CVE-2019-19624 (GCVE-0-2019-19624)

Vulnerability from cvelistv5 – Published: 2019-12-06 14:26 – Updated: 2024-08-05 02:25
VLAI
Summary
An out-of-bounds read was discovered in OpenCV before 4.1.1. Specifically, variable coarsest_scale is assumed to be greater than or equal to finest_scale within the calc()/ocl_calc() functions in dis_flow.cpp. However, this is not true when dealing with small images, leading to an out-of-bounds read of the heap-allocated arrays Ux and Uy.
Severity
6.5 (Medium)
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:N/A:L
CWE
  • n/a
Assigner
mitre CNA under the mitre root
CNA scorecard E 28/100 over 2339 records in the last 180 days details
References
Show details on NVD website
To clipboard 

{
  "containers": {
    "adp": [
      {
        "providerMetadata": {
          "dateUpdated": "2024-08-05T02:25:12.094Z",
          "orgId": "af854a3a-2127-422b-91ae-364da2661108",
          "shortName": "CVE"
        },
        "references": [
          {
            "tags": [
              "x_refsource_MISC",
              "x_transferred"
            ],
            "url": "https://github.com/opencv/opencv/issues/14554"
          },
          {
            "tags": [
              "x_refsource_MISC",
              "x_transferred"
            ],
            "url": "https://github.com/opencv/opencv/commit/d1615ba11a93062b1429fce9f0f638d1572d3418"
          }
        ],
        "title": "CVE Program Container"
      }
    ],
    "cna": {
      "affected": [
        {
          "product": "n/a",
          "vendor": "n/a",
          "versions": [
            {
              "status": "affected",
              "version": "n/a"
            }
          ]
        }
      ],
      "descriptions": [
        {
          "lang": "en",
          "value": "An out-of-bounds read was discovered in OpenCV before 4.1.1. Specifically, variable coarsest_scale is assumed to be greater than or equal to finest_scale within the calc()/ocl_calc() functions in dis_flow.cpp. However, this is not true when dealing with small images, leading to an out-of-bounds read of the heap-allocated arrays Ux and Uy."
        }
      ],
      "problemTypes": [
        {
          "descriptions": [
            {
              "description": "n/a",
              "lang": "en",
              "type": "text"
            }
          ]
        }
      ],
      "providerMetadata": {
        "dateUpdated": "2019-12-06T14:26:56.000Z",
        "orgId": "8254265b-2729-46b6-b9e3-3dfca2d5bfca",
        "shortName": "mitre"
      },
      "references": [
        {
          "tags": [
            "x_refsource_MISC"
          ],
          "url": "https://github.com/opencv/opencv/issues/14554"
        },
        {
          "tags": [
            "x_refsource_MISC"
          ],
          "url": "https://github.com/opencv/opencv/commit/d1615ba11a93062b1429fce9f0f638d1572d3418"
        }
      ],
      "x_legacyV4Record": {
        "CVE_data_meta": {
          "ASSIGNER": "cve@mitre.org",
          "ID": "CVE-2019-19624",
          "STATE": "PUBLIC"
        },
        "affects": {
          "vendor": {
            "vendor_data": [
              {
                "product": {
                  "product_data": [
                    {
                      "product_name": "n/a",
                      "version": {
                        "version_data": [
                          {
                            "version_value": "n/a"
                          }
                        ]
                      }
                    }
                  ]
                },
                "vendor_name": "n/a"
              }
            ]
          }
        },
        "data_format": "MITRE",
        "data_type": "CVE",
        "data_version": "4.0",
        "description": {
          "description_data": [
            {
              "lang": "eng",
              "value": "An out-of-bounds read was discovered in OpenCV before 4.1.1. Specifically, variable coarsest_scale is assumed to be greater than or equal to finest_scale within the calc()/ocl_calc() functions in dis_flow.cpp. However, this is not true when dealing with small images, leading to an out-of-bounds read of the heap-allocated arrays Ux and Uy."
            }
          ]
        },
        "problemtype": {
          "problemtype_data": [
            {
              "description": [
                {
                  "lang": "eng",
                  "value": "n/a"
                }
              ]
            }
          ]
        },
