CVE-2024-36027

May 30, 2024, 6:19 p.m.

None
No Score

Description

In the Linux kernel, the following vulnerability has been resolved: btrfs: zoned: do not flag ZEROOUT on non-dirty extent buffer Btrfs clears the content of an extent buffer marked as EXTENT_BUFFER_ZONED_ZEROOUT before the bio submission. This mechanism is introduced to prevent a write hole of an extent buffer, which is once allocated, marked dirty, but turns out unnecessary and cleaned up within one transaction operation. Currently, btrfs_clear_buffer_dirty() marks the extent buffer as EXTENT_BUFFER_ZONED_ZEROOUT, and skips the entry function. If this call happens while the buffer is under IO (with the WRITEBACK flag set, without the DIRTY flag), we can add the ZEROOUT flag and clear the buffer's content just before a bio submission. As a result: 1) it can lead to adding faulty delayed reference item which leads to a FS corrupted (EUCLEAN) error, and 2) it writes out cleared tree node on disk The former issue is previously discussed in [1]. The corruption happens when it runs a delayed reference update. So, on-disk data is safe. [1] https://lore.kernel.org/linux-btrfs/3f4f2a0ff1a6c818050434288925bdcf3cd719e5.1709124777.git.naohiro.aota@wdc.com/ The latter one can reach on-disk data. But, as that node is already processed by btrfs_clear_buffer_dirty(), that will be invalidated in the next transaction commit anyway. So, the chance of hitting the corruption is relatively small. Anyway, we should skip flagging ZEROOUT on a non-DIRTY extent buffer, to keep the content under IO intact.

Product(s) Impacted

Product Versions
Linux kernel
  • []
Linux Kernel
  • []

Weaknesses

Common security weaknesses mapped to this vulnerability.

Timeline

Published: May 30, 2024, 4:15 p.m.
Last Modified: May 30, 2024, 6:19 p.m.

Status : Awaiting Analysis

CVE has been recently published to the CVE List and has been received by the NVD.

More info

Source

416baaa9-dc9f-4396-8d5f-8c081fb06d67

*Disclaimer: Some vulnerabilities do not have an associated CPE. To enhance the data, we use AI to infer CPEs based on CVE details. This is an automated process and might not always be accurate.