Get familier with basic Maltego features. It is great tool for information gathering. Learn about the reconnaissance using Maltego and visualize the result. You can integrate tools like nmap with it.
www.lifein01.com - for more info and tutorials
Maltego is an interactive data mining tool that renders directed graphs for link analysis.
Used in online investigations for finding relationships between pieces of information from various sources located on the Internet.
Maltego is a data mining and information gathering tool that helps determine real world links between people, social networks, companies, websites, internet infrastructure, phrases, and documents. It works using "transforms" to identify key relationships and unknown relationships between information. Maltego logs limited usage data while respecting user privacy, and can be used for security assessments, investigations, and learning more about companies and individuals by accessing public information from beyond just Google in an easier manner than traditional search methods.
Another Hacker Tool Talk from the Fujitsu Edmonton Security Lab. This presentation looks at how to install and use Maltego CE v 3.0 for open source intelligence (OSINT) gathering.
OSINT Tool - Reconnaissance with MaltegoRaghav Bisht
This document provides an overview of the open source intelligence (OSINT) tool Maltego. It describes what Maltego is, how it works, and how to install it. Maltego allows users to map relationships between entities like people, organizations, websites, domains, and IP addresses through the use of transforms. It gathers information from online sources and users can write their own transforms and machines. The document provides details on features of Maltego and how to download the commercial or community editions.
This document introduces tools for open source intelligence (OSINT) including Shodan, Recon-ng, FOCA, and Maltego. It provides an overview of each tool, including their purpose and basic usage. Shodan is an internet search engine that allows searching devices connected over the internet. Recon-ng is a web reconnaissance framework for OSINT. FOCA extracts metadata from files. Maltego is an OSINT application that extracts and visually represents relationships in extracted data through entities, transforms, and machines. The document demonstrates features of each tool and provides resources for OSINT.
OSINT: Open Source Intelligence gathering 101
Slides from my talk on OSINT. I listed examples in the slides about tools, legal methods for both online and physical information security reconnaissance.
Please view our webinar to learn the basics of our Maltego integration. https://attendee.gotowebinar.com/recording/2960337559231715841
Malformity Labs has developed a full transform set that allows for data from ThreatConnect™ to be integrated with the capabilities of Maltego.
All ThreatConnect customers can take advantage of the Maltego transform set through the ThreatConnect™ API and a provided transform server. They can use this to:
• Visualize the relationship between incidents, threats, adversaries, and indicators,
• Leverage attributes belonging to indicators and threats to create Maltego Graphs without losing any of the contextual data within ThreatConnect, and
• Pivot from ThreatConnect data and external open source data sources using other transform sets within Maltego.
www.lifein01.com - for more info and tutorials
Maltego is an interactive data mining tool that renders directed graphs for link analysis.
Used in online investigations for finding relationships between pieces of information from various sources located on the Internet.
Maltego is a data mining and information gathering tool that helps determine real world links between people, social networks, companies, websites, internet infrastructure, phrases, and documents. It works using "transforms" to identify key relationships and unknown relationships between information. Maltego logs limited usage data while respecting user privacy, and can be used for security assessments, investigations, and learning more about companies and individuals by accessing public information from beyond just Google in an easier manner than traditional search methods.
Another Hacker Tool Talk from the Fujitsu Edmonton Security Lab. This presentation looks at how to install and use Maltego CE v 3.0 for open source intelligence (OSINT) gathering.
OSINT Tool - Reconnaissance with MaltegoRaghav Bisht
This document provides an overview of the open source intelligence (OSINT) tool Maltego. It describes what Maltego is, how it works, and how to install it. Maltego allows users to map relationships between entities like people, organizations, websites, domains, and IP addresses through the use of transforms. It gathers information from online sources and users can write their own transforms and machines. The document provides details on features of Maltego and how to download the commercial or community editions.
This document introduces tools for open source intelligence (OSINT) including Shodan, Recon-ng, FOCA, and Maltego. It provides an overview of each tool, including their purpose and basic usage. Shodan is an internet search engine that allows searching devices connected over the internet. Recon-ng is a web reconnaissance framework for OSINT. FOCA extracts metadata from files. Maltego is an OSINT application that extracts and visually represents relationships in extracted data through entities, transforms, and machines. The document demonstrates features of each tool and provides resources for OSINT.
OSINT: Open Source Intelligence gathering 101
Slides from my talk on OSINT. I listed examples in the slides about tools, legal methods for both online and physical information security reconnaissance.
Please view our webinar to learn the basics of our Maltego integration. https://attendee.gotowebinar.com/recording/2960337559231715841
Malformity Labs has developed a full transform set that allows for data from ThreatConnect™ to be integrated with the capabilities of Maltego.
All ThreatConnect customers can take advantage of the Maltego transform set through the ThreatConnect™ API and a provided transform server. They can use this to:
• Visualize the relationship between incidents, threats, adversaries, and indicators,
• Leverage attributes belonging to indicators and threats to create Maltego Graphs without losing any of the contextual data within ThreatConnect, and
• Pivot from ThreatConnect data and external open source data sources using other transform sets within Maltego.
Network defenses include tools like firewalls, VPNs, and intrusion detection systems that help secure networks and protect them from cyber attacks. Firewalls act as barriers that control incoming and outgoing network traffic according to security policies. VPNs extend private networks over public networks through secure tunnels. Intrusion detection systems monitor network traffic and detect suspicious activity. Denial of service attacks aim to make network services unavailable by overwhelming them with malicious traffic. Distributed denial of service attacks use multiple compromised systems to launch large-scale attacks.
