CVE-2020-1978 vulnerability in Palo Alto Networks Products
Published on April 8, 2020
VM-Series on Microsoft Azure: Inadvertent collection of credentials in Tech support files on HA configured VMs
TechSupport files generated on Palo Alto Networks VM Series firewalls for Microsoft Azure platform configured with high availability (HA) inadvertently collect Azure dashboard service account credentials. These credentials are equivalent to the credentials associated with the Contributor role in Azure. A user with the credentials will be able to manage all the Azure resources in the subscription except for granting access to other resources. These credentials do not allow login access to the VMs themselves. This issue affects VM Series Plugin versions before 1.0.9 for PAN-OS 9.0. This issue does not affect VM Series in non-HA configurations or on other cloud platforms. It does not affect hardware firewall appliances. Since becoming aware of the issue, Palo Alto Networks has safely deleted all the tech support files with the credentials. We now filter and remove these credentials from all TechSupport files sent to us. The TechSupport files uploaded to Palo Alto Networks systems were only accessible by authorized personnel with valid Palo Alto Networks credentials. We do not have any evidence of malicious access or use of these credentials.
Vulnerability Analysis
CVE-2020-1978 is exploitable with local system access, requires user interaction and user privileges. This vulnerability is considered to have a low attack complexity. The potential impact of an exploit of this vulnerability is considered to have a high impact on confidentiality, with no impact on integrity, and a high impact on availability.
Timeline
Initial publication
Weakness Type
Credentials Management Errors
Weaknesses in this category are related to the management of credentials.
Products Associated with CVE-2020-1978
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Affected Versions
Palo Alto Networks VM-Series Plugin:- Version 1.0, <= 1.0.8 is affected.
Exploit Probability
EPSS (Exploit Prediction Scoring System) scores estimate the probability that a vulnerability will be exploited in the wild within the next 30 days. The percentile shows you how this score compares to all other vulnerabilities.