一线运维实战手记 · 云计算 · 数据库 · 故障排查
2026年10月9日

CVE-2026-107717 [MEDIUM] – Banks generates meaningful LLM prompts using a simple template language. Prior to 2.5.0, B

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Banks generates meaningful LLM prompts using a simple template language. Prior to 2.5.0, Banks Prompt.chat_messages() attempts to parse every line of rendered template output as ChatMessage JSON. When an application renders untrusted data and passes the returned ChatMessage objects to an LLM provider, attacker-controlled JSON can cross the prompt boundary and become a system, assistant, or tool message because ChatMessage.role accepts arbitrary strings. This can override application instructions, alter the intended prompt structure, or confuse downstream tool and message handling. This issue is fixed in version 2.5.0.