FULL-STACK SYSTEM AND METHOD FOR BLOCKCHAIN ANALYTICS

    公开(公告)号:US20200372014A1

    公开(公告)日:2020-11-26

    申请号:US16880575

    申请日:2020-05-21

    Abstract: A system and method for performing full-stack blockchain analytics is disclosed. For example, blockchain analysis system comprises a blockchain operation module which integrates with the blockchain network and contains the data source that contains a plurality of blockchain data. The analysis system further comprises a blockchain analysis module that parses and analyzes the blockchain data. Additionally, the system comprises a blockchain tag module that determines a plurality of customizable tags based on the blockchain data and external data sources, and defines a low-level query interface that integrates customizable tags as objects into the blockchain data. The analysis system also comprises a blockchain search module that receives a blockchain search request, maintains a plurality of search indexes and a plurality of user-specific data, and determines a blockchain search result based on the blockchain search request and a plurality of tagged and untagged blockchain data.

    Phishing domain detection systems and methods

    公开(公告)号:US11546377B2

    公开(公告)日:2023-01-03

    申请号:US17229386

    申请日:2021-04-13

    Abstract: The main objective of Certificate Transparency (CT) is to detect mis-issued certificates or rouge certificate authorities. It has been observed that phishing sites have been increasingly acquiring certificates to look more legitimate and reach more victims, thus providing an opportunity to predict phishing domains early. The present disclosure provides systems and methods for early detection of phishing and benign domain traces in CT logs. The provided system may predict phishing domains early even before content is available via time-, issuer-, and certificate-based characteristics that are used to identify sets of CT-based inexpensive and novel features. The CT-features are augmented with other features including passive DNS (pDNS) and domain-based lexical features.

    SCALABLE DARKWEB ANALYTICS
    4.
    发明公开

    公开(公告)号:US20240171605A1

    公开(公告)日:2024-05-23

    申请号:US18386486

    申请日:2023-11-02

    CPC classification number: H04L63/1441 G06F16/53 G06F16/951

    Abstract: Scalable darkweb analytics are provided by crawling content offered by a plurality of onion services; sanitizing the content from each onion service of the plurality of onion services into sanitized content that represents potentially malicious content in a non-malicious form; storing, in a database, the sanitized content in association with a unique identity for each onion service of the plurality of onion services; receiving a request for information related to a given onion service of the plurality of onion services; and providing, in response to the request, the information based on the sanitized content

    PHISHING DOMAIN DETECTION SYSTEMS AND METHODS

    公开(公告)号:US20210320946A1

    公开(公告)日:2021-10-14

    申请号:US17229386

    申请日:2021-04-13

    Abstract: The main objective of Certificate Transparency (CT) is to detect mis-issued certificates or rouge certificate authorities. It has been observed that phishing sites have been increasingly acquiring certificates to look more legitimate and reach more victims, thus providing an opportunity to predict phishing domains early. The present disclosure provides systems and methods for early detection of phishing and benign domain traces in CT logs. The provided system may predict phishing domains early even before content is available via time-, issuer-, and certificate-based characteristics that are used to identify sets of CT-based inexpensive and novel features. The CT-features are augmented with other features including passive DNS (pDNS) and domain-based lexical features.

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