
Learn threat hunting with Splunk and SPL across infrastructure and networks, detecting Windows, Active Directory, and lateral movement threats through labs, data science, and threat intelligence integrations.
Learn to bulk install apps and add-ons by downloading from Splunkbase, extracting .tgz files, transferring them to the Splunk apps directory with FileZilla, and restarting Splunk.
Install bots datasets in Splunk by downloading add-ons, transferring the dataset to /opt, and using splunk install app, then search index=bots version one, repeat for versions two and three.
Import attack logs into Splunk by installing the Sysmon and Windows add-ons, then upload Sysmon and Windows event logs with correct source types, verify with index=main searches.
Leverage top and rare commands in Splunk to detect defense evasion and display top and rare processes from 4688 events in Windows Security eventlog (botsversion3 index).
Explore mimikatz, an open-source tool that extracts passwords and credentials from memory to enable unauthorized access, privilege escalation, and lateral movement; learn to detect mimikatz activity with Splunk.
NTLM authentication works on Windows networks, including domain username, password hash, a 16-byte challenge, and a response verified by the domain controller, with Kerberos as a fallback.
Explore normal distribution, gaussian distribution, standard deviation, and the empirical rule, and learn how Splunk uses these concepts to narrow search ranges, address outliers, and the limits of single-method analysis.
Detect ICMP tunnel outliers with data science and Splunk by calculating average and standard deviation of ICMP packet counts, bounding with two standard deviations, and flagging outliers.
Detect SMB anomalies in Splunk by calculating per source and per destination connection counts, applying seven standard deviation bounds on 139 and 445 traffic to flag outliers.
Learn to enrich Splunk logs with a malware lookup by joining the domain field to malware.csv, adding reasons and references to Sysmon event data, and displaying results in a table.
Learn how to integrate MISP with Splunk to transfer IOCs and threats using the MISP 42 app and API key for enhanced threat hunting.
Detect cyber-attacks with ChatGPT and Splunk by running searches that reveal openai_prompt, openai_model, and openai_response, and assess whether commands are malicious or encoded (base64) by asking multiple questions.
RITA analyzes Zeek logs and PCAPs to detect malicious activity through statistical analysis, offering beacon detection, DNS tunneling detection, long connections, user-agent viewing, and blacklist checks.
Install Rita on Ubuntu 20.04, make install.sh executable with chmod 755, run with sudo to import Zeek logs and parse into a 48-hour dataset; view beacons via Rita show dash.
The SOC Cybersecurity Threat Hunting with Splunk training course has been developed and edited by Mohammad Mirasadollahi in an online format, consisting of 68 instructional videos on Splunk, along with practical course files. The course covers Threat hunting with Splunk from beginner to advanced levels, based on the latest Cybersecurity standard educational topics in the world. It has been published as a practical course on Udemy under the title "SOC Cybersecurity Threat Hunting with Splunk."
With SOC Cybersecurity Threat Hunting with Splunk course, you will be able to easily identify cyber-attacks using Splunk in any SOC. Learning Threat Hunting with Splunk in SOC is one of the most important skills required by organizations in the field of information security.
The complexity of Cybersecurity attacks in recent years has rendered traditional methods ineffective in detecting advanced Cybersecurity attacks and APT groups. As a result, relying solely on traditional approaches such as firewalls, antivirus software, and EDR is no longer sufficient, and we need cybersecurity experts in the field of threat detection and identification.
Currently, cybersecurity analysts in Security Operations Centers (SOCs) can detect various attacks by analyzing and dissecting events received from different infrastructure and software, relying on their knowledge and various tools.
Cybersecurity experts and analysts require technology for continuous log analysis, which involves aggregating logs in a central system called SIEM (Security Information and Event Management). With the capabilities provided by SIEM, they can detect cyber threats.
SIEMs are referred to as the beating heart of every SOC. Currently, one of the most powerful SIEMs available worldwide, with many followers, is Splunk software.
Splunk is a software used for data storage, search, investigation, and analysis. Cybersecurity experts can use Splunk Enterprise to examine and analyze data, identify patterns, and establish logical connections between data to detect complex Cybersecurity attacks.
Therefore, many organizations are striving to migrate from traditional methods to modern ones for better Cybersecurity attack detection. Due to the importance of cybersecurity experts in data analysis, log and event analysis, and the popularity of Splunk SIEM software, the SOC Cybersecurity Threat Hunting with Splunk training course will cover the techniques of threat hunting, investigation, analysis, and detection of Cybersecurity attacks using Splunk.