deeplake

Fail

Audited by Gen Agent Trust Hub on Mar 28, 2026

Risk Level: HIGHREMOTE_CODE_EXECUTIONCOMMAND_EXECUTIONEXTERNAL_DOWNLOADSPROMPT_INJECTION
Full Analysis
  • [REMOTE_CODE_EXECUTION]: The skill documentation instructs the agent to download and execute an installation script directly from a remote URL using a piped shell command (curl -fsSL https://deeplake.ai/install.sh | bash). This practice allows for arbitrary code execution from an external source without verification of the script's integrity by a package manager.
  • [COMMAND_EXECUTION]: The skill advises the use of sudo apt-get install ffmpeg for installing system dependencies. Directing an agent to use sudo for administrative tasks introduces a risk of privilege escalation and potential system compromise.
  • [EXTERNAL_DOWNLOADS]: The skill facilitates downloading and ingesting data from external platforms such as HuggingFace (_huggingface key) and other public dataset repositories, which may contain untrusted content.
  • [PROMPT_INJECTION]: The skill is vulnerable to indirect prompt injection due to its core functionality of ingesting and processing content from external files and datasets.
  • Ingestion points: The client.ingest() method processes local files (videos, PDFs, images) and remote datasets (HuggingFace).
  • Boundary markers: There are no explicit instructions or delimiters provided to ensure the agent ignores commands or instructions embedded within the ingested data.
  • Capability inventory: The skill is granted powerful tools including Bash, Write, Edit, and WebFetch which could be exploited if malicious instructions are successfully injected via the data pipeline.
  • Sanitization: No validation or sanitization of the input data is documented before the content is passed into the processing pipeline.
Recommendations
  • HIGH: Downloads and executes remote code from: https://deeplake.ai/install.sh - DO NOT USE without thorough review
  • AI detected serious security threats
Audit Metadata
Risk Level
HIGH
Analyzed
Mar 28, 2026, 08:27 PM