CVE-2026-53017 (GCVE-0-2026-53017)

Vulnerability from cvelistv5 – Published: 2026-06-24 16:29 – Updated: 2026-10-30 12:26
VLAI
Title
f2fs: fix data loss caused by incorrect use of nat_entry flag
Summary
In the Linux kernel, the following vulnerability has been resolved: f2fs: fix data loss caused by incorrect use of nat_entry flag Data loss can occur when fsync is performed on a newly created file (before any checkpoint has been written) concurrently with a checkpoint operation. The scenario is as follows: create & write & fsync 'file A' write checkpoint - f2fs_do_sync_file // inline inode - f2fs_write_inode // inode folio is dirty - f2fs_write_checkpoint - f2fs_flush_merged_writes - f2fs_sync_node_pages - f2fs_flush_nat_entries - f2fs_fsync_node_pages // no dirty node - f2fs_need_inode_block_update // return false SPO and lost 'file A' f2fs_flush_nat_entries() sets the IS_CHECKPOINTED and HAS_LAST_FSYNC flags for the nat_entry, but this does not mean that the checkpoint has actually completed successfully. However, f2fs_need_inode_block_update() checks these flags and incorrectly assumes that the checkpoint has finished. The root cause is that the semantics of IS_CHECKPOINTED and HAS_LAST_FSYNC are only guaranteed after the checkpoint write fully completes. This patch modifies f2fs_need_inode_block_update() to acquire the sbi->node_write lock before reading the nat_entry flags, ensuring that once IS_CHECKPOINTED and HAS_LAST_FSYNC are observed to be set, the checkpoint operation has already completed.
Assigner
Linux CNA under the mitre root
CNA scorecard D 53/100 over 7018 records in the last 180 days details
Impacted products
Vendor Product Version CPE status
Linux Linux Affected: e05df3b115e7308afbca652769b54e4549fcc723 , < eb65e8c7bd0a78a470cbdd3ff96232ba4a2ace89 (git)
Affected: e05df3b115e7308afbca652769b54e4549fcc723 , < 0645fa4d48e9b77d93f8b7a1c1fea58a97c2f8b0 (git)
Affected: e05df3b115e7308afbca652769b54e4549fcc723 , < 9fd3bcb54a6afea5fa8a828d010561143560b7c5 (git)
Affected: e05df3b115e7308afbca652769b54e4549fcc723 , < cb06a07d835ba1ea250785a796243bb483e65816 (git)
Affected: e05df3b115e7308afbca652769b54e4549fcc723 , < 20cedb4d9f6b230d0ee469690b8f868f06a07c29 (git)
Affected: e05df3b115e7308afbca652769b54e4549fcc723 , < 238e14eb7226f883b72caccd2d37bf5707df066b (git)
guessed Create a notification for this product.
Linux Linux Affected: 3.8
Unaffected: 0 , < 3.8 (semver)
Unaffected: 6.1.191 , ≤ 6.1.* (semver)
Unaffected: 6.6.160 , ≤ 6.6.* (semver)
Unaffected: 6.12.114 , ≤ 6.12.* (semver)
Unaffected: 6.18.57 , ≤ 6.18.* (semver)
Unaffected: 7.0.10 , ≤ 7.0.* (semver)
Unaffected: 7.1 , ≤ * (original_commit_for_fix)
guessed Create a notification for this product.
Show details on NVD website

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}



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How durations are calculated

Following the VTEM framework (Black Hat USA 2015), time to patch starts when the vendor or a coordinator was informed, total time to patch at discovery, and disclosure to patch at public disclosure; vendor response time runs from the report to its acknowledgement. Time to exploit and time unpatched start at the earliest discovery or report, falling back to public disclosure. Unpatched time ends at the first recorded patch, or the calculation time when no patch is recorded. Exploitation to patch shows the interval between those two events; a published proof of concept is a public exploit, not exploitation.

Each result shows its source dates. A negative interval means the end event came first; when date-only inputs leave the order open, the result says so. Date-only inputs are approximate. The earliest evidence wins: KEV report dates and sightings are labelled as such. Records describing another vulnerability are listed but never calculated from, and a PoC alone does not establish exploitation. Missing patch evidence does not prove that no patch exists. Filters below change the event list only.

Events included in the timeline

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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.