ai-scanner-garak
Fail
Audited by Gen Agent Trust Hub on Sep 12, 2026
Risk Level: HIGHREMOTE_CODE_EXECUTIONEXTERNAL_DOWNLOADSINDIRECT_PROMPT_INJECTIONCOMMAND_EXECUTION
Full Analysis
- [REMOTE_CODE_EXECUTION]: The skill instructions suggest a high-risk installation method:
curl -sL https://raw.githubusercontent.com/0din-ai/ai-scanner/main/scripts/install.sh | bash. This pattern executes a remote script from an unverified repository directly in the shell, which could lead to unauthorized system access. - [EXTERNAL_DOWNLOADS]: Setup involves fetching multiple files including
docker-compose.yml,.env.example, and an installation script from the0din-aiGitHub organization, which is not a verified or trusted vendor. - [INDIRECT_PROMPT_INJECTION]: The skill implements a security scanner that processes data from potentially malicious AI targets.
- Ingestion points: Target LLM API responses and browser-based chat data are ingested from external endpoints specified in the targets.
- Boundary markers: Documentation does not define isolation mechanisms or explicit 'ignore instructions' markers for data received from target LLMs.
- Capability inventory: The described application logic includes invoking the
garakCLI, performing network requests, writing PDF reports to the file system, and sending data to external SIEM providers. - Sanitization: There is no description of input validation or escaping for the external data ingested during the scan process.
- [COMMAND_EXECUTION]: The skill involves running various local commands such as
docker compose,bundle install,pip install, and using a Rails console to perform database and system operations.
Recommendations
- HIGH: Downloads and executes remote code from: https://raw.githubusercontent.com/0din-ai/ai-scanner/main/scripts/install.sh - DO NOT USE without thorough review
- AI detected serious security threats
Audit Metadata