agentic-payments

Fail

Audited by Gen Agent Trust Hub on Sep 4, 2026

Risk Level: HIGHREMOTE_CODE_EXECUTIONINDIRECT_PROMPT_INJECTIONCOMMAND_EXECUTION
Full Analysis
  • [REMOTE_CODE_EXECUTION]: The skill provides instructions to install the InFlow CLI by downloading and executing remote scripts directly in a shell. Examples include curl -fsSL https://inflowcli.ai/install.sh | bash and irm https://inflowcli.ai/install.ps1 | iex. While these scripts are hosted on the vendor's domain (inflowcli.ai), the practice of piping unverified remote content to a shell is a high-risk pattern that bypasses local security checks.
  • [INDIRECT_PROMPT_INJECTION]: The skill is designed to interact with untrusted external resources using the inflow inspect <url> and inflow pay <url> commands. A malicious website could return a payment challenge or metadata designed to manipulate the agent's behavior during the transaction process.
  • Ingestion points: External URLs provided by users or parsed from content are passed to the CLI for inspection and payment.
  • Boundary markers: The skill suggests checking for domain matches and price discrepancies, but lacks strict technical delimiters or explicit instructions to ignore instructions embedded within the seller's response.
  • Capability inventory: The skill possesses the capability to execute shell commands, perform network requests, and write to the local filesystem (e.g., via the --output-file flag).
  • Sanitization: There is no evidence of sanitization or validation of the data retrieved from the external URL before it is processed by the agent or the CLI.
  • [COMMAND_EXECUTION]: The skill constructs CLI commands using inputs such as URLs, data payloads, and billing options. If the inflow CLI tool does not internally sanitize these inputs, it could create a vulnerability for command injection when the agent executes these tools via a shell.
Recommendations
  • HIGH: Downloads and executes remote code from: https://inflowcli.ai/cli, https://inflowcli.ai/install.sh - DO NOT USE without thorough review
Audit Metadata
Risk Level
HIGH
Analyzed
Sep 4, 2026, 06:27 AM
Security Audit — agent-trust-hub — agentic-payments