GHSA-R9J9-VW7Q-2W2H

Vulnerability from github – Published: 2022-04-30 18:20 – Updated: 2022-04-30 18:20
VLAI
Details

IBM Web Traffic Express Caching Proxy Server 3.6 and 4.x before 4.0.1.26 allows remote attackers to cause a denial of service (crash) via an HTTP request to helpout.exe with a missing HTTP version number, which causes ibmproxy.exe to crash.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2002-1169"
  ],
  "database_specific": {
    "cwe_ids": [],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2002-11-04T05:00:00Z",
    "severity": "MODERATE"
  },
  "details": "IBM Web Traffic Express Caching Proxy Server 3.6 and 4.x before 4.0.1.26 allows remote attackers to cause a denial of service (crash) via an HTTP request to helpout.exe with a missing HTTP version number, which causes ibmproxy.exe to crash.",
  "id": "GHSA-r9j9-vw7q-2w2h",
  "modified": "2022-04-30T18:20:41Z",
  "published": "2022-04-30T18:20:41Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2002-1169"
    },
    {
      "type": "WEB",
      "url": "http://www-1.ibm.com/support/search.wss?rs=0\u0026q=IY35970\u0026apar=only"
    },
    {
      "type": "WEB",
      "url": "http://www.iss.net/security_center/static/10452.php"
    },
    {
      "type": "WEB",
      "url": "http://www.osvdb.org/2090"
    },
    {
      "type": "WEB",
      "url": "http://www.rapid7.com/advisories/R7-0007.txt"
    },
    {
      "type": "WEB",
      "url": "http://www.securityfocus.com/bid/6002"
    }
  ],
  "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

  • 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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