GHSA-C4QC-4Q9P-M9Q9

Vulnerability from github – Published: 2026-02-10 12:30 – Updated: 2026-02-10 14:33
VLAI
Summary
Apache Shiro Affected by an Observable Timing Discrepancy Vulnerability
Details

Observable Timing Discrepancy vulnerability in Apache Shiro.

This issue affects Apache Shiro: from 1., 2. before 2.0.7.

Users are recommended to upgrade to version 2.0.7 or later, which fixes the issue.

Prior to Shiro 2.0.7, code paths for non-existent vs. existing users are different enough, that a brute-force attack may be able to tell, by timing the requests only, determine if the request failed because of a non-existent user vs. wrong password.

The most likely attack vector is a local attack only. Shiro security model  https://shiro.apache.org/security-model.html#username_enumeration  discusses this as well.

Typically, brute force attack can be mitigated at the infrastructure level.

Severity
1.0 (Low)
CVSS:4.0/AV:L/AC:H/AT:P/PR:L/UI:A/VC:L/VI:N/VA:N/SC:L/SI:N/SA:N
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{
  "affected": [
    {
      "package": {
        "ecosystem": "Maven",
        "name": "org.apache.shiro:shiro-core"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "fixed": "2.1.0"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    }
  ],
  "aliases": [
    "CVE-2026-23901"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-208"
    ],
    "github_reviewed": true,
    "github_reviewed_at": "2026-02-10T14:33:33Z",
    "nvd_published_at": "2026-02-10T10:15:59Z",
    "severity": "LOW"
  },
  "details": "Observable Timing Discrepancy vulnerability in Apache Shiro.\n\nThis issue affects Apache Shiro: from 1.*, 2.* before 2.0.7.\n\nUsers are recommended to upgrade to version 2.0.7 or later, which fixes the issue.\n\nPrior to Shiro 2.0.7, code paths for non-existent vs. existing users are different enough,\nthat a brute-force attack may be able to tell, by timing the requests only, determine if\nthe request failed because of a non-existent user vs. wrong password.\n\nThe most likely attack vector is a local attack only.\nShiro security model\u00a0 https://shiro.apache.org/security-model.html#username_enumeration \u00a0discusses this as well.\n\nTypically, brute force attack can be mitigated at the infrastructure level.",
  "id": "GHSA-c4qc-4q9p-m9q9",
  "modified": "2026-02-10T14:33:33Z",
  "published": "2026-02-10T12:30:28Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-23901"
    },
    {
      "type": "PACKAGE",
      "url": "https://github.com/apache/shiro"
    },
    {
      "type": "WEB",
      "url": "https://lists.apache.org/thread/mm1jct9b86jvnh3y44tj22xvjtx3xhhh"
    },
    {
      "type": "WEB",
      "url": "http://www.openwall.com/lists/oss-security/2026/02/08/2"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:4.0/AV:L/AC:H/AT:P/PR:L/UI:A/VC:L/VI:N/VA:N/SC:L/SI:N/SA:N",
      "type": "CVSS_V4"
    }
  ],
  "summary": "Apache Shiro Affected by an Observable Timing Discrepancy Vulnerability"
}


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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.