Starweaver – Threat Hunting Techniques 2026 BOOKWARE-LERNSTUF | Apps-Tutorials | MKV | 1.52 GiB
1 435 kb/s 1920×1080 | AAC 128 kb/s 2 CH eng
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Starweaver
Threat Hunting Techniques
2026
__. .. .
.. - - - /- --- _- [ R E L E A S E D E T A i L S ]- . ./\ . - __./---'
Release Date : 2026-07-18
Publisher : Starweaver
Title : Threat Hunting Techniques
Year : 2026
Month : 06
Category : Unknown
Language : English
Section : BOOKWARE
Files : 04 x 500 MB
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.. - - ___- _/ \____--[ R E L E A S E N O T E S ] _-- -\\_ ___--'-__ ..
https://learning.oreilly.com/videos/-/9781808340697/
In this 4-hour course, combine threat hunting with data science to uncover
hidden anomalies and suspicious behavior. Use Splunk, Jupyter, visualization,
MITRE ATTAndCK, and machine learning to build repeatable detection workflows.
What I will be able to do after this course Explore the threat hunting
lifecycle Analyze logs with Pandas and visuals Develop hypothesis-driven hunt
plans Apply ML-based anomaly detection Execute hunts in Splunk and Jupyter
Course Instructor Starweaver collaborates with a global network of expert
educators to deliver engaging, practical learning experiences. Focused on
empowering individuals and organizations, they equip learners with skills to
navigate challenges in technology, business, and design. Who is it for This
course is for SOC analysts, threat hunters, blue team engineers, cybersecurity
students, and defenders who want to move from reactive alert triage to
proactive investigation.
_ . __.
.. - - _//- ___\____---' [ R E C R U i T i N G ] . - _\_ ___--'-_ -- -_ .
iF YOU HAVE ANYTHiNG TO OFFER
CONTACT US ViA THE SCENE, OR EMAiL ADDRESS BELOW
... . ___.
.. - - ___- _/ \____--' \ [ G R E E T i N G S ] _-------' \\___-- - // .
GREETiNGS TO ALL THE PAST AND PRESENT SCENE GROUPS AND SCENERS WHO MADE
STUF AVAiLABLE FOR THOSE THAT MAY NOT OTHERWISE HAD THE PRiViLEGE
_ _ _
.. -_- -/_- __--\__ [ C O N T A C T D E T A i L S ] --- -___-- - \ - .
lernstuf [at] proton [dot] me
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File List:
46M 001-Chapter_1_Introduction 46M 001-Chapter_1_Introduction/001-course_introduction.mkv 386M 002-Chapter_2_Introduction_To_Industrial_Threat_Hunting 35M 002-Chapter_2_Introduction_To_Industrial_Threat_Hunting/002-module_introduction.mkv 31M 002-Chapter_2_Introduction_To_Industrial_Threat_Hunting/003-overview_of_threat_hunting_concepts_and_importance.mkv 30M 002-Chapter_2_Introduction_To_Industrial_Threat_Hunting/004-how_to_plan_threat_hunt.mkv 26M 002-Chapter_2_Introduction_To_Industrial_Threat_Hunting/005-how_to_document_threat_hunt.mkv 22M 002-Chapter_2_Introduction_To_Industrial_Threat_Hunting/006-hunting_methodologies.mkv 52M 002-Chapter_2_Introduction_To_Industrial_Threat_Hunting/007-telemetry_and_data_sources.mkv 43M 002-Chapter_2_Introduction_To_Industrial_Threat_Hunting/008-essential_tools_for_threat_hunting.mkv 44M 002-Chapter_2_Introduction_To_Industrial_Threat_Hunting/009-explore_mitre_attandck.mkv 66M 002-Chapter_2_Introduction_To_Industrial_Threat_Hunting/010-how_to_use_mitre_navigator.mkv 41M 002-Chapter_2_Introduction_To_Industrial_Threat_Hunting/011-from_attandck_to_action_building_a_hunt_matrix_for_real_threats.mkv 326M 003-Chapter_3_Data_Science_For_Cybersecurity 36M 003-Chapter_3_Data_Science_For_Cybersecurity/012-module_introduction.mkv 