Abstract: Techniques for identifying misleading applications are disclosed. In one particular exemplary embodiment, the techniques may be realized as a method for identifying misleading applications comprising receiving a request for network data, parsing the request for network data, using a processor, to determine if one or more portions of the request match a suspicious indicator, identifying the suspicious indicator without using a known malware domain or a known malware signature, and performing a specified action in the event one or more portions of the request match a suspicious indicator.

Abstract: A computer-implemented method for creating customized confidence bands for use in malware detection may include 1) identifying a portal for receiving executable content, 2) identifying metadata relating to the portal, 3) analyzing the metadata to determine what risk executable content received via the portal poses, and then 4) creating, based on the analysis, a confidence band to apply during at least one disposition of executable content received via the portal. Various other methods, systems, and computer-readable media are also disclosed.

Abstract: A computer-implemented method for tracing attacks. The method may include identifying a first website and determining that the first website loads an attack remotely through a second website. The method may also include determining that the second website hosts the attack. The method may include performing a security action, such as blocking downloads from the second website, with respect to the second website. The attack may be a drive-by download. Corresponding systems and computer-readable media are also disclosed.

Abstract: To evade heuristic detection, malware is often designed to trick users into installing the malware by being packaged in a standard installer known to the user's computer for typically installing legitimate software. To prevent removal of the malware, the malware modifies or removes its uninstaller. A security module manages this type of evasion technique by monitoring and detecting installations performed on a computer. The module detects attempts to remove or modify the uninstaller for the application to render the uninstaller incapable of uninstalling the application. The module can intercept and block such attempts, and then analyze the application for malicious code. Where the application is determined to be malware, the module prevents malicious activity. The module can also use the malware's own uninstaller to uninstall the malware from the computer.

Abstract: A computer-implemented method for creating customized confidence bands for use in malware detection may include 1) identifying a portal for receiving executable content, 2) identifying metadata relating to the portal, 3) analyzing the metadata to determine what risk executable content received via the portal poses, and then 4) creating, based on the analysis, a confidence band to apply during at least one disposition of executable content received via the portal. Various other methods, systems, and computer-readable media are also disclosed.