The “anti-blocking protection” of GB WhatsApp is mostly achieved by messing with device fingerprints and evading official detection mechanisms. Based on the test results of cybersecurity company Sophos in 2025, its anti-detection module can generate dynamic fake IMEI codes (updated every six hours), reducing the chances of WhatsApp servers wrongly judging device uniqueness to 12% (89% when the feature is disabled). But in 2025, Meta enhanced its machine learning ban model, improving the accuracy rate for detecting users of GB WhatsApp to as much as 78%. This produced a sudden surge in the number of average daily bans from 12,000 in 2024 to 47,000, and the median survival time of user accounts in nations like India and Egypt decreased from 98 days to 23 days.
Technical methods are limited. Although the “distributed proxy” feature of GB WhatsApp (alternation between IP pools in 12 countries/regions) will set the percentage of risk dispersion of detection for a single account to 63%, Financial Times in 2025 reported that following Meta’s rollout of the “behavioral fingerprint analysis” tech, With 132 parameters such as typing speed (average 240ms/character) and message sending (peak 28 per minute), the identification accuracy of users of GB WhatsApp is 91%. For instance, a Pakistani advertising agency used GB WhatsApp for mass adverts. Within 10 days, 87% of the accounts were banned and the rate of successful appeal was merely 2.4%, which was much lower than the 19% of the original app.
Legal consequences aggravate the impact of the ban. The “Digital Services Act 2.0” implemented by the European Union in 2025 requires third-party apps to disclose the technical parameters of anti-blocking. GB WhatsApp was fined 80 million euros for non-compliance and introduced a forced data review mechanism, raising the 30-day rate of blocking user accounts in Germany and France to 34%. Besides, loopholes exist in its encrypted backup option: In 2025, Kaspersky Lab discovered when an account on GB WhatsApp had been blocked, the restore rate of users’ chat history had only 41% (and the real ratio was 93%), and there was a likelihood of up to 17% that backup files would be extortionately encrypted with malicious intent. As a result, a Brazilian law firm lost 3.8 million US dollars’ value of client evidence chain data.
User behavior patterns remain the most critical variable. GB WhatsApp’s “Message anti-recall” and “Unlimited Forwarding” features increase the probability of crossing the ban threshold (e.g., sending 500 messages in an hour) by 2.3 times. On average, there were 14,000 per day political party supporter GB WhatsApp accounts in the 2025 Indonesian general election, of which 72% were traced to the mass sending frequency exceeding the official limit (25 messages per minute). While GB WhatsApp provides the “traffic simulation” feature (mimicking the natural user behavior curve), Meta’s real-time traffic analysis system can recognize abnormalities in 0.8 seconds, and the actual anti-blocking effectiveness of this feature is merely 29%.
In the long term, GB WhatsApp’s anti-ban feature reduces slightly. In August 2025, its v15.2 version was blacklisted by the GSMA for tampering with the SSL handshake protocol, resulting in a 37% reduction in compatible devices and a sharp drop in the success rate of new account registration from 74% to 19%. Worrying is the fact that Meta has acquired pre-installing arrangements with Android mobile device manufacturers and inserted deep discovery engines into operating systems such as OPPO ColorOS 14 and Xiaomi HyperOS, taking up the process cloaking function’s failure rate in GB WhatsApp to 68%. GB WhatsApp users’ average annual account replacement cost will reach $38 ($12 in 2025), and the return on investment (ROI) of anti-ban tech will deteriorate from 1:5.7 to 1:1.3 by 2026, says market research firm Counterpoint.