Cyber security refers to every aspect of protecting an organization and its employees and assets against cyber threats. As cyberattacks become more common and sophisticated and corporate networks grow more complex, a variety of cyber security solutions are required to mitigate corporate cyber risk.
The CEH v11 program provides an in-depth understanding of ethical hacking phases, various attack vectors, and preventative countermeasures. It will teach you how hackers think and act maliciously so that you will be better positioned to set up your security infrastructure and defend against future attacks.
Computer security is the process of preventing and detecting unauthorized use of our computer. Prevention measures help us to stop unauthorized users from accessing any part of your computer system. Detection helps us to determine whether or not someone attempted to break into the system, if they were successful, and what they may have done.
Cyber security refers to every aspect of protecting an organization and its employees and assets against cyber threats. As cyberattacks become more common and sophisticated and corporate networks grow more complex, a variety of cyber security solutions are required to mitigate corporate cyber risk.
The CEH v11 program provides an in-depth understanding of ethical hacking phases, various attack vectors, and preventative countermeasures. It will teach you how hackers think and act maliciously so that you will be better positioned to set up your security infrastructure and defend against future attacks.
Computer security is the process of preventing and detecting unauthorized use of our computer. Prevention measures help us to stop unauthorized users from accessing any part of your computer system. Detection helps us to determine whether or not someone attempted to break into the system, if they were successful, and what they may have done.
The term malware refers to software designed to intentionally damage a computer, a server, a client or a computer network. Alternatively, a software defect happens when a faulty component leads to unintentional harm.
2017-07-16
A training for learning the internal of malware.
This version is the compressed version of Malware Engineering & Crafting.
We talk about malware as well as crafting the simple working malware. The goal of this session is to understand malware internal so one can have tactics to combat it.
Press articles often try to simplify reading and, as a result, don’t always go that much into detail when illustrating a new cyber-attack to the broad public. That being said, we thought it might be helpful to write a post on this exact topic and demystify malware typology. Because, whereas we might not all be cybersecurity prodigies, understanding more about the threats on our machines can help us better protect ourselves. Without further ado, we give to you our very own Malware Dictionary.
A presentation made during the international Youth Exchange called Digital Danger and financed Erasmus+ Programme through Dům zahraniční spolupráce and the European Union
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
The term malware refers to software designed to intentionally damage a computer, a server, a client or a computer network. Alternatively, a software defect happens when a faulty component leads to unintentional harm.
2017-07-16
A training for learning the internal of malware.
This version is the compressed version of Malware Engineering & Crafting.
We talk about malware as well as crafting the simple working malware. The goal of this session is to understand malware internal so one can have tactics to combat it.
Press articles often try to simplify reading and, as a result, don’t always go that much into detail when illustrating a new cyber-attack to the broad public. That being said, we thought it might be helpful to write a post on this exact topic and demystify malware typology. Because, whereas we might not all be cybersecurity prodigies, understanding more about the threats on our machines can help us better protect ourselves. Without further ado, we give to you our very own Malware Dictionary.
A presentation made during the international Youth Exchange called Digital Danger and financed Erasmus+ Programme through Dům zahraniční spolupráce and the European Union
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on the notifications, alerts, and approval requests using Slack for Bonterra Impact Management. The solutions covered in this webinar can also be deployed for Microsoft Teams.
Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
Connector Corner: Automate dynamic content and events by pushing a buttonDianaGray10
Here is something new! In our next Connector Corner webinar, we will demonstrate how you can use a single workflow to:
Create a campaign using Mailchimp with merge tags/fields
Send an interactive Slack channel message (using buttons)
Have the message received by managers and peers along with a test email for review
But there’s more:
In a second workflow supporting the same use case, you’ll see:
Your campaign sent to target colleagues for approval
If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team
But—if the “Reject” button is pushed, colleagues will be alerted via Slack message
Join us to learn more about this new, human-in-the-loop capability, brought to you by Integration Service connectors.
And...
Speakers:
Akshay Agnihotri, Product Manager
Charlie Greenberg, Host
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Albert Hoitingh
In this session I delve into the encryption technology used in Microsoft 365 and Microsoft Purview. Including the concepts of Customer Key and Double Key Encryption.
