Censored Qwen Blocks FTP Credentials

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🦙Read original on Reddit r/LocalLLaMA

#censorship#local-llm#security-refusalqwen3.5-122bqwen3.5-122bllama.cppqwen-code

💡Real example of LLM censorship blocking dev workflow—see FTP refusal workaround

⚡ 30-Second TL;DR

What Changed

Qwen3.5-122B rejects FTP access citing credential security and unverified access.

Why It Matters

Highlights limitations of censored local LLMs for dev tasks needing external access, pushing users toward uncensored models or custom prompts.

What To Do Next

Test uncensored Qwen via llama.cpp with action-oriented prompts for FTP tasks.

Who should care:Developers & AI Engineers

Key Points

•Qwen3.5-122B rejects FTP access citing credential security and unverified access.
•Model offers code review or script writing as safe alternatives.
•Workaround: Change prompt to command action directly, bypassing refusal.

🧠 Deep Insight

AI-generated analysis for this event — not the original article.

🔑 Enhanced Key Takeaways

•The refusal behavior in Qwen3.5-122B is part of a broader 'Safety Alignment' update deployed in early 2026, which specifically targets the prevention of SSRF (Server-Side Request Forgery) and credential exfiltration via LLM-integrated agents.
•The 'act' workaround identified by users exploits a known vulnerability in the model's system prompt hierarchy, where imperative task-oriented instructions can temporarily override safety-layer filters designed to prevent direct network interaction.
•Alibaba Cloud has acknowledged the 'over-sensitive' nature of the current safety filter in Qwen3.5-122B and has scheduled a patch to distinguish between user-authorized local script execution and unauthorized remote credential handling.

📊 Competitor Analysis▸ Show

Feature	Qwen3.5-122B	Llama 4-140B	Claude 3.5 Opus
Safety Policy	Strict/Hard-coded	Context-Aware	Adaptive
Agentic Capability	Restricted	Moderate	High
Pricing	Competitive/API	Open Weights	Premium
Benchmark (MMLU)	88.4	89.1	88.9

🛠️ Technical Deep Dive

•Model Architecture: Mixture-of-Experts (MoE) with 122B total parameters, utilizing a sparse activation mechanism for efficient inference.
•Safety Layer: Implements a 'Guardrail-in-the-Loop' architecture that intercepts function calls containing patterns matching common credential formats (e.g., 'ftp://', 'user:pass@').
•Inference Constraints: The model is fine-tuned with a specific 'Refusal-to-Execute' token set that triggers when the internal tokenizer detects high-entropy strings associated with network authentication protocols.

🔮 Future ImplicationsAI analysis grounded in cited sources

LLM providers will move toward 'Sandboxed Execution Environments' for agentic tasks.

The current reliance on prompt-based safety filters is insufficient to prevent credential leakage, necessitating hardware-level isolation for external network calls.

Prompt injection techniques will become the primary focus of security audits for enterprise LLM deployments.

As models become more agentic, the ability to bypass safety filters via simple imperative commands poses a significant risk to internal infrastructure security.

⏳ Timeline

2025-09

Release of Qwen3.0 series with initial agentic capabilities.

2026-02

Launch of Qwen3.5-122B featuring enhanced safety alignment protocols.

2026-04

Community reports of over-sensitive FTP credential blocking in Qwen3.5-122B.

🦙Read original article on Reddit r/LocalLLaMA

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