FKIE_CVE-2026-33350

Vulnerability from fkie_nvd - Published: 2026-04-08 19:25 - Updated: 2026-06-17 10:37
Severity
7.5 (High) - CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N
Summary
LORIS (Longitudinal Online Research and Imaging System) is a self-hosted web application that provides data- and project-management for neuroimaging research. Prior to 27.0.3 and 28.0.1, a SQL injection has been identified in some code sections for the MRI feedback popup window of the imaging browser. Attackers can use SQL ingestion to access/alter data on the server. This vulnerability is fixed in 27.0.3 and 28.0.1.
References
security-advisories@github.comhttps://github.com/aces/Loris/security/advisories/GHSA-9r29-6jgc-3gghVendor Advisory
Impacted products
Vendor Product Version
mcgill loris *
mcgill loris 28.0.0
To clipboard 

{
  "affected": [
    {
      "affectedData": [
        {
          "product": "Loris",
          "vendor": "aces",
          "versions": [
            {
              "status": "affected",
              "version": "\u003c 27.0.3"
            },
            {
              "status": "affected",
              "version": "\u003e= 28.0.0, \u003c 28.0.1"
            }
          ]
        }
      ],
      "source": "security-advisories@github.com"
    }
  ],
  "configurations": [
    {
      "nodes": [
        {
          "cpeMatch": [
            {
              "criteria": "cpe:2.3:a:mcgill:loris:*:*:*:*:*:*:*:*",
              "matchCriteriaId": "F04A492D-D20B-4349-B01E-18EC44C8E400",
              "versionEndExcluding": "27.0.3",
              "vulnerable": true
            },
            {
              "criteria": "cpe:2.3:a:mcgill:loris:28.0.0:*:*:*:*:*:*:*",
              "matchCriteriaId": "D358B66A-04AC-44F2-8EF6-4332D8AC00F4",
              "vulnerable": true
            }
          ],
          "negate": false,
          "operator": "OR"
        }
      ]
    }
  ],
  "cveTags": [],
  "descriptions": [
    {
      "lang": "en",
      "value": "LORIS (Longitudinal Online Research and Imaging System) is a self-hosted web application that provides data- and project-management for neuroimaging research. Prior to 27.0.3 and 28.0.1, a SQL injection has been identified in some code sections for the MRI feedback popup window of the imaging browser. Attackers can use SQL ingestion to access/alter data on the server. This vulnerability is fixed in 27.0.3 and 28.0.1."
    }
  ],
  "id": "CVE-2026-33350",
  "lastModified": "2026-06-17T10:37:21.610",
  "metrics": {
    "cvssMetricV31": [
      {
        "cvssData": {
          "attackComplexity": "LOW",
          "attackVector": "NETWORK",
          "availabilityImpact": "NONE",
          "baseScore": 7.5,
          "baseSeverity": "HIGH",
          "confidentialityImpact": "HIGH",
          "integrityImpact": "NONE",
          "privilegesRequired": "NONE",
          "scope": "UNCHANGED",
          "userInteraction": "NONE",
          "vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N",
          "version": "3.1"
        },
        "exploitabilityScore": 3.9,
        "impactScore": 3.6,
        "source": "security-advisories@github.com",
        "type": "Secondary"
      }
    ],
    "ssvcV203": [
      {
        "source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
        "ssvcData": {
          "id": "CVE-2026-33350",
          "options": [
            {
              "exploitation": "none"
            },
            {
              "automatable": "yes"
            },
            {
              "technicalImpact": "partial"
            }
          ],
          "role": "CISA Coordinator",
          "timestamp": "2026-04-08T19:23:56.598329Z",
          "version": "2.0.3"
        }
      }
    ]
  },
  "published": "2026-04-08T19:25:21.163",
  "references": [
    {
      "source": "security-advisories@github.com",
      "tags": [
        "Vendor Advisory"
      ],
      "url": "https://github.com/aces/Loris/security/advisories/GHSA-9r29-6jgc-3ggh"
    }
  ],
  "sourceIdentifier": "security-advisories@github.com",
  "vulnStatus": "Analyzed",
  "weaknesses": [
    {
      "description": [
        {
          "lang": "en",
          "value": "CWE-89"
        }
      ],
      "source": "security-advisories@github.com",
      "type": "Secondary"
    }
  ]
}


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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

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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.


Detection rules are retrieved from Rulezet.