TL;DR: In this article, an apparatus, system, and method is disclosed for protecting against key logger malware, which includes protection form submission event from a browser associated with a user entering data into a form, confidential data is cleared to prevent it being captured by malware.
Abstract: An apparatus, system, and method is disclosed for protecting against key logger malware The protection includes protection form grabbing keylogger malware In response to detecting a form submission event from a browser associated with a user entering data into a form, confidential data is cleared to prevent it being captured by malware Additional protection of data inputs, entered at a driver level, may be provided as an additional level of protection against hook based malware operating at a virtual keyboard level or operating system level Data inputs received at a physical driver level may be protected as they pass through a virtual keyboard level and an operating system level The projection against malware may be provided as a preventive measure that does not require detection of the key logger malware itself
TL;DR: The projected work is aimed towards detecting and deactivating P2P Zeus bot by applying bound steps and it is employed to detect Bot by identifying most access port data in conjunction with its count.
Abstract: At Present, the most genuine exhibit of cutting edge malware is botnet. Botnet is across the board malware and it emerges usually in today's digital wrongdoing, which brings about genuine dangers to our system. It is cluster of compromised computer (bot), which is remotely controlled by Master commonly known as BotHerder; under a typical command and control (CC information capturing, form grabbing, sending spam mails and performing DDOS attack and so on. Subsequently it is required to distinguish the botnet keeping in mind the end goal to give secure system benefit. The projected work is aimed towards detecting and deactivating P2P Zeus bot by applying bound steps. Starting is identifying Bot by observation of network traffic behavior. Second step is employed to detect Bot by identifying most access port data in conjunction with its count. Last step is deactivating Bot activity from victim machine by using Port block and removing registry key entry through programming.
TL;DR: In this article, an apparatus, system, and method is described for protecting against key logger malware. The protection includes protection form submission event from a browser associated with a user entering data into a form, confidential data is cleared to prevent it being captured by malware.
Abstract: An apparatus, system, and method is disclosed for protecting against key logger malware. The protection includes protection form grabbing keylogger malware. In response to detecting a form submission event from a browser associated with a user entering data into a form, confidential data is cleared to prevent it being captured by malware. Additional protection of data inputs, entered at a driver level, may be provided as an additional level of protection against hook based malware operating at a virtual keyboard level or operating system level. Data inputs received at a physical driver level may be protected as they pass through a virtual keyboard level and an operating system level. The projection against malware may be provided as a preventive measure that does not require detection of the key logger malware itself.
TL;DR: Poseidon anti-key logger software as mentioned in this paper protects the browser and operating system from key logging Crime ware attacks, and the loss of critical user confidential information often entered into internet forms for the purpose of buying items or logging into financial institutions.
Abstract: The application describes a software (Poseidon Anti-key logger software) system and methodology for protecting against Crime ware key logger attacks that utilize, for example, form-grabbing, hook based and browser memory injection techniques. The application protects the browser and operating system from key logging Crime ware attacks, and the loss of critical user confidential information often entered into internet forms for the purpose of buying items or logging into financial institutions. An embodiment of a method for blocking memory injection form grabbing attacks comprises the following: Using a static 0 ring API wrapper, the object creates a restorable virtualized API shell which upon detection of a memory injection form grabbing event, the browser memory tables are restored using default memory tables. Using VT-x (Intel IA32) and SVM/Pacifica (AMD64) virtualization and applying it system wide by wrapping system drivers and creating a repetitive restore memory shell in resident memory the software provides protection against hook based, form grabbers and memory injection (Zeus Trojan) key stroke loggers. AKLAnti-Key logger API StackApplication Program Interface Stack BHOBrowser Helper Object DLLDynamic Link Library DDEDynamic Data Exchange Browser FormA user input area of a webpage API HookApplication Programming Interface Hook IRQInterrupt Request MalefactorsPersons designing and implementing Crime ware Memory Injection TrojanZeus Trojan using memory injection table alteration to dump browser form data
TL;DR: In this article, an apparatus, system, and method are disclosed for protecting against key logger malware, which includes protection form submission event from a browser associated with a user entering data into a form, confidential data is prevented from being captured by malware.
Abstract: An apparatus, system, and method are disclosed for protecting against key logger malware The protection includes protection form grabbing keylogger malware In response to detecting a form submission event from a browser associated with a user entering data into a form, confidential data is prevented from being captured by malware The protection against malware may be provided as a preventive measure that does not require detection of the key logger malware itself