124 results about "Attack surface" patented technology

A wiper blade for cleaning motor vehicles is proposed, which is provided with a band-like, elongated, spring-elastic support element (12). The lower band surface (13) of the support element (12) oriented toward the window (22) has an elongated, rubber-elastic wiper strip (14), which can be placed against the window (22), disposed on it so that the longitudinal axes of these two parts are parallel and the upper band surface (11) of the support element (12) has a wind deflection strip (42) disposed on it, which extends in the longitudinal direction of the support element, is provided with an attack surface (54) oriented toward the main flow of the relative wind, and is comprised of an elastic material. A considerable weight savings for the wiper blade is achieved if the wind deflection strip (42, 142, or 242) has two diverging legs (44, 46), viewed in cross section, which are connected to each other at a common base (48) and whose free ends (50, 52) oriented toward the window (22) are supported on the wiper blade (10), and the attack surface (54) is embodied on the outside of the one leg (44).

A reconnaissance and assessment (RA) tool can receive base information about the network, such as basic network information and details about an entity and personnel associated with network. The RA tool can utilize the base information to perform reconnaissance procedures on the network to identify the attack surface of the network. The RA tool can perform reconnaissance on the network, itself, and on other external sources, such as third party databases, search engines, and partner networks. Once the attack surface is identified, the RA tool can automatically perform appropriate security assessments on the attack surface. Additionally, if additional information is determined about the network during the security assessments, the RA tool can perform additional reconnaissance and security assessments based on the additional information.

Approaches, techniques, and mechanisms are disclosed for implementing a distributed firewall. In an embodiment, many different computer assets police incoming messages based on local policy data. This local policy data is synchronized with global policy data. The global policy data is generated by one or more separate analyzers. Each analyzer has access to message logs, or information derived therefrom, for groups of computer assets, and is thus able to generate policies based on intelligence from an entire group as opposed to an isolated asset. Among other effects, some of the approaches, techniques, and mechanisms may be effective even in computing environments with limited supervision over the attack surface, and/or computing environments in which assets may need to make independent decisions with respect to how incoming messages should be handled, on account of latency and/or unreliability in connections to other system components.

A method for collecting, presenting to stake-holders, reviewing and cleansing data about users and their entitlements in a networked computer environment, called access certification, is presented. This method begins with automated prompts sent to stake-holders, such as managers or application owners, asking them to review a list of their subordinates or users. Stake-holders are required to either certify or mark for later deletion each user. Next, stake-holders review the detailed security entitlements of each subordinate or user, again either certifying or flagging for deletion each item. Finally, stake-holders are asked to provide an electronic signature, indicating completion of their review process. To motivate stake-holder completion of the process, and to roll-up results across an organization, stake-holders are prevented from completing the signature step until all subordinate stake-holders have likewise completed. The present invention provides a feasible method for identifying and eliminating user accounts that are either no longer needed by their owners, or belong to owners who are no longer legitimate users of an organization's computer systems. The same method is used to identify and eliminate entitlements assigned to users who no longer need them. Removal of such stale, obsolete or incorrect users, login accounts, user objects, group memberships and security, entitlements is essential in order to reduce the security exposure (attack surface) posed by excessive privileges and unused accounts, and to comply with government and other regulations stipulating effective internal controls, especially over financial data, and computer security best practices.

The subject disclosure presents a novel technique for balancing the tradeoff between security monitoring and energy consumption on mobile devices. Security/energy tradeoffs for host-based detectors focusing on rootkits are analyzed along two axes: a scanning frequency, and a surface of attack. Experimental results are applied to a hypervisor-based framework, and a sweet spot is identified to minimize both energy consumption and a window of vulnerability for critical operating system objects such as code pages and kernel data.

This invention discloses systems and methods for detecting vulnerabilities in IT assets by utilizing crowdsourcing techniques. A corpus containing vulnerability data of IT assets with known vulnerabilities is established. Vulnerability data in the corpus comprises security aspects or attributes related to the IT assets. The security aspects of an IT asset constitute its attack surface which is represented as a feature vector in a feature space. A determination is made as to how similar/close a target asset whose unknown vulnerabilities are to be detected, is to the rest of the IT assets in the corpus. This determination is made based on a measure of similarity/distance between the respective feature vectors in the feature space. Based on the review of similarity results by a community of researchers/experts, a determination of unknown vulnerabilities in the target system is made.

