CVE-2022-50020
Unknown Unknown - Not Provided
BaseFortify

Publication date: 2025-06-18

Last updated on: 2025-11-13

Assigner: kernel.org

Description
In the Linux kernel, the following vulnerability has been resolved: ext4: avoid resizing to a partial cluster size This patch avoids an attempt to resize the filesystem to an unaligned cluster boundary. An online resize to a size that is not integral to cluster size results in the last iteration attempting to grow the fs by a negative amount, which trips a BUG_ON and leaves the fs with a corrupted in-memory superblock.
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Meta Information
Published
2025-06-18
Last Modified
2025-11-13
Generated
2026-05-07
AI Q&A
2025-06-18
EPSS Evaluated
2026-05-05
NVD
Affected Vendors & Products
Showing 7 associated CPEs
Vendor Product Version / Range
linux linux_kernel From 5.15.160 (inc) to 5.16 (inc)
linux linux_kernel From 5.15.160 (inc) to 5.16 (inc)
linux linux_kernel From 5.15.160 (inc) to 5.16 (inc)
linux linux_kernel From 5.15.160 (inc) to 5.16 (inc)
linux linux_kernel From 5.15.160 (inc) to 5.16 (inc)
linux linux_kernel From 5.15.160 (inc) to 5.16 (inc)
linux linux_kernel From 5.15.160 (inc) to 5.16 (inc)
Helpful Resources
Exploitability
CWE
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KEV
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CWE ID Description
CWE-1284 The product receives input that is expected to specify a quantity (such as size or length), but it does not validate or incorrectly validates that the quantity has the required properties.
Attack-Flow Graph
AI Powered Q&A
Can you explain this vulnerability to me?

This vulnerability occurs in the Linux kernel's ext4 filesystem when resizing the filesystem online to a size that is not aligned with the cluster size. The resize operation attempts to grow the filesystem by a negative amount, triggering a BUG_ON condition and resulting in a corrupted in-memory superblock.


How can this vulnerability impact me? :

The impact of this vulnerability is that the filesystem's in-memory superblock can become corrupted during an online resize operation to an unaligned size. This corruption can lead to filesystem instability or data integrity issues.


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