Will your network get your
Codex account banned?

OpenAI's risk detection system doesn't simply block individual IP addresses. It evaluates behavioral patterns across your entire network context. Understanding this mechanism is the only way to genuinely reduce ban risk rather than just masking surface signals.

1. Exit IP country — the most critical factor

OpenAI's Terms of Service explicitly list restricted regions. When your exit IP geolocates to a restricted area, the automated system triggers the highest-level geographic restriction check. This is the first gate — it doesn't matter how long you've had your account, how much you've spent, or how well-behaved your usage has been. Geographic detection is automated and non-negotiable. Users in restricted regions must route all traffic through an overseas proxy exit node.

2. Datacenter IPs — guilt by association

From a technical standpoint, residential IPs (home broadband) and datacenter IPs (VPS, cloud servers, hosting proxies) are fully distinguishable. Datacenter IP blocks are simultaneously shared by hundreds or thousands of users — including abusers, scrapers, automation bots, and ToS violators. OpenAI's risk model assigns credit scores at the IP range level: a single bad actor on the same /24 subnet can pull down the score for every account in the block. Even if your own behavior is pristine, you may face increased scrutiny simply because of your IP neighbors. Vultr, DigitalOcean, Linode, Hetzner, OVH, AWS, Google Cloud, Azure, Tencent Cloud, Alibaba Cloud, and similar providers all fall into this category. The risk is meaningfully higher than residential IPs.

3. WebRTC leaks — the fatal proxy blind spot

WebRTC (Web Real-Time Communication) is a browser-native P2P protocol. Even when you have a proxy configured, WebRTC connections default to your system's actual IP, completely bypassing the proxy layer. This means: while your HTTP requests show the proxy IP, WebRTC simultaneously reveals your true IP. Modern browser fingerprinting captures this contradiction. If your proxy IP is in Japan but WebRTC shows a mainland China address, that signal is exactly what automated risk systems look for. Note that Codex CLI runs in your terminal and is unaffected by WebRTC — this check matters specifically for browser-based authentication flows.

4. API reachability — the direct Codex CLI dependency

api.openai.com is Codex CLI's sole communication endpoint. If your terminal cannot reach this address — due to DNS pollution, connection timeout, or firewall interception — Codex CLI will enter an endless Reconnecting loop and never complete a request. This check gives you an immediate, practical answer: "can my command-line tool actually run right now?" It's the most directly actionable pre-flight check before starting a Codex session.

5. Timezone consistency — the anti-evasion signal

Risk systems cross-reference IP geolocation against browser system timezone. If your IP indicates you're in California but your browser reports Asia/Shanghai as the local timezone, that contradiction is textbook "forgot to set timezone after enabling proxy" behavior. This pattern is catalogued as an anomaly signal. Individually it carries low weight, but combined with other anomalies — a datacenter IP, an inconsistent language setting, or unusual usage hours — the compounding effect significantly increases the probability of triggering a manual review flag.

Bottom line: The safest setup is a residential IP exit node in Japan, Singapore, or the US — combined with a system timezone matching that region, WebRTC disabled, and correctly configured terminal proxy environment variables. This combination carries extremely low ban risk.