CVE-2022-41919 (GCVE-0-2022-41919)

Vulnerability from cvelistv5 – Published: 2022-11-22 00:00 – Updated: 2025-04-23 16:36
VLAI
Title
Fastify vulnerable to Cross-Site Request Forgery (CSRF) attack via incorrect content type
Summary
Fastify is a web framework with minimal overhead and plugin architecture. The attacker can use the incorrect `Content-Type` to bypass the `Pre-Flight` checking of `fetch`. `fetch()` requests with Content-Type’s essence as "application/x-www-form-urlencoded", "multipart/form-data", or "text/plain", could potentially be used to invoke routes that only accepts `application/json` content type, thus bypassing any CORS protection, and therefore they could lead to a Cross-Site Request Forgery attack. This issue has been patched in version 4.10.2 and 3.29.4. As a workaround, implement Cross-Site Request Forgery protection using `@fastify/csrf'.
SSVC
Exploitation: none Automatable: no Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2025-04-23 13:54 UTC
CWE
  • CWE-352 - Cross-Site Request Forgery (CSRF)
Impacted products
Vendor Product Version CPE status
fastify fastify Affected: >= 4.0.0, < 4.10.2
Affected: >= 3.0.0, < 3.29.4
guessed Create a notification for this product.
Show details on NVD website

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            "dateUpdated": "2022-11-22T00:00:00.000Z",
            "orgId": "a0819718-46f1-4df5-94e2-005712e83aaa",
            "shortName": "GitHub_M"
          },
          "references": [
            {
              "url": "https://github.com/fastify/fastify/security/advisories/GHSA-3fjj-p79j-c9hh"
            },
            {
              "url": "https://github.com/fastify/fastify/commit/62dde76f1f7aca76e38625fe8d983761f26e6fc9"
            },
            {
              "url": "https://www.npmjs.com/package/%40fastify/csrf"
            }
          ],
          "source": {
            "advisory": "GHSA-3fjj-p79j-c9hh",
            "discovery": "UNKNOWN"
          },
          "title": "Fastify vulnerable to Cross-Site Request Forgery (CSRF) attack via incorrect content type"
        }
      },
      "cveMetadata": {
        "assignerOrgId": "a0819718-46f1-4df5-94e2-005712e83aaa",
        "assignerShortName": "GitHub_M",
        "cveId": "CVE-2022-41919",
        "datePublished": "2022-11-22T00:00:00.000Z",
        "dateReserved": "2022-09-30T00:00:00.000Z",
        "dateUpdated": "2025-04-23T16:36:24.268Z",
        "state": "PUBLISHED"
      },
      "dataType": "CVE_RECORD",
      "dataVersion": "5.1"
    }
  }
}



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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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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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