AWS Penetration Testing — agentic threat model

Not certain from the listing — relies on an underlying LLM to interpret penetration testing playbooks and generate exploit payloads, making it susceptible to prompt injection that could redirect attacks against unauthorized targets.

Not certain from the listing — requires access to target cloud configurations, IAM policies, and potentially harvested credentials, creating a high-value target for data exfiltration or knowledge-base poisoning.

The agent framework orchestrates highly sensitive tools for IAM enumeration, SSRF, and Lambda extraction. Insecure tool integration or lack of strict input validation could allow an attacker to execute arbitrary commands on the host running the agent.

Not certain from the listing — requires robust sandboxing and network isolation to prevent the agent's own execution environment from being compromised during SSRF or local exploitation tasks.

Not certain from the listing — requires strict logging and real-time guardrails to ensure the agent does not exceed the authorized scope of the penetration test or target unapproved AWS assets.

The agent lacks built-in authorization controls or policy enforcement mechanisms in its description, presenting severe compliance risks regarding unauthorized scanning and data access policies.

As an open-source 'Agent Skill', this tool can be integrated into broader multi-agent workflows, introducing cascading risks if a parent agent is compromised and abuses this skill for malicious lateral movement.