CVE-2026-15322 (GCVE-0-2026-15322)

Vulnerability from cvelistv5 – Published: 2026-07-17 19:35 – Updated: 2026-07-17 19:35
VLAI
Title
Multiple Vulnerabilities in IBM Engineering AI hub.
Summary
IBM Engineering AI Hub 1.0.0, 1.1.0, and 1.2.0 could allow a remote attacker to obtain sensitive information due to the exposure of session tokens in URLs.
CWE
  • CWE-598 - Use of HTTP Request With Sensitive Query String
Assigner
ibm
References
URL Tags
https://www.ibm.com/support/pages/node/7279964 vendor-advisorypatch
Impacted products
Vendor Product Version
IBM Engineering AI Hub Affected: 1.0.0
Affected: 1.1.0
Affected: 1.2.0
    cpe:2.3:a:ibm:engineering_ai_hub:1.0.0:*:*:*:*:*:*:*
    cpe:2.3:a:ibm:engineering_ai_hub:1.1.0:*:*:*:*:*:*:*
    cpe:2.3:a:ibm:engineering_ai_hub:1.2.0:*:*:*:*:*:*:*
Create a notification for this product.
Show details on NVD website

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            "cpe:2.3:a:ibm:engineering_ai_hub:1.1.0:*:*:*:*:*:*:*",
            "cpe:2.3:a:ibm:engineering_ai_hub:1.2.0:*:*:*:*:*:*:*"
          ],
          "product": "Engineering AI Hub",
          "vendor": "IBM",
          "versions": [
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              "status": "affected",
              "version": "1.0.0"
            },
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              "version": "1.1.0"
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          "cvssV3_1": {
            "attackComplexity": "LOW",
            "attackVector": "NETWORK",
            "availabilityImpact": "NONE",
            "baseScore": 7.5,
            "baseSeverity": "HIGH",
            "confidentialityImpact": "HIGH",
            "integrityImpact": "NONE",
            "privilegesRequired": "NONE",
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            "userInteraction": "NONE",
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        }
      ],
      "title": "Multiple Vulnerabilities in IBM Engineering AI hub.",
      "x_generator": {
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      }
    }
  },
  "cveMetadata": {
    "assignerOrgId": "9a959283-ebb5-44b6-b705-dcc2bbced522",
    "assignerShortName": "ibm",
    "cveId": "CVE-2026-15322",
    "datePublished": "2026-07-17T19:35:19.725Z",
    "dateReserved": "2026-07-09T18:13:22.722Z",
    "dateUpdated": "2026-07-17T19:35:19.725Z",
    "state": "PUBLISHED"
  },
  "dataType": "CVE_RECORD",
  "dataVersion": "5.2",
  "vulnerability-lookup:meta": {
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      "date": "2026-07-18",
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      "percentile": "0.40408"
    },
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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.

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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.
  • Published Proof of Concept: A public proof of concept is available for this vulnerability.
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