CVE-2026-14621 (GCVE-0-2026-14621)

Vulnerability from cvelistv5 – Published: 2026-07-04 08:15 – Updated: 2026-07-04 08:15
VLAI
Title
FederatedAI FATE OSX Broker QueuePushReqStreamObserver.java QueuePushReqStreamObserver.initEggroll wrong session
Summary
A vulnerability has been found in FederatedAI FATE up to 2.2.0. This affects the function QueuePushReqStreamObserver.initEggroll of the file java/osx/osx-broker/src/main/java/org/fedai/osx/broker/grpc/QueuePushReqStreamObserver.java of the component OSX Broker. Such manipulation of the argument rollSiteSessionId/dstRole/dstPartyId leads to exposure of data element to wrong session. The attack can be executed remotely. A high complexity level is associated with this attack. It is indicated that the exploitability is difficult. The exploit has been disclosed to the public and may be used. The pull request to fix this issue awaits acceptance.
CWE
  • CWE-488 - Exposure of Data Element to Wrong Session
Assigner
References
Impacted products
Vendor Product Version
FederatedAI FATE Affected: 2.0
Affected: 2.1
Affected: 2.2.0
    cpe:2.3:a:federatedai:fate:*:*:*:*:*:*:*:*
Create a notification for this product.
Credits
Dem00000 (VulDB User) VulDB CNA Team
Show details on NVD website

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            "cpe:2.3:a:federatedai:fate:*:*:*:*:*:*:*:*"
          ],
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          ],
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          "vendor": "FederatedAI",
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              "version": "2.0"
            },
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        }
      ],
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          "tags": [
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          "tags": [
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        },
        {
          "name": "Submit #844900 | FederatedAI FATE (OSX Broker) 5a06d9e4c4cd7ab97a5c8357828adbffaca87785 Improper Isolation / Cross-Tenant Data Exposure",
          "tags": [
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          "url": "https://github.com/FederatedAI/FATE/issues/5791"
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          "url": "https://github.com/FederatedAI/FATE/pull/5792"
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        {
          "lang": "en",
          "time": "2026-07-03T18:57:38.000Z",
          "value": "VulDB entry last update"
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      ],
      "title": "FederatedAI FATE OSX Broker QueuePushReqStreamObserver.java QueuePushReqStreamObserver.initEggroll wrong session"
    }
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    "dateReserved": "2026-07-03T16:52:34.586Z",
    "dateUpdated": "2026-07-04T08:15:08.912Z",
    "state": "PUBLISHED"
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  }
}


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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

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Nomenclature

  • Seen: The vulnerability was mentioned, discussed, or observed by the user.
  • Confirmed: The vulnerability has been validated from an analyst's perspective.
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