The document discusses various techniques for reconnaissance, including searching public information on the internet, using tools to scan for open systems and services, and ways to map out network configurations. It provides details on low-tech methods like searching websites, Whois databases and DNS, as well as technical scanning tools to discover active systems, network topology, and open ports. The document also offers defenses against some of these reconnaissance techniques.
Most investigators turn to Google and common social media platforms such as Facebook and Twitter to conduct research for their investigations. However, much of the Internet is inaccessible through simple searches, and criminals are increasingly turning to the dark web to conduct illicit business.
The dark web is anonymous and requires a special browser to access and some knowledge of how to navigate it safely. However, used properly, it can be a valuable source of information for investigators. It’s worthwhile for every investigator to develop the skills and knowledge to mine this treasure trove of dark data.
Join Chad Los Schumacher, investigator and researcher at iThreat Cyber Group, as he leads participants on an exploration of investigations in the dark web.
Webinar attendees will learn:
What the dark web is and how it fits into the rest of the worldwide web
What can be found on the dark web
How to get to the dark web using Tor and other browsers
How to locate common hubs and resources on the dark web and explore what they have to offer
How to bring leads from the dark web to the surface in an investigation
Slides for a college course at City College San Francisco. Based on "Hands-On Ethical Hacking and Network Defense, Third Edition" by Michael T. Simpson, Kent Backman, and James Corley -- ISBN: 9781285454610.
Instructor: Sam Bowne
Class website: https://samsclass.info/123/123_S17.shtml
Intrusion Detection Systems and Intrusion Prevention Systems Cleverence Kombe
Intrusion detection system (IDS) is software that automates the intrusion detection process. The primary responsibility of an IDS is to detect unwanted and malicious activities. Intrusion prevention system (IPS) is software that has all the capabilities of an intrusion detection system and can also attempt to stop possible incidents.
This document discusses using virtual machines for safe dynamic malware analysis. It recommends using a virtual machine to run malware in a protected environment isolated from the host system. Specific virtualization software discussed includes VMware Player, Workstation and Fusion along with VirtualBox and Hyper-V. The document outlines techniques for configuring networking and taking snapshots in virtual machines for malware analysis. It also introduces tools for dynamic analysis within virtual machines like Process Monitor, Process Explorer, Regshot, INetSim and Wireshark that can monitor the behavior and network activity of malware samples.
The internet contents an average person see on internet is not the whole web. So the remaining is called dark web. This presentation is about types of web and mainly on dark web.
These slides guides you through the tools and techniques one can use for footprinting websites or people.You will find amazing tools and techniques have a look
Durante l’intervento verranno presentati i cardini del processo di ricerca delle informazioni mediante la consultazione di fonti di pubblico accesso. Sarà illustrata la teoria alla base di questo processo che prevede l’identificazione delle fonti, la selezione e la valutazione del loro contenuto informativo per arrivare infine all’utilizzo stesso dell’informazione estratta. Nella seconda fase della presentazione verranno mostrati i tool e le metodologie per l’estrazione di informazioni mediante l’analisi di documenti, foto, social network e altre fonti spesso trascurate. In ultimo saranno mostrati sistemi in grado di correlare diverse informazioni provenienti dalle fonti aperte e verranno discussi i relativi scenari di utilizzo nonché le possibili contromisure.
Ethical hacking Chapter 7 - Enumeration - Eric VanderburgEric Vanderburg
This document discusses the process of enumeration in ethical hacking. Enumeration extracts information about network resources, user accounts, and operating systems. It describes tools for enumerating Microsoft systems like Nbtstat, Netview, and Net use, as well as tools for NetWare like Novell Client32 and Nessus. For *NIX systems, common enumeration tools are Finger and Nessus. The goal of enumeration is to gather useful information about targets without authorization in the scope of a security assessment.
This document provides an overview of intrusion prevention systems (IPS). It defines IPS and their main functions, which include identifying intrusions, logging information, attempting to block intrusions, and reporting them. It also discusses terminology related to IPS like false positives and negatives. The document outlines different detection methods used by IPS like signature-based, anomaly-based, and stateful protocol analysis. It categorizes IPS based on deployment like network-based, host-based, and wireless. It provides Snort, an open-source IPS, as a case study and discusses its components, rules structure, and challenges.
Social engineering involves manipulating people into revealing confidential information through psychological tricks, deception or pretending to need access for legitimate reasons. Attackers use methods like pretexting, phishing and fake websites to obtain personally identifiable data, financial information, passwords and other sensitive details from targets like employees or customers. The impacts of social engineering can be significant, as demonstrated by a $80 million cyberattack on Bangladesh's central bank. To protect against social engineering, organizations should promote security awareness training to help people identify inappropriate requests and understand the risks of revealing private information.
An intrusion detection system (IDS) monitors network traffic and system activities for suspicious activity that could indicate a security threat or attack. An IDS analyzes patterns in traffic to identify potential threats. There are network IDS that monitor entire network traffic and host IDS that monitor individual systems. An IDS detects threats but does not prevent them. An intrusion prevention system (IPS) can detect and prevent threats by blocking malicious traffic in real-time. An IPS combines IDS detection capabilities with preventative blocking functions. Common types of IPS include inline network IPS, layer 7 switches, application firewalls, and hybrid switches.
This document provides an overview of footprinting and reconnaissance techniques used by hackers to gather sensitive information about target organizations. It discusses various footprinting methods like using search engines, social media, websites, email headers, WHOIS lookups and more to find out details on employees, network infrastructure, systems and technologies used. The document also outlines tools that can be used for footprinting and recommends steps organizations can take to prevent information leakage and footprinting attacks like limiting employee access, filtering website content, encoding sensitive data and conducting regular security assessments.