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf
Types of Malware.docx
1. Lecture 2
What are the Types of Malware?
While there are many different variations of malware, you are most likely to
encounter the following malware types:
Type What It Does
Ransomware disables victim's access to data until ransom is paid
Fileless Malware makes changes to files that are native to the OS
Spyware collects user activity data without their knowledge
Adware serves unwanted advertisements
Trojans disguises itself as desirable code
Worms spreads through a network by replicating itself
Rootkits gives hackers remote control of a victim's device
Keyloggers monitors users' keystrokes
Bots launches a broad flood of attacks
Mobile Malware infects mobile devices
Below, we describe how they work and provide real-world examples of each.
2. 1. Ransomware
Ransomware is software that uses encryption to disable a target’s access to its data
until a ransom is paid. The victim organization is rendered partially or totally unable
to operate until it pays, but there is no guarantee that payment will result in the
necessary decryption key or that the decryption key provided will function properly.
Example of a ransom letter
Ransomware Example:
This year, the city of Baltimore was hit by a type of ransomware named RobbinHood,
which halted all city activities, including tax collection, property transfers, and
government email for weeks. This attack has cost the city more than $18 million so
far, and costs continue to accrue. The same type of malware was used against the
city of Atlanta in 2018, resulting in costs of $17 million.
2. Fileless Malware
Fileless malware doesn’t install anything initially, instead, it makes changes to files
that are native to the operating system, such as PowerShell or WMI. Because the
operating system recognizes the edited files as legitimate, a fileless attack is not
caught by antivirus software — and because these attacks are stealthy, they are up
to ten times more successful than traditional malware attacks.
3. Fileless Malware Example:
Astaroth is a fileless malware campaign that spammed users with links to a .LNK
shortcut file. When users downloaded the file, a WMIC tool was launched, along with
a number of other legitimate Windows tools. These tools downloaded additional code
that was executed only in memory, leaving no evidence that could be detected by
vulnerability scanners. Then the attacker downloaded and ran a Trojan that stole
credentials and uploaded them to a remote server.
3. Spyware
Spyware collects information about users’ activities without their knowledge or
consent. This can include passwords, pins, payment information and unstructured
messages.
The use of spyware is not limited to the desktop browser: it can also operate in a
critical app or on a mobile phone.
Even if the data stolen is not critical, the effects of spyware often ripple throughout
the organization as performance is degraded and productivity eroded.
Spyware Example:
DarkHotel, which targeted business and government leaders using hotel WIFI, used
several types of malware in order to gain access to the systems belonging to specific
powerful people. Once that access was gained, the attackers installed key loggers to
capture their targets passwords and other sensitive information.
4. Adware
Adware tracks a user’s surfing activity to determine which ads to serve them. Although
adware is similar to spyware, it does not install any software on a user’s computer,
nor does it capture keystrokes.
The danger in adware is the erosion of a user’s privacy — the data captured by
adware is collated with data captured, overtly or covertly, about the user’s activity
elsewhere on the internet and used to create a profile of that person which includes
who their friends are, what they’ve purchased, where they’ve traveled, and more. That
information can be shared or sold to advertisers without the user’s consent.
Adware Example:
Adware called Fireball infected 250 million computers and devices in 2017, hijacking
browsers to change default search engines and track web activity. However, the
malware had the potential to become more than a mere nuisance. Three-quarters of
it was able to run code remotely and download malicious files.
4. 5. Trojan
A Trojan disguises itself as desirable code or software. Once downloaded by
unsuspecting users, the Trojan can take control of victims’ systems for malicious
purposes. Trojans may hide in games, apps, or even software patches, or they may
be embedded in attachments included in phishing emails.
Trojan Example:
Emotet is a sophisticated banking trojan that has been around since 2014. It is hard
to fight Emotet because it evades signature-based detection, is persistent, and
includes spreader modules that help it propagate. The trojan is so widespread that it
is the subject of a US Department of Homeland Security alert, which notes that
Emotet has cost state, local, tribal and territorial governments up to $1 million per
incident to remediate.
6. Worms
Worms target vulnerabilities in operating systems to install themselves into networks.
They may gain access in several ways: through backdoors built into software, through
unintentional software vulnerabilities, or through flash drives. Once in place, worms
can be used by malicious actors to launch DDoS attacks, steal sensitive data, or
conduct ransomware attacks.
