CVE-2026-102145 (GCVE-0-2026-102145)

Vulnerability from cvelistv5 – Published: 2026-09-30 20:08 – Updated: 2026-09-30 20:08
VLAI
Title
Kiteworks Core Server-Side Request Forgery through CRLF Injection
Summary
An authenticated administrator could cause the server to issue requests to, and interact with, internal network services that are not meant to be reachable through this interface. On its own this did not result in code execution.
CWE
  • CWE-93 - Improper Neutralization of CRLF Sequences ('CRLF Injection')
Impacted products
Vendor Product Version CPE status
Kiteworks Core Affected: 0 , < 9.5.1 (custom)
Unaffected: 9.5.1
guessed Create a notification for this product.
Date Public
2026-09-30 00:00
Show details on NVD website

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          "vendor": "Kiteworks",
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          ]
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      ],
      "credits": [
        {
          "lang": "en",
          "value": "Supr4s, https://yeswehack.com/hunters/supr4s"
        },
        {
          "lang": "en",
          "value": "wlayzz, https://yeswehack.com/hunters/wlayzz"
        },
        {
          "lang": "en",
          "value": "Icare, https://yeswehack.com/hunters/icare"
        },
        {
          "lang": "en",
          "value": "truff, https://yeswehack.com/hunters/truff"
        }
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            "attackVector": "NETWORK",
            "availabilityImpact": "LOW",
            "baseScore": 6.6,
            "baseSeverity": "MEDIUM",
            "confidentialityImpact": "LOW",
            "integrityImpact": "LOW",
            "privilegesRequired": "HIGH",
            "scope": "CHANGED",
            "userInteraction": "NONE",
            "vectorString": "CVSS:3.1/AV:N/AC:L/PR:H/UI:N/S:C/C:L/I:L/A:L",
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          }
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      "problemTypes": [
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        },
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    "dateReserved": "2026-09-28T17:39:13.564Z",
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    "state": "PUBLISHED"
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          }
        ],
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        "lastModified": "2026-10-01T02:17:43.350",
        "metrics": {
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        "vulnStatus": "Awaiting Analysis",
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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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