CVE-2026-46062 (GCVE-0-2026-46062)

Vulnerability from cvelistv5 – Published: 2026-05-27 12:57 – Updated: 2026-08-05 12:29
VLAI
Title
ntfs3: fix integer overflow in run_unpack() volume boundary check
Summary
In the Linux kernel, the following vulnerability has been resolved: ntfs3: fix integer overflow in run_unpack() volume boundary check The volume boundary check `lcn + len > sbi->used.bitmap.nbits` uses raw addition which can wrap around for large lcn and len values, bypassing the validation. Use check_add_overflow() as is already done for the adjacent prev_lcn + dlcn and vcn64 + len checks added by commit 3ac37e100385 ("ntfs3: Fix integer overflow in run_unpack()"). Found by fuzzing with a source-patched harness (LibAFL + QEMU).
Impacted products
Vendor Product Version CPE status
Linux Linux Affected: 82cae269cfa953032fbb8980a7d554d60fb00b17 , < 424858f9a048057bb8f834bfe03d18f5e477e747 (git)
Affected: 82cae269cfa953032fbb8980a7d554d60fb00b17 , < e73cd5aed6b15e55c1c47577bdb473b5e88d6a69 (git)
Affected: 82cae269cfa953032fbb8980a7d554d60fb00b17 , < a954061b334ec67c79ae9d0cadd83fa521396487 (git)
Affected: 82cae269cfa953032fbb8980a7d554d60fb00b17 , < 60dab3e2931f3d792438a77a6cb0cb731c43300b (git)
Affected: 82cae269cfa953032fbb8980a7d554d60fb00b17 , < f1af27cec07a9fd0847166bdb23c99e86b05bfdc (git)
Affected: 82cae269cfa953032fbb8980a7d554d60fb00b17 , < 6175d09c23bec4b60860ee9a0170308ff4b56e10 (git)
Affected: 82cae269cfa953032fbb8980a7d554d60fb00b17 , < 984a415f019536ea2d24de9010744e5302a9a948 (git)
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Linux Linux Affected: 5.15
Unaffected: 0 , < 5.15 (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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    "redhat_vex": {
      "aggregate_severity": "None",
      "current_release_date": "2026-06-28T11:07:10+00:00",
      "cve": "CVE-2026-46062",
      "id": "CVE-2026-46062",
      "initial_release_date": "2026-05-27T00:00:00+00:00",
      "product_status:known_not_affected": "274",
      "source": "Red Hat CSAF VEX",
      "status": "final",
      "title": "kernel: ntfs3: fix integer overflow in run_unpack() volume boundary check",
      "url": "https://security.access.redhat.com/data/csaf/v2/vex/2026/cve-2026-46062.json",
      "version": "3"
    },
    "suse_vex": {
      "aggregate_severity": "important",
      "current_release_date": "2026-08-27T16:56:09Z",
      "cve": "CVE-2026-46062",
      "id": "CVE-2026-46062",
      "initial_release_date": "2026-05-28T03:53:25Z",
      "product_status:known_not_affected": "299",
      "product_status:recommended": "4",
      "source": "SUSE CSAF VEX",
      "status": "interim",
      "title": "SUSE CVE CVE-2026-46062",
      "url": "https://ftp.suse.com/pub/projects/security/csaf-vex/cve-2026-46062.json",
      "version": "8"
    }
  }
}



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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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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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