About Port Scanning
Used Nmap and Shadow Security scanner for the best outputs.
A Detailed description on performing the port scanning mostly for the network administrators.
Why to perform? How to perform? Where to perform? these areas are taken into consideration and presented with best output results using tools "nmap scanner" and "shadow security scanner".
For a college class in Ethical Hacking and Network Defense at CCSF, by Sam Bowne. More info at https://samsclass.info/123/123_F17.shtml
Based on this book
Hands-On Ethical Hacking and Network Defense, Third Edition by Michael T. Simpson, Kent Backman, and James Corley -- ISBN: 9781285454610
This document discusses social engineering and why organizations should use it. Social engineering involves using psychological manipulation to trick people into revealing confidential information. It works because people are inherently lazy, want to help, and are curious. The document outlines common social engineering techniques like phishing, impersonation, and physical security compromises. It recommends that organizations conduct social engineering assessments of their own employees to identify vulnerabilities and provide ongoing training. Regular social engineering tests can help educate employees and strengthen an organization's security over time.
The document discusses the different layers of the web, including the surface web, deep web, and dark web. The dark web is a small portion of the deep web that can only be accessed through specialized browsers like TOR that aim to conceal users' identities and locations. The dark web is known as a place for illegal activities like drug trafficking and weapons sales, and uses bitcoin as its currency to facilitate anonymous transactions.
Maltego is an open source intelligence (OSINT) tool used to gather information from public online sources for reconnaissance purposes. It analyzes entities like people, websites, and email addresses extracted from online data and identifies relationships between them through transforms. Maltego graphs can reveal the complexity of connections within an infrastructure and expose previously unknown links. While useful for security analysis, it handles sensitive data and can cause unintentional harm, so results should be interpreted carefully.
This document discusses the network analysis tools Network Miner and Wireshark. Network Miner is described as a powerful tool that allows users to parse libcap files, do live packet captures, and reconstruct FTP, SMB, HTTP and TFTP data streams. It can capture data from multiple network interfaces, view credential data, use DNS information, search for keywords, view clear text, and reconstruct files transferred. Wireshark is an open source network protocol analyzer that allows users to interactively browse network data traffic. It supports live data reading, display filters to organize data, and new protocol analysis through plugins. The document concludes by stating it will look at using Network Miner and Wireshark in practice.
Network defenses include tools like firewalls, VPNs, and intrusion detection systems that help secure networks and protect them from cyber attacks. Firewalls act as barriers that control incoming and outgoing network traffic according to security policies. VPNs extend private networks over public networks through secure tunnels. Intrusion detection systems monitor network traffic and detect suspicious activity. Denial of service attacks aim to make network services unavailable by overwhelming them with malicious traffic. Distributed denial of service attacks use multiple compromised systems to launch large-scale attacks.
The document discusses various techniques for reconnaissance, including searching public information on the internet, using tools to scan for open systems and services, and ways to map out network configurations. It provides details on low-tech methods like searching websites, Whois databases and DNS, as well as technical scanning tools to discover active systems, network topology, and open ports. The document also offers defenses against some of these reconnaissance techniques.
Most investigators turn to Google and common social media platforms such as Facebook and Twitter to conduct research for their investigations. However, much of the Internet is inaccessible through simple searches, and criminals are increasingly turning to the dark web to conduct illicit business.
The dark web is anonymous and requires a special browser to access and some knowledge of how to navigate it safely. However, used properly, it can be a valuable source of information for investigators. It’s worthwhile for every investigator to develop the skills and knowledge to mine this treasure trove of dark data.
Join Chad Los Schumacher, investigator and researcher at iThreat Cyber Group, as he leads participants on an exploration of investigations in the dark web.
Webinar attendees will learn:
What the dark web is and how it fits into the rest of the worldwide web
What can be found on the dark web
How to get to the dark web using Tor and other browsers
How to locate common hubs and resources on the dark web and explore what they have to offer
How to bring leads from the dark web to the surface in an investigation
Slides for a college course at City College San Francisco. Based on "Hands-On Ethical Hacking and Network Defense, Third Edition" by Michael T. Simpson, Kent Backman, and James Corley -- ISBN: 9781285454610.
Instructor: Sam Bowne
Class website: https://samsclass.info/123/123_S17.shtml
Intrusion Detection Systems and Intrusion Prevention Systems Cleverence Kombe
Intrusion detection system (IDS) is software that automates the intrusion detection process. The primary responsibility of an IDS is to detect unwanted and malicious activities. Intrusion prevention system (IPS) is software that has all the capabilities of an intrusion detection system and can also attempt to stop possible incidents.
This document discusses using virtual machines for safe dynamic malware analysis. It recommends using a virtual machine to run malware in a protected environment isolated from the host system. Specific virtualization software discussed includes VMware Player, Workstation and Fusion along with VirtualBox and Hyper-V. The document outlines techniques for configuring networking and taking snapshots in virtual machines for malware analysis. It also introduces tools for dynamic analysis within virtual machines like Process Monitor, Process Explorer, Regshot, INetSim and Wireshark that can monitor the behavior and network activity of malware samples.
The internet contents an average person see on internet is not the whole web. So the remaining is called dark web. This presentation is about types of web and mainly on dark web.
These slides guides you through the tools and techniques one can use for footprinting websites or people.You will find amazing tools and techniques have a look
Durante l’intervento verranno presentati i cardini del processo di ricerca delle informazioni mediante la consultazione di fonti di pubblico accesso. Sarà illustrata la teoria alla base di questo processo che prevede l’identificazione delle fonti, la selezione e la valutazione del loro contenuto informativo per arrivare infine all’utilizzo stesso dell’informazione estratta. Nella seconda fase della presentazione verranno mostrati i tool e le metodologie per l’estrazione di informazioni mediante l’analisi di documenti, foto, social network e altre fonti spesso trascurate. In ultimo saranno mostrati sistemi in grado di correlare diverse informazioni provenienti dalle fonti aperte e verranno discussi i relativi scenari di utilizzo nonché le possibili contromisure.
