The document provides information on various computer forensics consulting companies and organizations. It lists their names and services offered, which include data recovery, electronic discovery, cyber forensic investigations, expert witness testimony, and litigation support for cases involving intellectual property theft, employee fraud, and other legal matters. The document also contains screenshots of some of the companies' websites.
This document provides an overview of the Security Onion Linux distribution for intrusion detection, network security monitoring, and log management. It describes the various "onion layers" or tools included, such as Snort/Suricata for network intrusion detection, Snorby for the web frontend, Bro for application layer analysis, Sguil for event analysis, Squert to provide additional context to events, and ELSA for centralized log searching and archiving. It also briefly mentions NetworkMiner for network forensic analysis and how Security Onion supports integrating data from tools like OSSEC, Snort, Suricata, Bro, and syslog-ng.
This document discusses malware forensics. It defines malware as malicious software programs and describes what malware can do. The document outlines different types of malware and explains how malware analysis has become a forensic discipline. It describes malware forensics as investigating malware properties to identify culprits and reasons for attacks. This includes analyzing malicious code, entry points, propagation methods, and system impacts. The document contrasts static and dynamic malware analysis approaches.
A Presentation on Registry forensics from one of my lectures. Thanks to Harlan Carvy and Jolanta Thomassen for wonderful researches in the field. The work is based on their researches
This document provides an overview of digital forensics. It discusses what digital forensics is, examples of cases, branches of digital forensics like disk, network, and mobile forensics. It also outlines the methodology, challenges, and tools used in digital forensics. Some challenges discussed include increasing device types and file formats, data volume, and limitations of current tools to keep up with evolving technology. The document concludes that digital forensics research faces many challenges and needs a clear research agenda to address issues like investigation time, cloud computing, and encryption.
Computer forensics is the scientific process of preserving, identifying, extracting, and interpreting data from computer systems, networks, wireless communications, and storage devices in a way that is legally admissible. It involves using special tools to conduct a forensic examination of devices, networks, internet activities, and images in order to discover potential digital evidence. Common computer forensic tools are used to recover deleted files, analyze financial and communications records, and investigate crimes like fraud, identity theft, and child pornography.
Your adversaries continue to attack and get into companies. You can no longer rely on alerts from point solutions alone to secure your network. To identify and mitigate these advanced threats, analysts must become proactive in identifying not just indicators, but attack patterns and behavior. In this workshop we will walk through a hands-on exercise with a real world attack scenario. The workshop will illustrate how advanced correlations from multiple data sources and machine learning can enhance security analysts capability to detect and quickly mitigate advanced attacks.
This document provides an overview of the Security Onion Linux distribution for intrusion detection, network security monitoring, and log management. It describes the various "onion layers" or tools included, such as Snort/Suricata for network intrusion detection, Snorby for the web frontend, Bro for application layer analysis, Sguil for event analysis, Squert to provide additional context to events, and ELSA for centralized log searching and archiving. It also briefly mentions NetworkMiner for network forensic analysis and how Security Onion supports integrating data from tools like OSSEC, Snort, Suricata, Bro, and syslog-ng.
This document discusses malware forensics. It defines malware as malicious software programs and describes what malware can do. The document outlines different types of malware and explains how malware analysis has become a forensic discipline. It describes malware forensics as investigating malware properties to identify culprits and reasons for attacks. This includes analyzing malicious code, entry points, propagation methods, and system impacts. The document contrasts static and dynamic malware analysis approaches.
A Presentation on Registry forensics from one of my lectures. Thanks to Harlan Carvy and Jolanta Thomassen for wonderful researches in the field. The work is based on their researches
This document provides an overview of digital forensics. It discusses what digital forensics is, examples of cases, branches of digital forensics like disk, network, and mobile forensics. It also outlines the methodology, challenges, and tools used in digital forensics. Some challenges discussed include increasing device types and file formats, data volume, and limitations of current tools to keep up with evolving technology. The document concludes that digital forensics research faces many challenges and needs a clear research agenda to address issues like investigation time, cloud computing, and encryption.
Computer forensics is the scientific process of preserving, identifying, extracting, and interpreting data from computer systems, networks, wireless communications, and storage devices in a way that is legally admissible. It involves using special tools to conduct a forensic examination of devices, networks, internet activities, and images in order to discover potential digital evidence. Common computer forensic tools are used to recover deleted files, analyze financial and communications records, and investigate crimes like fraud, identity theft, and child pornography.
Your adversaries continue to attack and get into companies. You can no longer rely on alerts from point solutions alone to secure your network. To identify and mitigate these advanced threats, analysts must become proactive in identifying not just indicators, but attack patterns and behavior. In this workshop we will walk through a hands-on exercise with a real world attack scenario. The workshop will illustrate how advanced correlations from multiple data sources and machine learning can enhance security analysts capability to detect and quickly mitigate advanced attacks.