Worm Example:
Stuxnet was probably developed by the US and Israeli intelligence forces with the
intent of setting back Iran’s nuclear program. It was introduced into Iran’s environment
through a flash drive. Because the environment was air-gapped, its creators never
thought Stuxnet would escape its target’s network — but it did. Once in the wild,
Stuxnet spread aggressively but did little damage, since its only function was to
interfere with industrial controllers that managed the uranium enrichment process.
7. Virus
A virus is a piece of code that inserts itself into an application and executes when the
app is run. Once inside a network, a virus may be used to steal sensitive data, launch
DDoS attacks or conduct ransomware attacks.
Viruses vs. Trojans
A virus cannot execute or reproduce unless the app it has infected is running. This
dependence on a host application makes viruses different from trojans, which require
users to download them, and worms, which do not use applications to execute. Many
instances of malware fit into multiple categories: for instance, Stuxnet is a worm, a
virus and a rootkit.
5. 8. Rootkits
A rootkit is software that gives malicious actors remote control of a victim’s computer
with full administrative privileges. Rootkits can be injected into applications, kernels,
hypervisors, or firmware. They spread through phishing, malicious attachments,
malicious downloads, and compromised shared drives. Rootkits can also be used to
conceal other malware, such as keyloggers.
Rootkit Example:
Zacinlo infects systems when users download a fake VPN app. Once installed,
Zacinlo conducts a security sweep for competing malware and tries to remove it. Then
it opens invisible browsers and interacts with content like a human would — by
scrolling, highlighting and clicking. This activity is meant to fool behavioral analysis
software. Zacinlo’s payload occurs when the malware clicks on ads in the invisible
browsers. This advertising click fraud provides malicious actors with a cut of the
commission.
9. Keyloggers
A keylogger is a type of spyware that monitors user activity. Keyloggers have
legitimate uses; businesses can use them to monitor employee activity and families
may use them to keep track of children’s online behaviors.
However, when installed for malicious purposes, keyloggers can be used to steal
password data, banking information and other sensitive information. Keyloggers can
be inserted into a system through phishing, social engineering or malicious
downloads.
6. Keylogger Example:
A keylogger called Olympic Vision has been used to target US, Middle Eastern and
Asian businessmen for business email compromise (BEC) attacks. Olympic Vision
uses spear-phishing and social engineering techniques to infect its targets’ systems
in order to steal sensitive data and spy on business transactions. The keylogger is
not sophisticated, but it’s available on the black market for $25 so it’s highly
accessible to malicious actors.
10. Bots/Botnets
A bot is a software application that performs automated tasks on command. They’re
used for legitimate purposes, such as indexing search engines, but when used for
malicious purposes, they take the form of self-propagating malware that can connect
back to a central server.
Usually, bots are used in large numbers to create a botnet, which is a network of bots
used to launch broad remotely-controlled floods of attacks, such as DDoS attacks.
Botnets can become quite expansive. For example, the Mirai IoT botnet ranged from
800,000 to 2.5M computers.
Botnet Example:
Echobot is a variant of the well-known Mirai. Echobot attacks a wide range of IoT
devices, exploiting over 50 different vulnerabilities, but it also includes exploits for
Oracle WebLogic Server and VMWare’s SD-Wan networking software. In addition,
the malware looks for unpatched legacy systems. Echobot could be used by malicious
actors to launch DDoS attacks, interrupt supply chains, steal sensitive supply chain
information and conduct corporate sabotage.
11. Mobile Malware
Attacks targeting mobile devices have risen 50 percent since last year. Mobile
malware threats are as various as those targeting desktops and include Trojans,
ransomware, advertising click fraud and more. They are distributed through phishing
and malicious downloads and are a particular problem for jailbroken phones, which
tend to lack the default protections that were part of those devices’ original operating
systems.
Mobile Malware Example:
Triada is a rooting Trojan that was injected into the supply chain when millions of
Android devices shipped with the malware pre-installed. Triada gains access to
7. sensitive areas in the operating system and installs spam apps. The spam apps
display ads, sometimes replacing legitimate ads. When a user clicks on one of the
unauthorized ads, the revenue from that click goes to Triada’s developers.