FKIE_CVE-2025-66040

Vulnerability from fkie_nvd - Published: 2025-11-27 00:15 - Updated: 2026-04-15 00:35
Severity
3.6 (Low) - CVSS:3.1/AV:L/AC:H/PR:N/UI:R/S:U/C:L/I:L/A:N
Summary
Spotipy is a Python library for the Spotify Web API. Prior to version 2.25.2, there is a cross-site scripting (XSS) vulnerability in the OAuth callback server that allows for JavaScript injection through the unsanitized error parameter. Attackers can execute arbitrary JavaScript in the user's browser during OAuth authentication. This issue has been patched in version 2.25.2.
References
security-advisories@github.comhttps://github.com/spotipy-dev/spotipy/commit/880b92d7243dcf2b83bf31dc365a858d8b5e6767
security-advisories@github.comhttps://github.com/spotipy-dev/spotipy/security/advisories/GHSA-r77h-rpp9-w2xm
Impacted products
Vendor Product Version
To clipboard 

{
  "cveTags": [],
  "descriptions": [
    {
      "lang": "en",
      "value": "Spotipy is a Python library for the Spotify Web API. Prior to version 2.25.2, there is a cross-site scripting (XSS) vulnerability in the OAuth callback server that allows for JavaScript injection through the unsanitized error parameter. Attackers can execute arbitrary JavaScript in the user\u0027s browser during OAuth authentication. This issue has been patched in version 2.25.2."
    }
  ],
  "id": "CVE-2025-66040",
  "lastModified": "2026-04-15T00:35:42.020",
  "metrics": {
    "cvssMetricV31": [
      {
        "cvssData": {
          "attackComplexity": "HIGH",
          "attackVector": "LOCAL",
          "availabilityImpact": "NONE",
          "baseScore": 3.6,
          "baseSeverity": "LOW",
          "confidentialityImpact": "LOW",
          "integrityImpact": "LOW",
          "privilegesRequired": "NONE",
          "scope": "UNCHANGED",
          "userInteraction": "REQUIRED",
          "vectorString": "CVSS:3.1/AV:L/AC:H/PR:N/UI:R/S:U/C:L/I:L/A:N",
          "version": "3.1"
        },
        "exploitabilityScore": 1.0,
        "impactScore": 2.5,
        "source": "security-advisories@github.com",
        "type": "Secondary"
      }
    ]
  },
  "published": "2025-11-27T00:15:55.343",
  "references": [
    {
      "source": "security-advisories@github.com",
      "url": "https://github.com/spotipy-dev/spotipy/commit/880b92d7243dcf2b83bf31dc365a858d8b5e6767"
    },
    {
      "source": "security-advisories@github.com",
      "url": "https://github.com/spotipy-dev/spotipy/security/advisories/GHSA-r77h-rpp9-w2xm"
    }
  ],
  "sourceIdentifier": "security-advisories@github.com",
  "vulnStatus": "Deferred",
  "weaknesses": [
    {
      "description": [
        {
          "lang": "en",
          "value": "CWE-79"
        }
      ],
      "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

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.


Detection rules are retrieved from Rulezet.