The invention comprises a method of using sensor agents to collect information in a central location to determine the entire attack surface of all certificate based resources, which includes vulnerable, insecure, or unknown resources but also includes where all the secure resources are located and the attack surface for each certificate resource. If a vulnerable resource is detected, the system may initiated additional sensor agents to determine the threat caused by the vulnerability. The system can also assign a rating to the overall security of the network based on vulnerabilities and display the attack surface as a topographic format for easy review by administrators.

The embodiment of the invention discloses a method and a device for searching application vulnerabilities, and a system. The method comprises the following steps that: according to the static program detection information and the operation environment detection information of an application, determining the attack surface of the application; obtaining monitoring data corresponding to the attack surface when the application is operated; and according to the monitoring data corresponding to the attack surface and a network intrusion detection rule corresponding to the attack surface, determining the attack surface which may have vulnerabilities in the attack surface of the application, wherein the network intrusion detection rule of the attack surface is configured by aiming at the attack surface and is used for detecting network intrusion.

The present invention provides a fine-grained sandbox policy mining method for a Linux container, which automatically mines and generates a customized sandbox policy of a target container. The policycomplies with the principle of least privilege, and reduces the attack surface by limiting the system call type and parameters of the target container. The method comprises that: a container behaviormonitoring control module starts a Linux system monitoring tool, and monitors and records the system call behavior of the target container in real time; a container automation test module runs a testcase of the target container, and traverses the function of executing the target container; and a sandbox policy generation module extracts system call behavior characteristics of the target containerfrom the recorded monitoring data, and converts the system call behavior characteristics of the target container into a sandbox policy.

The invention belongs to the field of the information technology, and particularly relates to a mining method for the built-in application vulnerability of an Android system. The codes of each class of vulnerabilities are analyzed in detail, the class of vulnerability rule is sorted for each class of vulnerabilities, and different weights are attached according to the threat degree of each class of vulnerabilities; an APK (Android Package) file is decompiled, a corresponding executable file is disassembled, and a disassembling code is segmented; collected codes are generated into feature data, and an IDA (Interactive Disassembler) tool is imported to analyze a .so file; vulnerability matching is carried out; a .so file analysis result is combined to finally obtain a static weight report; before dynamic detection is started, an appointed APK file static report is obtained, the calling of an API (Application Program Interface) function is monitored; and through the integration of a Drozer dynamic analysis frame, various test commands are input in a command line, an attack surface is determined, and a test is carried out by aiming at an assaultable place. By use of the method, the safety of the developed APK can be quickly found, and the method has an important meaning for maintaining the stability and the business safety of the Android system.

Executable content on an endpoint is selectively patched based on the usage of the content. The usage of executable content on an endpoint is monitored. Based on the usage of the executable content, a usage score is calculated. The usage score indicates how often the executable content is used at the endpoint. Responsive to the usage score, a determination of whether to perform a patching action is made. If it is determined that a patching action is to be performed, a patching action is performed for the executable content.

The invention discloses a method and equipment for determining attack surfaces of terminals. The method comprises the steps of acquiring checking and killing records of N terminals, wherein the checking and killing records are used for recording the checking and killing situations of the N terminals on a malicious sample group, and N is a positive integer; and determining an attack surface, attacked by the malicious sample group, of each terminal among the N terminals according to the checking and killing records, wherein the attack surface is used for characterizing the threatening degree of the malicious sample group on the terminal. The method and the equipment can solve the technical problem that a data determination method fitter to a personalized network environment of an enterprise lacks in malicious sample defense of the enterprise in the prior art so that more specific defensive measures are difficult to make. Provided is a data determination method capable of directly exposing the weak link attacked by malicious samples most easily.

Embodiments are disclosed for limiting an attack surface of a server application by enforcing integrity of a message transmitted to the server application. An example method includes receiving, by communications circuitry of a receiving system hosting the server application, a message including specific message content and a token. The example method further includes determining, by authentication circuitry of the receiving system and using the specific message content, whether the token comprises a valid message integrity secure token. If the token comprises a valid message integrity secure token, the example method further includes performing, by response circuitry of the receiving system, an operation in response to the message. If not, the method may include generating, by the authentication circuitry of the receiving system, an error message. Corresponding apparatuses and computer program products are also provided.

