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CVE-2021-26296 (GCVE-0-2021-26296)

Vulnerability from cvelistv5 – Published: 2021-02-19 08:30 – Updated: 2025-02-13 16:27
VLAI
Title
Cross-Site Request Forgery (CSRF) vulnerability in Apache MyFaces
Summary
In the default configuration, Apache MyFaces Core versions 2.2.0 to 2.2.13, 2.3.0 to 2.3.7, 2.3-next-M1 to 2.3-next-M4, and 3.0.0-RC1 use cryptographically weak implicit and explicit cross-site request forgery (CSRF) tokens. Due to that limitation, it is possible (although difficult) for an attacker to calculate a future CSRF token value and to use that value to trick a user into executing unwanted actions on an application.
CWE
  • CWE-352 - Cross-Site Request Forgery (CSRF)
Impacted products
Vendor Product Version CPE status
Apache Software Foundation Apache MyFaces Core Affected: Apache MyFaces Core 2.2 , < 2.2.14 (custom)
Affected: Apache MyFaces Core 2.3 , < 2.3.8 (custom)
Affected: Apache MyFaces Core 2.3-next , < 2.3-next-M5 (custom)
Affected: Apache MyFaces Core 3.0 , < 3.0.0 (custom)
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Show details on NVD website

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Party Advisory\",\"VDB Entry\"]},{\"url\":\"http://seclists.org/fulldisclosure/2021/Feb/66\",\"source\":\"security@apache.org\",\"tags\":[\"Mailing List\",\"Third Party Advisory\"]},{\"url\":\"https://lists.apache.org/thread.html/r2b73e2356c6155e9ec78fdd8f72a4fac12f3e588014f5f535106ed9b%40%3Cannounce.apache.org%3E\",\"source\":\"security@apache.org\",\"tags\":[\"Mailing List\",\"Vendor Advisory\"]},{\"url\":\"https://security.netapp.com/advisory/ntap-20210528-0007/\",\"source\":\"security@apache.org\",\"tags\":[\"Third Party Advisory\"]},{\"url\":\"http://packetstormsecurity.com/files/161484/Apache-MyFaces-2.x-Cross-Site-Request-Forgery.html\",\"source\":\"af854a3a-2127-422b-91ae-364da2661108\",\"tags\":[\"Exploit\",\"Third Party Advisory\",\"VDB Entry\"]},{\"url\":\"http://seclists.org/fulldisclosure/2021/Feb/66\",\"source\":\"af854a3a-2127-422b-91ae-364da2661108\",\"tags\":[\"Mailing List\",\"Third Party Advisory\"]},{\"url\":\"https://lists.apache.org/thread.html/r2b73e2356c6155e9ec78fdd8f72a4fac12f3e588014f5f535106ed9b%40%3Cannounce.apache.org%3E\",\"source\":\"af854a3a-2127-422b-91ae-364da2661108\",\"tags\":[\"Mailing List\",\"Vendor Advisory\"]},{\"url\":\"https://security.netapp.com/advisory/ntap-20210528-0007/\",\"source\":\"af854a3a-2127-422b-91ae-364da2661108\",\"tags\":[\"Third Party Advisory\"]}]}}",
    "redhat_vex": {
      "aggregate_severity": "Moderate",
      "current_release_date": "2025-11-21T16:07:00+00:00",
      "cve": "CVE-2021-26296",
      "id": "CVE-2021-26296",
      "initial_release_date": "2021-02-18T00:00:00+00:00",
      "product_status:known_affected": "5",
      "product_status:known_not_affected": "2",
      "source": "Red Hat CSAF VEX",
      "status": "final",
      "title": "myfaces: Cross-site request forgery vulnerability in Apache MyFaces",
      "url": "https://security.access.redhat.com/data/csaf/v2/vex/2021/cve-2021-26296.json",
      "version": "3"
    }
  }
}



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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.

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Detection rules are retrieved from Rulezet.

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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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