CVE-2026-3557:
Philips Hue Bridge hap_pair_verify_handler Sub-TLV Parsing Heap-based Buffer Overflow Remote Code Execution Vulnerability. This vulnerability allows network-adjacent attackers to execute arbitrary code on affected installations of Philips Hue Bridge. Although authentication is required to exploit this vulnerability, the existing authentication mechanism can be bypassed. The specific flaw exists within the hap_pair_verify_handler function of the hk_hap service, which listens on TCP port 8080 by default. The issue results from the lack of proper validation of the length of user-supplied data prior to copying it to a heap-based buffer. An attacker can leverage this vulnerability to execute code in the context of root. Was ZDI-CAN-28337.
Score
A numerical rating that indicates how dangerous this vulnerability is.
8.0High- Published Date:Mar 13, 2026
- CISA KEV Date:*No Data*
- Industries Affected:20
Threat Predictions
- EPSS Score:0.1
- EPSS Percentile:33%
Exploitability
- Score:2.1
- Attack Vector:ADJACENT_NETWORK
- Attack Complexity:LOW
- Privileges Required:LOW
- User Interaction:NONE
- Scope:UNCHANGED
Impact
- Score:5.9
- Confidentiality Impact:HIGH
- Integrity Impact:HIGH
- Availability Impact:HIGH
Description Preview
Philips Hue Bridge hap_pair_verify_handler Sub-TLV Parsing Heap-based Buffer Overflow Remote Code Execution Vulnerability. This vulnerability allows network-adjacent attackers to execute arbitrary code on affected installations of Philips Hue Bridge. Although authentication is required to exploit this vulnerability, the existing authentication mechanism can be bypassed. The specific flaw exists within the hap_pair_verify_handler function of the hk_hap service, which listens on TCP port 8080 by default. The issue results from the lack of proper validation of the length of user-supplied data prior to copying it to a heap-based buffer. An attacker can leverage this vulnerability to execute code in the context of root. Was ZDI-CAN-28337.
Industries Affected
Below is a list of industries most commonly impacted or potentially at risk based on intelligence.
