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Prompt Injection
agent/chains.py:42Untrusted user input flows directly into the LLM prompt. An attacker can inject instructions to override the agent or exfiltrate data.
prompt = f"Answer this query: {user_input}"
response = llm.invoke(prompt)prompt = TEMPLATE.format(query=sanitize(user_input)) response = llm.invoke(prompt)
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Agent tool executes code via eval/exec where input can be influenced by LLM output or prompt injection.
Destructive tool (database write) fires without approval gate
agent/tools.py:45Tool chain fans out without bounded iteration limit
agent/graph.py:23RAG output flows into system prompt without sanitization
agent/chains.py:67Latest from Labs
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