GHSA-M272-V6VR-R4FF

Vulnerability from github – Published: 2026-06-01 12:30 – Updated: 2026-06-01 12:30
VLAI
Details

Missing authentication and clear‑text transmission of data from the heat pumps to the control server, combined with the absence of input validation on aggregated data, can lead to stored XSS that enables theft of cookies from the pump’s web control interface. Older Orca heat pump devices communicating with the Orca server over an unencrypted and unauthenticated HTTP connection on a non-secure port specifically enable an attacker to impersonate a legitimate device and inject malicious payloads. This enables the insertion of harmful code directly into the Orca user portal, potentially compromising user accounts, exposing sensitive information, and allowing further unauthorized actions within the portal.

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{
  "affected": [],
  "aliases": [
    "CVE-2026-25599"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-79"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2026-06-01T11:16:24Z",
    "severity": "MODERATE"
  },
  "details": "Missing authentication and clear\u2011text transmission of data from the heat pumps to the control server, combined with the absence of input validation on aggregated data, can lead to stored XSS that enables theft of cookies from the pump\u2019s web control interface.\u00a0Older Orca heat pump devices communicating with the Orca server over an \nunencrypted and unauthenticated HTTP connection on a non-secure port specifically enable an\n attacker to impersonate a legitimate device and inject malicious \npayloads. This enables the insertion of harmful code directly\n into the Orca user portal, potentially compromising user accounts, \nexposing sensitive information, and allowing further unauthorized \nactions within the portal.",
  "id": "GHSA-m272-v6vr-r4ff",
  "modified": "2026-06-01T12:30:32Z",
  "published": "2026-06-01T12:30:32Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-25599"
    },
    {
      "type": "WEB",
      "url": "https://www.cert.si/en/cve-2026-25599"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:L/I:L/A:L",
      "type": "CVSS_V3"
    }
  ]
}


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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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