GHSA-GR52-M656-XVFR

Vulnerability from github – Published: 2022-05-17 02:07 – Updated: 2022-05-17 02:07
VLAI
Details

The npb_protocol_error function in sna V5router64 in IBM Communications Server for Windows 6.1.3 and Communications Server for AIX (aka CSAIX or CS/AIX) in sna.rte before 6.3.1.2 allows remote attackers to cause a denial of service (daemon crash) via APPC data containing a GDSID variable with a GDS length that is too small.

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{
  "affected": [],
  "aliases": [
    "CVE-2010-2090"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-20"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2010-05-27T19:30:00Z",
    "severity": "MODERATE"
  },
  "details": "The npb_protocol_error function in sna V5router64 in IBM Communications Server for Windows 6.1.3 and Communications Server for AIX (aka CSAIX or CS/AIX) in sna.rte before 6.3.1.2 allows remote attackers to cause a denial of service (daemon crash) via APPC data containing a GDSID variable with a GDS length that is too small.",
  "id": "GHSA-gr52-m656-xvfr",
  "modified": "2022-05-17T02:07:36Z",
  "published": "2022-05-17T02:07:36Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2010-2090"
    },
    {
      "type": "WEB",
      "url": "https://exchange.xforce.ibmcloud.com/vulnerabilities/58874"
    },
    {
      "type": "WEB",
      "url": "http://secunia.com/advisories/39909"
    },
    {
      "type": "WEB",
      "url": "http://www-01.ibm.com/support/docview.wss?uid=swg1IZ68810"
    },
    {
      "type": "WEB",
      "url": "http://www-01.ibm.com/support/docview.wss?uid=swg1JR36026"
    },
    {
      "type": "WEB",
      "url": "http://www-01.ibm.com/support/docview.wss?uid=swg24013012"
    },
    {
      "type": "WEB",
      "url": "http://www.securityfocus.com/bid/40372"
    },
    {
      "type": "WEB",
      "url": "http://www.vupen.com/english/advisories/2010/1244"
    }
  ],
  "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.

Sightings

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Nomenclature

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