CVE-2024-12745 (GCVE-0-2024-12745)

Vulnerability from cvelistv5 – Published: 2024-12-24 16:15 – Updated: 2025-10-14 18:58
VLAI
Title
SQL Injection in the Amazon Redshift Python Connector affecting v2.1.4
Summary
A SQL injection in the Amazon Redshift Python Connector v2.1.4 allows a user to gain escalated privileges via the get_schemas, get_tables, or get_columns Metadata APIs. Users are recommended to upgrade to the driver version 2.1.5 or revert to driver version 2.1.3.
SSVC
Exploitation: none Automatable: no Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2024-12-25 02:38 UTC
CWE
  • CWE-89 - Improper Neutralization of Special Elements used in an SQL Command ('SQL Injection')
Impacted products
Vendor Product Version CPE status
Amazon Amazon Redshift Python Connector Affected: 2.1.4
guessed Create a notification for this product.
Show details on NVD website

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                "vectorString": "CVSS:3.1/AV:N/AC:L/PR:L/UI:R/S:U/C:H/I:H/A:H",
                "version": "3.1"
              },
              "format": "CVSS",
              "scenarios": [
                {
                  "lang": "en",
                  "value": "GENERAL"
                }
              ]
            }
          ],
          "problemTypes": [
            {
              "descriptions": [
                {
                  "cweId": "CWE-89",
                  "description": "CWE-89 Improper Neutralization of Special Elements used in an SQL Command (\u0027SQL Injection\u0027)",
                  "lang": "en",
                  "type": "CWE"
                }
              ]
            }
          ],
          "providerMetadata": {
            "dateUpdated": "2025-10-14T18:58:13.925Z",
            "orgId": "ff89ba41-3aa1-4d27-914a-91399e9639e5",
            "shortName": "AMZN"
          },
          "references": [
            {
              "tags": [
                "vendor-advisory"
              ],
              "url": "https://github.com/aws/amazon-redshift-python-driver/security/advisories/GHSA-8gc2-vq6m-rwjw"
            },
            {
              "tags": [
                "vendor-advisory"
              ],
              "url": "https://aws.amazon.com/security/security-bulletins/AWS-2024-015/"
            },
            {
              "tags": [
                "patch"
              ],
              "url": "https://github.com/aws/amazon-redshift-python-driver/releases/tag/v2.1.5"
            }
          ],
          "source": {
            "discovery": "UNKNOWN"
          },
          "title": "SQL Injection in the Amazon Redshift Python Connector affecting v2.1.4",
          "x_generator": {
            "engine": "Vulnogram 0.2.0"
          }
        }
      },
      "cveMetadata": {
        "assignerOrgId": "ff89ba41-3aa1-4d27-914a-91399e9639e5",
        "assignerShortName": "AMZN",
        "cveId": "CVE-2024-12745",
        "datePublished": "2024-12-24T16:15:08.718Z",
        "dateReserved": "2024-12-18T01:02:13.095Z",
        "dateUpdated": "2025-10-14T18:58:13.925Z",
        "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.
  • 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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