FKIE_CVE-2026-22730

Vulnerability from fkie_nvd - Published: 2026-03-18 08:16 - Updated: 2026-06-17 10:20
Summary
A critical SQL injection vulnerability in Spring AI's MariaDBFilterExpressionConverter allows attackers to bypass metadata-based access controls and execute arbitrary SQL commands. The vulnerability exists due to missing input sanitization.
Impacted products
Vendor Product Version
vmware spring_ai *
vmware spring_ai *

{
  "affected": [
    {
      "affectedData": [
        {
          "defaultStatus": "unaffected",
          "packageName": "Spring AI",
          "product": "Spring AI",
          "vendor": "VMware",
          "versions": [
            {
              "lessThan": "1.0.4",
              "status": "affected",
              "version": "1.0.x",
              "versionType": "OSS"
            },
            {
              "lessThan": "1.1.3",
              "status": "affected",
              "version": "1.1.x",
              "versionType": "oss"
            }
          ]
        }
      ],
      "source": "security@vmware.com"
    }
  ],
  "configurations": [
    {
      "nodes": [
        {
          "cpeMatch": [
            {
              "criteria": "cpe:2.3:a:vmware:spring_ai:*:*:*:*:*:*:*:*",
              "matchCriteriaId": "F510851F-2162-4380-97A0-75456BC7875A",
              "versionEndExcluding": "1.0.4",
              "versionStartIncluding": "1.0.0",
              "vulnerable": true
            },
            {
              "criteria": "cpe:2.3:a:vmware:spring_ai:*:*:*:*:*:*:*:*",
              "matchCriteriaId": "34C3CF7E-1A85-4EFE-8CC0-03E85527B2D5",
              "versionEndExcluding": "1.1.3",
              "versionStartIncluding": "1.1.0",
              "vulnerable": true
            }
          ],
          "negate": false,
          "operator": "OR"
        }
      ]
    }
  ],
  "cveTags": [],
  "descriptions": [
    {
      "lang": "en",
      "value": "A critical SQL injection vulnerability in Spring AI\u0027s MariaDBFilterExpressionConverter allows attackers to bypass metadata-based access controls and execute arbitrary SQL commands.\n\nThe vulnerability exists due to missing input sanitization."
    },
    {
      "lang": "es",
      "value": "Una vulnerabilidad cr\u00edtica de inyecci\u00f3n SQL en el MariaDBFilterExpressionConverter de Spring AI permite a los atacantes eludir los controles de acceso basados en metadatos y ejecutar comandos SQL arbitrarios.\n\nLa vulnerabilidad existe debido a la falta de saneamiento de entrada."
    }
  ],
  "id": "CVE-2026-22730",
  "lastModified": "2026-06-17T10:20:18.670",
  "metrics": {
    "cvssMetricV31": [
      {
        "cvssData": {
          "attackComplexity": "LOW",
          "attackVector": "NETWORK",
          "availabilityImpact": "HIGH",
          "baseScore": 8.8,
          "baseSeverity": "HIGH",
          "confidentialityImpact": "HIGH",
          "integrityImpact": "HIGH",
          "privilegesRequired": "LOW",
          "scope": "UNCHANGED",
          "userInteraction": "NONE",
          "vectorString": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H",
          "version": "3.1"
        },
        "exploitabilityScore": 2.8,
        "impactScore": 5.9,
        "source": "security@vmware.com",
        "type": "Secondary"
      }
    ],
    "ssvcV203": [
      {
        "source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
        "ssvcData": {
          "id": "CVE-2026-22730",
          "options": [
            {
              "exploitation": "none"
            },
            {
              "automatable": "no"
            },
            {
              "technicalImpact": "total"
            }
          ],
          "role": "CISA Coordinator",
          "timestamp": "2026-03-18T00:00:00+00:00",
          "version": "2.0.3"
        }
      }
    ]
  },
  "published": "2026-03-18T08:16:31.170",
  "references": [
    {
      "source": "security@vmware.com",
      "tags": [
        "Vendor Advisory"
      ],
      "url": "https://spring.io/security/cve-2026-22730"
    }
  ],
  "sourceIdentifier": "security@vmware.com",
  "vulnStatus": "Analyzed",
  "weaknesses": [
    {
      "description": [
        {
          "lang": "en",
          "value": "CWE-89"
        }
      ],
      "source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
      "type": "Secondary"
    }
  ]
}



Log in or create an account to share your comment.




Tags
Taxonomy of the tags.


Loading…

Loading…

Loading…

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.

Loading…

Loading…

Loading…

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.


Loading…