FKIE_CVE-2024-10986

Vulnerability from fkie_nvd - Published: 2025-03-20 10:15 - Updated: 2026-06-17 06:56
Severity
8.8 (High) - CVSS:3.0/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
Summary
GPT Academic version 3.83 is vulnerable to a Local File Read (LFI) vulnerability through its HotReload function. This function can download and extract tar.gz files from arxiv.org. Despite implementing protections against path traversal, the application overlooks the Tarslip triggered by symlinks. This oversight allows attackers to read arbitrary local files from the victim server.
References
security@huntr.devhttps://huntr.com/bounties/db2167f5-f17f-491d-aeec-69ba55bf6427Exploit, Third Party Advisory
Impacted products
Vendor Product Version
binary-husky gpt_academic 3.83
To clipboard 

{
  "affected": [
    {
      "affectedData": [
        {
          "product": "binary-husky/gpt_academic",
          "vendor": "binary-husky",
          "versions": [
            {
              "lessThanOrEqual": "latest",
              "status": "affected",
              "version": "unspecified",
              "versionType": "custom"
            }
          ]
        }
      ],
      "source": "security@huntr.dev"
    }
  ],
  "configurations": [
    {
      "nodes": [
        {
          "cpeMatch": [
            {
              "criteria": "cpe:2.3:a:binary-husky:gpt_academic:3.83:*:*:*:*:*:*:*",
              "matchCriteriaId": "63F16447-B71B-4EAC-9ABD-EA8B4D131601",
              "vulnerable": true
            }
          ],
          "negate": false,
          "operator": "OR"
        }
      ]
    }
  ],
  "cveTags": [],
  "descriptions": [
    {
      "lang": "en",
      "value": "GPT Academic version 3.83 is vulnerable to a Local File Read (LFI) vulnerability through its HotReload function. This function can download and extract tar.gz files from arxiv.org. Despite implementing protections against path traversal, the application overlooks the Tarslip triggered by symlinks. This oversight allows attackers to read arbitrary local files from the victim server."
    },
    {
      "lang": "es",
      "value": "La versi\u00f3n 3.83 de GPT Academic es vulnerable a una vulnerabilidad de lectura local de archivos (LFI) a trav\u00e9s de su funci\u00f3n HotReload. Esta funci\u00f3n puede descargar y extraer archivos tar.gz de arxiv.org. A pesar de implementar protecciones contra el path traversal, la aplicaci\u00f3n ignora el Tarslip activado por enlaces simb\u00f3licos. Esta omisi\u00f3n permite a los atacantes leer archivos locales arbitrarios del servidor v\u00edctima."
    }
  ],
  "id": "CVE-2024-10986",
  "lastModified": "2026-06-17T06:56:49.640",
  "metrics": {
    "cvssMetricV30": [
      {
        "cvssData": {
          "attackComplexity": "LOW",
          "attackVector": "NETWORK",
          "availabilityImpact": "HIGH",
          "baseScore": 8.8,
          "baseSeverity": "HIGH",
          "confidentialityImpact": "HIGH",
          "integrityImpact": "HIGH",
          "privilegesRequired": "LOW",
          "scope": "UNCHANGED",
          "userInteraction": "NONE",
          "vectorString": "CVSS:3.0/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H",
          "version": "3.0"
        },
        "exploitabilityScore": 2.8,
        "impactScore": 5.9,
        "source": "security@huntr.dev",
        "type": "Secondary"
      }
    ],
    "ssvcV203": [
      {
        "source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
        "ssvcData": {
          "id": "CVE-2024-10986",
          "options": [
            {
              "exploitation": "poc"
            },
            {
              "automatable": "no"
            },
            {
              "technicalImpact": "total"
            }
          ],
          "role": "CISA Coordinator",
          "timestamp": "2025-03-20T17:49:16.725785Z",
          "version": "2.0.3"
        }
      }
    ]
  },
  "published": "2025-03-20T10:15:22.597",
  "references": [
    {
      "source": "security@huntr.dev",
      "tags": [
        "Exploit",
        "Third Party Advisory"
      ],
      "url": "https://huntr.com/bounties/db2167f5-f17f-491d-aeec-69ba55bf6427"
    }
  ],
  "sourceIdentifier": "security@huntr.dev",
  "vulnStatus": "Modified",
  "weaknesses": [
    {
      "description": [
        {
          "lang": "en",
          "value": "CWE-59"
        }
      ],
      "source": "security@huntr.dev",
      "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.
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  • Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.


Detection rules are retrieved from Rulezet.