CVE-2025-40199
Nov. 14, 2025, 4:42 p.m.
None
No Score
Description
In the Linux kernel, the following vulnerability has been resolved:
page_pool: Fix PP_MAGIC_MASK to avoid crashing on some 32-bit arches
Helge reported that the introduction of PP_MAGIC_MASK let to crashes on
boot on his 32-bit parisc machine. The cause of this is the mask is set
too wide, so the page_pool_page_is_pp() incurs false positives which
crashes the machine.
Just disabling the check in page_pool_is_pp() will lead to the page_pool
code itself malfunctioning; so instead of doing this, this patch changes
the define for PP_DMA_INDEX_BITS to avoid mistaking arbitrary kernel
pointers for page_pool-tagged pages.
The fix relies on the kernel pointers that alias with the pp_magic field
always being above PAGE_OFFSET. With this assumption, we can use the
lowest bit of the value of PAGE_OFFSET as the upper bound of the
PP_DMA_INDEX_MASK, which should avoid the false positives.
Because we cannot rely on PAGE_OFFSET always being a compile-time
constant, nor on it always being >0, we fall back to disabling the
dma_index storage when there are not enough bits available. This leaves
us in the situation we were in before the patch in the Fixes tag, but
only on a subset of architecture configurations. This seems to be the
best we can do until the transition to page types in complete for
page_pool pages.
v2:
- Make sure there's at least 8 bits available and that the PAGE_OFFSET
bit calculation doesn't wrap
Product(s) Impacted
| Product | Versions |
|---|---|
| linux_kernel |
|
| page_pool |
|
Weaknesses
Common security weaknesses mapped to this vulnerability.
Tags
Timeline
Published: Nov. 12, 2025, 10:15 p.m.
Last Modified: Nov. 14, 2025, 4:42 p.m.
Last Modified: Nov. 14, 2025, 4:42 p.m.
Status : Awaiting Analysis
CVE has been marked for Analysis. Normally once in this state the CVE will be analyzed by NVD staff within 24 hours.
More infoSource
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.