FKIE_CVE-2026-34392

Vulnerability from fkie_nvd - Published: 2026-04-08 19:25 - Updated: 2026-07-24 22:10
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. From 20.0.0 to before 27.0.3 and 28.0.1, a bug in the static file router can allow an attacker to traverse outside of the intended directory, allowing unintended files to be downloaded through the static, css, and js endpoints. This vulnerability is fixed in 27.0.3 and 28.0.1.
References
security-advisories@github.comhttps://github.com/aces/Loris/security/advisories/GHSA-rfj5-58hv-wc5fPatch, Vendor 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": "\u003e= 20.0.0, \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": "ACBF060E-474B-4952-B802-04BA2FBFB5AC",
              "versionEndExcluding": "27.0.3",
              "versionStartIncluding": "20.0.0",
              "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. From 20.0.0 to before 27.0.3 and 28.0.1, a bug in the static file router can allow an attacker to traverse outside of the intended directory, allowing unintended files to be downloaded through the static, css, and js endpoints. This vulnerability is fixed in 27.0.3 and 28.0.1."
    },
    {
      "lang": "es",
      "value": "LORIS (Longitudinal Online Research and Imaging System) es una aplicaci\u00f3n web autoalojada que proporciona gesti\u00f3n de datos y proyectos para la investigaci\u00f3n en neuroimagen. Desde 20.0.0 hasta antes de 27.0.3 y 28.0.1, un error en el router de archivos est\u00e1ticos puede permitir a un atacante recorrer fuera del directorio previsto, permitiendo que se descarguen archivos no deseados a trav\u00e9s de los puntos finales static, css y js. Esta vulnerabilidad est\u00e1 corregida en 27.0.3 y 28.0.1."
    }
  ],
  "id": "CVE-2026-34392",
  "lastModified": "2026-07-24T22:10:00.140",
  "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-2026-34392",
          "options": [
            {
              "exploitation": "none"
            },
            {
              "automatable": "yes"
            },
            {
              "technicalImpact": "partial"
            }
          ],
          "role": "CISA Coordinator",
          "timestamp": "2026-04-09T14:23:39.302738Z",
          "version": "2.0.3"
        }
      }
    ]
  },
  "published": "2026-04-08T19:25:21.723",
  "references": [
    {
      "source": "security-advisories@github.com",
      "tags": [
        "Patch",
        "Vendor Advisory"
      ],
      "url": "https://github.com/aces/Loris/security/advisories/GHSA-rfj5-58hv-wc5f"
    }
  ],
  "sourceIdentifier": "security-advisories@github.com",
  "vulnStatus": "Analyzed",
  "weaknesses": [
    {
      "description": [
        {
          "lang": "en",
          "value": "CWE-552"
        }
      ],
      "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.

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


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