William F. Crowe presented on the cybersecurity kill chain, which models the stages of a cyber attack based on military doctrine. The model developed by Lockheed Martin includes stages of reconnaissance, weaponization, delivery, exploitation, installation, command and control, and actions on objectives. ISACA and the European Union Agency for Network and Information Security also use similar kill chain models to analyze the process of advanced persistent threats targeting critical systems and data.
This document outlines an overview of intelligent threat hunting presented by Dhruv Majumdar. It discusses the basics of threat hunting, including that it is a proactive and iterative process to detect threats that evade existing security solutions. It provides a threat hunting recipe and describes important data sources and skills needed like host analysis, network analysis, and threat intelligence. It also walks through an attack scenario and things to look for at different stages of an attack lifecycle. Finally, it concludes with the growing demand for threat hunters and recommendations on how to get started with threat hunting.
Threat hunting is a proactive approach to security that involves actively searching networks for threats that evade traditional defenses like firewalls and antivirus. It involves forming hypotheses about potential attacks based on indicators and then validating those hypotheses by searching for related evidence. While threat hunting requires time, skills, and resources that many organizations lack, Panda Security's Threat Hunting and Investigation Service (THIS) provides threat hunting as a managed service at no extra cost with their Adaptive Defense 360 platform. THIS continuously monitors endpoints, forms hypotheses about attacks, and validates findings to detect threats that other solutions may miss.
Présentation de la suite ELK dans un contexte SIEM et zoom sur Wazuh (OSSEC) , IDS open source
Venez découvrir comment être proactif face aux problèmes de cyber sécurité en analysant les données fournies par vos équipements et applications critiques.
The document outlines a cybersecurity reference architecture that provides:
1. Active threat detection across identity, apps, infrastructure, and devices using tools like Azure Security Center, Windows Defender ATP, and Enterprise Threat Detection.
2. Protection of sensitive data through information protection, classification, and data loss prevention tools.
3. Management of identity and access to securely embrace identity as the primary security perimeter.
The cyber kill chain describes cyber attacks from an attacker's perspective through distinct phases: (1) reconnaissance, (2) weaponization, (3) delivery, (4) exploitation, (5) installation, (6) command and control, and (7) actions on objectives. Each phase of the kill chain can be mapped to defensive tools and actions to prevent attacks. Understanding the kill chain stages gives analysts insight into what is being attempted and how to respond appropriately. The kill chain was developed by Lockheed Martin as a method to describe intrusions and prevent advanced persistent threats by highly trained adversaries targeting sensitive information.
Introduction to Dynamic Malware Analysis ...Or am I "Cuckoo for Malware?"Lane Huff
I'm Cuckoo for Malware provides an introductory overview to Cuckoo Sandbox and Malware Analysis. This talk walks through discussing different types of malware and what they do, to explaining how Cuckoo Sandbox works and how to get the best results from it. The talk will cover how to harden your sandbox against Malware authors attempts to avoid analysis and give ideas for listeners wanting to set up custom environments of their own. The goal of the talk is to allow listeners with enough information so that they can begin analyzing malware in their own Cuckoo-based sandbox environment.
This document summarizes Windows forensic artifacts and tools that can be used for forensic investigations. It discusses the steps of a forensic investigation, rules to follow, common Windows artifacts like event logs and browser artifacts, and tools that can extract user details and system activity from a disk image or memory dump. Examples of artifacts that can be examined without tools include mounted devices, USB storage details, task manager history, event logs and system files.
The document discusses threat hunting techniques using Splunk, including an overview of threat hunting basics, data sources for threat hunting, and Lockheed Martin's Cyber Kill Chain model. It provides examples of using endpoint data to hunt for threats across the kill chain by analyzing processes, communications, and file artifacts in a demo dataset. Advanced techniques discussed include hunting for SQL injection attacks and lateral movement.
Cyber security is important to protect sensitive data from cyber crimes like hacking and cyber attacks. It involves protecting computer systems and networks from unauthorized access and data theft or damage. Common cyber threats include viruses, spyware, phishing and hacking. Effective cyber security practices outlined in standards like ISO 27001 can help organizations securely manage risk and information assets. Digital forensics tools can also help investigate cyber crimes and securely acquire digital evidence from devices.
This document discusses computer forensics and portable computer forensics. It defines computer forensics as the preservation, identification, extraction, documentation, and interpretation of computer media for evidentiary purposes. It outlines the steps of computer forensics including acquisition, identification, evaluation and presentation. It also discusses who uses computer forensics such as law enforcement, prosecutors, and private companies. The document introduces portable computer forensics and provides contact information for the Technology Open Source Laboratory.