Ethical hacking Chapter 7 - Enumeration - Eric VanderburgEric Vanderburg
This document discusses the process of enumeration in ethical hacking. Enumeration extracts information about network resources, user accounts, and operating systems. It describes tools for enumerating Microsoft systems like Nbtstat, Netview, and Net use, as well as tools for NetWare like Novell Client32 and Nessus. For *NIX systems, common enumeration tools are Finger and Nessus. The goal of enumeration is to gather useful information about targets without authorization in the scope of a security assessment.
This document provides an overview of intrusion prevention systems (IPS). It defines IPS and their main functions, which include identifying intrusions, logging information, attempting to block intrusions, and reporting them. It also discusses terminology related to IPS like false positives and negatives. The document outlines different detection methods used by IPS like signature-based, anomaly-based, and stateful protocol analysis. It categorizes IPS based on deployment like network-based, host-based, and wireless. It provides Snort, an open-source IPS, as a case study and discusses its components, rules structure, and challenges.
Social engineering involves manipulating people into revealing confidential information through psychological tricks, deception or pretending to need access for legitimate reasons. Attackers use methods like pretexting, phishing and fake websites to obtain personally identifiable data, financial information, passwords and other sensitive details from targets like employees or customers. The impacts of social engineering can be significant, as demonstrated by a $80 million cyberattack on Bangladesh's central bank. To protect against social engineering, organizations should promote security awareness training to help people identify inappropriate requests and understand the risks of revealing private information.
An intrusion detection system (IDS) monitors network traffic and system activities for suspicious activity that could indicate a security threat or attack. An IDS analyzes patterns in traffic to identify potential threats. There are network IDS that monitor entire network traffic and host IDS that monitor individual systems. An IDS detects threats but does not prevent them. An intrusion prevention system (IPS) can detect and prevent threats by blocking malicious traffic in real-time. An IPS combines IDS detection capabilities with preventative blocking functions. Common types of IPS include inline network IPS, layer 7 switches, application firewalls, and hybrid switches.
This document provides an overview of footprinting and reconnaissance techniques used by hackers to gather sensitive information about target organizations. It discusses various footprinting methods like using search engines, social media, websites, email headers, WHOIS lookups and more to find out details on employees, network infrastructure, systems and technologies used. The document also outlines tools that can be used for footprinting and recommends steps organizations can take to prevent information leakage and footprinting attacks like limiting employee access, filtering website content, encoding sensitive data and conducting regular security assessments.
About Port Scanning
Used Nmap and Shadow Security scanner for the best outputs.
A Detailed description on performing the port scanning mostly for the network administrators.
Why to perform? How to perform? Where to perform? these areas are taken into consideration and presented with best output results using tools "nmap scanner" and "shadow security scanner".
For a college class in Ethical Hacking and Network Defense at CCSF, by Sam Bowne. More info at https://samsclass.info/123/123_F17.shtml
Based on this book
Hands-On Ethical Hacking and Network Defense, Third Edition by Michael T. Simpson, Kent Backman, and James Corley -- ISBN: 9781285454610
This document discusses social engineering and why organizations should use it. Social engineering involves using psychological manipulation to trick people into revealing confidential information. It works because people are inherently lazy, want to help, and are curious. The document outlines common social engineering techniques like phishing, impersonation, and physical security compromises. It recommends that organizations conduct social engineering assessments of their own employees to identify vulnerabilities and provide ongoing training. Regular social engineering tests can help educate employees and strengthen an organization's security over time.
The document discusses the different layers of the web, including the surface web, deep web, and dark web. The dark web is a small portion of the deep web that can only be accessed through specialized browsers like TOR that aim to conceal users' identities and locations. The dark web is known as a place for illegal activities like drug trafficking and weapons sales, and uses bitcoin as its currency to facilitate anonymous transactions.
Maltego is an open source intelligence (OSINT) tool used to gather information from public online sources for reconnaissance purposes. It analyzes entities like people, websites, and email addresses extracted from online data and identifies relationships between them through transforms. Maltego graphs can reveal the complexity of connections within an infrastructure and expose previously unknown links. While useful for security analysis, it handles sensitive data and can cause unintentional harm, so results should be interpreted carefully.
This document discusses the network analysis tools Network Miner and Wireshark. Network Miner is described as a powerful tool that allows users to parse libcap files, do live packet captures, and reconstruct FTP, SMB, HTTP and TFTP data streams. It can capture data from multiple network interfaces, view credential data, use DNS information, search for keywords, view clear text, and reconstruct files transferred. Wireshark is an open source network protocol analyzer that allows users to interactively browse network data traffic. It supports live data reading, display filters to organize data, and new protocol analysis through plugins. The document concludes by stating it will look at using Network Miner and Wireshark in practice.
Network traffic analysis is used to monitor network activity and identify anomalies that could indicate security or performance issues. It allows analysis of traffic patterns and protocols to troubleshoot problems, detect malware, and trace attacks. Choosing a network traffic analysis solution requires considering the data sources and network points to monitor as well as needs for real-time versus historical traffic analysis. Network traffic analysis is an essential part of comprehensive network visibility and security.
