Abstract: A parsing module identifies a framed page within a web page received from a network. The parsing module further identifies information regarding the frame such as the framed page's uniform resource locator. A lookup module accesses a memory module to determine if the identified information regarding the frame is included in a protection list stored in the memory module. A notification module notifies a client's user that the framing web page is fraudulent if the identified information regarding the frame is included in the protection list. Alternatively, the parsing module is adapted to identify a security tag within the framed page indicating that the framed page is not permitted to be displayed within a frame. If the framed page includes a security tag, the notification module notifies the client's user that the framing web page is fraudulent.

Abstract: Method and apparatus for monitoring instant messaging with visual identification are described. In some examples, monitoring of instant message (IM) traffic at a node on a network is performed. Video content in the IM traffic is detected at the node. A facial recognition analysis is performed on the video content to extract at least one image having human facial features. At least one user identity is extracted from the IM traffic. The at least one image and the at least one user identity are stored in a log implemented in a memory on the network.

Abstract: A database server receives an incoming query and converts the query into its canonical form. The database server compares the canonical incoming query with stored template queries. If the incoming query matches one of the stored template queries, then the query is legitimate and the query is executed on the database. If the canonical incoming query does not match one of the stored template queries, then the database server determines whether the incoming query is malicious or anomalous. The database server identifies tokens in the incoming query that are not present in a similar template query. If the tokens have meaning in the language utilized to express the query, the database server declares the query malicious. Otherwise, the database server declares the query anomalous.