- Working with Bit Patterns in Clients Last Seen - Mozilla
The org_mozilla_fenix baseline_clients_last_seen table includes two bit patterns that encode client timestamps: days_seen_session_start_bits and days_seen_session_end_bits
- Adding first-seen last-seen to dataset with new flags #1 - GitHub
Whilst the captured data is good, it fails in conditions where there's load balancing in place (as the IP will rotate on each capture) Suggested fix to this is to add two date fields, first-seen and last-seen, potentially also seen as a
- What is First Seen and Last Seen Date? | RedHunt Labs
In Asset exposure, "First Seen" would denote the date when the asset was firstly detected, and "Last Seen" would indicate the date of the most recent observation of the asset As an instance, suppose there is a suspected data leak
- Explore - Pulsedive
Our Explore query language enables searching across our dataset with boolean logic and wildcards You can search indicators with any combination of indicator value, type, risk, last seen timestamp, threat, feed, attribute, and or property
- Context visability - First Seen Last Seen - Cisco Community
Is there any easy way to view report on when an endpoint (Mac Address) was first added to the ISE DB? and when it was last seen?
- Long Connections :: Threat Hunting Labs - GitHub Pages
From here you can see which TCP connections were held open for the longest In the image above we have a connection from 10 55 100 100 to 65 52 108 255 on port 443 (HTTPS) that was open for 86,222 seconds, or 23 95 hours Next, select the UDP tab and apply the same sort by clicking on the Duration column twice
- Open HTTPS Dataset - LORIA
The scanning process was automated using a local machine and a pre-configured remote proxy to dump all packets with port number 443 (HTTPS port) The Chrome part of the dataset includes 250,185 HTTPS flows related to 7977 services websites
- IOC matching in Chronicle SIEM - Medium
In this post I explore different ways within Chronicle SIEM to perform Indicator of Compromise (IOC) matching, be that via Entity Graph, automated IOC Domain matching, Dashboards, BigQuery, APIs,
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