Bucharest, Romania
Bucharest, Romania

Bitdefender is an antivirus software suite developed by Romania-based software company Softwin. It was launched in November 2001, and is in its 18th build version. The 2014 version was launched on June 26, 2013, and it includes several protection and performance enhancements such as Search Advisor, Performance Optimizer and many more features.The Bitdefender products feature anti-virus and anti-spyware, improved Detection, personal firewall, vulnerability scanner, privacy control, user control, and backup for corporate and home users. PC Tuneup and Performance Optimizer are available in the Total Security Suite. In the 2014 version, it had a wallet option to save passwords, a lighter scan and computer performance. Wikipedia.

Time filter
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Described systems and methods enable a host system to efficiently perform computer security activities, when operating in a hardware virtualization configuration. A processor is configured to generate a VM suspend event (e.g., a VM exit or a virtualization exception) when a guest instruction executing within a guest VM. performs a memory access violation. In some embodiments, the processor is further configured to delay generating the VM suspend event until the execution stage of the pipeline for the guest instruction is complete, and to save results of the execution stage to a specific location (e.g. a specific processor register readable by security-software) before generating the event.

Described systems and methods enable an efficient analysis of security-relevant events, especially in hardware virtualization platforms. In some embodiments, a notification handler detects the occurrence of an event within a virtual machine, and communicates the respective event to security software. The security software then attempts to match the respective event to a collection of behavioral and exception signatures. An exception comprises a set of conditions which, when satisfied by an tuple, indicates that the respective entity is not malicious. In some embodiments, a part of exception matching is performed synchronously (i.e., while execution of the entity that triggered the respective event is suspended), while another part of exception matching is performed asynchronously (i.e., after the triggering entity is allowed to resume execution).

Described systems and methods enable protecting multiple client systems (e.g., a corporate network) from computer security threats such as malicious software and intrusion. In some embodiments, each protected client operates a live introspection engine and an on-demand introspection engine. The live introspection engine detects the occurrence of certain events within a protected virtual machine exposed on the respective client system, and communicates the occurrence to a remote security server. In turn, the server may request a forensic analysis of the event from the client system, by indicating a forensic tool to be executed by the client. Forensic tools may be stored in a central repository accessible to the client. In response to receiving the analysis request, the on-demand introspection engine may retrieve and execute the forensic tool, and communicate a result of the forensic analysis to the security server. The server may use the information to determine whether the respective client is under attack by malicious software or an intruder.

Domain generation algorithm (DGA) malware is detected by intercepting an external time request sent by a potential DGA malware host, and replacing the received real time with an accelerated (future) real time designed to trigger time-dependent DGA activity. The interception and replacement are performed outside the physical or virtual DGA host, on a different physical or virtual system such as a distinct external physical server or router, or distinct hypervisor or virtual machine running on the same physical system, in order to reduce the risk that the DGA malware identifies the time substitution. Failed DGA malware external access requests triggered only at future times are then used to identify domain names generated by the DGA malware, allowing proactive countermeasures.

Agency: European Commission | Branch: H2020 | Program: IA | Phase: DS-03-2015 | Award Amount: 7.02M | Year: 2016

In recent years, the majority of the worlds Critical Infrastructures CIs evolved to become more flexible, cost efficient and able to offer better services and conditions for business opportunities. Towards this evolution, CIs and companies offering CI services had to adopt many of the recent advances of the Information and Communication Technologies (ICT) field. This adaptation however, was rather hasty and without thorough evaluation of its impact on security. The result was to leave CIs vulnerable to a who the new set of threats and attacks that impose high levels of risk to the public safety, economy and welfare of the population. In so far, the main approach to protect CIs is to handle them as comprehensive entities and offer them a complete solution for their overall infrastructures and systems (IT&OT departments). However Complete CI protection solutions exist in the form of individual products from individual companies. These products integrate only and tools/solutions designed by the same company, thus offering limited technical solutions. The main aim of CIPSEC is to create a unified security framework that orchestrates state-of-the-art heterogeneous security products to offer high levels of protection in IT (information technology) and OT (operational technology) departments of CIs. As part of this framework CIPSEC will offer a complete security ecosystem of additional services that can support the proposed technical solutions to work reliably and at professional quality. These services include vulnerability tests and recommendations, key personnel training courses, public-private partnerships (PPPs) forensics analysis, standardization and protection against cascading effects. All solutions and services will be validated in three pilots performed in three different CI environments (transportation, health, environment). CIPSEC will also develop a marketing strategy for optimal positioning of its solutions in the CI security market.

BitDefender | Date: 2016-03-18

Described systems and methods allow a mobile device, such as a smartphone or a tablet computer, to protect a user of the respective device from fraud and/or loss of privacy. In some embodiments, the mobile device receives from a server a risk indicator indicative of whether executing a target application causes a privacy risk. Determining the risk indicator includes automatically supplying a test input to a data field used by the target application, the data field configured to hold a private item such as a password or a geolocation indicator. Determining the risk indicator further comprises determining whether a test device executing an instance of the target application transmits an indicator of the test input, such as the test input itself or a hash of the test input, to another party on the network.

Described spam detection techniques including string identification, pre-filtering, and frequency spectrum and timestamp comparison steps facilitate accurate, computationally-efficient detection of rapidly-changing spam arriving in short-lasting waves. In some embodiments, a computer system extracts a target character string from an electronic communication such as a blog comment, transmits it to an anti-spam server, and receives an indicator of whether the respective electronic communication is spam or non-spam from the anti-spam server. The anti-spam server determines whether the electronic communication is spam or non-spam according to features of the frequency spectrum of the target string. Some embodiments also perform an unsupervised clustering of incoming target strings into clusters, wherein all members of a cluster have similar spectra.

Described systems and methods allow an instruction that violates memory access permissions within a virtual machine to execute natively (i.e., within the respective virtual machine), when such execution is deemed acceptable by security software executing at the level of the hypervisor. In some embodiments, the processor is endowed with a register having a set of control fields (e.g., control bits) that regulate permission overrides. Control fields may be accessible to software via a VM state object such as the VMCS on Intel platforms.

Described systems and methods allow protecting a computer system from malware, such as return-oriented programming (ROP) exploits. In some embodiments, a set of references are identified within a call stack used by a thread of a target process, each reference pointing into the memory space of an executable module loaded by the target process. Each such reference is analyzed to determine whether it points to a ROP gadget, and whether the respective reference was pushed on the stack by a legitimate function call. In some embodiments, a ROP score is indicative of whether the target process is subject to a ROP attack, the score determined according to a count of references to a loaded module, according to a stack footprint of the respective module, and further according to a count of ROP gadgets identified within the respective module.

Described systems and methods allow protecting a computer system from malicious software. In some embodiments, a security application divides a set of monitored executable entities (e.g., processes) into a plurality of groups, wherein all members of a group are related by filiation or code injection. The security application may further associate a set of scores with each entity group. Such group scores may be incremented when a member of the respective group performs certain actions. Thus, even though actions performed by individual members may not be malware-indicative per se, the group score may capture collective malicious behavior and trigger malware detection. In some embodiments, group membership rules vary according to whether an entity is part of a selected subset of entities including certain OS processes, browsers and file managers. When an entity is determined to be malicious, anti-malware measures may be taken against a whole group of related entities.

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