  "published": "2022-05-24T17:02:32Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2019-10013"
    },
    {
      "type": "WEB",
      "url": "https://seclists.org/bugtraq/2019/Nov/44"
    },
    {
      "type": "WEB",
      "url": "https://www.telekom.com/en/corporate-responsibility/data-protection-data-security/security/details/advisories-504842"
    },
    {
      "type": "WEB",
      "url": "https://www.telekom.com/resource/blob/586416/12097aeb8f9a6bba89a804b94575521a/dl-191121-critical-remote-denial-of-service-vulnerability-i--data.pdf"
    },
    {
      "type": "WEB",
      "url": "http://axtls.sourceforge.net"
    },
    {
      "type": "WEB",
      "url": "http://packetstormsecurity.com/files/155500/axTLS-2.1.5-Denial-Of-Service.html"
    }
  ],
  "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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