CVE-2024-50920: n/a
Insecure permissions in Silicon Labs (SiLabs) Z-Wave Series 700 and 800 v7.21.1 allow attackers to create a fake node via supplying crafted packets.
AI Analysis
Technical Summary
CVE-2024-50920 is a vulnerability identified in Silicon Labs Z-Wave Series 700 and 800 firmware version 7.21.1, involving insecure permissions that permit attackers to create a fake node within the Z-Wave network by sending specially crafted packets. Z-Wave is a wireless communication protocol widely used in smart home and IoT devices for automation and control. The vulnerability stems from improper access control (CWE-281), allowing unauthenticated attackers to inject malicious nodes without requiring user interaction. The CVSS v3.1 score of 8.8 reflects a high-severity issue with network attack vector (AV:A), low attack complexity (AC:L), no privileges required (PR:N), no user interaction (UI:N), and high impact on confidentiality, integrity, and availability (C:H/I:H/A:H). Exploiting this flaw could enable attackers to impersonate legitimate devices, manipulate device states, intercept or alter communications, and disrupt network operations. Although no public exploits have been reported yet, the vulnerability poses a significant risk to the security and reliability of Z-Wave-based systems. The lack of available patches necessitates immediate defensive measures to mitigate potential exploitation.
Potential Impact
The vulnerability allows attackers to create fake nodes on Z-Wave networks, which can have severe consequences for organizations and consumers relying on these networks for smart home automation, security systems, and IoT device management. Confidentiality is at risk as attackers may intercept or manipulate sensitive data transmitted over the network. Integrity is compromised because attackers can alter device states or inject malicious commands, potentially causing unauthorized actions such as unlocking doors or disabling alarms. Availability is also threatened since fake nodes can disrupt normal network operations, leading to denial of service or degraded performance. For enterprises using Z-Wave in building automation or critical infrastructure monitoring, this could lead to operational disruptions and safety hazards. The widespread use of Z-Wave in consumer and commercial environments amplifies the potential scale of impact, making this a critical concern for device manufacturers, integrators, and end-users worldwide.
Mitigation Recommendations
1. Immediately segment Z-Wave networks from other critical network segments to limit exposure. 2. Restrict physical and network access to Z-Wave controllers and gateways to trusted personnel and devices only. 3. Monitor Z-Wave network traffic for anomalous node creation or unusual packet patterns indicative of exploitation attempts. 4. Implement strict device authentication and authorization policies where possible to prevent unauthorized node additions. 5. Engage with Silicon Labs and device vendors to obtain firmware updates or patches as soon as they become available. 6. Consider deploying intrusion detection systems tailored for IoT and Z-Wave protocols to detect and alert on suspicious activities. 7. Educate users and administrators about the risks of unauthorized device additions and encourage regular security audits of smart home and IoT environments. 8. For critical deployments, evaluate alternative communication protocols or additional security layers until the vulnerability is fully remediated.
Affected Countries
United States, Germany, United Kingdom, France, Japan, South Korea, China, Canada, Australia, Netherlands, Sweden, Italy, Spain
CVE-2024-50920: n/a
Description
Insecure permissions in Silicon Labs (SiLabs) Z-Wave Series 700 and 800 v7.21.1 allow attackers to create a fake node via supplying crafted packets.
AI-Powered Analysis
Machine-generated threat intelligence
Technical Analysis
CVE-2024-50920 is a vulnerability identified in Silicon Labs Z-Wave Series 700 and 800 firmware version 7.21.1, involving insecure permissions that permit attackers to create a fake node within the Z-Wave network by sending specially crafted packets. Z-Wave is a wireless communication protocol widely used in smart home and IoT devices for automation and control. The vulnerability stems from improper access control (CWE-281), allowing unauthenticated attackers to inject malicious nodes without requiring user interaction. The CVSS v3.1 score of 8.8 reflects a high-severity issue with network attack vector (AV:A), low attack complexity (AC:L), no privileges required (PR:N), no user interaction (UI:N), and high impact on confidentiality, integrity, and availability (C:H/I:H/A:H). Exploiting this flaw could enable attackers to impersonate legitimate devices, manipulate device states, intercept or alter communications, and disrupt network operations. Although no public exploits have been reported yet, the vulnerability poses a significant risk to the security and reliability of Z-Wave-based systems. The lack of available patches necessitates immediate defensive measures to mitigate potential exploitation.
Potential Impact
The vulnerability allows attackers to create fake nodes on Z-Wave networks, which can have severe consequences for organizations and consumers relying on these networks for smart home automation, security systems, and IoT device management. Confidentiality is at risk as attackers may intercept or manipulate sensitive data transmitted over the network. Integrity is compromised because attackers can alter device states or inject malicious commands, potentially causing unauthorized actions such as unlocking doors or disabling alarms. Availability is also threatened since fake nodes can disrupt normal network operations, leading to denial of service or degraded performance. For enterprises using Z-Wave in building automation or critical infrastructure monitoring, this could lead to operational disruptions and safety hazards. The widespread use of Z-Wave in consumer and commercial environments amplifies the potential scale of impact, making this a critical concern for device manufacturers, integrators, and end-users worldwide.
Mitigation Recommendations
1. Immediately segment Z-Wave networks from other critical network segments to limit exposure. 2. Restrict physical and network access to Z-Wave controllers and gateways to trusted personnel and devices only. 3. Monitor Z-Wave network traffic for anomalous node creation or unusual packet patterns indicative of exploitation attempts. 4. Implement strict device authentication and authorization policies where possible to prevent unauthorized node additions. 5. Engage with Silicon Labs and device vendors to obtain firmware updates or patches as soon as they become available. 6. Consider deploying intrusion detection systems tailored for IoT and Z-Wave protocols to detect and alert on suspicious activities. 7. Educate users and administrators about the risks of unauthorized device additions and encourage regular security audits of smart home and IoT environments. 8. For critical deployments, evaluate alternative communication protocols or additional security layers until the vulnerability is fully remediated.
Technical Details
- Data Version
- 5.1
- Assigner Short Name
- mitre
- Date Reserved
- 2024-10-28T00:00:00.000Z
- Cvss Version
- 3.1
- State
- PUBLISHED
Threat ID: 699f6ba2b7ef31ef0b5575f5
Added to database: 2/25/2026, 9:37:38 PM
Last enriched: 2/28/2026, 2:36:12 AM
Last updated: 4/12/2026, 1:57:00 PM
Views: 11
Community Reviews
0 reviewsCrowdsource mitigation strategies, share intel context, and vote on the most helpful responses. Sign in to add your voice and help keep defenders ahead.
Want to contribute mitigation steps or threat intel context? Sign in or create an account to join the community discussion.
Actions
Updates to AI analysis require Pro Console access. Upgrade inside Console → Billing.
External Links
Need more coverage?
Upgrade to Pro Console for AI refresh and higher limits.
For incident response and remediation, OffSeq services can help resolve threats faster.
Latest Threats
Check if your credentials are on the dark web
Instant breach scanning across billions of leaked records. Free tier available.