15M 003-Chapter_3_Data_Science_For_Cybersecurity/013-parsing_and_cleaning_logs.mkv 30M 003-Chapter_3_Data_Science_For_Cybersecurity/014-techniques_for_log_parsing_and_cleaning_part_1.mkv 28M 003-Chapter_3_Data_Science_For_Cybersecurity/015-techniques_for_log_parsing_and_cleaning_part_2.mkv 39M 003-Chapter_3_Data_Science_For_Cybersecurity/016-introduction_to_feature_engineering.mkv 18M 003-Chapter_3_Data_Science_For_Cybersecurity/017-visualizing_behaviors.mkv 54M 003-Chapter_3_Data_Science_For_Cybersecurity/018-threat_hunting_visualization.mkv 27M 003-Chapter_3_Data_Science_For_Cybersecurity/019-what_is_security_focused_visualization.mkv 46M 003-Chapter_3_Data_Science_For_Cybersecurity/020-create_your_own_visualization.mkv 37M 003-Chapter_3_Data_Science_For_Cybersecurity/021-top_security_visualizations_every_threat_hunter_should_use.mkv 383M 004-Chapter_4_ML_Algorithms_For_Threat_Detection 28M 004-Chapter_4_ML_Algorithms_For_Threat_Detection/022-module_introduction.mkv 13M 004-Chapter_4_ML_Algorithms_For_Threat_Detection/023-introduction_to_unsupervised_ml.mkv 38M 004-Chapter_4_ML_Algorithms_For_Threat_Detection/024-understand_different_process_of_unsupervised_learning_models.mkv 28M 004-Chapter_4_ML_Algorithms_For_Threat_Detection/025-evaluating_and_tuning_ml_models.mkv 62M 004-Chapter_4_ML_Algorithms_For_Threat_Detection/026-suspicious_login_hunting.mkv 51M 004-Chapter_4_ML_Algorithms_For_Threat_Detection/027-graphical_representation_of_anomaly.mkv 71M 004-Chapter_4_ML_Algorithms_For_Threat_Detection/028-event_correlation.mkv 22M 004-Chapter_4_ML_Algorithms_For_Threat_Detection/029-general_pitfalls_in_threat_detection.mkv 23M 004-Chapter_4_ML_Algorithms_For_Threat_Detection/030-different_ml_techniques.mkv 51M 004-Chapter_4_ML_Algorithms_For_Threat_Detection/031-how_to_choose_best_ml_model.mkv 362M 005-Chapter_5_Operationalizing_In_Splunk_And_Jupyter 45M 005-Chapter_5_Operationalizing_In_Splunk_And_Jupyter/032-module_introduction.mkv 45M 005-Chapter_5_Operationalizing_In_Splunk_And_Jupyter/033-understand_splunk_architecture.mkv 29M 005-Chapter_5_Operationalizing_In_Splunk_And_Jupyter/034-log_ingestion_in_splunk.mkv 29M 005-Chapter_5_Operationalizing_In_Splunk_And_Jupyter/035-search_operation_in_splunk.mkv 24M 005-Chapter_5_Operationalizing_In_Splunk_And_Jupyter/036-writing_spl_for_data_prep.mkv 29M 005-Chapter_5_Operationalizing_In_Splunk_And_Jupyter/037-jupyter_detection_pipeline.mkv 38M 005-Chapter_5_Operationalizing_In_Splunk_And_Jupyter/038-threat_hunt_notebook_example.mkv 29M 005-Chapter_5_Operationalizing_In_Splunk_And_Jupyter/039-splunk_and_jupyter_integration_part_1.mkv 46M 005-Chapter_5_Operationalizing_In_Splunk_And_Jupyter/040-elastic_and_jupyter_integration_part_2.mkv 53M 005-Chapter_5_Operationalizing_In_Splunk_And_Jupyter/041-real_hunt_execution.mkv 54M 006-Chapter_6_Conclusion 54M 006-Chapter_6_Conclusion/042-course_wrap_up_video.mkv 652K LERNSTUF 648K LERNSTUF/lernstuf_introduction_2025.rar 1.6G total
File: 001-course_introduction.mkv Size: 47321061 bytes (45.13 MiB), duration: 00:04:23, avg.bitrate: 1439 kb/s Audio: aac, 44100 Hz, stereo (eng) Video: h264, yuv420p, 1920x1080, 29.97 fps(r) Subtitles: eng
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Keywords: Starweaver, 8211, Threat, Hunting, Techniques, 2026, BOOKWARE, LERNSTUFDownload from Nitroflare
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