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GHSA-CCPP-J37G-5J85

Vulnerability from github – Published: 2025-12-16 06:30 – Updated: 2025-12-16 06:30
VLAI
Details

CHOCO TEI WATCHER mini (IB-MCT001) contains an issue with improper check for unusual or exceptional conditions. When the Video Download feature is in a specific communication state, the product's resources may be consumed abnormally.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2025-66357"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-754"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2025-12-16T05:16:14Z",
    "severity": "MODERATE"
  },
  "details": "CHOCO TEI WATCHER mini (IB-MCT001) contains an issue with improper check for unusual or exceptional conditions. When the Video Download feature is in a specific communication state, the product\u0027s resources may be consumed abnormally.",
  "id": "GHSA-ccpp-j37g-5j85",
  "modified": "2025-12-16T06:30:19Z",
  "published": "2025-12-16T06:30:19Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2025-66357"
    },
    {
      "type": "WEB",
      "url": "https://jvn.jp/en/vu/JVNVU92827367"
    },
    {
      "type": "WEB",
      "url": "https://www.inaba.co.jp/files/chocomini_vulnerability_newly_identified.pdf"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:L",
      "type": "CVSS_V3"
    },
    {
      "score": "CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:N/VI:N/VA:L/SC:N/SI:N/SA:N/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X",
      "type": "CVSS_V4"
    }
  ]
}



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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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Related by attack behaviour

Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.


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