CVE-2018-1612 (GCVE-0-2018-1612)

Vulnerability from cvelistv5 – Published: 2018-07-17 16:00 – Updated: 2024-09-16 23:51
VLAI
Summary
IBM QRadar Incident Forensics (IBM QRadar SIEM 7.2, and 7.3) could allow a remote attacker to bypass authentication and obtain sensitive information. IBM X-Force ID: 144164.
CWE
  • Obtain Information
References
Impacted products
Vendor Product Version CPE status
IBM QRadar SIEM Affected: 7.2
Affected: 7.3
guessed Create a notification for this product.
Date Public
2018-06-06 00:00
Show details on NVD website

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                  },
                  {
                    "criteria": "cpe:2.3:a:ibm:qradar_security_information_and_event_manager:7.3.1:p4:*:*:*:*:*:*",
                    "matchCriteriaId": "48E8F646-A036-4164-9526-79DC2537E4D5",
                    "vulnerable": true
                  }
                ],
                "negate": false,
                "operator": "OR"
              }
            ]
          }
        ],
        "cveTags": [],
        "descriptions": [
          {
            "lang": "en",
            "value": "IBM QRadar Incident Forensics (IBM QRadar SIEM 7.2, and 7.3) could allow a remote attacker to bypass authentication and obtain sensitive information. IBM X-Force ID: 144164."
          },
          {
            "lang": "es",
            "value": "IBM QRadar Incident Forensics (IBM QRadar SIEM 7.2 y 7.3) podr\u00eda permitir que un atacante remoto omita la autenticaci\u00f3n y obtenga informaci\u00f3n sensible. IBM X-Force ID: 144164."
          }
        ],
        "id": "CVE-2018-1612",
        "lastModified": "2024-11-21T04:00:05.490",
        "metrics": {
          "cvssMetricV2": [
            {
              "acInsufInfo": false,
              "baseSeverity": "MEDIUM",
              "cvssData": {
                "accessComplexity": "LOW",
                "accessVector": "NETWORK",
                "authentication": "NONE",
                "availabilityImpact": "NONE",
                "baseScore": 5.0,
                "confidentialityImpact": "PARTIAL",
                "integrityImpact": "NONE",
                "vectorString": "AV:N/AC:L/Au:N/C:P/I:N/A:N",
                "version": "2.0"
              },
              "exploitabilityScore": 10.0,
              "impactScore": 2.9,
              "obtainAllPrivilege": false,
              "obtainOtherPrivilege": false,
              "obtainUserPrivilege": false,
              "source": "nvd@nist.gov",
              "type": "Primary",
              "userInteractionRequired": false
            }
          ],
          "cvssMetricV30": [
            {
              "cvssData": {
                "attackComplexity": "LOW",
                "attackVector": "NETWORK",
                "availabilityImpact": "NONE",
                "baseScore": 5.8,
                "baseSeverity": "MEDIUM",
                "confidentialityImpact": "LOW",
                "integrityImpact": "NONE",
                "privilegesRequired": "NONE",
                "scope": "CHANGED",
                "userInteraction": "NONE",
                "vectorString": "CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:C/C:L/I:N/A:N",
                "version": "3.0"
              },
              "exploitabilityScore": 3.9,
              "impactScore": 1.4,
              "source": "psirt@us.ibm.com",
              "type": "Secondary"
            },
            {
              "cvssData": {
                "attackComplexity": "LOW",
                "attackVector": "NETWORK",
                "availabilityImpact": "NONE",
                "baseScore": 5.8,
                "baseSeverity": "MEDIUM",
                "confidentialityImpact": "LOW",
                "integrityImpact": "NONE",
                "privilegesRequired": "NONE",
                "scope": "CHANGED",
                "userInteraction": "NONE",
                "vectorString": "CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:C/C:L/I:N/A:N",
                "version": "3.0"
              },
              "exploitabilityScore": 3.9,
              "impactScore": 1.4,
              "source": "nvd@nist.gov",
              "type": "Primary"
            }
          ]
        },
        "published": "2018-07-17T16:29:00.347",
        "references": [
          {
            "source": "psirt@us.ibm.com",
            "tags": [
              "Patch",
              "Vendor Advisory"
            ],
            "url": "http://www-01.ibm.com/support/docview.wss?uid=swg22017062"
          },
          {
            "source": "psirt@us.ibm.com",
            "tags": [
              "VDB Entry",
              "Vendor Advisory"
            ],
            "url": "https://exchange.xforce.ibmcloud.com/vulnerabilities/144164"
          },
          {
            "source": "psirt@us.ibm.com",
            "tags": [
              "Third Party Advisory",
              "VDB Entry"
            ],
            "url": "https://www.exploit-db.com/exploits/45005/"
          },
          {
            "source": "af854a3a-2127-422b-91ae-364da2661108",
            "tags": [
              "Patch",
              "Vendor Advisory"
            ],
            "url": "http://www-01.ibm.com/support/docview.wss?uid=swg22017062"
          },
          {
            "source": "af854a3a-2127-422b-91ae-364da2661108",
            "tags": [
              "VDB Entry",
              "Vendor Advisory"
            ],
            "url": "https://exchange.xforce.ibmcloud.com/vulnerabilities/144164"
          },
          {
            "source": "af854a3a-2127-422b-91ae-364da2661108",
            "tags": [
              "Third Party Advisory",
              "VDB Entry"
            ],
            "url": "https://www.exploit-db.com/exploits/45005/"
          }
        ],
        "sourceIdentifier": "psirt@us.ibm.com",
        "vulnStatus": "Modified",
        "weaknesses": [
          {
            "description": [
              {
                "lang": "en",
                "value": "CWE-200"
              }
            ],
            "source": "nvd@nist.gov",
            "type": "Primary"
          }
        ]
      }
    }
  }
}



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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.
  • Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.

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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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