Network traffic analysis is used to monitor network activity and identify anomalies that could indicate security or performance issues. It allows analysis of traffic patterns and protocols to troubleshoot problems, detect malware, and trace attacks. Choosing a network traffic analysis solution requires considering the data sources and network points to monitor, as well as whether full packet capture or flow-based analysis is needed. Network traffic analysis is an important part of network visibility and security.
Network intrusion detection uses deep learning to analyze network traffic logs and detect anomalous activity that could indicate hackers. The logs are preprocessed and fed into a neural network to be analyzed in batches on a GPU cluster. The trained model can then detect intrusions in new incoming log data from multiple sources in real-time and help network administrators find malicious traffic on the network.
Dive deep into the first phase of cyberattacks with this cyber security project presentation – reconnaissance! This presentation explores the critical tools and technologies employed by both ethical hackers and malicious actors to gather intelligence on target systems. Gain a comprehensive understanding of passive and active reconnaissance methods, uncover valuable tools like Nmap and Maltego, and learn how to fortify your defenses against information gathering attempts. Whether you're a cybersecurity novice or a seasoned professional, this presentation equips you with the knowledge to stay ahead of the curve. Visit us for more cyber security project presentations, https://bostoninstituteofanalytics.org/cyber-security-and-ethical-hacking/
Network traffic analysis with cyber securityKAMALI PRIYA P
We are students from SRM University pursuing B.TECH in Computer Science Department. We took a small initiative to make a PPT about how network traffic can be analyzed through Cyber Security. We have also mentioned the known network analyzers and future scope for network traffic analysis with cyber security.
This document discusses open source intelligence (OSINT) and how it can be used to gather information from publicly available sources to produce actionable intelligence. It provides examples of how OSINT can be used for corporate security purposes like finding breaches, leaked credentials, or rogue employees. It also lists several tools that can be used for OSINT like Robtex, PassiveRecon, Maltego, GeoStalker, and FBStalker. It notes that while OSINT is not always actively used by penetration testers, it can provide valuable information when applied to a real pentest. The document emphasizes that OSINT is more than just manual data gathering and that understanding what attackers know about an organization is important.
This document discusses key concepts related to cyber laws and rights in e-commerce. It covers what e-commerce is, important business models, and challenges. Some challenges discussed include technical issues, security threats like denial of service attacks and viruses, privacy concerns, and legal issues around intellectual property and consumer protections. Trust is also highlighted as an important barrier that must be addressed for e-business to be successful. Overall infrastructure development, relevant laws and regulations, consumer advocacy groups, education, and growing the IT workforce are emphasized as important tasks to realize the full potential of e-commerce.
This seminar discuss about the TOR BROWSER NETWORK TECHNOLOGY. The discussion includes, How it works, its weakness, its advantage, hidden services, about anonymity etc.
The document provides an overview of the Tor network, which aims to enable anonymous communication on the internet. It discusses why anonymity is needed, how the Tor network works using onion routing and circuits of routers to hide a user's location and identity, limitations of Tor including slow speeds and vulnerability of exit nodes, licit and illicit uses of Tor for privacy and censorship circumvention as well as illegal activities, and dangers of using Tor including surveillance risks. It concludes that research has made progress on anonymous communication and public interest in privacy tools like Tor is likely to increase.
This document presents a method for passively fingerprinting network users based on their unique patterns of network behavior, as observed in NetFlow data. The method identifies destinations only contacted by a single internal IP, compiling these into fingerprints that can identify users. Initial results found fingerprints for 38-83% of users, depending on how strictly uniqueness was defined. Fingerprints showed some variability over time, leaving opportunities to improve stability and automate the process. The approach aims to make simple behavioral fingerprinting accessible to network administrators.
Open-source intelligence (OSINT) refers to information gathered from publicly available sources including social media sites, traditional media, maps, government reports, and academic papers. OSINT tools are used to gather intelligence from these sources through activities like searching metadata, websites, and databases. Common OSINT tools mentioned are Maltego for relationships, Google Hacking Database for search operators, Metagoofil for document metadata, Shodan for devices, Spiderfoot for automation, TheHarvester for online profiles, and FOCA for hidden information. While useful, OSINT has limitations like information overload and potential false positives.
Network security monitoring elastic webinar - 16 june 2021Mouaz Alnouri
The difference between successfully defending an attack or failing to compromise is your ability to understand what’s happening in your network better than your adversary. Choosing the right network security monitoring (NSM) toolset is crucial to effectively monitor, detect, and respond to any potential threats in an organisation’s network.
In this webinar, we’ll uncover the best practices, trends, and challenges in network security monitoring (NSM) and how Elastic is being used as a core component to network security monitoring.
Highlights:
- What is network security monitoring (NSM)?
- Types of network data
- Common toolset
- Overcoming challenges with network security monitoring
- Using Machine Learning for network security monitoring
- Demo
This document provides an overview of how open-source intelligence (OSINT) techniques can be used both offensively and defensively. It discusses tools like Shodan, Maltego, Google searches, and malware sandboxes that can be leveraged to gather technical information about targets, infrastructure, and indicators of compromise. The document also emphasizes the importance of automation and privacy when conducting OSINT research to enhance attacks or strengthen defenses.
Scalpel is a file carving tool that extracts files from disk images or raw devices by matching headers and footers regardless of filesystem. Foremost is also a file carving tool but recovers files based on their internal data structures in addition to headers and footers. Maltego is an open source intelligence and forensics application that graphs relationships between entities like people, organizations, and internet infrastructure extracted from public online sources.