Introduction to Cyber Forensics Module 1Anpumathews
This document provides an introduction to cyber forensics. It discusses computer forensics techniques used to determine and reveal technical criminal evidence, often involving extracting electronic data for legal purposes. The document outlines several modules that will be covered, including information security investigations, corporate cyber forensics, the scientific method in forensic analysis, and investigating large scale data breach cases. It also discusses advantages and disadvantages of cyber forensics and some common cyber forensic techniques.
Daniel Kefer from 1&1 Internet AG presented on 1&1's secure software development lifecycle (SDLC). He began by introducing himself and 1&1. He then discussed the motivation for a secure SDLC, noting the higher costs of fixing bugs later in development. Kefer outlined the common approaches to application security as intuitive, reactive, or proactive. 1&1 aims to take the proactive approach through their SDLC methodology. He described their methodology, including classifying systems based on risk level and assigning different security requirements at each level across both the development lifecycle and technical categories. Kefer finished by discussing 1&1's plans to expand usage and continuous improvement of their SDLC methodology.
This document provides an overview of mobile forensics. It discusses key topics like the mobile forensics process, goals of mobile forensics, challenges with acquiring evidence from mobile devices, and analyzing different types of evidence. Specific techniques discussed include hashing, write protection, recovering deleted data through tools like Disk Drill, analyzing Windows and Linux event logs, and investigating malicious files. The document outlines the various components involved in a mobile forensics investigation from acquiring evidence to documenting the chain of custody.
The document describes various stages of a cyber attack lifecycle including reconnaissance, initial infection, gaining control, privilege escalation, lateral movement, persistence, and malicious activities. It also discusses social engineering techniques, vulnerabilities and exploitation, and provides an example penetration test scenario.
This document outlines a presentation on threat hunting with Splunk. It discusses threat hunting basics, data sources for threat hunting, understanding endpoints, and the cyber kill chain model. The agenda includes a hands-on walkthrough of attacking scenario detection using Splunk. Advanced threat hunting techniques, enterprise security investigations, and applying machine learning to security are also covered.
The document provides biographies and background information for two cyber threat hunters, Teymur Kheirkhabarov and Sergey Soldatov. It then discusses the process of cyber threat hunting, including collecting log and system event data from endpoints, analyzing that data using tools like Yara and Cuckoo Sandbox, and manually investigating anomalies through iterative hypothesis testing to detect advanced threats. Examples are given of how threat hunters traced back the steps of an attacker who compromised a system by injecting code into the LSASS process and establishing persistence via a scheduled task. The document emphasizes that threat hunting requires both machine analysis of large datasets as well as human reasoning to uncover sophisticated threats that evade other security solutions.
- Organizations need to implement effective data leakage prevention strategies like data security policies, auditing processes, access control, and encryption to protect their data from internal threats.
- Security policies help define acceptable usage of systems and data, as well as procedures for access control, backups, system administration and more. Logging policies should define which security-relevant events are logged for purposes like intrusion detection and reconstructing incidents.
- Evidence collection and documentation policies are important for responding to security incidents and preserving electronic evidence for analysis or legal proceedings. Information security policies aim to ensure the confidentiality, integrity and availability of organizational data.
William F. Crowe presented on the cybersecurity kill chain, which models the stages of a cyber attack based on military doctrine. The model developed by Lockheed Martin includes stages of reconnaissance, weaponization, delivery, exploitation, installation, command and control, and actions on objectives. ISACA and the European Union Agency for Network and Information Security also use similar kill chain models to analyze the process of advanced persistent threats targeting critical systems and data.
This document outlines an overview of intelligent threat hunting presented by Dhruv Majumdar. It discusses the basics of threat hunting, including that it is a proactive and iterative process to detect threats that evade existing security solutions. It provides a threat hunting recipe and describes important data sources and skills needed like host analysis, network analysis, and threat intelligence. It also walks through an attack scenario and things to look for at different stages of an attack lifecycle. Finally, it concludes with the growing demand for threat hunters and recommendations on how to get started with threat hunting.
Threat hunting is a proactive approach to security that involves actively searching networks for threats that evade traditional defenses like firewalls and antivirus. It involves forming hypotheses about potential attacks based on indicators and then validating those hypotheses by searching for related evidence. While threat hunting requires time, skills, and resources that many organizations lack, Panda Security's Threat Hunting and Investigation Service (THIS) provides threat hunting as a managed service at no extra cost with their Adaptive Defense 360 platform. THIS continuously monitors endpoints, forms hypotheses about attacks, and validates findings to detect threats that other solutions may miss.
Présentation de la suite ELK dans un contexte SIEM et zoom sur Wazuh (OSSEC) , IDS open source
Venez découvrir comment être proactif face aux problèmes de cyber sécurité en analysant les données fournies par vos équipements et applications critiques.
The document outlines a cybersecurity reference architecture that provides:
1. Active threat detection across identity, apps, infrastructure, and devices using tools like Azure Security Center, Windows Defender ATP, and Enterprise Threat Detection.
