Silicon Labs EmberZNet up to 9.0.2 out-of-bounds

CVSS Meta Temp Score
CVSS is a standardized scoring system to determine possibilities of attacks. The Temp Score considers temporal factors like disclosure, exploit and countermeasures. The unique Meta Score calculates the average score of different sources to provide a normalized scoring system.
Current Exploit Price (≈)
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CTI Interest Score
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4.3$0-$5k0.62-

Summaryinfo

A vulnerability marked as problematic has been reported in Silicon Labs EmberZNet up to 9.0.2. Affected is an unknown function. This manipulation causes out-of-bounds. This vulnerability is tracked as CVE-2026-4526. The attack is possible to be carried out remotely. No exploit exists.

Detailsinfo

A vulnerability was found in Silicon Labs EmberZNet up to 9.0.2. It has been declared as problematic. Affected by this vulnerability is an unknown code. The manipulation with an unknown input leads to a out-of-bounds vulnerability. The CWE definition for the vulnerability is CWE-125. The product reads data past the end, or before the beginning, of the intended buffer. As an impact it is known to affect availability. The summary by CVE is:

In EmberZNet v9.0.2 and earlier, malformed global ZCL messages can trigger out-of-bounds reads in framework parsing logic and terminate the process. These messages must come from a device that has already joined the network, and no information leakage back to the sender was observed.

It is possible to read the advisory at siliconlabs.lightning.force.com. This vulnerability is known as CVE-2026-4526 since 03/20/2026. The exploitation appears to be easy. The attack can be launched remotely. The technical details are unknown and an exploit is not publicly available.

There is no information about possible countermeasures known. It may be suggested to replace the affected object with an alternative product.

Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.

Productinfo

Vendor

Name

Version

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔒
VulDB Reliability: 🔍

CNA CVSS-B Score: 🔒
CNA CVSS-BT Score: 🔒
CNA Vector: 🔒

CVSSv3info

VulDB Meta Base Score: 4.3
VulDB Meta Temp Score: 4.3

VulDB Base Score: 4.3
VulDB Temp Score: 4.3
VulDB Vector: 🔒
VulDB Reliability: 🔍

CVSSv2info

AVACAuCIA
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VectorComplexityAuthenticationConfidentialityIntegrityAvailability
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VulDB Base Score: 🔒
VulDB Temp Score: 🔒
VulDB Reliability: 🔍

Exploitinginfo

Class: Out-of-bounds
CWE: CWE-125 / CWE-119
CAPEC: 🔒
ATT&CK: 🔒

Physical: No
Local: No
Remote: Yes

Availability: 🔒
Status: Not defined
Price Prediction: 🔍
Current Price Estimation: 🔒

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Threat Intelligenceinfo

Interest: 🔍
Active Actors: 🔍
Active APT Groups: 🔍

Countermeasuresinfo

Recommended: no mitigation known
Status: 🔍

0-Day Time: 🔒

Timelineinfo

03/20/2026 CVE reserved
06/25/2026 +96 days Advisory disclosed
06/25/2026 +0 days VulDB entry created
06/25/2026 +0 days VulDB entry last update

Sourcesinfo

Advisory: siliconlabs.lightning.force.com
Status: Not defined

CVE: CVE-2026-4526 (🔒)
GCVE (CVE): GCVE-0-2026-4526
GCVE (VulDB): GCVE-100-373867

Entryinfo

Created: 06/25/2026 16:44
Changes: 06/25/2026 16:44 (64)
Complete: 🔍
Cache ID: 216::103

Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.

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