In the web context,there is an urgent need for a self-healing database system which has the ability to automatically locate and undo a set of transactions that are corrupted by malicious attacks.The metrics of survivability and availability require a database to provide continuous services during the period of recovery,which is referred to as dynamic recovery.In this paper,we present that an extended read operation from a corrupted data would cause damage spreading.We build a fine grained transaction log to record the extended read and write operations while user transactions are processing.Based on that,we propose a dynamic recovery system to implement the damage repair.The system captures damage spreading caused by extended read-write dependency between transactions.It also retains the execution results for blind write transactions and gives a solution to the issues of recovery conflicts caused by forward recovery.Moreover,a confinement activity is imposed on the in-repairing data to prevent a further damage propagation while the data recovery is processing.The performance evaluation in our experiments shows that the system is reliable and highly efficient.