2. Protection of sensitive data through information protection, classification, and data loss prevention tools.
3. Management of identity and access to securely embrace identity as the primary security perimeter.
The cyber kill chain describes cyber attacks from an attacker's perspective through distinct phases: (1) reconnaissance, (2) weaponization, (3) delivery, (4) exploitation, (5) installation, (6) command and control, and (7) actions on objectives. Each phase of the kill chain can be mapped to defensive tools and actions to prevent attacks. Understanding the kill chain stages gives analysts insight into what is being attempted and how to respond appropriately. The kill chain was developed by Lockheed Martin as a method to describe intrusions and prevent advanced persistent threats by highly trained adversaries targeting sensitive information.
Introduction to Dynamic Malware Analysis ...Or am I "Cuckoo for Malware?"Lane Huff
I'm Cuckoo for Malware provides an introductory overview to Cuckoo Sandbox and Malware Analysis. This talk walks through discussing different types of malware and what they do, to explaining how Cuckoo Sandbox works and how to get the best results from it. The talk will cover how to harden your sandbox against Malware authors attempts to avoid analysis and give ideas for listeners wanting to set up custom environments of their own. The goal of the talk is to allow listeners with enough information so that they can begin analyzing malware in their own Cuckoo-based sandbox environment.
This document summarizes Windows forensic artifacts and tools that can be used for forensic investigations. It discusses the steps of a forensic investigation, rules to follow, common Windows artifacts like event logs and browser artifacts, and tools that can extract user details and system activity from a disk image or memory dump. Examples of artifacts that can be examined without tools include mounted devices, USB storage details, task manager history, event logs and system files.
The document discusses threat hunting techniques using Splunk, including an overview of threat hunting basics, data sources for threat hunting, and Lockheed Martin's Cyber Kill Chain model. It provides examples of using endpoint data to hunt for threats across the kill chain by analyzing processes, communications, and file artifacts in a demo dataset. Advanced techniques discussed include hunting for SQL injection attacks and lateral movement.
Cyber security is important to protect sensitive data from cyber crimes like hacking and cyber attacks. It involves protecting computer systems and networks from unauthorized access and data theft or damage. Common cyber threats include viruses, spyware, phishing and hacking. Effective cyber security practices outlined in standards like ISO 27001 can help organizations securely manage risk and information assets. Digital forensics tools can also help investigate cyber crimes and securely acquire digital evidence from devices.
This document discusses computer forensics and portable computer forensics. It defines computer forensics as the preservation, identification, extraction, documentation, and interpretation of computer media for evidentiary purposes. It outlines the steps of computer forensics including acquisition, identification, evaluation and presentation. It also discusses who uses computer forensics such as law enforcement, prosecutors, and private companies. The document introduces portable computer forensics and provides contact information for the Technology Open Source Laboratory.
Introduction to Cyber Forensics Module 1Anpumathews
This document provides an introduction to cyber forensics. It discusses computer forensics techniques used to determine and reveal technical criminal evidence, often involving extracting electronic data for legal purposes. The document outlines several modules that will be covered, including information security investigations, corporate cyber forensics, the scientific method in forensic analysis, and investigating large scale data breach cases. It also discusses advantages and disadvantages of cyber forensics and some common cyber forensic techniques.
Daniel Kefer from 1&1 Internet AG presented on 1&1's secure software development lifecycle (SDLC). He began by introducing himself and 1&1. He then discussed the motivation for a secure SDLC, noting the higher costs of fixing bugs later in development. Kefer outlined the common approaches to application security as intuitive, reactive, or proactive. 1&1 aims to take the proactive approach through their SDLC methodology. He described their methodology, including classifying systems based on risk level and assigning different security requirements at each level across both the development lifecycle and technical categories. Kefer finished by discussing 1&1's plans to expand usage and continuous improvement of their SDLC methodology.
This document provides an overview of mobile forensics. It discusses key topics like the mobile forensics process, goals of mobile forensics, challenges with acquiring evidence from mobile devices, and analyzing different types of evidence. Specific techniques discussed include hashing, write protection, recovering deleted data through tools like Disk Drill, analyzing Windows and Linux event logs, and investigating malicious files. The document outlines the various components involved in a mobile forensics investigation from acquiring evidence to documenting the chain of custody.
The document describes various stages of a cyber attack lifecycle including reconnaissance, initial infection, gaining control, privilege escalation, lateral movement, persistence, and malicious activities. It also discusses social engineering techniques, vulnerabilities and exploitation, and provides an example penetration test scenario.
This document outlines a presentation on threat hunting with Splunk. It discusses threat hunting basics, data sources for threat hunting, understanding endpoints, and the cyber kill chain model. The agenda includes a hands-on walkthrough of attacking scenario detection using Splunk. Advanced threat hunting techniques, enterprise security investigations, and applying machine learning to security are also covered.