Andrew Brandt, Symantec
Back in 2014 and 2015, the Dyre (sometimes called Dyreza) Trojan was a distinctive crimeware tool for the simple reason that it appeared to employ, and experiment with, a whole range of sophisticated tactics, techniques and procedures: It was the first Trojan which exclusively employed HTTPS for its C2 traffic; It operated on a modular basis with a small cadre of other malware families, such as the Upatre downloader, which seemed to support it exclusively, as well as email address scraping tools and spam mail relayers; and it was at least as interested in profiling the environment it had infected as it was in exfiltrating any data it could find on the victim's machine. Then it disappeared suddenly, but re-emerged this year in the form of a Trojan now called Trickbot (aka Trickybot), completely rewritten but with many of the same features. In the lab, we permit Trickbot samples to persist on infected machines for days to weeks in order to perform man-in-the-middle SSL decryption on their C2 traffic. In this session, attendees will get a detailed forensic analysis of the content of some of this C2 traffic and the endpoint behavior of various machines (virtual and bare-metal) when left infected for an extended period of time. Finally, we will share what we know about the botnet's C2 infrastructure and its historical reputation. By understanding how Trickbot functions, and to where it communicates, we hope we can help identify infections more rapidly and, maybe, interpret the motives of whoever is operating this shadowy botnet to predict its next course of action.
The document discusses various cybersecurity threats and vulnerabilities including trojans, viruses, sniffing, SQL injection, intrusion detection systems, firewalls, and honeypots. It provides definitions and explanations of each topic over multiple paragraphs. Trojans and viruses are defined as malicious programs that can steal data, encrypt files, or allow unauthorized access. Sniffing involves monitoring network traffic using tools like Wireshark. SQL injection is an attack that exploits vulnerabilities to execute malicious SQL statements. Intrusion detection systems detect intrusions while intrusion prevention systems can block attacks. Firewalls regulate network connections and block unauthorized access. Honeypots are decoy systems that aim to study cyber attackers.
Onion routing and tor: Fundamentals and Anonymityanurag singh
Onion Routing and Tor: Fundamentals and anonymity discusses anonymity on the internet and how Tor works to provide anonymity. It explains that traditional IP addresses and browser tracking can be linked to a user's identity. Tor creates circuits through multiple relay nodes to hide a user's location and communications. Key features of Tor include using volunteer-run relay nodes, protecting against traffic analysis, and enabling hidden services to host anonymous websites. While Tor enhances anonymity, it cannot prevent all timing attacks if the start and end of a user's traffic can be observed.
Trusted Execution Environment for Decentralized Process MiningLucaBarbaro3
Presentation of the paper "Trusted Execution Environment for Decentralized Process Mining" given during the CAiSE 2024 Conference in Cyprus on June 7, 2024.
In the realm of cybersecurity, offensive security practices act as a critical shield. By simulating real-world attacks in a controlled environment, these techniques expose vulnerabilities before malicious actors can exploit them. This proactive approach allows manufacturers to identify and fix weaknesses, significantly enhancing system security.
This presentation delves into the development of a system designed to mimic Galileo's Open Service signal using software-defined radio (SDR) technology. We'll begin with a foundational overview of both Global Navigation Satellite Systems (GNSS) and the intricacies of digital signal processing.
The presentation culminates in a live demonstration. We'll showcase the manipulation of Galileo's Open Service pilot signal, simulating an attack on various software and hardware systems. This practical demonstration serves to highlight the potential consequences of unaddressed vulnerabilities, emphasizing the importance of offensive security practices in safeguarding critical infrastructure.
Building Production Ready Search Pipelines with Spark and MilvusZilliz
Spark is the widely used ETL tool for processing, indexing and ingesting data to serving stack for search. Milvus is the production-ready open-source vector database. In this talk we will show how to use Spark to process unstructured data to extract vector representations, and push the vectors to Milvus vector database for search serving.
Best 20 SEO Techniques To Improve Website Visibility In SERPPixlogix Infotech
Boost your website's visibility with proven SEO techniques! Our latest blog dives into essential strategies to enhance your online presence, increase traffic, and rank higher on search engines. From keyword optimization to quality content creation, learn how to make your site stand out in the crowded digital landscape. Discover actionable tips and expert insights to elevate your SEO game.
Main news related to the CCS TSI 2023 (2023/1695)Jakub Marek
An English 🇬🇧 translation of a presentation to the speech I gave about the main changes brought by CCS TSI 2023 at the biggest Czech conference on Communications and signalling systems on Railways, which was held in Clarion Hotel Olomouc from 7th to 9th November 2023 (konferenceszt.cz). Attended by around 500 participants and 200 on-line followers.
The original Czech 🇨🇿 version of the presentation can be found here: https://www.slideshare.net/slideshow/hlavni-novinky-souvisejici-s-ccs-tsi-2023-2023-1695/269688092 .
The videorecording (in Czech) from the presentation is available here: https://youtu.be/WzjJWm4IyPk?si=SImb06tuXGb30BEH .
HCL Notes and Domino License Cost Reduction in the World of DLAUpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-and-domino-license-cost-reduction-in-the-world-of-dlau/
The introduction of DLAU and the CCB & CCX licensing model caused quite a stir in the HCL community. As a Notes and Domino customer, you may have faced challenges with unexpected user counts and license costs. You probably have questions on how this new licensing approach works and how to benefit from it. Most importantly, you likely have budget constraints and want to save money where possible. Don’t worry, we can help with all of this!
We’ll show you how to fix common misconfigurations that cause higher-than-expected user counts, and how to identify accounts which you can deactivate to save money. There are also frequent patterns that can cause unnecessary cost, like using a person document instead of a mail-in for shared mailboxes. We’ll provide examples and solutions for those as well. And naturally we’ll explain the new licensing model.
Join HCL Ambassador Marc Thomas in this webinar with a special guest appearance from Franz Walder. It will give you the tools and know-how to stay on top of what is going on with Domino licensing. You will be able lower your cost through an optimized configuration and keep it low going forward.
