XBOW — agentic threat model

Not certain from the listing — likely utilizes advanced foundation models optimized for code generation and security analysis. Threats include prompt injection that could hijack the agent to target unauthorized systems or bypass safety alignment.

Not certain from the listing — requires ingestion of target network topology, vulnerability scan data, and exploit databases. Threats include data exfiltration of sensitive target vulnerability reports or poisoning of the knowledge base to hide specific vulnerabilities.

Not certain from the listing — orchestrates complex pentesting workflows (reconnaissance, vulnerability identification, exploitation). Threats include tool misuse, where the agent executes destructive exploits or targets out-of-scope systems due to planning failures.

Not certain from the listing — requires deployment in an environment with network access to target systems. Threats include container escape or host compromise, allowing an attacker to pivot from the pentesting agent into the broader testing infrastructure.

Not certain from the listing — requires comprehensive logging of all executed commands, payloads, and network traffic for auditability. Gaps in observability could lead to undetected rogue actions or unauthorized exploit attempts.

Not certain from the listing — requires strict scoping controls, IP whitelisting, and explicit authorization mechanisms to prevent unauthorized offensive actions that violate legal frameworks (e.g., CFAA).

Not certain from the listing — potential multi-agent coordination for distributed scanning or specialized exploitation tasks, but ecosystem interactions are not detailed.