Skip to main content
Vulnerability Database/CVE-2026-89939

CVE-2026-89939: Linux Kernel Privilege Escalation Vulnerability

CVE-2026-89939 is a privilege escalation flaw in the Linux kernel affecting the IIO chemical atlas-sensor driver with PM reference leak. This post explains its technical details, affected versions, and mitigation steps.

Published:

CVE-2026-89939 Overview

CVE-2026-89939 is a runtime power management (PM) reference leak in the Linux kernel's Industrial I/O (IIO) subsystem, specifically in the atlas-sensor chemical sensor driver. The atlas_buffer_postenable() function acquires a runtime PM reference through pm_runtime_resume_and_get() but returns the result of atlas_set_interrupt() directly. When atlas_set_interrupt() fails, the runtime PM reference is not released. This prevents the device from ever entering autosuspend, keeping the sensor powered indefinitely. The fix adds pm_runtime_put_autosuspend() on the error path to balance the reference count.

Critical Impact

A leaked runtime PM reference on the error path leaves the Atlas Scientific chemical sensor unable to autosuspend, causing sustained power draw and potential resource exhaustion on affected embedded systems.

Affected Products

  • Linux kernel drivers/iio/chemical/atlas-sensor.c
  • Systems using Atlas Scientific chemical sensors via the IIO framework
  • Multiple stable kernel branches referenced in the upstream commits

Discovery Timeline

  • 2026-09-16 - CVE-2026-89939 published to NVD
  • 2026-09-16 - Last updated in NVD database

Technical Details for CVE-2026-89939

Vulnerability Analysis

The defect resides in the buffer post-enable path of the Atlas Scientific chemical sensor driver within the Linux IIO subsystem. The function atlas_buffer_postenable() calls pm_runtime_resume_and_get() to synchronously resume the device and increment its usage counter. It then invokes atlas_set_interrupt() and returns that result without releasing the PM reference on failure.

When atlas_set_interrupt() returns an error, the runtime PM usage counter remains elevated. The kernel's runtime PM framework interprets a non-zero usage counter as an indication the device is actively in use. As a result, the device is prevented from transitioning into autosuspend and remains fully powered.

Repeated failed enable attempts compound the leak, permanently pinning the sensor into the active state. This is classified as a resource management defect impacting kernel power state consistency.

Root Cause

The root cause is missing error-path cleanup after a successful pm_runtime_resume_and_get() call. The function returns immediately with the error code from atlas_set_interrupt() without invoking pm_runtime_put_autosuspend() to decrement the PM usage counter.

Attack Vector

Exploitation requires local access to trigger buffer enable operations on the affected IIO device. There is no evidence of remote exploitation or code execution potential. The impact is limited to power management state corruption and denial of low-power operation on systems using the affected driver.

The vulnerability manifests only when atlas_set_interrupt() fails during buffer post-enable. See the upstream kernel commits referenced below for the exact code paths and patch diffs.

Detection Methods for CVE-2026-89939

Indicators of Compromise

  • Atlas Scientific IIO chemical sensors that fail to enter runtime suspend despite being idle.
  • Persistently elevated runtime_usage counters visible under /sys/devices/.../power/runtime_usage for the affected sensor device.
  • Repeated kernel log entries from the atlas-sensor driver indicating atlas_set_interrupt() failures without corresponding PM release messages.

Detection Strategies

  • Audit installed kernel versions against the fix commits published on git.kernel.org to identify unpatched systems.
  • Monitor IIO buffer enable/disable syscalls that return errors on Atlas sensor character devices.
  • Track runtime PM state transitions for iio:device* entries associated with the atlas-sensor driver to detect devices stuck in the active state.

Monitoring Recommendations

  • Enable kernel runtime PM debug logging via CONFIG_PM_DEBUG and inspect /sys/kernel/debug/pm_genpd/ on affected embedded platforms.
  • Correlate power telemetry from battery-powered or edge devices against sensor activity to identify anomalous sustained power draw.
  • Ingest kernel logs into a centralized logging or SIEM platform and alert on repeated atlas_buffer_postenable failure patterns.

How to Mitigate CVE-2026-89939

Immediate Actions Required

  • Apply the upstream fix by updating to a kernel version that includes the referenced stable commits from git.kernel.org.
  • Inventory embedded and industrial systems using Atlas Scientific chemical sensors and prioritize kernel updates on battery-powered devices.
  • Verify vendor-supplied kernels from device manufacturers include the corresponding backport before deployment.

Patch Information

The fix adds pm_runtime_put_autosuspend() on the error path in atlas_buffer_postenable() to release the PM reference when atlas_set_interrupt() fails. Patches are available in the following stable kernel commits: 43bce90, 72daa7e, 777e8eb, a595f4d, aedf8f0, bcd3f72, and c7e91ae.

Workarounds

  • Unload the atlas-sensor kernel module on systems that do not require Atlas Scientific chemical sensor functionality.
  • Avoid conditions that cause atlas_set_interrupt() to fail, such as unstable I2C bus configurations, by validating hardware wiring and interrupt-controller bindings in the device tree.
  • Manually toggle the sensor via /sys/bus/iio/devices/iio:device*/buffer/enable to zero and back to reset PM state after observed failures until a patched kernel is deployed.
bash
# Verify running kernel and check for the patched atlas-sensor driver
uname -r
modinfo atlas-sensor | grep -E 'filename|version|srcversion'

# Inspect runtime PM state for IIO devices
for dev in /sys/bus/iio/devices/iio:device*; do
  echo "$dev: $(cat $dev/name) usage=$(cat $dev/../power/runtime_usage 2>/dev/null)"
done

Disclaimer: This content was generated using AI. While we strive for accuracy, please verify critical information with official sources.

Experience the Most Advanced Cybersecurity Platform

See how the world’s most intelligent, autonomous cybersecurity platform can protect your organization today and into the future.