Vulnerability Database

401,687

Total vulnerabilities in the database

CVE-2026-53059 — linux / linux_kernel

Integer Overflow or Wraparound

In the Linux kernel, the following vulnerability has been resolved:

dm log: fix out-of-bounds write due to region_count overflow

The local variable region_count in create_log_context() is declared as unsigned int (32-bit), but dm_sector_div_up() returns sector_t (64-bit). When a device-mapper target has a sufficiently large ti->len with a small region_size, the division result can exceed UINT_MAX. The truncated value is then used to calculate bitset_size, causing clean_bits, sync_bits, and recovering_bits to be allocated far smaller than needed for the actual number of regions.

Subsequent log operations (log_set_bit, log_clear_bit, log_test_bit) use region indices derived from the full untruncated region space, causing out-of-bounds writes to kernel heap memory allocated by vmalloc.

This can be reproduced by creating a mirror target whose region_count overflows 32 bits:

dmsetup create bigzero --table '0 8589934594 zero' dmsetup create mymirror --table '0 8589934594 mirror
core 2 2 nosync 2 /dev/mapper/bigzero 0
/dev/mapper/bigzero 0'

The status output confirms the truncation (sync_count=1 instead of 4294967297, because 0x100000001 was truncated to 1):

$ dmsetup status mymirror 0 8589934594 mirror 2 254:1 254:1 1/4294967297 ...

This leads to a kernel crash in core_in_sync:

BUG: scheduling while atomic: (udev-worker)/9150/0x00000000 RIP: 0010:core_in_sync+0x14/0x30 [dm_log] CR2: 0000000000000008 Fixing recursive fault but reboot is needed!

Fix by widening the local region_count to sector_t and adding an explicit overflow check before the value is assigned to lc->region_count.

  • Published: Jun 24, 2026
  • Updated: Oct 17, 2026
  • CVE: CVE-2026-53059
  • Severity: High
  • Exploit:
  • CISA KEV:

CVSS v3:

  • Severity: High
  • Score: 7.8
  • AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
Software Affected versions
linux / linux_kernel >= 2.6.12.1, < 5.10.258
linux / linux_kernel >= 5.11, < 5.15.209
linux / linux_kernel >= 5.16, < 6.1.175
linux / linux_kernel >= 6.2, < 6.6.141
linux / linux_kernel >= 6.7, < 6.12.91
linux / linux_kernel >= 6.13, < 6.18.33
linux / linux_kernel >= 6.19, < 7.0.10
linux / linux_kernel = 2.6.12
linux / linux_kernel = 2.6.12-rc2
linux / linux_kernel = 2.6.12-rc3
linux / linux_kernel = 2.6.12-rc4
linux / linux_kernel = 2.6.12-rc5

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A security vulnerability is a weakness in software, hardware, or configuration that can be exploited to compromise confidentiality, integrity, or availability. Many vulnerabilities are tracked as CVEs (Common Vulnerabilities and Exposures), which provide a standardized identifier so teams can coordinate patching, mitigation, and risk assessment across tools and vendors.

CVSS (Common Vulnerability Scoring System) estimates technical severity, but it doesn't automatically equal business risk. Prioritize using context like internet exposure, affected asset criticality, known exploitation (proof-of-concept or in-the-wild), and whether compensating controls exist. A "Medium" CVSS on an exposed, production system can be more urgent than a "Critical" on an isolated, non-production host.

A vulnerability is the underlying weakness. An exploit is the method or code used to take advantage of it. A zero-day is a vulnerability that is unknown to the vendor or has no publicly available fix when attackers begin using it. In practice, risk increases sharply when exploitation becomes reliable or widespread.

Recurring findings usually come from incomplete Asset Discovery, inconsistent patch management, inherited images, and configuration drift. In modern environments, you also need to watch the software supply chain: dependencies, containers, build pipelines, and third-party services can reintroduce the same weakness even after you patch a single host. Unknown or unmanaged assets (often called Shadow IT) are a common reason the same issues resurface.

Use a simple, repeatable triage model: focus first on externally exposed assets, high-value systems (identity, VPN, email, production), vulnerabilities with known exploits, and issues that enable remote code execution or privilege escalation. Then enforce patch SLAs and track progress using consistent metrics so remediation is steady, not reactive.

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