FKIE_CVE-2026-23344

Vulnerability from fkie_nvd - Published: 2026-03-25 11:16 - Updated: 2026-04-24 18:17
Summary
In the Linux kernel, the following vulnerability has been resolved: crypto: ccp - Fix use-after-free on error path In the error path of sev_tsm_init_locked(), the code dereferences 't' after it has been freed with kfree(). The pr_err() statement attempts to access t->tio_en and t->tio_init_done after the memory has been released. Move the pr_err() call before kfree(t) to access the fields while the memory is still valid. This issue reported by Smatch static analyser

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      "lang": "en",
      "value": "In the Linux kernel, the following vulnerability has been resolved:\n\ncrypto: ccp - Fix use-after-free on error path\n\nIn the error path of sev_tsm_init_locked(), the code dereferences \u0027t\u0027\nafter it has been freed with kfree(). The pr_err() statement attempts\nto access t-\u003etio_en and t-\u003etio_init_done after the memory has been\nreleased.\n\nMove the pr_err() call before kfree(t) to access the fields while the\nmemory is still valid.\n\nThis issue reported by Smatch static analyser"
    },
    {
      "lang": "es",
      "value": "En el kernel de Linux, la siguiente vulnerabilidad ha sido resuelta:\n\ncrypto: ccp - Correcci\u00f3n de uso despu\u00e9s de liberaci\u00f3n en la ruta de error\n\nEn la ruta de error de sev_tsm_init_locked(), el c\u00f3digo desreferencia \u0027t\u0027 despu\u00e9s de que ha sido liberado con kfree(). La instrucci\u00f3n pr_err() intenta acceder a t-\u0026gt;tio_en y t-\u0026gt;tio_init_done despu\u00e9s de que la memoria ha sido liberada.\n\nMover la llamada a pr_err() antes de kfree(t) para acceder a los campos mientras la memoria a\u00fan es v\u00e1lida.\n\nEste problema reportado por el analizador est\u00e1tico Smatch"
    }
  ],
  "id": "CVE-2026-23344",
  "lastModified": "2026-04-24T18:17:48.577",
  "metrics": {
    "cvssMetricV31": [
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        "cvssData": {
          "attackComplexity": "LOW",
          "attackVector": "LOCAL",
          "availabilityImpact": "HIGH",
          "baseScore": 7.8,
          "baseSeverity": "HIGH",
          "confidentialityImpact": "HIGH",
          "integrityImpact": "HIGH",
          "privilegesRequired": "LOW",
          "scope": "UNCHANGED",
          "userInteraction": "NONE",
          "vectorString": "CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H",
          "version": "3.1"
        },
        "exploitabilityScore": 1.8,
        "impactScore": 5.9,
        "source": "nvd@nist.gov",
        "type": "Primary"
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  "published": "2026-03-25T11:16:32.493",
  "references": [
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      "source": "416baaa9-dc9f-4396-8d5f-8c081fb06d67",
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          "value": "CWE-416"
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      "source": "nvd@nist.gov",
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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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