Canva implement-feedback — agentic threat model

Not certain from the listing — likely relies on proprietary Canva-hosted or third-party foundation models. Vulnerable to prompt injection attacks that could trick the model into executing unintended design edits or deleting elements.

Not certain from the listing — processes design files and user feedback. Risks include unauthorized reading of sensitive design metadata or exfiltration of proprietary visual assets if the data pipeline lacks strict isolation.

Utilizes the Canva Connector to execute write actions. The primary threat is tool misuse, where malicious feedback inputs manipulate the tool-calling framework into executing destructive edits on the user's files.

Not certain from the listing — likely deployed within Canva's proprietary cloud infrastructure. Threats include insufficient sandboxing of the execution environment processing external feedback inputs.

Not certain from the listing — requires robust logging of all write actions executed via the Canva Connector to detect anomalous or destructive design modifications before they are finalized.

Relies on Canva's OAuth and permission model to authorize write access to user files. Weaknesses in session management or token scoping could allow unauthorized design modifications.

Explicitly pairs with the 'get-design-feedback' agent. This multi-agent interaction introduces cascading risks if the feedback-generating agent is compromised or fed malicious data, leading to automated execution of harmful edits.