FKIE_CVE-2026-50630

Vulnerability from fkie_nvd - Published: 2026-06-12 10:16 - Updated: 2026-06-12 19:04
Summary
A CRLF injection vulnerability exists in the OAuth2 AuthorizationUtils class. When constructing the WWW-Authenticate response header, the 'realm' parameter is concatenated without sanitizing Carriage Return (CR) and Line Feed (LF) characters. If an attacker can control the realm value, they can inject arbitrary HTTP headers or split the HTTP response entirely. Users are recommended to upgrade to versions 4.2.2 or 4.1.7, which fixes this issue.
Impacted products
Vendor Product Version
apache cxf *
apache cxf *

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  "descriptions": [
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      "lang": "en",
      "value": "A CRLF injection vulnerability exists in the OAuth2 AuthorizationUtils class. When constructing the WWW-Authenticate response header, the \u0027realm\u0027 parameter is concatenated without sanitizing Carriage Return (CR) and Line Feed (LF) characters. If an attacker can control the realm value, they can inject arbitrary HTTP headers or split the HTTP response entirely.\u00a0Users are recommended to upgrade to versions 4.2.2 or 4.1.7, which fixes this issue."
    }
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  "id": "CVE-2026-50630",
  "lastModified": "2026-06-12T19:04:00.513",
  "metrics": {
    "cvssMetricV31": [
      {
        "cvssData": {
          "attackComplexity": "LOW",
          "attackVector": "NETWORK",
          "availabilityImpact": "NONE",
          "baseScore": 6.5,
          "baseSeverity": "MEDIUM",
          "confidentialityImpact": "LOW",
          "integrityImpact": "LOW",
          "privilegesRequired": "NONE",
          "scope": "UNCHANGED",
          "userInteraction": "NONE",
          "vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:L/A:N",
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        "source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
        "type": "Secondary"
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  "published": "2026-06-12T10:16:22.950",
  "references": [
    {
      "source": "security@apache.org",
      "tags": [
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          "value": "CWE-113"
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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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  • Seen: The vulnerability was mentioned, discussed, or observed by the user.
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