CVE-2025-54549: CWE-347 Improper Verification of Cryptographic Signature in Arista Networks DANZ Monitoring Fabric
Cryptographic validation of upgrade images could be circumventing by dropping a specifically crafted file into the upgrade ISO
AI Analysis
Technical Summary
CVE-2025-54549 is a vulnerability classified under CWE-347 (Improper Verification of Cryptographic Signature) affecting Arista Networks' DANZ Monitoring Fabric product. The issue arises because the cryptographic validation process for upgrade images can be circumvented by an attacker who drops a specifically crafted file into the upgrade ISO image. This crafted file causes the signature verification to be bypassed, allowing potentially malicious or unauthorized code to be introduced during the upgrade process. The vulnerability requires the attacker to have limited privileges on the system (local access) and user interaction to initiate the upgrade process. The CVSS 3.1 base score is 5.9, indicating medium severity, with attack vector local (AV:L), low attack complexity (AC:L), privileges required low (PR:L), user interaction required (UI:R), scope changed (S:C), no confidentiality impact (C:N), high integrity impact (I:H), and no availability impact (A:N). The scope change indicates that the vulnerability affects components beyond the initially vulnerable component, potentially impacting the entire system's integrity. No public exploits have been reported yet, and no patches are currently linked, suggesting that the vendor may still be working on a fix. The vulnerability could allow an attacker to introduce malicious code or modifications during software upgrades, undermining the trust in the upgrade process and potentially leading to persistent compromise or unauthorized control of the monitoring fabric infrastructure.
Potential Impact
For European organizations, especially those relying on Arista Networks' DANZ Monitoring Fabric for network monitoring and traffic analysis, this vulnerability poses a significant risk to the integrity of their network infrastructure. Successful exploitation could allow attackers to insert malicious code during software upgrades, potentially leading to unauthorized control or manipulation of network monitoring data. This could undermine incident detection, network visibility, and response capabilities. Critical sectors such as telecommunications, finance, energy, and government agencies that depend on reliable network monitoring are particularly at risk. The lack of confidentiality and availability impact reduces the risk of data leakage or service disruption directly, but the integrity compromise could facilitate further attacks or persistent threats within the network. The requirement for local access and user interaction limits the attack surface but does not eliminate risk, especially in environments with multiple administrators or less stringent access controls.
Mitigation Recommendations
1. Restrict upgrade privileges strictly to trusted administrators and enforce the principle of least privilege. 2. Implement multi-factor authentication for any administrative actions related to software upgrades. 3. Monitor upgrade processes closely for any anomalies or unexpected files within upgrade ISOs. 4. Use out-of-band verification methods to validate upgrade images, such as independent cryptographic checksums or signatures verified on separate systems. 5. Maintain strict physical and logical access controls to systems running DANZ Monitoring Fabric to prevent unauthorized local access. 6. Establish a process for immediate vendor communication and patch deployment once a fix is released. 7. Conduct regular audits of upgrade procedures and logs to detect any attempts to bypass signature verification. 8. Educate administrators about the risks of executing upgrades without verifying the integrity of upgrade files. 9. Consider network segmentation to limit the impact of any compromised monitoring fabric components. 10. Employ endpoint detection and response (EDR) tools to detect suspicious activities related to upgrade processes.
Affected Countries
Germany, France, United Kingdom, Netherlands, Italy, Spain
CVE-2025-54549: CWE-347 Improper Verification of Cryptographic Signature in Arista Networks DANZ Monitoring Fabric
Description
Cryptographic validation of upgrade images could be circumventing by dropping a specifically crafted file into the upgrade ISO
AI-Powered Analysis
Technical Analysis
CVE-2025-54549 is a vulnerability classified under CWE-347 (Improper Verification of Cryptographic Signature) affecting Arista Networks' DANZ Monitoring Fabric product. The issue arises because the cryptographic validation process for upgrade images can be circumvented by an attacker who drops a specifically crafted file into the upgrade ISO image. This crafted file causes the signature verification to be bypassed, allowing potentially malicious or unauthorized code to be introduced during the upgrade process. The vulnerability requires the attacker to have limited privileges on the system (local access) and user interaction to initiate the upgrade process. The CVSS 3.1 base score is 5.9, indicating medium severity, with attack vector local (AV:L), low attack complexity (AC:L), privileges required low (PR:L), user interaction required (UI:R), scope changed (S:C), no confidentiality impact (C:N), high integrity impact (I:H), and no availability impact (A:N). The scope change indicates that the vulnerability affects components beyond the initially vulnerable component, potentially impacting the entire system's integrity. No public exploits have been reported yet, and no patches are currently linked, suggesting that the vendor may still be working on a fix. The vulnerability could allow an attacker to introduce malicious code or modifications during software upgrades, undermining the trust in the upgrade process and potentially leading to persistent compromise or unauthorized control of the monitoring fabric infrastructure.
Potential Impact
For European organizations, especially those relying on Arista Networks' DANZ Monitoring Fabric for network monitoring and traffic analysis, this vulnerability poses a significant risk to the integrity of their network infrastructure. Successful exploitation could allow attackers to insert malicious code during software upgrades, potentially leading to unauthorized control or manipulation of network monitoring data. This could undermine incident detection, network visibility, and response capabilities. Critical sectors such as telecommunications, finance, energy, and government agencies that depend on reliable network monitoring are particularly at risk. The lack of confidentiality and availability impact reduces the risk of data leakage or service disruption directly, but the integrity compromise could facilitate further attacks or persistent threats within the network. The requirement for local access and user interaction limits the attack surface but does not eliminate risk, especially in environments with multiple administrators or less stringent access controls.
Mitigation Recommendations
1. Restrict upgrade privileges strictly to trusted administrators and enforce the principle of least privilege. 2. Implement multi-factor authentication for any administrative actions related to software upgrades. 3. Monitor upgrade processes closely for any anomalies or unexpected files within upgrade ISOs. 4. Use out-of-band verification methods to validate upgrade images, such as independent cryptographic checksums or signatures verified on separate systems. 5. Maintain strict physical and logical access controls to systems running DANZ Monitoring Fabric to prevent unauthorized local access. 6. Establish a process for immediate vendor communication and patch deployment once a fix is released. 7. Conduct regular audits of upgrade procedures and logs to detect any attempts to bypass signature verification. 8. Educate administrators about the risks of executing upgrades without verifying the integrity of upgrade files. 9. Consider network segmentation to limit the impact of any compromised monitoring fabric components. 10. Employ endpoint detection and response (EDR) tools to detect suspicious activities related to upgrade processes.
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: 69029c9ff29b216d6d6a4c73
Added to database: 10/29/2025, 11:00:47 PM
Last enriched: 11/6/2025, 2:20:16 AM
Last updated: 12/10/2025, 8:01:04 PM
Views: 71
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