CVE-2017-3479 (GCVE-0-2017-3479)

Vulnerability from cvelistv5 – Published: 2017-04-24 19:00 – Updated: 2024-10-07 16:17
VLAI
Summary
Vulnerability in the Oracle FLEXCUBE Private Banking component of Oracle Financial Services Applications (subcomponent: Miscellaneous). Supported versions that are affected are 2.0.0, 2.0.1, 2.2.0.1 and 12.0.1. Easily "exploitable" vulnerability allows low privileged attacker with network access via HTTP to compromise Oracle FLEXCUBE Private Banking. Successful attacks of this vulnerability can result in unauthorized update, insert or delete access to some of Oracle FLEXCUBE Private Banking accessible data and unauthorized ability to cause a partial denial of service (partial DOS) of Oracle FLEXCUBE Private Banking. CVSS 3.0 Base Score 5.4 (Integrity and Availability impacts). CVSS Vector: (CVSS:3.0/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:L/A:L).
Severity
No CVSS data available.
SSVC
Exploitation: none Automatable: no Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2024-10-07 15:45 UTC
CWE
  • Easily "exploitable" vulnerability allows low privileged attacker with network access via HTTP to compromise Oracle FLEXCUBE Private Banking. Successful attacks of this vulnerability can result in unauthorized update, insert or delete access to some of Oracle FLEXCUBE Private Banking accessible data and unauthorized ability to cause a partial denial of service (partial DOS) of Oracle FLEXCUBE Private Banking.
Assigner
oracle CNA under the mitre root
CNA scorecard C 69/100 over 3977 records in the last 180 days details
References
URL Tags
http://www.oracle.com/technetwork/security-adviso… x_refsource_CONFIRM
http://www.securitytracker.com/id/1038304 vdb-entryx_refsource_SECTRACK
http://www.securityfocus.com/bid/97805 vdb-entryx_refsource_BID
Impacted products
Vendor Product Version CPE status
Oracle Corporation FLEXCUBE Private Banking Affected: 2.0.0
Affected: 2.0.1
Affected: 2.2.0.1
Affected: 12.0.1
guessed Create a notification for this product.
Date Public
2017-04-18 00:00
Show details on NVD website

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                  "refsource": "CONFIRM",
                  "url": "http://www.oracle.com/technetwork/security-advisory/cpuapr2017-3236618.html"
                },
                {
                  "name": "1038304",
                  "refsource": "SECTRACK",
                  "url": "http://www.securitytracker.com/id/1038304"
                },
                {
                  "name": "97805",
                  "refsource": "BID",
                  "url": "http://www.securityfocus.com/bid/97805"
                }
              ]
            }
          }
        }
      },
      "cveMetadata": {
        "assignerOrgId": "43595867-4340-4103-b7a2-9a5208d29a85",
        "assignerShortName": "oracle",
        "cveId": "CVE-2017-3479",
        "datePublished": "2017-04-24T19:00:00.000Z",
        "dateReserved": "2016-12-06T00:00:00.000Z",
        "dateUpdated": "2024-10-07T16:17:10.042Z",
        "state": "PUBLISHED"
      },
      "dataType": "CVE_RECORD",
      "dataVersion": "5.1"
    }
  }
}



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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

Author Source Type Date Other

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.
  • Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
  • Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
  • Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
  • Not confirmed: The user expressed doubt about the validity of the vulnerability.
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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.