Abstract: Methods, apparatus, systems, and articles of manufacture are disclosed to defend against dynamic-link library (DLL) side-loading attacks. An example apparatus includes a fingerprint generator to determine a first DLL fingerprint of a first DLL stored at a first OS path referenced by an operating system (OS) event generated by a computing device, and, in response to determining that a second DLL having the same name as the first DLL is stored at a second OS path superseding the first OS path, determine a second DLL fingerprint of the second DLL, a fingerprint comparator to determine whether at least one of the first or the second DLL fingerprint satisfies a deviation threshold based on a comparison of the first and the second DLL fingerprint to a reference DLL fingerprint, and a security action enforcer to execute a security action to protect a computing device from an attack.

Abstract: An apparatus, including systems and methods, for detecting ransomware is disclosed herein. For example, in some embodiments, an apparatus includes a memory element operable to store instructions; and a processor operable to execute the instructions, such that the apparatus is configured to receive data identifying a process and a plurality of files accessed by the process; identify an access indicator associated with each of the plurality of files accessed by the process, wherein the access indicator includes file type; determine whether the access indicator exceeds a threshold; interrupt, based on a determination that the access indicator exceeds a threshold, the process; and prompt a user to allow or disallow the process to proceed.

Abstract: There is disclosed in one example a computing apparatus, including: a hardware platform; and a storage medium having stored thereon executable instructions to provide an inference engine configured to: receive a new suspicious fragment object from a protected device; add the new suspicious fragment object to a rolling map configured to provide a temporal snapshot of suspicious fragment objects over a time span; determine a connection between the new suspicious fragment object and an existing suspicious fragment object within the rolling map; apply the connection to a connection map; and operate a map classifier to determine that the connection map represents a probable computer security threat.

Abstract: Managing authentication of a child device includes receiving, by a host device, sensor data from a child device, deriving simplified authentication data from the sensor data based on a capability of the child device, storing the simplified authentication data in an authentication profile for the child device, and transmitting the simplified authentication data to the child device, wherein the simplified authentication data is sufficient to allow the child device to authenticate a user without the host device.

Abstract: There is disclosed in one example a computing apparatus, including: a hardware platform including a processor and a memory; a transceiver; a local user display; and instructions encoded within the memory to instruct the processor to: locate via the transceiver at least one nearby device; receive observational profile information for the nearby device; and display on the local user display information about the nearby device's observation abilities.

Abstract: Example data leakage detection apparatus disclosed herein include a fingerprinter to generate a first data fingerprint of a first data item accessed from a data source. Disclosed example data leakage detection apparatus also include a blockchain scanner to scan a blockchain to detect whether a first blockchain record includes a second data fingerprint that matches the first data fingerprint of the first data item. Disclosed example data leakage detection apparatus further include a blockchain writer to write a second blockchain record to the blockchain when the second data fingerprint matches the first data fingerprint, the second blockchain record to indicate the first data item is associated with a data leak of a protected data item represented by the second data fingerprint. In some examples, the second blockchain record is to include the first data fingerprint and a first timestamp.

Abstract: Methods and apparatus to detect adversarial malware are disclosed. An example adversarial malware detector includes a machine learning engine to classify a first feature representation representing features of a program as benign or malware, a feature perturber to, when the first feature representation is classified as benign, remove a first one of the features to form a second feature representation, and a decider to classify the program as adversarial malware when the machine learning engine classifies the second feature representation as malware.

Abstract: Methods, systems, and media for protecting applications from malicious communications are provided. In some embodiments, the method comprises: receiving a rule that indicates that communications from a source application to a destination application are to be blocked, wherein the rule is generated by: calculating risk values associated with communications transmitted by the source application; calculating a risk score for the source application; identifying a group of applications that have communicated with the source application; calculating a risk profile score for the source application; and in response to determining that the risk profile score exceeds a threshold, generating the rule; intercepting a communication to the destination application; determining whether to transmit the communication to the destination application; and in response to determining that the communication is not to be transmitted to the destination application, blocking the communication.

Abstract: There is disclosed in one example a computing apparatus, including: a hardware platform including a processor, a memory, and a network interface; and instructions encoded within the memory to instruct the processor to: receive an incoming packet via the network interface; extract from the incoming packet a source port and a source internet protocol (IP) address; correlate the source port and source IP to a device identifier (ID); receive a network policy for the device ID; and apply the network policy to the incoming packet.

Abstract: An improved anti-malware protection system protects computers against exploits in a scripting language that may be run in a browser. The system comprises a recorder that records scripting language execution events, a trace generator that transforms the recorded scripting language execution events into an execution trace, and a security engine that scans the execution trace and advises a security software about exploits found in the execution trace. By hooking the recorder into a runtime application programming interface for the scripting language, the improved protection system can detect exploits dynamically without the need for a browser-dependent plugin. An optional plugin can be included to perform file-based analysis of the script in addition to the runtime analysis of the script. The system can provide an application programming interface that can be used by multiple security software programs from multiple vendors to create an enhanced security software product.