        "references": {
          "reference_data": [
            {
              "name": "https://github.com/opencv/opencv/issues/14554",
              "refsource": "MISC",
              "url": "https://github.com/opencv/opencv/issues/14554"
            },
            {
              "name": "https://github.com/opencv/opencv/commit/d1615ba11a93062b1429fce9f0f638d1572d3418",
              "refsource": "MISC",
              "url": "https://github.com/opencv/opencv/commit/d1615ba11a93062b1429fce9f0f638d1572d3418"
            }
          ]
        }
      }
    }
  },
  "cveMetadata": {
    "assignerOrgId": "8254265b-2729-46b6-b9e3-3dfca2d5bfca",
    "assignerShortName": "mitre",
    "cveId": "CVE-2019-19624",
    "datePublished": "2019-12-06T14:26:56.000Z",
    "dateReserved": "2019-12-06T00:00:00.000Z",
    "dateUpdated": "2024-08-05T02:25:12.094Z",
    "state": "PUBLISHED"
  },
  "dataType": "CVE_RECORD",
  "dataVersion": "5.1",
  "vulnerability-lookup:meta": {
    "epss": {
      "cve": "CVE-2019-19624",
      "date": "2026-10-15",
      "epss": "0.01756",
      "percentile": "0.77525"
    },
    "fkie_nvd": {
      "configurations": [
        {
          "nodes": [
            {
              "cpeMatch": [
                {
                  "criteria": "cpe:2.3:a:opencv:opencv:*:*:*:*:*:*:*:*",
                  "matchCriteriaId": "B00DAA9A-1738-491E-9220-BFFB8580CAB4",
                  "versionEndExcluding": "4.1.1",
                  "vulnerable": true
                }
              ],
              "negate": false,
              "operator": "OR"
            }
          ]
        },
        {
          "nodes": [
            {
              "cpeMatch": [
                {
                  "criteria": "cpe:2.3:o:redhat:enterprise_linux:8.0:*:*:*:*:*:*:*",
                  "matchCriteriaId": "F4CFF558-3C47-480D-A2F0-BABF26042943",
                  "vulnerable": true
                }
              ],
              "negate": false,
              "operator": "OR"
            }
          ]
        }
      ],
      "descriptions": [
        {
          "lang": "en",
          "value": "An out-of-bounds read was discovered in OpenCV before 4.1.1. Specifically, variable coarsest_scale is assumed to be greater than or equal to finest_scale within the calc()/ocl_calc() functions in dis_flow.cpp. However, this is not true when dealing with small images, leading to an out-of-bounds read of the heap-allocated arrays Ux and Uy."
        },
        {
          "lang": "es",
          "value": "Se detect\u00f3 una lectura fuera de l\u00edmites en OpenCV versiones anteriores a 4.1.1. Espec\u00edficamente, una variable coarsest_scale es asumida para ser mayor o igual que finest_scale dentro de las funciones calc() y ocl_calc() en el archivo dis_flow.cpp. Sin embargo, esto no es cierto cuando se trata de im\u00e1genes peque\u00f1as, conllevando a una lectura fuera de l\u00edmites de las matrices Ux y Uy asignadas de la pila."
        }
      ],
      "id": "CVE-2019-19624",
      "lastModified": "2024-11-21T04:35:04.850",
      "metrics": {
        "cvssMetricV2": [
          {
            "acInsufInfo": false,
            "baseSeverity": "MEDIUM",
            "cvssData": {
              "accessComplexity": "LOW",
              "accessVector": "NETWORK",
              "authentication": "NONE",
              "availabilityImpact": "PARTIAL",
              "baseScore": 6.4,
              "confidentialityImpact": "PARTIAL",
              "integrityImpact": "NONE",
              "vectorString": "AV:N/AC:L/Au:N/C:P/I:N/A:P",
              "version": "2.0"
            },
            "exploitabilityScore": 10.0,
            "impactScore": 4.9,
            "obtainAllPrivilege": false,
            "obtainOtherPrivilege": false,
            "obtainUserPrivilege": false,
            "source": "nvd@nist.gov",
            "type": "Primary",
            "userInteractionRequired": false
          }
        ],
        "cvssMetricV31": [
          {
            "cvssData": {
              "attackComplexity": "LOW",
              "attackVector": "NETWORK",
              "availabilityImpact": "LOW",
              "baseScore": 6.5,
              "baseSeverity": "MEDIUM",
              "confidentialityImpact": "LOW",
              "integrityImpact": "NONE",
              "privilegesRequired": "NONE",
              "scope": "UNCHANGED",
              "userInteraction": "NONE",
              "vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:N/A:L",
              "version": "3.1"