The document provides biographies and background information for two cyber threat hunters, Teymur Kheirkhabarov and Sergey Soldatov. It then discusses the process of cyber threat hunting, including collecting log and system event data from endpoints, analyzing that data using tools like Yara and Cuckoo Sandbox, and manually investigating anomalies through iterative hypothesis testing to detect advanced threats. Examples are given of how threat hunters traced back the steps of an attacker who compromised a system by injecting code into the LSASS process and establishing persistence via a scheduled task. The document emphasizes that threat hunting requires both machine analysis of large datasets as well as human reasoning to uncover sophisticated threats that evade other security solutions.
- Organizations need to implement effective data leakage prevention strategies like data security policies, auditing processes, access control, and encryption to protect their data from internal threats.
- Security policies help define acceptable usage of systems and data, as well as procedures for access control, backups, system administration and more. Logging policies should define which security-relevant events are logged for purposes like intrusion detection and reconstructing incidents.
- Evidence collection and documentation policies are important for responding to security incidents and preserving electronic evidence for analysis or legal proceedings. Information security policies aim to ensure the confidentiality, integrity and availability of organizational data.
Mohamed Ahmed Elnaeim Suliman has successfully completed all requirements and criteria for EC-Council's Computer Hacking Forensic Investigator certification through examination. The certification is valid until May 30, 2019 and was issued on May 31, 2016 with certification number ECC04692869789.
The document discusses the role and responsibilities of a first responder in electronic evidence collection, including securing the crime scene, documenting findings, and properly collecting, packaging, transporting, and reporting electronic evidence from various device types like computers, hard drives, thumb drives, and mobile phones. It also covers creating a first responder toolkit with forensic software and hardware, as well as documenting the tools and forensic computer system configuration.
The document contains templates for conducting various types of forensics investigations. It includes checklists for investigating evidence from different devices and media like hard disks, floppy disks, CDs, flash drives, and mobile phones. There are also templates for documenting information gathered during an investigation like seizure records, evidence logs, and case feedback forms. The templates are intended to guide and standardize forensic investigations of digital evidence.
Digital forensics involves analyzing digital artifacts like computers, storage devices, and network traffic as potential legal evidence. The process includes preparing investigators, collecting evidence while maintaining a chain of custody, examining and analyzing the data, and reporting the results. Key steps are imaging systems to obtain an exact duplicate without altering the original, recovering volatile data from memory, and using tools like EnCase and The Sleuth Kit to manually review and search the evidence for relevant information.
The presentation is all about computer forensics. the process , the tools and its features and some example scenarios.. It will give you a great insight into the computer forensics
Digital forensics is the preservation, identification, extraction and documentation of computer evidence for use in courts. There are various branches including network, firewall, database and mobile device forensics. Digital forensics helps solve cases of theft, fraud, hacking and viruses. Challenges include increased data storage, rapid technology changes and lack of physical evidence. Three case studies showed how digital forensics uncovered evidence through encrypted communications, text messages and diverted drug operations. The future of digital forensics includes more sophisticated tools and techniques to analyze large amounts of data.
This document provides an overview of computer forensics. It defines computer forensics as identifying, preserving, analyzing and presenting digital evidence in a legally acceptable manner. The objective is to find evidence related to cyber crimes. Computer forensics has a history in investigating financial fraud, such as the Enron case. It describes the types of digital evidence, tools used, and steps involved in computer forensic investigations. Key points are avoiding altering metadata and overwriting unallocated space when collecting evidence.
Lawyers often lack knowledge about electronic data discovery compared to traditional paper discovery. To properly handle digital evidence, lawyers should understand basic computer functions and data storage. They should also identify qualified forensic experts, ensure the forensic process follows proper procedures, and understand what types of computer forensic analysis may be necessary for different legal cases.
This document provides an overview of Module IV - Digital Evidence from an EC-Council course. It defines digital evidence and discusses the characteristics, types, and fragility of digital evidence. It also covers topics like anti-digital forensics, rules of evidence such as the Best Evidence Rule and Federal Rules of Evidence, and the examination process for digital evidence including acquisition, preservation, analysis, and documentation. The module aims to familiarize students with these important concepts regarding digital evidence.
Oct 23rd 2014 Offices of Arthur Cox - Presentation by Paul C Dwyer CEO of Cyber Risk International outlining a high level overview of the holistic cyber threat landscape in 2014
Ce hv6 module 57 computer forensics and incident handlingVi Tính Hoàng Nam
The incident response team will take several steps to investigate the denial of service attack on OrientRecruitmentInc's web server. They will first isolate the compromised system to contain the attack. The team will then analyze logs and files on the system to identify the source and technical details of the attack. Finally, the team will work to restore normal operations by fixing vulnerabilities and installing patches, while also preparing a report on their findings and response for management.
