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CVE-2026-46051 (GCVE-0-2026-46051)

Vulnerability from cvelistv5 – Published: 2026-05-27 12:57 – Updated: 2026-06-14 17:50
VLAI
Title
md/raid5: fix soft lockup in retry_aligned_read()
Summary
In the Linux kernel, the following vulnerability has been resolved: md/raid5: fix soft lockup in retry_aligned_read() When retry_aligned_read() encounters an overlapped stripe, it releases the stripe via raid5_release_stripe() which puts it on the lockless released_stripes llist. In the next raid5d loop iteration, release_stripe_list() drains the stripe onto handle_list (since STRIPE_HANDLE is set by the original IO), but retry_aligned_read() runs before handle_active_stripes() and removes the stripe from handle_list via find_get_stripe() -> list_del_init(). This prevents handle_stripe() from ever processing the stripe to resolve the overlap, causing an infinite loop and soft lockup. Fix this by using __release_stripe() with temp_inactive_list instead of raid5_release_stripe() in the failure path, so the stripe does not go through the released_stripes llist. This allows raid5d to break out of its loop, and the overlap will be resolved when the stripe is eventually processed by handle_stripe().
Impacted products
Vendor Product Version CPE status
Linux Linux Affected: 773ca82fa1ee58dd1bf88b6a5ca385ec83a2cac6 , < 66df9f30673db66ac35145820a8e24906069ae57 (git)
Affected: 773ca82fa1ee58dd1bf88b6a5ca385ec83a2cac6 , < 4166d5234fe8b6c3c7f796a6c198605356c5b355 (git)
Affected: 773ca82fa1ee58dd1bf88b6a5ca385ec83a2cac6 , < a9055300e07d9d6800264d3c2560e1d0144689ca (git)
Affected: 773ca82fa1ee58dd1bf88b6a5ca385ec83a2cac6 , < 09880592f5a9dc73377d6eb5ac123537b5f8df49 (git)
Affected: 773ca82fa1ee58dd1bf88b6a5ca385ec83a2cac6 , < 80fc6ca2cbde018d52e13f305edcd643911bd94b (git)
Affected: 773ca82fa1ee58dd1bf88b6a5ca385ec83a2cac6 , < 1985cb3247e87ff6b8ca4bc5f9626f4f51024507 (git)
Affected: 773ca82fa1ee58dd1bf88b6a5ca385ec83a2cac6 , < 883cc33b7af1c448663287f069ef9dfea001e90f (git)
Affected: 773ca82fa1ee58dd1bf88b6a5ca385ec83a2cac6 , < 7f9f7c697474268d9ef9479df3ddfe7cdcfbbffc (git)
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Linux Linux Affected: 3.12
Unaffected: 0 , < 3.12 (semver)
Unaffected: 5.10.258 , ≤ 5.10.* (semver)
Unaffected: 5.15.209 , ≤ 5.15.* (semver)
Unaffected: 6.1.175 , ≤ 6.1.* (semver)
Unaffected: 6.6.140 , ≤ 6.6.* (semver)
Unaffected: 6.12.86 , ≤ 6.12.* (semver)
Unaffected: 6.18.27 , ≤ 6.18.* (semver)
Unaffected: 7.0.4 , ≤ 7.0.* (semver)
Unaffected: 7.1 , ≤ * (original_commit_for_fix)
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Show details on NVD website

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      "product_status:first_fixed": "2",
      "product_status:known_affected": "645",
      "product_status:known_not_affected": "4",
      "product_status:recommended": "277",
      "source": "SUSE CSAF VEX",
      "status": "interim",
      "title": "SUSE CVE CVE-2026-46051",
      "url": "https://ftp.suse.com/pub/projects/security/csaf-vex/cve-2026-46051.json",
      "version": "17"
    }
  }
}



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Tags
Taxonomy of the tags.


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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.

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.

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Detection rules are retrieved from Rulezet.

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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.


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