Horizon Alert
Summary of the vulnerability and why it matters
A vulnerability has been identified in the Parse Dashboard, a management tool for Parse Server applications. This issue, specifically within the AI Agent API, allows authenticated users to access or manipulate data from applications they are not authorized to manage. The primary concern is confirming if your Parse Dashboard instance is configured with the AI Agent feature, as this determines its relevance.
- Unauthorized access to application data.
- Affects dashboards with AI Agent enabled.
- Confirm relevance and exposure for Parse Dashboards.
Attack Path
How an attacker could exploit the issue
An attacker can exploit this by logging into the Parse Dashboard with limited privileges and then manipulating the API request URL to target other applications. This allows them to escalate their access and perform unauthorized actions.
- Authenticated user with app access
- Calls target app's agent API endpoint
- Unauthorized access and data manipulation
Live Threat
Current exploitation, exposure, and threat context
When the `agent` configuration is enabled, authenticated users could access and modify data for any Parse Server app, not just those they are scoped to. Read-only users could be granted unintended write and delete permissions.
- App data and configurations at risk.
- Authenticated users can access other apps.
- Unauthorized data modification or deletion.
Operational Fix
Recommended remediation, mitigation, and detection steps
Ownership of this critical vulnerability likely falls to the application owners and platform teams responsible for managing Parse Server applications and their associated dashboards. The initial action should be to identify all Parse Dashboard instances, particularly those with the 'agent' configuration enabled. Confirming network accessibility and business criticality will inform the prioritization of remediation efforts.
- Application owners should manage the issue.
- Verify 'agent' configuration is enabled.
- Plan remediation based on identified risk.