| x86_64-darwin paperless-ng | |
| i686-linux gnome.gnome-panel | |
| x86_64-linux lilypond | |
| x86_64-linux arx-libertatis | |
| aarch64-linux gnome.gnome-applets | |
| aarch64-linux beetsExternalPlugins.extrafiles | |
| x86_64-darwin python39Packages.diagrams | |
| aarch64-linux optar | |
| aarch64-linux solfege | |
| i686-linux imagemagickBig |
| 0.lastpass.com | |
| 38.127.167.44.lastpass.com.herndon-44.lastpass.com | |
| accounts.lastpass.com | |
| blog.lastpass.com | |
| .cloud.lastpass.com | |
| cloud.lastpass.com | |
| contabo-1.lastpass.com | |
| de.lastpass.com | |
| de-xmarks.lastpass.com | |
| do-10.lastpass.com |
| Original Message | |
| Message ID <[email protected]> | |
| Created at: Mon, Feb 6, 2017 at 5:48 PM (Delivered after 7454 seconds) | |
| From: LastPass <[email protected]>Using LastPass.com (www.lastpass.com) | |
| To: "[email protected]" <[email protected]> | |
| Subject: LastPass Verification Email | |
| SPF: PASS with IP 74.84.128.88 Learn more | |
| DKIM: PASS with domain lastpass.com Learn more | |
| DMARC: PASS Learn more |
Either copy the aliases from the .gitconfig or run the commands in add-pr-alias.sh
Easily checkout local copies of pull requests from remotes:
git pr 4 - creates local branch pr/4 from the github upstream(if it exists) or origin remote and checks it outgit pr 4 someremote - creates local branch pr/4 from someremote remote and checks it out
READ pallets/flask#1938
| #!/usr/bin/env python3 | |
| # auto-generated using Selinon v1.1.0 on YUNITTO.local at 2019-08-01 08:32:04.649657 | |
| from demo_worker.foreach import iter_travis_builds as _foreach__travis_repo_builds_1 | |
| from demo_worker.foreach import iter_travis_builds_count as _foreach_travis_repo_logs_1 | |
| from demo_worker.foreach import iter_travis_repos as _foreach_travis_org_logs_1 | |
| from demo_worker.tasks import HelloTask as HelloTask | |
| from demo_worker.tasks import TravisActiveRepos as TravisActiveRepos | |
| from demo_worker.tasks import TravisRepoBuilds as TravisRepoBuilds | |
| from demo_worker.tasks import TravisLogTxt as TravisLogTxt |
Networks are everywhere in a data-driven world: social networks, product purchasing networks, supply chain networks, or even biological networks. If your company sells anything to anyone, you will have data that can be modelled as a network, the mathematical term for which is a "graph". Analyzing these graphs can explain how fundamental social, commercial, and physical systems behave, and consequently, how to make money from them (Google revenue in 2012: $50 billion).
The problem is, there is often so much data that it can be hard to tell what one should even try to analyze. One of the first questions to ask then is "which parts of my graph dataset are the most important?"--for example, before one can investigate how Twitter users become influential, one has to find who the most influential Twitter users are in the first place.
A well-known algorithm for finding the most important nodes in a graph is called [Pagerank](http://en.wi
| General | |
| Change root password su into root account, passwd | |
| User modification Add useradd | |
| Delete userdel | |
| Modify usermod | |
| Change Password passwd | |
| View users Logged in w –i who | |
| All users cat /etc/passwd | cut -d':' -f1 | |
| Who can sudo visudo Identify privileged users and groups | |
| cat /etc/group Identify users in privileged groups |
| updated inheritance | |
| parent: //base/trace_event | |
| child: //services/tracing | |
| gain: teamEmail: u'[email protected]' | |
| updated inheritance | |
| parent: //chrome/browser/nearby_sharing | |
| child: //chromeos/services/nearby | |
| gain: teamEmail: u'[email protected]' | |
| updated inheritance | |
| parent: //chrome/browser/ash/login/easy_unlock |
These are my notes on FireEye's yara rules for it's red team's tools.
These are the public projects that I could identify to be directly associated with a tool:
| Project | Source |
|---|---|
| AndrewSpecial | https://github.com/hoangprod/AndrewSpecial |
| BloodHound | https://github.com/BloodHoundAD/BloodHound |