CVE-2025-9290: Omada Network Devices Auth Bypass Flaw

CVE-2025-9290 Overview

An authentication weakness was identified in Omada Controllers, Gateways and Access Points affecting the controller-device adoption process due to improper handling of random values. This vulnerability stems from the use of predictable random values during the device authentication and adoption workflow, classified under CWE-760 (Use of a One-Way Hash with a Predictable Salt).

Exploitation requires advanced network positioning within an adjacent network segment, allowing an attacker to intercept adoption traffic and forge valid authentication through offline precomputation. Successful exploitation could potentially expose sensitive information and compromise the confidentiality of the affected network infrastructure.

Critical Impact

Attackers with adjacent network access can intercept device adoption traffic and forge authentication credentials through offline precomputation, potentially gaining unauthorized access to network management infrastructure.

Affected Products

• Omada Controllers
• Omada Gateways
• Omada Access Points

Discovery Timeline

• 2026-01-23 - CVE CVE-2025-9290 published to NVD
• 2026-01-26 - Last updated in NVD database

Technical Details for CVE-2025-9290

Vulnerability Analysis

This vulnerability exists within the controller-device adoption mechanism used by Omada network infrastructure. The authentication process relies on random values that are generated using a predictable algorithm or with insufficient entropy, making them susceptible to precomputation attacks.

When devices are adopted by the Omada Controller, they establish trust through an authentication exchange. The weakness in random value generation means an attacker positioned on an adjacent network can observe adoption traffic patterns and predict the authentication tokens. By performing offline precomputation of potential authentication values, an attacker can forge valid credentials without requiring extensive real-time computational resources.

The adjacent network attack vector requirement means the attacker must have local network proximity to the target infrastructure, which provides some limitation on exploitability. However, in environments where network segmentation is weak or where attackers have established an initial foothold, this vulnerability could facilitate lateral movement and unauthorized access to network management functions.

Root Cause

The root cause is the use of a one-way hash with a predictable salt (CWE-760) in the authentication mechanism. When cryptographic operations use predictable or insufficiently random salt values, attackers can precompute hash tables (rainbow tables) or use similar techniques to reverse the authentication process. This fundamentally undermines the security properties that the authentication mechanism is designed to provide.

Attack Vector

The attack requires adjacent network positioning, meaning the attacker must be on the same local network segment as the Omada infrastructure. The attacker performs the following attack sequence:

1. Network Positioning: The attacker establishes presence on an adjacent network segment where they can observe traffic between Omada Controllers and managed devices
2. Traffic Interception: During device adoption events, the attacker captures the authentication exchange traffic
3. Offline Precomputation: Using knowledge of the predictable random value generation, the attacker precomputes valid authentication credentials
4. Credential Forgery: The attacker uses the precomputed values to forge valid authentication, potentially gaining unauthorized access to device management functions

No user interaction is required for exploitation, though the attacker needs specific network positioning and technical capability to perform the precomputation attack.

Detection Methods for CVE-2025-9290

Indicators of Compromise

• Unusual device adoption attempts from unexpected network segments or IP addresses
• Multiple failed authentication attempts followed by successful adoption from suspicious sources
• Anomalous traffic patterns during controller-device communication windows
• Unexpected configuration changes to access points or gateways

Detection Strategies

• Monitor network traffic for unusual adoption protocol exchanges, particularly from non-standard network locations
• Implement network intrusion detection rules to identify abnormal authentication patterns in Omada management traffic
• Enable comprehensive logging on Omada Controllers to capture all adoption events and authentication attempts
• Deploy network segmentation monitoring to detect traffic anomalies between management and user network segments

Monitoring Recommendations

• Configure alerts for device adoption events occurring outside of expected maintenance windows
• Implement baseline monitoring for normal controller-device communication patterns to identify deviations
• Review Omada Controller logs regularly for signs of unauthorized adoption attempts or authentication anomalies
• Monitor for reconnaissance activities that may precede exploitation attempts

How to Mitigate CVE-2025-9290

Immediate Actions Required

• Review and update Omada Controller firmware to the latest available version from the vendor
• Implement strict network segmentation to isolate management traffic from general user networks
• Limit physical and logical access to network segments where Omada devices communicate
• Audit all currently adopted devices to ensure no unauthorized devices have been added to the infrastructure

Patch Information

Omada Networks has released security guidance for this vulnerability. Administrators should consult the OmaDa Networks Document #114950 for detailed remediation instructions. Updated firmware and software can be obtained from the OmaDa Networks Download Page.

Workarounds

• Implement robust network segmentation to prevent unauthorized adjacent network access to management infrastructure
• Use VLANs to isolate controller-device adoption traffic from potentially compromised network segments
• Deploy additional network monitoring and intrusion detection on segments where Omada devices operate
• Consider implementing additional authentication controls at the network layer to supplement device adoption security

# Network segmentation example for Omada management traffic
# Isolate management VLAN to restrict adjacent network access
# Consult your network infrastructure documentation for specific implementation

# Example: Configure firewall rules to restrict adoption traffic
# Allow adoption traffic only from trusted management network
# Block adoption protocol ports from untrusted network segments