GDPR and EA Commissioning a web site part 2 - Legal EnvironmentAllen Woods
Second of 8 slide decks aimed at small to medium enterprises on factors to consider when commissioning a web site. This slide deck focusing on a changing legal environment brought about because of legislation like the EU GDPR
Computer forensics introduction - JurInnov - Eric VanderburgEric Vanderburg
Computer forensics involves the preservation, identification, extraction, documentation and interpretation of computer data from a variety of digital devices and media to be used as potential evidence in investigations and litigation. Forensic examiners use specialized tools and techniques to recover deleted files, browse internet history, analyze emails and perform other tasks while maintaining a documented chain of custody. The analysis can provide key evidence such as records of files, programs, internet activity and communications that occurred on a device.
Computer forensics involves preserving, identifying, extracting, documenting, and interpreting computer data for legal evidence or root cause analysis. It is used by law enforcement, businesses, and individuals in cases involving theft, fraud, harassment, and other crimes. The process generally involves acquiring the digital device, identifying and recovering data using forensic tools, evaluating the evidence, and presenting findings in a clear manner for legal purposes. Specialized skills and software are needed to perform forensic analysis while addressing techniques used by suspects to hide or corrupt digital evidence.
This document provides an overview of cyber forensics. It discusses the cyber forensics process, which involves collection, preservation, analysis, documentation and presentation of digital evidence. It also covers topics like the chain of custody process, the role of first responders, acquisition and duplication of evidence, hashing and write protection, analyzing deleted data through data recovery tools, Windows and Linux log analysis, and responding to cyber crimes. Specific cyber crimes discussed include phishing, 419 scams, spamming, malware distribution, cyberstalking, fake online profiles, credit card fraud, and ransomware attacks. Reporting mechanisms and analysis tools for each are presented. The document concludes with a discussion of career paths in cyber forensics
Slides for a college CISSP prep course. Instructor: Sam Bowne
Taught online for Coastline Community College and face-to-face at City College San Francisco.
Based on: "CISSP Study Guide, Third Edition"; by Eric Conrad, Seth Misenar, Joshua Feldman; ISBN-10: 0128024372.
More information at https://samsclass.info/125/125_F17.shtml
The document provides an overview of digital and computer forensics. It defines digital forensics as the recovery and investigation of material found in digital devices, often related to computer crimes. Computer forensics is described as the process of identifying, preserving, analyzing, and presenting digital evidence in a legally acceptable manner. The document outlines the goals, history, and processes involved in digital and computer forensics, including identification, preservation, collection, examination, analysis and presentation of evidence. It also discusses cyber crimes, evidence handling procedures, data collection locations, and required skills for computer forensics professionals.
Cyber forensics deals with the investigation and analysis of computer systems involved in cyber crimes, while digital forensics involves any digital device for the purpose of a legal investigation. Cyber forensics is a branch of digital forensics that focuses specifically on computer systems and networks. Both fields involve the identification, collection, preservation, analysis and presentation of digital evidence from various devices in relation to crimes. Proper collection and preservation of digital evidence requires following protocols like photographing devices, noting identifying details, removing power sources safely if destructive devices are suspected, and securely storing devices to prevent damage prior to analysis.
For a college course at Coastline Community College taught by Sam Bowne. Details at https://samsclass.info/125/125_F17.shtml
Based on: "CISSP Study Guide, Third Edition"; by Eric Conrad, Seth Misenar, Joshua Feldman; ISBN-10: 0128024372
Rev. Oct. 13, 2017
The document discusses several digital forensics frameworks that outline procedures for conducting digital investigations. It describes the FORZA framework in detail, which includes different layers representing contextual information, legal considerations, technical preparations, data acquisition, analysis, and legal presentation. Other frameworks covered include an enhanced digital investigation process model, an event-based digital forensic investigation framework, and a computer forensics field triage process model. Key phases of each framework, such as readiness, deployment, physical crime scene investigation, and digital crime scene investigation are also outlined.
The document discusses a scenario where a new employee named Rachel accused her manager Jacob of sexual harassment and lodged a complaint with the police and company. The company hired a computer forensics investigator named Ross to investigate the truth of the matter, as Jacob could face legal penalties and job loss if found guilty. The document then provides background information on computer forensics, including its definition, objectives, need, and benefits of forensic readiness planning. It also discusses types of computer crimes and the evolution of the field of computer forensics.
Cyber crime takes many forms including cyber dependent crimes where digital systems are attacked and cyber enabled crimes where existing crimes are transformed by the internet. Police response involves obtaining evidence from victims and third parties to identify suspects through IP addresses and forensic examination of seized devices. Businesses can protect themselves by having backup plans, following basic cybersecurity practices like cyber essentials certification, and being wary of common scams. While cyber threats are significant, 80% are preventable through awareness and preparation.
