GHSA-WX6M-R4JC-MFVW

Vulnerability from github – Published: 2022-05-14 02:53 – Updated: 2022-05-14 02:53
VLAI
Details

RICOS in IBM Algo Credit Limits (aka ACLM) 4.5.0 through 4.7.0 before 4.7.0.03 FP5 in IBM Algorithmics allows context-dependent attackers to discover database credentials by reading the DbUser and DbPass fields in an XML document.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2014-0894"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-200"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2014-07-07T11:01:00Z",
    "severity": "LOW"
  },
  "details": "RICOS in IBM Algo Credit Limits (aka ACLM) 4.5.0 through 4.7.0 before 4.7.0.03 FP5 in IBM Algorithmics allows context-dependent attackers to discover database credentials by reading the DbUser and DbPass fields in an XML document.",
  "id": "GHSA-wx6m-r4jc-mfvw",
  "modified": "2022-05-14T02:53:40Z",
  "published": "2022-05-14T02:53:40Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2014-0894"
    },
    {
      "type": "WEB",
      "url": "https://exchange.xforce.ibmcloud.com/vulnerabilities/91313"
    },
    {
      "type": "WEB",
      "url": "https://www.sec-consult.com/fxdata/seccons/prod/temedia/advisories_txt/20140630-0_IBM_Algorithmics_RICOS_multiple_vulnerabilities_v10.txt"
    },
    {
      "type": "WEB",
      "url": "http://packetstormsecurity.com/files/127304/IBM-Algorithmics-RICOS-Disclosure-XSS-CSRF.html"
    },
    {
      "type": "WEB",
      "url": "http://seclists.org/fulldisclosure/2014/Jun/173"
    },
    {
      "type": "WEB",
      "url": "http://secunia.com/advisories/59296"
    },
    {
      "type": "WEB",
      "url": "http://www-01.ibm.com/support/docview.wss?uid=swg21675881"
    },
    {
      "type": "WEB",
      "url": "http://www.securityfocus.com/archive/1/532598/100/0/threaded"
    }
  ],
  "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.
  • Confirmed: The vulnerability has been validated from an analyst's perspective.
  • Published Proof of Concept: A public proof of concept is available for this vulnerability.
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  • Not confirmed: The user expressed doubt about the validity of the vulnerability.
  • Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.

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