CVE-2025-54546: CWE-732 in Arista Networks DANZ Monitoring Fabric
On affected platforms, restricted users could use SSH port forwarding to access host-internal services
AI Analysis
Technical Summary
CVE-2025-54546 is a vulnerability identified in Arista Networks' DANZ Monitoring Fabric, a network monitoring solution widely used in data centers and enterprise environments. The flaw is categorized under CWE-732, which pertains to incorrect permission assignment or access control. Specifically, the vulnerability allows restricted users—those with limited privileges—to exploit SSH port forwarding capabilities to gain unauthorized access to internal host services that should otherwise be inaccessible. This bypass of access controls can lead to significant security breaches, including unauthorized data access, potential lateral movement within the network, and disruption of critical monitoring functions. The vulnerability requires the attacker to have at least low-level privileges on the system and involves a high attack complexity, meaning it is not trivially exploitable but feasible with sufficient knowledge and access. The CVSS v3.1 base score of 7.5 reflects the high impact on confidentiality, integrity, and availability, with network attack vector, no user interaction required, and privileges required. Although no exploits have been reported in the wild yet, the risk remains substantial due to the critical role of the affected product in network visibility and security monitoring. The affected versions are not explicitly detailed, but the vulnerability is recognized as published and assigned by Arista. The lack of available patches at the time of reporting necessitates immediate attention to access controls and SSH configurations to mitigate risk.
Potential Impact
For European organizations, the impact of CVE-2025-54546 could be severe, especially for those relying on Arista Networks' DANZ Monitoring Fabric for network monitoring and traffic analysis. Unauthorized access to internal host services via SSH port forwarding can lead to data breaches, exposure of sensitive network telemetry, and compromise of network security posture. Attackers could leverage this vulnerability to move laterally within the network, escalate privileges, or disrupt monitoring capabilities, potentially affecting critical infrastructure sectors such as finance, telecommunications, energy, and government. The confidentiality of internal communications and monitoring data is at risk, as is the integrity and availability of network monitoring functions that are essential for detecting and responding to other cyber threats. Given the interconnected nature of European networks and regulatory requirements like GDPR, exploitation could also result in significant compliance and reputational damage.
Mitigation Recommendations
Until an official patch is released by Arista Networks, European organizations should implement strict controls on SSH access to DANZ Monitoring Fabric devices. This includes disabling SSH port forwarding for users who do not require it, enforcing the principle of least privilege rigorously, and monitoring SSH sessions for unusual port forwarding activity. Network segmentation should be employed to isolate monitoring fabric devices from less trusted network segments. Additionally, organizations should audit and restrict user accounts with access to the affected systems, ensuring that only trusted administrators have SSH access. Implementing multi-factor authentication (MFA) for SSH access can further reduce risk. Continuous monitoring and logging of SSH connections and port forwarding attempts will help detect potential exploitation attempts early. Once patches become available, organizations must prioritize their deployment. Finally, updating incident response plans to include scenarios involving internal service access via compromised SSH tunnels will improve preparedness.
Affected Countries
Germany, France, United Kingdom, Netherlands, Sweden, Italy, Spain
CVE-2025-54546: CWE-732 in Arista Networks DANZ Monitoring Fabric
Description
On affected platforms, restricted users could use SSH port forwarding to access host-internal services
AI-Powered Analysis
Technical Analysis
CVE-2025-54546 is a vulnerability identified in Arista Networks' DANZ Monitoring Fabric, a network monitoring solution widely used in data centers and enterprise environments. The flaw is categorized under CWE-732, which pertains to incorrect permission assignment or access control. Specifically, the vulnerability allows restricted users—those with limited privileges—to exploit SSH port forwarding capabilities to gain unauthorized access to internal host services that should otherwise be inaccessible. This bypass of access controls can lead to significant security breaches, including unauthorized data access, potential lateral movement within the network, and disruption of critical monitoring functions. The vulnerability requires the attacker to have at least low-level privileges on the system and involves a high attack complexity, meaning it is not trivially exploitable but feasible with sufficient knowledge and access. The CVSS v3.1 base score of 7.5 reflects the high impact on confidentiality, integrity, and availability, with network attack vector, no user interaction required, and privileges required. Although no exploits have been reported in the wild yet, the risk remains substantial due to the critical role of the affected product in network visibility and security monitoring. The affected versions are not explicitly detailed, but the vulnerability is recognized as published and assigned by Arista. The lack of available patches at the time of reporting necessitates immediate attention to access controls and SSH configurations to mitigate risk.
Potential Impact
For European organizations, the impact of CVE-2025-54546 could be severe, especially for those relying on Arista Networks' DANZ Monitoring Fabric for network monitoring and traffic analysis. Unauthorized access to internal host services via SSH port forwarding can lead to data breaches, exposure of sensitive network telemetry, and compromise of network security posture. Attackers could leverage this vulnerability to move laterally within the network, escalate privileges, or disrupt monitoring capabilities, potentially affecting critical infrastructure sectors such as finance, telecommunications, energy, and government. The confidentiality of internal communications and monitoring data is at risk, as is the integrity and availability of network monitoring functions that are essential for detecting and responding to other cyber threats. Given the interconnected nature of European networks and regulatory requirements like GDPR, exploitation could also result in significant compliance and reputational damage.
Mitigation Recommendations
Until an official patch is released by Arista Networks, European organizations should implement strict controls on SSH access to DANZ Monitoring Fabric devices. This includes disabling SSH port forwarding for users who do not require it, enforcing the principle of least privilege rigorously, and monitoring SSH sessions for unusual port forwarding activity. Network segmentation should be employed to isolate monitoring fabric devices from less trusted network segments. Additionally, organizations should audit and restrict user accounts with access to the affected systems, ensuring that only trusted administrators have SSH access. Implementing multi-factor authentication (MFA) for SSH access can further reduce risk. Continuous monitoring and logging of SSH connections and port forwarding attempts will help detect potential exploitation attempts early. Once patches become available, organizations must prioritize their deployment. Finally, updating incident response plans to include scenarios involving internal service access via compromised SSH tunnels will improve preparedness.
Affected Countries
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Technical Details
- Data Version
- 5.2
- Assigner Short Name
- Arista
- Date Reserved
- 2025-07-24T18:47:24.387Z
- Cvss Version
- 3.1
- State
- PUBLISHED
Threat ID: 69029c9ff29b216d6d6a4c79
Added to database: 10/29/2025, 11:00:47 PM
Last enriched: 10/29/2025, 11:05:17 PM
Last updated: 10/30/2025, 3:47:31 PM
Views: 15
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