TearSnow Update Lock Cleaner is a utility plugin for WordPress designed to address issues related to update locks that can interfere with the normal update process. Developed by TearSnow in collaboration with Fanly, the plugin targets scenarios where WordPress update operations become stuck due to lingering lock files or transient data, which can prevent further updates from proceeding smoothly. The tool specifically removes the core_updater.lock and auto_updater.lock entries, as well as related update transient data, from the WordPress system. By clearing these locks, it restores the platform’s ability to perform updates as intended. This function is particularly relevant in emergency recovery situations where standard update procedures have failed, and the usual automatic removal of update locks has not occurred. TearSnow Update Lock Cleaner operates automatically upon execution and is designed to exit immediately after completing its task. It does not introduce any changes to the WordPress database beyond removing the targeted lock files and transient data, nor does it provide an administrative user interface or affect the frontend of the website. The plugin’s lightweight nature and lack of ongoing presence make it suitable for administrators who need a quick, unobtrusive solution to resolve update lock problems. The plugin is distributed via the WordPress Plugin Directory. Details regarding its pricing or licensing terms are not specified in the available evidence.
TearSnow Update Lock Cleaner sits in PulseGate's Other dev tools category. Fixes WordPress update failures caused by stuck update locks, allowing site owners to resume updates without manual intervention. It is built as a consumer product for wordPress site administrators. TearSnow Update Lock Cleaner is free to use. It runs on the web.
Behind TearSnow Update Lock Cleaner is TearSnow, and it first shipped in 2026. Among its 5 catalogued features are update lock removal, no admin UI, and emergency recovery. The interface is available in English and Chinese.
Summary written by a language model from the project’s public pages.
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