            },
            "exploitabilityScore": 3.9,
            "impactScore": 2.5,
            "source": "nvd@nist.gov",
            "type": "Primary"
          }
        ]
      },
      "published": "2019-12-06T15:15:10.330",
      "references": [
        {
          "source": "cve@mitre.org",
          "tags": [
            "Patch",
            "Third Party Advisory"
          ],
          "url": "https://github.com/opencv/opencv/commit/d1615ba11a93062b1429fce9f0f638d1572d3418"
        },
        {
          "source": "cve@mitre.org",
          "tags": [
            "Exploit",
            "Issue Tracking",
            "Third Party Advisory"
          ],
          "url": "https://github.com/opencv/opencv/issues/14554"
        },
        {
          "source": "nvd@nist.gov",
          "tags": [
            "Third Party Advisory"
          ],
          "url": "https://access.redhat.com/security/cve/cve-2019-19624"
        },
        {
          "source": "af854a3a-2127-422b-91ae-364da2661108",
          "tags": [
            "Patch",
            "Third Party Advisory"
          ],
          "url": "https://github.com/opencv/opencv/commit/d1615ba11a93062b1429fce9f0f638d1572d3418"
        },
        {
          "source": "af854a3a-2127-422b-91ae-364da2661108",
          "tags": [
            "Exploit",
            "Issue Tracking",
            "Third Party Advisory"
          ],
          "url": "https://github.com/opencv/opencv/issues/14554"
        }
      ],
      "sourceIdentifier": "cve@mitre.org",
      "vulnStatus": "Modified",
      "weaknesses": [
        {
          "description": [
            {
              "lang": "en",
              "value": "CWE-125"
            }
          ],
          "source": "nvd@nist.gov",
          "type": "Primary"
        }
      ]
    },
    "nvd": {
      "cve": {
        "configurations": [
          {
            "nodes": [
              {
                "cpeMatch": [
                  {
                    "criteria": "cpe:2.3:a:opencv:opencv:*:*:*:*:*:*:*:*",
                    "matchCriteriaId": "B00DAA9A-1738-491E-9220-BFFB8580CAB4",
                    "versionEndExcluding": "4.1.1",
                    "vulnerable": true
                  }
                ],
                "negate": false,
                "operator": "OR"
              }
            ]
          },
          {
            "nodes": [
              {
                "cpeMatch": [
                  {
                    "criteria": "cpe:2.3:o:redhat:enterprise_linux:8.0:*:*:*:*:*:*:*",
                    "matchCriteriaId": "F4CFF558-3C47-480D-A2F0-BABF26042943",
                    "vulnerable": true
                  }
                ],
                "negate": false,
                "operator": "OR"
              }
            ]
          }
        ],
        "cveTags": [],
        "descriptions": [
          {
            "lang": "en",
            "value": "An out-of-bounds read was discovered in OpenCV before 4.1.1. Specifically, variable coarsest_scale is assumed to be greater than or equal to finest_scale within the calc()/ocl_calc() functions in dis_flow.cpp. However, this is not true when dealing with small images, leading to an out-of-bounds read of the heap-allocated arrays Ux and Uy."
          },
          {
            "lang": "es",
            "value": "Se detect\u00f3 una lectura fuera de l\u00edmites en OpenCV versiones anteriores a 4.1.1. Espec\u00edficamente, una variable coarsest_scale es asumida para ser mayor o igual que finest_scale dentro de las funciones calc() y ocl_calc() en el archivo dis_flow.cpp. Sin embargo, esto no es cierto cuando se trata de im\u00e1genes peque\u00f1as, conllevando a una lectura fuera de l\u00edmites de las matrices Ux y Uy asignadas de la pila."
          }
        ],
        "id": "CVE-2019-19624",
        "lastModified": "2024-11-21T04:35:04.850",
        "metrics": {
          "cvssMetricV2": [
            {
              "acInsufInfo": false,
              "baseSeverity": "MEDIUM",
              "cvssData": {
                "accessComplexity": "LOW",
                "accessVector": "NETWORK",
                "authentication": "NONE",
                "availabilityImpact": "PARTIAL",
                "baseScore": 6.4,
                "confidentialityImpact": "PARTIAL",
                "integrityImpact": "NONE",
                "vectorString": "AV:N/AC:L/Au:N/C:P/I:N/A:P",
                "version": "2.0"
              },
              "exploitabilityScore": 10.0,
