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    AUTOMATIC ELECTRONIC MESSAGE FILTERING METHOD AND APPARATUS
    3.
    发明公开
    AUTOMATIC ELECTRONIC MESSAGE FILTERING METHOD AND APPARATUS 审中-公开

    公开(公告)号：US20240364652A1

    公开(公告)日：2024-10-31

    申请号：US18764460

    申请日：2024-07-05

    申请人： YAHOO ASSETS LLC

    发明人： Ariel RAVIV ,  Dan PELLEG ,  Ran WOLFF ,  Gal LALOUCHE ,  Noa AVIGDOR-ELGRABLI

    IPC分类号： H04L51/212 ,  H04L51/42

    CPC分类号： H04L51/212 ,  H04L51/42

    摘要： Disclosed are systems and methods for improving interactions with and between computers in electronic messaging and/or providing systems supported by or configured with personal computing devices, servers and/or platforms. The disclosed systems and methods provide systems and methods for generating electronic message filters and for using electronic message filters comprising item category filtering criteria and having an automatically-determined expiration. The discloses systems and methods filter electronic messages using the item category filtering criteria while an electronic message filter remains active as determined using the automatically-determined expiration information.

    Automatic document classification
    4.
    发明授权
    Automatic document classification 有权

    公开(公告)号：US12125000B2

    公开(公告)日：2024-10-22

    申请号：US17936624

    申请日：2022-09-29

    申请人： Text IQ, Inc.

    发明人： Apoorv Agarwal ,  Ethan Benjamin ,  Jasneet Singh Sabharwal

    IPC分类号： G06Q10/107 ,  G06F40/284 ,  G06N20/00 ,  H04L51/212

    CPC分类号： G06Q10/107 ,  G06F40/284 ,  G06N20/00 ,  H04L51/212

    摘要： A method to automatically classify emails may include generating multiple entity data objects using entities identified in receiver and sender fields of emails and categorizing the multiple entity data objects into a first set of data objects and a second set of data objects. The method may also include extracting all tokens from each email and searching the extracted tokens for tokens associated with the data objects of the first set of data objects. The method may further include identifying the emails that include the extracted tokens that are associated with the data objects of the first set of data objects, identifying a particular data object of the first set of data objects to which an identified email corresponds, and automatically classifying the identified email in the first category in response to identifying the particular data object of the first set of data objects to which an identified email corresponds.

    Regulation of SPF policy terms
    5.
    发明授权
    Regulation of SPF policy terms 有权

    公开(公告)号：US12120079B2

    公开(公告)日：2024-10-15

    申请号：US18353926

    申请日：2023-07-18

    申请人： Fraudmarc Inc.

    发明人： Keith Wayne Coleman ,  Richard Duncan

    IPC分类号： H04L51/212 ,  H04L9/40

    CPC分类号： H04L51/212 ,  H04L63/20

    摘要： Sender Policy Framework (SPF) is a widely used method of distinguishing authorized email from unauthorized email. SPF policies are published into a domain's DNS and then looked up and evaluated by mail receivers. Due to the complexity and limitations of the SPF specification, implementation mistakes and risks are widespread. This problem is compounded by the common practice of nesting SPF policies which introduces hidden risks, particularly exceeding DNS lookup limits. Embodiments of the present disclosure enable new SPF techniques such as selectively inactivating parts of a policy by introducing a virtual-all term, designed to secure against the third-party term inclusions in the policy. When the primary policy is online, the virtual-all term may serve as a terminate policy evaluation much like a traditional “all” term. If the primary policy is offline, a “fail open” may be produced, allowing policy evaluation to proceed into previously inactivated segment of the policy.

    SYSTEM AND METHOD FOR IMPROVING DETECTION OF BAD CONTENT BY ANALYZING REPORTED CONTENT
    6.
    发明公开
    SYSTEM AND METHOD FOR IMPROVING DETECTION OF BAD CONTENT BY ANALYZING REPORTED CONTENT 审中-公开

    公开(公告)号：US20240340260A1

    公开(公告)日：2024-10-10

    申请号：US18746801

    申请日：2024-06-18

    申请人： Proofpoint, Inc.

    发明人： Mark Stetzer ,  Dharmin Shah ,  Kehkashan Sadiq Fazal ,  Remy Bubulka ,  Luis Blando

    IPC分类号： H04L51/212

    CPC分类号： H04L51/212

    摘要： Systems, methods and products for increasing efficiency of resource usage by determining the reliability of reporters of unwanted messages and prioritizing evaluation of messages based on the reliability scores. Reports of unwanted messages are evaluated to determine whether they are bad. If an unwanted message is bad, a score for the reporter is updated to reflect a positive credit. A set of safe rules are applied to the message to determine whether it is safe and if the message is determined to be safe, the reporter score corresponding to the reporter is updated to reflect a non-positive (zero or negative) credit. If the message is determined to be neither bad nor safe, the message is entered in a reevaluation queue and, after a waiting period, the message evaluation is repeated using updated threat information, and the reporter score is updated according to the reevaluation.

    Computerized system for analysis of vertices and edges of an electronic messaging system
    10.
    发明授权
    Computerized system for analysis of vertices and edges of an electronic messaging system 有权

    公开(公告)号：US12101284B2

    公开(公告)日：2024-09-24

    申请号：US17536380

    申请日：2021-11-29

    申请人： Virtual Connect Technologies, Inc.

    发明人： Benjamin Hathaway ,  David Setzer

    IPC分类号： H04L9/40 ,  H04L51/212

    CPC分类号： H04L51/212 ,  H04L63/12 ,  H04L63/1483 ,  H04L63/126

    摘要： A computerized system for analysis of vertices and edges of an electronic messaging system comprising: an analytical computer system configured to: receive an electronic message at the network perimeter and sent from a sender's electronic message system outside the perimeter wherein the electronic message is associated with a sender identity and a designated recipient wherein the recipient is within a network perimeter, designating the sender as a first node in a relationship network, designating the recipient as a second node in the relationship network, designating a historic communications pattern between the sender and the recipient as a third node, calculating a confidence value according to the first node, the second node and the third node. The system can create nodes and edges as part of a initial installation or can be connected to an existing system wherein historical data can be used to create nodes and calculate edges values.