Cyber crime takes many forms including cyber dependent crimes where digital systems are attacked and cyber enabled crimes where existing crimes are transformed by the internet. Police response involves obtaining evidence from victims and third parties to identify suspects through IP addresses and forensic examination of seized devices. Businesses can protect themselves by having backup plans, following basic cybersecurity practices like Cyber Essentials, and reporting potential scams and phishing attempts. While cyber threats are prevalent, 80% are preventable through awareness and preparation.
Service integration and management (SIAM) is a management methodology that can be applied in an environment that includes services sourced from a number of service providers.
Service integration and management (SIAM) is a management methodology that can be applied in an environment that includes services sourced from a number of service providers.
This document provides an introduction to Service Integration and Management (SIAM). It defines SIAM as an operating model that integrates and manages services across multiple internal and external service providers. The document outlines the history and purpose of SIAM, as well as the SIAM ecosystem, practices, roles, structures, and roadmap. It also discusses how SIAM relates to other frameworks and the value it provides organizations through improved service quality, costs, governance and flexibility.
Service integration and management (SIAM) is a management methodology that can be applied in an environment that includes services sourced from a number of service providers.
Service integration and management (SIAM) is a management methodology that can be applied in an environment that includes services sourced from a number of service providers.
This document provides summaries of various Windows-based GUI tools across different categories such as process viewers, registry tools, desktop utilities, office applications, remote control tools, network tools, network scanners, network sniffers, hard disk tools, hardware info tools, file management tools, file recovery tools, file transfer tools, file analysis tools, password tools, and password cracking tools. For each tool, a brief description and link to the tool's website is given. The document is intended to familiarize the reader with these various Windows-based security tools.
This document provides an overview of various Windows-based command line tools. It lists tools like IPSecScan, MKBT, Aircrack, Outwit, Joeware Tools, MacMatch, WhosIP, Forfiles, Sdelete and describes their functions such as scanning for IPSec enabled systems, installing boot sectors, cracking wireless networks, and deleting files securely. It also summarizes command line tools for tasks like Active Directory management, password cracking, network scanning, and file operations.
This document provides information on various computer forensic tools, including both software and hardware tools. It discusses specific tools such as Visual TimeAnalyzer, X-Ways Forensics, Evidor, Ontrack EasyRecovery, Forensic Sorter, Directory Snoop, PDWIPE, Darik's Boot and Nuke (DBAN), FileMon, File Date Time Extractor, Snapback Datarrest, Partimage, Ltools, Mtools, @stake, Decryption Collection, AIM Password Decoder, and MS Access Database Password Decoder. It also includes screenshots of some of the tools.
This document discusses ethics in computer forensics. It covers ethics in areas like preparing forensic equipment, obtaining and documenting evidence, and bringing evidence to court. Ethics are important in computer forensics to distinguish acceptable and unacceptable behavior. Computer ethics help professionals avoid abuse and corruption. Equipment must be properly maintained and monitored. Evidence must be obtained and documented efficiently and carefully by skilled investigators to be acceptable in court.
I apologize, upon reviewing the document again I do not see any clear context to summarize it in 3 sentences or less. The document appears to be describing various concepts related to information system evaluation and certification but does not provide enough cohesive information to summarize concisely.
The document discusses the risk assessment process, including characterizing the IT system, identifying threats and vulnerabilities, analyzing controls, determining likelihood and impact, assessing risk level, and recommending controls to mitigate risks; it also covers developing policies and procedures for conducting risk assessments, writing risk assessment reports, and coordinating resources to perform risk assessments.
A computer forensics specialist was able to disprove a claim involving improper data use through a detailed investigation and report of the computer's internal activities. The specialist examined the computer over a period of time and prepared a step-by-step report that showed what had occurred inside the computer with a particular data set. This helped the attorney address the claim and demonstrated how computer forensics can not only help prove but also disprove allegations of improper data use.
This module discusses computer forensics laws and legal issues. It covers privacy issues involved in investigations, legal issues in seizing computer equipment, and laws in different countries. It also examines organizations that investigate computer crimes like the FBI, as well as US laws related to intellectual property, copyright, trademarks, trade secrets, and computer fraud and abuse. The goal is to familiarize students with the legal aspects of computer forensics investigations.
Digital detectives specialize in computer forensics and network security. Their main roles include handling, investigating, and reacting to computer and network security incidents. They examine computers and other devices to recover evidence, using forensic tools and techniques. Digital detectives should have strong technical skills in computer forensics and operating systems. They may be required to testify in court about evidence and methods used. Continuous training, certification, and staying up to date on new techniques are important for digital detectives.
An expert witness testified in a court case involving a teacher accused of sexual relations with a student. The expert, a computer forensics officer, explained that activity seen on the teacher's computer was likely caused by automatic programs and weather programs, not tampering as the defense suggested. If the computer had been turned back on after seizure, there would have been evidence of that, but there was none. The document then discusses the role of expert witnesses and preparing for testimony in court cases.