These topics will be covered
- Reducing license cost by finding and fixing misconfigurations and superfluous accounts
- How do CCB and CCX licenses really work?
- Understanding the DLAU tool and how to best utilize it
- Tips for common problem areas, like team mailboxes, functional/test users, etc
- Practical examples and best practices to implement right away
leewayhertz.com-AI in predictive maintenance Use cases technologies benefits ...alexjohnson7307
Predictive maintenance is a proactive approach that anticipates equipment failures before they happen. At the forefront of this innovative strategy is Artificial Intelligence (AI), which brings unprecedented precision and efficiency. AI in predictive maintenance is transforming industries by reducing downtime, minimizing costs, and enhancing productivity.
5th LF Energy Power Grid Model Meet-up SlidesDanBrown980551
5th Power Grid Model Meet-up
It is with great pleasure that we extend to you an invitation to the 5th Power Grid Model Meet-up, scheduled for 6th June 2024. This event will adopt a hybrid format, allowing participants to join us either through an online Mircosoft Teams session or in person at TU/e located at Den Dolech 2, Eindhoven, Netherlands. The meet-up will be hosted by Eindhoven University of Technology (TU/e), a research university specializing in engineering science & technology.
Power Grid Model
The global energy transition is placing new and unprecedented demands on Distribution System Operators (DSOs). Alongside upgrades to grid capacity, processes such as digitization, capacity optimization, and congestion management are becoming vital for delivering reliable services.
Power Grid Model is an open source project from Linux Foundation Energy and provides a calculation engine that is increasingly essential for DSOs. It offers a standards-based foundation enabling real-time power systems analysis, simulations of electrical power grids, and sophisticated what-if analysis. In addition, it enables in-depth studies and analysis of the electrical power grid’s behavior and performance. This comprehensive model incorporates essential factors such as power generation capacity, electrical losses, voltage levels, power flows, and system stability.
Power Grid Model is currently being applied in a wide variety of use cases, including grid planning, expansion, reliability, and congestion studies. It can also help in analyzing the impact of renewable energy integration, assessing the effects of disturbances or faults, and developing strategies for grid control and optimization.
What to expect
For the upcoming meetup we are organizing, we have an exciting lineup of activities planned:
-Insightful presentations covering two practical applications of the Power Grid Model.
-An update on the latest advancements in Power Grid -Model technology during the first and second quarters of 2024.
-An interactive brainstorming session to discuss and propose new feature requests.
-An opportunity to connect with fellow Power Grid Model enthusiasts and users.
Driving Business Innovation: Latest Generative AI Advancements & Success StorySafe Software
Are you ready to revolutionize how you handle data? Join us for a webinar where we’ll bring you up to speed with the latest advancements in Generative AI technology and discover how leveraging FME with tools from giants like Google Gemini, Amazon, and Microsoft OpenAI can supercharge your workflow efficiency.
During the hour, we’ll take you through:
Guest Speaker Segment with Hannah Barrington: Dive into the world of dynamic real estate marketing with Hannah, the Marketing Manager at Workspace Group. Hear firsthand how their team generates engaging descriptions for thousands of office units by integrating diverse data sources—from PDF floorplans to web pages—using FME transformers, like OpenAIVisionConnector and AnthropicVisionConnector. This use case will show you how GenAI can streamline content creation for marketing across the board.
Ollama Use Case: Learn how Scenario Specialist Dmitri Bagh has utilized Ollama within FME to input data, create custom models, and enhance security protocols. This segment will include demos to illustrate the full capabilities of FME in AI-driven processes.
Custom AI Models: Discover how to leverage FME to build personalized AI models using your data. Whether it’s populating a model with local data for added security or integrating public AI tools, find out how FME facilitates a versatile and secure approach to AI.
We’ll wrap up with a live Q&A session where you can engage with our experts on your specific use cases, and learn more about optimizing your data workflows with AI.
This webinar is ideal for professionals seeking to harness the power of AI within their data management systems while ensuring high levels of customization and security. Whether you're a novice or an expert, gain actionable insights and strategies to elevate your data processes. Join us to see how FME and AI can revolutionize how you work with data!
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slackshyamraj55
Discover the seamless integration of RPA (Robotic Process Automation), COMPOSER, and APM with AWS IDP enhanced with Slack notifications. Explore how these technologies converge to streamline workflows, optimize performance, and ensure secure access, all while leveraging the power of AWS IDP and real-time communication via Slack notifications.
Skybuffer SAM4U tool for SAP license adoptionTatiana Kojar
Manage and optimize your license adoption and consumption with SAM4U, an SAP free customer software asset management tool.
SAM4U, an SAP complimentary software asset management tool for customers, delivers a detailed and well-structured overview of license inventory and usage with a user-friendly interface. We offer a hosted, cost-effective, and performance-optimized SAM4U setup in the Skybuffer Cloud environment. You retain ownership of the system and data, while we manage the ABAP 7.58 infrastructure, ensuring fixed Total Cost of Ownership (TCO) and exceptional services through the SAP Fiori interface.
Fueling AI with Great Data with Airbyte WebinarZilliz
This talk will focus on how to collect data from a variety of sources, leveraging this data for RAG and other GenAI use cases, and finally charting your course to productionalization.
TrustArc Webinar - 2024 Global Privacy SurveyTrustArc
How does your privacy program stack up against your peers? What challenges are privacy teams tackling and prioritizing in 2024?
