H04L63/1416

Information handling system threat management
11595407 · 2023-02-28 · ·

Plural Internet of Things (IoT) gateways detect, secure against and remediate malicious code with an autonomous communication of tokens between the IoT gateways on a time schedule. Detection of an invalid token or a token communication outside of a scheduled time indicates that malicious code may have interfered with token generation or communication. Once malicious code is verified on an IoT gateway, the failed gateway is remediated to an operational state, such as with a re-imaging by another IoT gateway through an in band communication or a re-imaging by a server information handling system through an out of band communication.

Agile node isolation through using packet level non-repudiation for mobile networks
11706624 · 2023-07-18 ·

Apparatus, systems and methods for agile network isolation through use of packet level non-repudiation (PLNR) are provided. Using a fast cryptography to verify that incoming packets are undeniably being received from the identified source, real-time attack notifications can be independently verified and shared among the network devices to remove compromised nodes from the network. The ability to collaborate among nodes without trust may be achieved via PLNR, to share attack notifications in real-time may be achieved via Telling Attack Layer (TATL), and to establish the identity of an attack in a permanent and binding way may be achieved via DISCOvery (DISCO).

DETECTION OF UNDESIRED COMPUTER FILES USING DIGITAL CERTIFICATES

Methods and systems for detecting undesirable computer files based on scanning and analysis of information contained within an associated digital certificate chain are provided. According to one embodiment, a file having associated therewith a certificate chain is received. A type and structure of the file are identified. A location of the certificate chain is determined based on the identified type and structure. A signature of the file is formed by extracting a targeted subset of information from the certificate chain. The file is evaluated by comparing the signature with a set signatures having a known desirable or undesirable status. The file is classified based on a result of the evaluating into a category of multiple categories, including one indicative of an associated file being an undesired file or a file suspected of being undesired. The file is handled in accordance with a policy associated with the category.

INTERNET-BASED PROXY SERVICE TO MODIFY INTERNET RESPONSES

A proxy server receives from a client device a request for a network resource that is hosted at an origin server for a domain. The request is received at the proxy server as a result of a DNS request for the domain resolving to the proxy server. The origin server is one of multiple origin servers that belong to different domains that resolve to the proxy server and are owned by different entities. The proxy server retrieves the requested network resource. The proxy server determines that the requested resource is an HTML page. The proxy server scans the HTML page to locate one or more modification tokens that each indicates content that is subject to being modified. For at least one of the located modification tokens, the proxy server automatically modifies at least a portion of the content of the HTML page that corresponds to that modification token. The proxy server then transmits the modified HTML page to the client device.

OPERATION OF A DUAL INSTRUCTION PIPE VIRUS CO-PROCESSOR
20180004945 · 2018-01-04 · ·

Circuits and methods are provided for detecting, identifying and/or removing undesired content. According to one embodiment, a method for performing content scanning of content objects is provided. A content object that is to be scanned is stored by a general purpose processor to a system memory of the general purpose processor. Content scanning parameters associated with the content object are set up by the general purpose processor. Instructions from a signature memory of a co-processor that is coupled to the general purpose processor are read by the co-processor based on the content scanning parameters. The instructions contain op-codes of a first instruction type and op-codes of a second instruction type. Those of the instructions containing op-codes of the first instruction type are assigned by the co-processor to a first instruction pipe of multiple instruction pipes of the co-processor for execution. An instruction of the assigned instructions containing op-codes of the first instruction type is executed by the first instruction pipe including accessing a portion of the content object from the system memory.

Mitigating a Denial-of-Service Attack in a Cloud-Based Proxy Service

A proxy server in a cloud-based proxy service receives a message that indicates that a domain, whose traffic passes through the proxy server, may be under a denial-of-service (DoS) attack. The proxy server enables a rule for the domain that specifies that future requests for resources at that domain are subject to at least initially passing a set of one or more challenges. In response to receiving a request for a resource of that domain from a visitor, the proxy server presents the set of challenges that, if not passed, are an indication that that the visitor is part of the DoS attack. If the set of challenges are passed, the request may be processed. If the set of challenges are not passed, the request may be dropped.

COLLABORATIVE INVESTIGATION OF SECURITY INDICATORS
20180007071 · 2018-01-04 ·

Examples relate to collaborative investigation of security indicators. The examples disclosed herein enable presenting, via a user interface, community-based threat information associated with a security indicator to a user. The community-based threat information may comprise investigation results that are obtained from a community of users for the security indicator, and an indicator score that is determined based on the investigation results. The examples further enable obtaining an investigation result from the user and updating the indicator score based on the investigation result.

MALWARE DETECTION USING INTERNAL AND/OR EXTERNAL MALWARE DETECTION OPERATIONS
20180007064 · 2018-01-04 ·

A system may determine to perform an internal and an external malware detection operation to detect a malware infection associated with a client device. The system may perform the internal operation by modifying an environment, executing on a particular device, to form a modified environment. The system may perform the external operation by performing a communication from the particular device. The system may monitor the modified environment for a first behavior indicative of the malware infection, and may monitor a result of performing the communication for a second behavior indicative of the malware infection. The system may detect that the first or second behavior has occurred. The system may provide a notification that the client device is infected with malware based on detecting that the first or second behavior has occurred. The notification may cause one or more network devices to block network traffic to or from the client device.

MONITORING DYNAMIC DEVICE CONFIGURATION PROTOCOL OFFERS TO DETERMINE ANOMALY
20180007075 · 2018-01-04 ·

Example embodiments disclosed herein relate to monitoring Dynamic Device Configuration Protocol offers via a control plane. In one example, an address range or multiple address ranges for sources of the Dynamic Device Configuration Protocol offers can be tracked. In this example, an anomaly can be determined based on one of the Dynamic Device Configuration Protocol offers and the address range(s).

Extracting Malicious Instructions on a Virtual Machine in a Network Environment

A system including a guest virtual machine with one or more virtual machine measurement points configured to collect virtual machine operating characteristics metadata and a hypervisor control point configured to receive virtual machine operating characteristics metadata from the virtual machine measurement points. The hypervisor control point is further configured to send the virtual machine operating characteristics metadata to a hypervisor associated with the guest virtual machine. The system further includes the hypervisor configured to receive the virtual machine operating characteristics metadata and to forward the virtual machine operating characteristics metadata to a hypervisor device driver in a virtual vault machine. The system further includes the virtual vault machine configured to determine a classification for the guest virtual machine based on the virtual machine operating characteristics metadata and to send the determined classification to a vault management console.