CVE-2025-54548: CWE-200 Exposure of Sensitive Information to an Unauthorized Actor in Arista Networks DANZ Monitoring Fabric
On affected platforms, restricted users could view sensitive portions of the config database via a debug API (e.g., user password hashes)
AI Analysis
Technical Summary
CVE-2025-54548 is a vulnerability identified in Arista Networks' DANZ Monitoring Fabric, a network monitoring and traffic analysis product widely used in enterprise and service provider environments. The flaw arises from a debug API that inadvertently exposes sensitive portions of the configuration database to users with restricted privileges. Specifically, this exposure includes sensitive data such as user password hashes, which could be leveraged by attackers to escalate privileges or conduct offline password cracking attacks. The vulnerability is classified under CWE-200, indicating exposure of sensitive information to unauthorized actors. The CVSS v3.1 score is 4.3 (medium), with an attack vector of network (AV:N), low attack complexity (AC:L), requiring privileges (PR:L), no user interaction (UI:N), and impacting confidentiality only (C:L), with no effect on integrity or availability. Exploitation does not require user interaction but does require some level of authenticated access, which limits the attack surface to insiders or compromised accounts. No known exploits have been reported in the wild, and no patches have been published yet, indicating the need for proactive mitigation. The vulnerability could facilitate further attacks by revealing credential hashes, potentially enabling lateral movement or privilege escalation within affected networks.
Potential Impact
For European organizations, especially those in telecommunications, financial services, and critical infrastructure sectors relying on Arista Networks' DANZ Monitoring Fabric, this vulnerability poses a risk of sensitive information leakage. Exposure of password hashes can lead to credential compromise, enabling attackers to escalate privileges or move laterally within the network. While the vulnerability does not directly affect system integrity or availability, the confidentiality breach could undermine trust and compliance with data protection regulations such as GDPR. Organizations with large-scale network monitoring deployments may face increased risk if restricted users or insiders exploit this flaw. The absence of known exploits reduces immediate risk, but the potential for offline password cracking and subsequent attacks remains significant. This could lead to unauthorized access to sensitive network monitoring data or broader network compromise, impacting operational security and regulatory compliance.
Mitigation Recommendations
To mitigate this vulnerability, European organizations should immediately audit and restrict access to the debug API on Arista DANZ Monitoring Fabric devices, ensuring only fully trusted and necessary personnel have access. Network segmentation and strict access controls should be enforced to limit exposure of management interfaces. Monitoring and logging of API access should be enhanced to detect anomalous or unauthorized queries to the configuration database. Organizations should implement strong password policies and consider multi-factor authentication to reduce the risk of credential compromise. Until an official patch is released by Arista Networks, consider disabling or restricting the debug API functionality if feasible. Regularly check for vendor advisories and apply patches promptly once available. Additionally, conduct internal security assessments to identify any potential misuse of this vulnerability and review user privilege assignments to minimize the number of accounts with access to sensitive APIs.
Affected Countries
Germany, France, United Kingdom, Netherlands, Italy, Spain
CVE-2025-54548: CWE-200 Exposure of Sensitive Information to an Unauthorized Actor in Arista Networks DANZ Monitoring Fabric
Description
On affected platforms, restricted users could view sensitive portions of the config database via a debug API (e.g., user password hashes)
AI-Powered Analysis
Technical Analysis
CVE-2025-54548 is a vulnerability identified in Arista Networks' DANZ Monitoring Fabric, a network monitoring and traffic analysis product widely used in enterprise and service provider environments. The flaw arises from a debug API that inadvertently exposes sensitive portions of the configuration database to users with restricted privileges. Specifically, this exposure includes sensitive data such as user password hashes, which could be leveraged by attackers to escalate privileges or conduct offline password cracking attacks. The vulnerability is classified under CWE-200, indicating exposure of sensitive information to unauthorized actors. The CVSS v3.1 score is 4.3 (medium), with an attack vector of network (AV:N), low attack complexity (AC:L), requiring privileges (PR:L), no user interaction (UI:N), and impacting confidentiality only (C:L), with no effect on integrity or availability. Exploitation does not require user interaction but does require some level of authenticated access, which limits the attack surface to insiders or compromised accounts. No known exploits have been reported in the wild, and no patches have been published yet, indicating the need for proactive mitigation. The vulnerability could facilitate further attacks by revealing credential hashes, potentially enabling lateral movement or privilege escalation within affected networks.
Potential Impact
For European organizations, especially those in telecommunications, financial services, and critical infrastructure sectors relying on Arista Networks' DANZ Monitoring Fabric, this vulnerability poses a risk of sensitive information leakage. Exposure of password hashes can lead to credential compromise, enabling attackers to escalate privileges or move laterally within the network. While the vulnerability does not directly affect system integrity or availability, the confidentiality breach could undermine trust and compliance with data protection regulations such as GDPR. Organizations with large-scale network monitoring deployments may face increased risk if restricted users or insiders exploit this flaw. The absence of known exploits reduces immediate risk, but the potential for offline password cracking and subsequent attacks remains significant. This could lead to unauthorized access to sensitive network monitoring data or broader network compromise, impacting operational security and regulatory compliance.
Mitigation Recommendations
To mitigate this vulnerability, European organizations should immediately audit and restrict access to the debug API on Arista DANZ Monitoring Fabric devices, ensuring only fully trusted and necessary personnel have access. Network segmentation and strict access controls should be enforced to limit exposure of management interfaces. Monitoring and logging of API access should be enhanced to detect anomalous or unauthorized queries to the configuration database. Organizations should implement strong password policies and consider multi-factor authentication to reduce the risk of credential compromise. Until an official patch is released by Arista Networks, consider disabling or restricting the debug API functionality if feasible. Regularly check for vendor advisories and apply patches promptly once available. Additionally, conduct internal security assessments to identify any potential misuse of this vulnerability and review user privilege assignments to minimize the number of accounts with access to sensitive APIs.
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: 69029c9ff29b216d6d6a4c76
Added to database: 10/29/2025, 11:00:47 PM
Last enriched: 11/6/2025, 2:20:01 AM
Last updated: 12/12/2025, 10:20:21 AM
Views: 75
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