              "impactScore": 4.9,
              "obtainAllPrivilege": false,
              "obtainOtherPrivilege": false,
              "obtainUserPrivilege": false,
              "source": "nvd@nist.gov",
              "type": "Primary",
              "userInteractionRequired": false
            }
          ],
          "cvssMetricV31": [
            {
              "cvssData": {
                "attackComplexity": "LOW",
                "attackVector": "NETWORK",
                "availabilityImpact": "LOW",
                "baseScore": 6.5,
                "baseSeverity": "MEDIUM",
                "confidentialityImpact": "LOW",
                "integrityImpact": "NONE",
                "privilegesRequired": "NONE",
                "scope": "UNCHANGED",
                "userInteraction": "NONE",
                "vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:N/A:L",
                "version": "3.1"
              },
              "exploitabilityScore": 3.9,
              "impactScore": 2.5,
              "source": "nvd@nist.gov",
              "type": "Primary"
            }
          ]
        },
        "published": "2019-12-06T15:15:10.330",
        "references": [
          {
            "source": "cve@mitre.org",
            "tags": [
              "Patch",
              "Third Party Advisory"
            ],
            "url": "https://github.com/opencv/opencv/commit/d1615ba11a93062b1429fce9f0f638d1572d3418"
          },
          {
            "source": "cve@mitre.org",
            "tags": [
              "Exploit",
              "Issue Tracking",
              "Third Party Advisory"
            ],
            "url": "https://github.com/opencv/opencv/issues/14554"
          },
          {
            "source": "nvd@nist.gov",
            "tags": [
              "Third Party Advisory"
            ],
            "url": "https://access.redhat.com/security/cve/cve-2019-19624"
          },
          {
            "source": "af854a3a-2127-422b-91ae-364da2661108",
            "tags": [
              "Patch",
              "Third Party Advisory"
            ],
            "url": "https://github.com/opencv/opencv/commit/d1615ba11a93062b1429fce9f0f638d1572d3418"
          },
          {
            "source": "af854a3a-2127-422b-91ae-364da2661108",
            "tags": [
              "Exploit",
              "Issue Tracking",
              "Third Party Advisory"
            ],
            "url": "https://github.com/opencv/opencv/issues/14554"
          }
        ],
        "sourceIdentifier": "cve@mitre.org",
        "vulnStatus": "Modified",
        "weaknesses": [
          {
            "description": [
              {
                "lang": "en",
                "value": "CWE-125"
              }
            ],
            "source": "nvd@nist.gov",
            "type": "Primary"
          }
        ]
      }
    },
    "redhat_vex": {
      "aggregate_severity": "Low",
      "current_release_date": "2026-06-26T23:49:05+00:00",
      "cve": "CVE-2019-19624",
      "id": "CVE-2019-19624",
      "initial_release_date": "2019-05-14T00:00:00+00:00",
      "product_status:known_affected": "6",
      "product_status:known_not_affected": "9",
      "source": "Red Hat CSAF VEX",
      "status": "final",
      "title": "opencv: out-of-bounds read in DIS optflow algorithm when dealing with small images",
      "url": "https://security.access.redhat.com/data/csaf/v2/vex/2019/cve-2019-19624.json",
      "version": "3"
    },
    "suse_vex": {
      "aggregate_severity": "moderate",
      "current_release_date": "2025-10-07T09:19:44Z",
      "cve": "CVE-2019-19624",
      "id": "CVE-2019-19624",
      "initial_release_date": "2023-02-15T04:05:57Z",
      "product_status:known_not_affected": "24",
      "source": "SUSE CSAF VEX",
      "status": "interim",
      "title": "SUSE CVE CVE-2019-19624",
      "url": "https://ftp.suse.com/pub/projects/security/csaf-vex/cve-2019-19624.json",
      "version": "9"
    }
  }
}



Log in or create an account to share your comment.




Tags
Taxonomy of the tags.




Drag nodes to arrange them. Double-click a related vulnerability to open it, or a source to visit its link. The Physics button on the left tunes the layout and the simulation; the legend at the bottom left hides or shows nodes by kind and by sighting type.

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.
Vulnerability timeline

Sightings and recorded dates, grouped by day · UTC

JSON

Loading timeline…




    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.