The invention provides a cross-domain data security interconnection method and system based on federated learning, being characterized in that a federated learning concept is expanded to the field ofcross-domain data sharing in joint operation; under the condition that effective transverse information intercommunication cannot be carried out in each combat domain, through coordination of the third party trusted environment, the cooperative analysis of the combat situation and the execution of related combat tasks are completed by efficiently cooperating with each combat domain, and then the purpose that the original data of each combat domain cannot be locally transmitted is achieved, and the data transmission service and the data security interconnection are minimized, and the attack surface, the exposed surface and the network bandwidth of the combat data are effectively reduced, and the systematic performance of the joint combat is ensured; moreover, the combat domains and the third-party trusted environment only interact with the encrypted and signed models and parameters, so that data security interconnection among the combat domains is realized while data barriers among thecombat domains are broken through, and effective support is provided for cross-domain data security sharing in a joint combat process.

The invention provides a security micro-service architecture based on a zero-trust access policy and an implementation method. The architecture comprises an identity authentication center, a micro-service domain, an internal security domain, a public API agent and a private API agent; the identity authentication center comprises an access policy module, an encryption and decryption module, a security production authentication module and a trust engine module; the trust engine module is used for executing identity verification and generating a short-term Access Token and a Refresh Token; the implementation process comprises the steps of requesting resources, performing single sign-on and identity verification, allocating permissions, returning Token, filtering and checking the validity of the Token to execute access. And when the calling party needs to arrive at the internal security domain, the private API agent is accessed through the Facade service, and the matched additional authorization level is transmitted. According to the method, the short-term Token is generated through identity verification and an authorization mechanism so as to protect the distributed micro-service isolated from the front-end system, the security priority level of the micro-service is adjusted in real time through the private API agent, the possible attack surface of the micro-service system is reduced, and a deep defense strategy is realized.

The invention relates to a loophole finding and emergency verification implementation method comprising the five steps of system formation setting, loophole detection system configuration, loophole detection, loophole elimination and system upgrade. On the one hand, the system is simple in formation, flexible in structure adjustment, and capable of effectively meeting the risk loophole detection,assessment and pre-warning of the different network systems and contents; on the other hand, the data compatibility capacity is strong, the data detection operation efficiency and accuracy are high, various vulnerability risks in the network can be efficiently detection all around, the professional and effective security analysis and repair advice are provided, auditing is performed on a repair result through fitting with the security management process, the attack surface is furthest reduced, and thus the efficiency and security of the network data management operation are greatly improved.

The invention relates to the technical field of software security, and discloses an AI framework security evaluation method, device and equipment and a storage medium, and the method comprises the steps: obtaining a framework source code of a to-be-evaluated AI framework, carrying out the module composition analysis of the to-be-evaluated AI framework according to the framework source code, obtaining a framework composition analysis result, and carrying out the attack surface analysis of the to-be-evaluated AI framework; obtaining an attack surface analysis result, and performing security riskevaluation on the to-be-evaluated AI framework based on the framework composition analysis result and the attack surface analysis result to obtain a security risk evaluation result. According to themethod, the security risk evaluation is carried out on the AI framework by combining the component analysis of the module in the AI framework with the attack surface analysis of the module, so that compared with the existing traditional vulnerability mining technology and manual reverse analysis mode; on one hand, the comprehensiveness and accuracy of the risk evaluation can be ensured; on the other hand, the automation degree of risk evaluation and the perceptibility to safety risks can be improved.

The invention discloses a WEB dynamic security defense method and system. The method is based on a moving target defense technical thought. The invention provides an active dynamic defense mechanism for a WEB service system. When the protected WEB application service system is not attacked, the service entry or the resource address is actively transformed, so that the information of the backgroundof the server is effectively hidden and protected, the dynamics and uncertainty of the attacked surface of the system are realized in a randomized dynamic coding technical mode, the difficulty of network attack implementation is improved, and the anti-attack capability of the WEB application service system is effectively enhanced.