CVE-2025-39763 (GCVE-0-2025-39763)

Vulnerability from cvelistv5 – Published: 2025-09-11 16:52 – Updated: 2026-05-23 16:00
VLAI
Title
ACPI: APEI: send SIGBUS to current task if synchronous memory error not recovered
Summary
In the Linux kernel, the following vulnerability has been resolved: ACPI: APEI: send SIGBUS to current task if synchronous memory error not recovered If a synchronous error is detected as a result of user-space process triggering a 2-bit uncorrected error, the CPU will take a synchronous error exception such as Synchronous External Abort (SEA) on Arm64. The kernel will queue a memory_failure() work which poisons the related page, unmaps the page, and then sends a SIGBUS to the process, so that a system wide panic can be avoided. However, no memory_failure() work will be queued when abnormal synchronous errors occur. These errors can include situations like invalid PA, unexpected severity, no memory failure config support, invalid GUID section, etc. In such a case, the user-space process will trigger SEA again. This loop can potentially exceed the platform firmware threshold or even trigger a kernel hard lockup, leading to a system reboot. Fix it by performing a force kill if no memory_failure() work is queued for synchronous errors. [ rjw: Changelog edits ]
Severity
5.5 (Medium)
CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H
Assigner
Linux CNA under the mitre root
CNA scorecard D 53/100 over 6994 records in the last 180 days details
References
Impacted products
Vendor Product Version CPE status
Linux Linux Affected: 8fcc4ae6faf8b455eeef00bc9ae70744e3b0f462 , < 2fbc85da9ac9386bd89fcc94e0aadaea19d47784 (git)
Affected: 8fcc4ae6faf8b455eeef00bc9ae70744e3b0f462 , < 082735fbcdb6cd0cf20fbec94516ab2996f1cdd5 (git)
Affected: 8fcc4ae6faf8b455eeef00bc9ae70744e3b0f462 , < cfc9bc15bda6fd0c496cbe2c628564d4d7c332c1 (git)
Affected: 8fcc4ae6faf8b455eeef00bc9ae70744e3b0f462 , < af089e41811a1ad6a7b2b80e839a73ec4c3cecdd (git)
Affected: 8fcc4ae6faf8b455eeef00bc9ae70744e3b0f462 , < 3cb4f18797247985b0f51d5300f8cb6c78f343ea (git)
Affected: 8fcc4ae6faf8b455eeef00bc9ae70744e3b0f462 , < 79a5ae3c4c5eb7e38e0ebe4d6bf602d296080060 (git)
Affected: af02933d59bd1621a48d8b0b331cca9e530ba14b (git)
Affected: 5.4.69 , < 5.5 (semver)
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Linux Linux Affected: 5.8
Unaffected: 0 , < 5.8 (semver)
Unaffected: 6.1.164 , ≤ 6.1.* (semver)
Unaffected: 6.6.103 , ≤ 6.6.* (semver)
Unaffected: 6.12.43 , ≤ 6.12.* (semver)
Unaffected: 6.15.11 , ≤ 6.15.* (semver)
Unaffected: 6.16.2 , ≤ 6.16.* (semver)
Unaffected: 6.17 , ≤ * (original_commit_for_fix)
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            "value": "En el kernel de Linux, la siguiente vulnerabilidad ha sido resuelta:\n\nACPI: APEI: enviar SIGBUS a la tarea actual si el error de memoria s\u00edncrono no se recupera\n\nSi se detecta un error s\u00edncrono como resultado de que un proceso de espacio de usuario desencadene un error no corregido de 2 bits, la CPU tomar\u00e1 una excepci\u00f3n de error s\u00edncrono como una Aborto Externo S\u00edncrono (SEA) en Arm64. El kernel pondr\u00e1 en cola un trabajo de memory_failure() que envenena la p\u00e1gina relacionada, desmapea la p\u00e1gina y luego env\u00eda un SIGBUS al proceso, para que se pueda evitar un p\u00e1nico en todo el sistema.\n\nSin embargo, no se pondr\u00e1 en cola ning\u00fan trabajo de memory_failure() cuando ocurran errores s\u00edncronos anormales. Estos errores pueden incluir situaciones como PA inv\u00e1lida, gravedad inesperada, falta de soporte de configuraci\u00f3n de fallo de memoria, secci\u00f3n GUID inv\u00e1lida, etc. En tal caso, el proceso de espacio de usuario volver\u00e1 a desencadenar SEA. Este bucle puede exceder potencialmente el umbral del firmware de la plataforma o incluso desencadenar un bloqueo duro del kernel, lo que lleva a un reinicio del sistema.\n\nSolucionarlo realizando una eliminaci\u00f3n forzada si no se pone en cola ning\u00fan trabajo de memory_failure() para errores s\u00edncronos.\n\n[ rjw: Ediciones del registro de cambios ]"
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        "id": "CVE-2025-39763",
        "lastModified": "2026-10-19T21:10:00.160",
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        "vulnStatus": "Analyzed",
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    "redhat_vex": {
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      "current_release_date": "2026-06-30T01:19:52+00:00",
      "cve": "CVE-2025-39763",
      "id": "CVE-2025-39763",
      "initial_release_date": "2025-09-11T00:00:00+00:00",
      "product_status:known_affected": "274",
      "source": "Red Hat CSAF VEX",
      "status": "final",
      "title": "kernel: ACPI: APEI: send SIGBUS to current task if synchronous memory error not recovered",
      "url": "https://security.access.redhat.com/data/csaf/v2/vex/2025/cve-2025-39763.json",
      "version": "3"
    }
  }
}



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Taxonomy of the tags.




Drag nodes to arrange them. Double-click a related vulnerability to open it, or a source to visit its link. The Physics button on the left tunes the layout and the simulation; the legend at the bottom left hides or shows nodes by kind and by sighting type.

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

Author Source Type Date Other

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.
  • Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
  • Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
  • Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
  • Not confirmed: The user expressed doubt about the validity of the vulnerability.
  • Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.
Vulnerability timeline

Sightings and recorded dates, grouped by day · UTC

JSON

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    Related by attack behaviour

    Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.