
Cloud Vulnerability DB
A community-led vulnerabilities database
CVE-2025-39735 is a vulnerability discovered in the Linux kernel affecting the JFS (Journaling File System) component, specifically in the ea_get() function. The vulnerability was disclosed on April 18, 2025, and affects various Linux distributions including Debian and Red Hat systems (NVD, Debian Tracker).
The vulnerability is a slab-out-of-bounds read in the ea_get() function within the JFS filesystem code. The issue occurs during the 'size_check' label in ea_get(), where the code checks if the extended attribute list (xattr) size matches ea_size. The vulnerability stems from EALIST_SIZE(ea_buf->xattr) returning 4110417968, which exceeds INT_MAX (2,147,483,647), leading to an integer overflow when the value is clamped using clamp_t(). This causes the 'size' variable to wrap around to a negative value (-184549328), which when passed to print_hex_dump() as an unsigned value, results in an out-of-bounds memory access (NVD).
The vulnerability allows for a slab-out-of-bounds read in the Linux kernel, which could potentially lead to information disclosure or system crashes. The issue affects multiple Linux distributions including Debian bookworm and bullseye releases (Debian Tracker).
The vulnerability requires local access to a system with a mounted JFS filesystem to be exploited. It can be triggered through manipulation of extended attributes in the filesystem (NVD).
The vulnerability has been fixed in various Linux distributions. Debian has released version 6.1.135-1 for the stable distribution (bookworm) to address this issue. Users are recommended to upgrade their Linux packages to the latest versions (Debian Security).
Fix availability across major Linux distributions and their releases.
bionic
linux
bionic (esm-infra)
linux-hwe-5.4: 5.4.0-218.238~18.04.1
bionic (fips-updates)
linux-fips
bionic (fips)
linux-fips
devel
linux
focal
linux-azure-fde-5.15
focal (esm-infra)
linux: 5.4.0-218.238
focal (fips-updates)
linux-fips: 5.4.0-1121.131
Source: This report was generated using AI
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