GHSA-M5CF-54F6-6GW2

Vulnerability from github – Published: 2026-04-28 18:30 – Updated: 2026-04-28 18:30
VLAI
Details

An issue was discovered in Cista v0.15 and below. Insecure deserialization of untrusted input under certain conditions may lead to leaking of stack/heap addresses which may be used to bypass ASLR. Classes with pointer-like mechanics under the cista::raw namespace are prone to reference tampering, where Cista does not perform sufficient checks to safeguard against self-referencing pointers and referencing other data within the payload. The leak occurs if the deserialized values are observable by the attacker.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2025-60887"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-502"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2026-04-28T16:16:05Z",
    "severity": "MODERATE"
  },
  "details": "An issue was discovered in Cista v0.15 and below. Insecure deserialization of untrusted input under certain conditions may lead to leaking of stack/heap addresses which may be used to bypass ASLR. Classes with pointer-like mechanics under the cista::raw namespace are prone to reference tampering, where Cista does not perform sufficient checks to safeguard against self-referencing pointers and referencing other data within the payload. The leak occurs if the deserialized values are observable by the attacker.",
  "id": "GHSA-m5cf-54f6-6gw2",
  "modified": "2026-04-28T18:30:32Z",
  "published": "2026-04-28T18:30:32Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2025-60887"
    },
    {
      "type": "WEB",
      "url": "https://gist.github.com/TrebledJ/66cc0ed37bdb3e70ce0ef98396790771"
    },
    {
      "type": "WEB",
      "url": "http://cista.com"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:N/A:N",
      "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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  • Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.

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Related by attack behaviour

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