Abstract: An apparatus, related devices and methods, having a memory element operable to store instructions; and a processor operable to execute the instructions, such that the apparatus is configured to determine, based on operating system workload demands, whether a high-demand application is running and, based on a determination that a high-demand application is running, apply an optimization policy that modifies a security application, wherein the optimization policy modification includes reducing a protection applied by the security application.

Abstract: Particular embodiments described herein provide for a system that can be configured to identify cryptomining malware. The electronic device can be configured to identify a website, determine one or more uniform resource locators associated with the website, determine scripts associated with the website, obtain a string format of each of the determined scripts associated with the website, analyze each of the of the string formats to determine if a specific script is related to malware, and block the website if the specific script is related to malware. In an example, the system can also be configured to determine if usage of the computer processing unit and/or system resources increase more than a threshold amount during access to the website and send the one or more uniform resource locators associated with the website to a network security engine for further analysis.

Abstract: There is disclosed in one example a computing apparatus, including: a processor; and logic encoded into one or more computer-readable mediums, the logic to instruct the processor to: capture first data from an intermediate data source across a first temporal interval; perform partial signal processing on the first data to classify the first temporal interval as either suspicious or not suspicious, wherein the first temporal interval is classified as suspicious if it is determined to potentially represent at least a portion of a cryptomining operation; classify second through N temporal intervals as either suspicious or not suspicious; based on the first through N temporal intervals, classify the apparatus as either operating a cryptomining function or not; and upon classifying the apparatus as operating a cryptomining function and determining that the cryptomining function is not authorized, take remedial action on the apparatus.

Abstract: A technique includes providing real-time collective and collaborative navigation for one or more users to navigate to a destination. Each computing device associated with a member includes navigation objects that is pooled in a server and updated on each client device of users as one or more users navigate to a destination. A set of navigation objects may be created and distributed to the members within the group for the session, whereby the navigation objects are data structures that may be managed by a server. Based on a contextual trigger, the navigation object may be created or modified and used to provide a context to the navigation session. Navigation objects may continuously analyze user context and user situations to detect anomalies for one or more members in the group.

Abstract: There is disclosed in one example a computing apparatus, including: a network interface; a hardware platform, including at least a processor and a memory; and instructions encoded in the memory to instruct the processor to: identify an executable object to be run on the apparatus, the executable object to provision a plurality of local files or objects with unknown local reputations; query via the network interface a remote service with an identification of the executable object; responsive to the query, receive from the remote service a reputation batch for the local files or object; and selectively permit installation of the executable object and/or the plurality of local files or objects based at least in part on individual reputations within the reputation batch.

Abstract: An attempted transaction is identified involving a customer device and the first customer device is redirected to a security broker. A security report for the first customer device is received from the security broker. The security report is based on security data transmitted from the customer device to the security broker. An action can be performed in association with the attempted transaction based at least in part on the received security report. In some aspects, the security broker receives security data describing security conditions on the customer device in connection with the transaction between the customer device and a transaction partner. A risk tolerance policy is identified that corresponds to the transaction partner, such as an ecommerce provider. A security report is generated based on a comparison of the risk tolerance policy and the security data and the security report.

Abstract: Particular embodiments described herein provide for a system that can be configured to communicate chat session data during a chat session to a first display of a first electronic device, communicate the chat session data during the chat session to a second display of a second electronic device, receive sensitive data during the chat session from the first electronic device, and protect the sensitive data from being displayed on the second display during the chat session without breaking continuity of the chat session.

Abstract: Embodiments are configured to receive metadata of a process intercepted on an end host when attempting to access a network. The metadata includes a hash of an application associated with the process and an endpoint reputation score of the application. Embodiments are configured to request a threat intelligence reputation score based on the hash of the application, to determine an action to be taken by the end host based, at least in part, on one or more policies and at least one of the threat intelligence reputation score and the endpoint reputation score, and to send a response indicating the action to be taken by the end host. Further embodiments request another threat intelligence reputation score based on another hash of a dynamic link library module loaded by the process on the end host, and the action is determined based, at least in part, on the other threat intelligence score.

Abstract: An apparatus, related devices and methods, having memory; and a processor operable to execute instructions stored in the memory configured to cache a first data object and a second data object received from a source in a cache group based on metadata received from the source, where the metadata identifies the first and second data objects as related and the first data object as a trigger object; receive a request from a client for the first data object; identify, based on a determination that the first data object is invalid and is the trigger object, the first data object and the second data object as invalid; request a valid first data object and a valid second data object from the source; and cache the valid first and second data objects, received from the source, in the cache group.

Abstract: A method in an embodiment includes detecting a change for a virtual machine in a virtual server of a virtual network infrastructure, determining whether a virtual security appliance is configured in the virtual server, and sending a request to create the virtual security appliance in the virtual server. The method further includes allowing the virtual machine to initiate when the virtual security appliance is created in the virtual machine. The virtual security appliance performs security inspections on network packets sent from the virtual machine. In more specific embodiments, the method further includes creating an intercept mechanism in the virtual server to intercept the network packets from the virtual machine. In further embodiments, one or more security policies identify one or more virtual security appliances to process the network packets from the virtual machine.