In the fifth annual Global Privacy Benchmarks Survey, we asked over 1,800 global privacy professionals and business executives to share their perspectives on the current state of privacy inside and outside of their organizations. This year’s report focused on emerging areas of importance for privacy and compliance professionals, including considerations and implications of Artificial Intelligence (AI) technologies, building brand trust, and different approaches for achieving higher privacy competence scores.
See how organizational priorities and strategic approaches to data security and privacy are evolving around the globe.
This webinar will review:
- The top 10 privacy insights from the fifth annual Global Privacy Benchmarks Survey
- The top challenges for privacy leaders, practitioners, and organizations in 2024
- Key themes to consider in developing and maintaining your privacy program
Have you ever been confused by the myriad of choices offered by AWS for hosting a website or an API?
Lambda, Elastic Beanstalk, Lightsail, Amplify, S3 (and more!) can each host websites + APIs. But which one should we choose?
Which one is cheapest? Which one is fastest? Which one will scale to meet our needs?
Join me in this session as we dive into each AWS hosting service to determine which one is best for your scenario and explain why!
2. WHAT IS MALTEGO?
• Open Source Intelligence (OSINT) gathering tools
• Used fot reconnaissance (Information gathering) and data-mining
• Maltego is a unique platform developed to deliver a clear threat picture to the
environment that an organization owns and operates.
• Maltego’s unique advantage is to demonstrate the complexity of single points of
failure as well as trust relationships that exist currently within the scope of your
infrastructure.
• Reconnaissance on any person, by scraping up data from all publicly available
areas of the Internets.
3. TERMS: ENTITIES
• The type of entity (e.g. Website) defines what transforms can be run against
• Any Building block of graphs
• Eg:
• Website
• Phrase
• E-mail address
• Social Network
4. TERMS: TRANSFORMS
• Take starting entities and run code on it
• It result the data in other entity
• In other word the transforms means the processing on the data according to the
our requirement.
• Two type:
• Local Transforms
• Remote Transforms
5. TERMS: MACHINE
• Set of transforms and action to be
performed on the entities
• Machine and run the predefined task
on the entity and fetch the result in
graphical form
• We can create our own machine by
using some programming language
such as python
6. DISCLAIMER
• Crawl “Damage”: Unclear what “damage” may occur from transforms (but
some crawls may be working correctly)
• Sample of a Disclaimer: “Please note this transform is being run on the
Paterva Transform Distribution Server and has been written by the user
'Andrew MacPherson'. This transform will be run on * and Paterva cannot be
held responsible for any damage caused by this transform, you run this AT
YOUR OWN RISK. For more information on this transform feel free to
contact…”
7. WHY USE MALTEGO?
• People’s online relationships can identify an unknown node based on the
connections, power relationships, intercommunications, and the external
identities
• People have used their realworld identities in their virtual world
• Used for the analysis of the footprint
• All online actions can be linked to geographical locations, and those locations
may be revealing
• Results are well represented in a variety of easy to understand views
• Maltego identifies key relationships between data sets and identifies previously
unknown relationships between them
8. BASIC FEATURES OF MALTEGO
• Shows links between people; groups of people (social networks); companies;
organizations; web sites; internet infrastructure (domain, DNS names, netblocks,
IP addresses); phrases; affiliations; documents and files
• Based on open-source (publicly available) information or “open-source intelligence”
(OSINT)
• Does not involve the breaking of network controls to access information
• Assumes benign information in isolation may be turned malicious in combination and
/ or relationship to other data (as in “big data” analytics)
• Is a “dual use” technology with a range of applied “data harvesting” / structure-
mining / datamining and analytical uses
9.
10. TYPE OF MACHINE ON MALTEGO
• Company Stalker: Email addresses at a company’s domain(s)
• Footprint L1: “Fast” and limited footprint of a domain
• Footprint L2: “Mild” and semi-limited footprint of a domain
• Footprint L3: “Intense” and fairly in-depth and internal footprint of a domain
• Person- Email Address: Identifies a person’s email addresses (but needs a
disambiguated or fairly uncommon name…or the data is noisy)
• Prune Leaf Entities: Prunes all leaves (entities with no outgoing links and just
one incoming link—aka pendant nodes) to clear the screen for re-crawls (and to
de-noise the data
11. TYPE OF MACHINE
• Twitter Digger: Phrase as a Twitter search
• Twitter Geo(graphical) Location: Finding a person’s location based on multiple
information streams
• Twitter Monitor: Monitors Twitter for hashtags (#) and named entities
mentioned (@)
• URL to Network and Domain Information: From URL to network and domain
information
12. NODE LEVEL TRANSFORM
• Devices
• A phone, mobile device, or other
used by the individual or
connected to various accounts or
a network
• Infrastructure
• AS – Autonomous System
Number (as assigned by IANA to
RIRs)
• DNS Name – Domain Name
System (identification string)
• Domain – Internet Domain
• IPv4 Address – IP version 4
address
• MX Record – DNS mail exchanger
record (indicator of mail server
accepting email messages and how
email should be routed through
SMTP)
• NS Record – A DNS name server
record (with indicators of
subdomains)
• Netblock – An internet autonomous
system
• URL – An internet Uniform Resource
Locator (web address as a character
sting)
• Website – An internet website
(related web pages served from a
single domain)
13. NODE LEVEL TRANSFORM
• Locations
• A location on Earth (to find
domains and other such
information)
• Penetration (“Pen”) Testing
• Company
• Social Network
• Facebook Object
• Twit entity
• Affiliation – Facebook
• Affiliation – Twitter
• Personal
• Alias
• Document
• Email Address
• Image (EXIF or “Exchangeable Image
File” data extraction: geotagged
data, GPS, and general image
conditions information like digital
camera settings)
• Person
• Phone Number
• Phrase