GHSA-32WX-J5GV-PMFP

Vulnerability from github – Published: 2025-07-17 15:32 – Updated: 2025-07-17 21:32
VLAI
Details

Catalyst::Plugin::Session before version 0.44 for Perl generates session ids insecurely.

The session id is generated from a (usually SHA-1) hash of a simple counter, the epoch time, the built-in rand function, the PID and the current Catalyst context. This information is of low entropy. The PID will come from a small set of numbers, and the epoch time may be guessed, if it is not leaked from the HTTP Date header. The built-in rand function is unsuitable for cryptographic usage.

Predicable session ids could allow an attacker to gain access to systems.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2025-40924"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-338"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2025-07-17T14:15:31Z",
    "severity": "MODERATE"
  },
  "details": "Catalyst::Plugin::Session before version 0.44 for Perl generates session ids insecurely.\n\nThe session id is generated from a (usually SHA-1) hash of a simple counter, the epoch time, the built-in rand function, the PID and the current Catalyst context. This information is of low entropy. The PID will come from a small set of numbers, and the epoch time may be guessed, if it is not leaked from the HTTP Date header. The built-in rand function is unsuitable for cryptographic usage.\n\nPredicable session ids could allow an attacker to gain access to systems.",
  "id": "GHSA-32wx-j5gv-pmfp",
  "modified": "2025-07-17T21:32:11Z",
  "published": "2025-07-17T15:32:15Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2025-40924"
    },
    {
      "type": "WEB",
      "url": "https://github.com/perl-catalyst/Catalyst-Plugin-Session/pull/5"
    },
    {
      "type": "WEB",
      "url": "https://github.com/perl-catalyst/Catalyst-Plugin-Session/commit/c0e2b4ab1e42ebce1008286db8c571b6ee98c22c.patch"
    },
    {
      "type": "WEB",
      "url": "https://metacpan.org/release/HAARG/Catalyst-Plugin-Session-0.43/source/lib/Catalyst/Plugin/Session.pm#L632"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:L/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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