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CVE Vulnerability Database
Vulnerability Database/CVE-2026-3555

CVE-2026-3555: Philips Hue Bridge Heap Overflow RCE Flaw

CVE-2026-3555 is a heap-based buffer overflow vulnerability in Philips Hue Bridge that enables remote code execution via malicious Zigbee commands. This article covers technical details, affected versions, and mitigation.

Published: March 20, 2026

CVE-2026-3555 Overview

CVE-2026-3555 is a heap-based buffer overflow vulnerability in the Philips Hue Bridge Zigbee Stack that allows network-adjacent attackers to execute arbitrary code on affected devices. The vulnerability exists within the custom command handler responsible for processing Zigbee ZCL frames during the Model Info download functionality.

This vulnerability requires user interaction to exploit—specifically, the user must initiate the device pairing process. Once triggered, an attacker within network-adjacent range can leverage this flaw to execute code in the context of the affected device, potentially gaining full control over the Philips Hue Bridge and any connected smart home infrastructure.

Critical Impact

Network-adjacent attackers can achieve remote code execution on Philips Hue Bridge devices during the pairing process, potentially compromising entire smart home ecosystems.

Affected Products

  • Philips Hue Bridge (Zigbee Stack component)
  • Devices utilizing the vulnerable Zigbee ZCL frame handling functionality
  • Smart home installations connected to affected Philips Hue Bridge devices

Discovery Timeline

  • 2026-03-16 - CVE-2026-3555 published to NVD
  • 2026-03-16 - Last updated in NVD database

Technical Details for CVE-2026-3555

Vulnerability Analysis

The vulnerability resides in the Zigbee Cluster Library (ZCL) frame processing component of the Philips Hue Bridge firmware. When the device processes custom Zigbee commands during the Model Info download phase of device pairing, insufficient validation of incoming data size allows for a heap-based buffer overflow condition.

The flaw is classified as CWE-122 (Heap-based Buffer Overflow), indicating that attacker-controlled data can overflow a heap-allocated buffer, corrupting adjacent memory structures. This memory corruption can be weaponized to achieve arbitrary code execution within the device context.

The attack requires network adjacency (within Zigbee radio range) and user interaction (initiating device pairing), which limits opportunistic exploitation but remains viable for targeted attacks against smart home infrastructure.

Root Cause

The root cause is improper validation of the size of data received in custom Zigbee ZCL frames before copying it to a fixed-size heap buffer. The Model Info download functionality does not enforce appropriate boundary checks, allowing oversized payloads to overflow the allocated buffer space. This classic heap overflow pattern enables attackers to corrupt heap metadata or adjacent objects, facilitating control-flow hijacking.

Attack Vector

The attack vector is network-adjacent, meaning the attacker must be within Zigbee communication range of the target Philips Hue Bridge. The attack sequence involves:

  1. The attacker positions themselves within Zigbee radio range of the target bridge
  2. The victim initiates a device pairing process on the Hue Bridge
  3. The attacker injects maliciously crafted Zigbee ZCL frames with oversized Model Info data
  4. The vulnerable handler copies the oversized data into a fixed-size heap buffer
  5. The resulting heap corruption enables arbitrary code execution

The vulnerability exploitation mechanics involve crafting specific Zigbee frames that target the Model Info download functionality. Technical details regarding the specific frame structure and exploitation methodology can be found in the Zero Day Initiative Advisory ZDI-26-153.

Detection Methods for CVE-2026-3555

Indicators of Compromise

  • Unexpected Zigbee traffic patterns during device pairing operations
  • Anomalous ZCL frame sizes exceeding normal Model Info payload boundaries
  • Unusual device behavior or crashes following pairing attempts
  • Unauthorized firmware modifications or configuration changes on Hue Bridge devices

Detection Strategies

  • Monitor Zigbee network traffic for abnormally large ZCL frames targeting Model Info functionality
  • Implement network segmentation to isolate IoT devices and enable traffic analysis
  • Deploy IoT-specific security monitoring solutions capable of inspecting Zigbee protocol traffic
  • Enable logging on smart home hubs to capture pairing events and associated network activity

Monitoring Recommendations

  • Establish baseline Zigbee communication patterns for normal device pairing operations
  • Alert on ZCL frame payloads exceeding expected size thresholds
  • Monitor for unexpected outbound connections from Hue Bridge devices that may indicate compromise
  • Regularly audit connected Zigbee devices for unauthorized additions during pairing windows

How to Mitigate CVE-2026-3555

Immediate Actions Required

  • Avoid initiating device pairing processes until a security patch is available
  • Isolate Philips Hue Bridge devices on a separate network segment
  • Disable pairing mode when not actively adding new devices
  • Monitor for firmware updates from Philips addressing this vulnerability

Patch Information

At the time of publication, refer to Philips official security advisories for patch availability. The vulnerability was disclosed through the Zero Day Initiative program (ZDI-26-153), indicating coordinated disclosure with the vendor. Users should check the Philips Hue application and official support channels for firmware updates addressing this heap-based buffer overflow in the Zigbee stack.

Workarounds

  • Minimize the use of device pairing functionality until patches are applied
  • Ensure physical security of the premises to limit network-adjacent attack opportunities
  • Consider temporarily disconnecting Hue Bridge from critical home automation integrations
  • Implement network monitoring to detect potential exploitation attempts during necessary pairing operations

Organizations and home users should implement network segmentation best practices to isolate IoT devices:

bash
# Example: Network segmentation recommendation
# Create a dedicated VLAN for IoT devices
# Configure firewall rules to restrict IoT device communication
# Enable logging for cross-VLAN traffic monitoring
# Limit IoT network access to required services only

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

  • Vulnerability Details
  • TypeRCE

  • Vendor/TechPhilips Hue Bridge

  • SeverityHIGH

  • CVSS Score8.0

  • EPSS Probability0.06%

  • Known ExploitedNo
  • CVSS Vector
  • CVSS:3.0/AV:A/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H
  • Impact Assessment
  • ConfidentialityLow
  • IntegrityHigh
  • AvailabilityHigh
  • CWE References
  • CWE-122
  • Technical References
  • Zero Day Initiative Advisory ZDI-26-153
  • Related CVEs
  • CVE-2026-3556: Philips Hue Bridge HomeKit RCE Vulnerability

  • CVE-2026-3557: Philips Hue Bridge RCE Vulnerability

  • CVE-2020-6007: Philips Hue Bridge V2 RCE Vulnerability

  • CVE-2026-3562: Philips Hue Bridge Auth Bypass Vulnerability
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