A flaw was found in Ansible, where a user's controller is vulnerable to template injection. This issue can occur through facts used in the template if the user is trying to put templates in multi-line YAML strings and the facts being handled do not routinely include special template characters. This flaw allows attackers to perform command injection, which discloses sensitive information. The highest threat from this vulnerability is to confidentiality and integrity.

A data exposure flaw was found in Ansible Tower in versions before 3.7.2, where sensitive data can be exposed from the /api/v2/labels/ endpoint. This flaw allows users from other organizations in the system to retrieve any label from the organization and also disclose organization names. The highest threat from this vulnerability is to confidentiality.

A flaw was found in Ansible Tower in versions before 3.7.2. A Server Side Request Forgery flaw can be abused by supplying a URL which could lead to the server processing it connecting to internal services or exposing additional internal services and more particularly retrieving full details in case of error. The highest threat from this vulnerability is to data confidentiality.

A flaw was found in several ansible modules, where parameters containing credentials, such as secrets, were being logged in plain-text on managed nodes, as well as being made visible on the controller node when run in verbose mode. These parameters were not protected by the no_log feature. An attacker can take advantage of this information to steal those credentials, provided when they have access to the log files containing them. The highest threat from this vulnerability is to data confidentiality. This flaw affects Red Hat Ansible Automation Platform in versions before 1.2.2 and Ansible Tower in versions before 3.8.2.

A flaw was found in ansible-tower. The default installation is vulnerable to Job Isolation escape allowing an attacker to elevate the privilege from a low privileged user to the awx user from outside the isolated environment. The highest threat from this vulnerability is to data confidentiality and integrity as well as system availability.