This document discusses best practices for writing investigative reports based on computer forensics investigations. It provides guidelines on the format, structure, and content of reports, including maintaining objectivity, documenting evidence collection methods, and including relevant findings, conclusions, and recommendations. The document also provides a sample report template and discusses using forensic analysis tools like FTK to help generate reports.
The document discusses a new digital forensic data capture device called the Forensic Dossier launched by Logicube. The Dossier allows investigators to capture data from suspect drives at speeds of up to 6GB per minute. It supports capturing from RAID drives and various flash media. The Dossier features built-in support for many drive types and connections. It includes advanced authentication and other forensic features. The Dossier will be showcased at the 2009 International CES conference in Las Vegas.
The document discusses investigating social networking websites for evidence. It provides an overview of social networking sites like MySpace, Facebook, and Orkut and how they are used. It outlines the investigation process, including searching for accounts, mirroring web pages, and documenting evidence. Specific areas of investigation on each site are examined, such as friend lists, photos, and comments. The summary report generation is also reviewed.
Model Liskula Cohen is suing Google over a defamatory blog post that called her the "#1 skanky superstar". She filed the lawsuit to determine the identity of the anonymous blogger. Another woman, Nyree Howlett, sued multiple people for uploading her private photos to Facebook and dating websites without permission. The documents discuss investigating defamation over websites and blog posts, including searching blog content, checking the blog URL and owner information, reviewing comments, and using tools like Archive.org to trace the source.
Five people were indicted for their involvement in an identity theft ring in Aurora, Colorado. The ring's leader, Shadwick Weaver, was facing 56 criminal counts related to identity theft, forgery, conspiracy, and organized crime. The group allegedly stole identities by burglarizing homes and vehicles, and used the stolen information to manufacture fake IDs and commit credit card fraud. They used the proceeds to buy methamphetamines. In a separate case, a woman from California named Jocelyn Kirsch was sentenced to 5 years in prison for her role in an identity theft scheme where she and a co-defendant stole identities from over 16 victims to fraudulently obtain over $119,000.
AI 101: An Introduction to the Basics and Impact of Artificial IntelligenceIndexBug
Imagine a world where machines not only perform tasks but also learn, adapt, and make decisions. This is the promise of Artificial Intelligence (AI), a technology that's not just enhancing our lives but revolutionizing entire industries.
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!
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!
Salesforce Integration for Bonterra Impact Management (fka Social Solutions A...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 integration of Salesforce with Bonterra Impact Management.
Interested in deploying an integration with Salesforce for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdfMalak Abu Hammad
Discover how MongoDB Atlas and vector search technology can revolutionize your application's search capabilities. This comprehensive presentation covers:
* What is Vector Search?
* Importance and benefits of vector search
* Practical use cases across various industries
* Step-by-step implementation guide
* Live demos with code snippets
* Enhancing LLM capabilities with vector search
* Best practices and optimization strategies
Perfect for developers, AI enthusiasts, and tech leaders. Learn how to leverage MongoDB Atlas to deliver highly relevant, context-aware search results, transforming your data retrieval process. Stay ahead in tech innovation and maximize the potential of your applications.
#MongoDB #VectorSearch #AI #SemanticSearch #TechInnovation #DataScience #LLM #MachineLearning #SearchTechnology
How to Interpret Trends in the Kalyan Rajdhani Mix Chart.pdfChart Kalyan
A Mix Chart displays historical data of numbers in a graphical or tabular form. The Kalyan Rajdhani Mix Chart specifically shows the results of a sequence of numbers over different periods.
Your One-Stop Shop for Python Success: Top 10 US Python Development Providersakankshawande
Simplify your search for a reliable Python development partner! This list presents the top 10 trusted US providers offering comprehensive Python development services, ensuring your project's success from conception to completion.
Project Management Semester Long Project - Acuityjpupo2018
Acuity is an innovative learning app designed to transform the way you engage with knowledge. Powered by AI technology, Acuity takes complex topics and distills them into concise, interactive summaries that are easy to read & understand. Whether you're exploring the depths of quantum mechanics or seeking insight into historical events, Acuity provides the key information you need without the burden of lengthy texts.
OpenID AuthZEN Interop Read Out - AuthorizationDavid Brossard
During Identiverse 2024 and EIC 2024, members of the OpenID AuthZEN WG got together and demoed their authorization endpoints conforming to the AuthZEN API
Ocean lotus Threat actors project by John Sitima 2024 (1).pptxSitimaJohn
Ocean Lotus cyber threat actors represent a sophisticated, persistent, and politically motivated group that poses a significant risk to organizations and individuals in the Southeast Asian region. Their continuous evolution and adaptability underscore the need for robust cybersecurity measures and international cooperation to identify and mitigate the threats posed by such advanced persistent threat groups.
GraphRAG for Life Science to increase LLM accuracyTomaz Bratanic
GraphRAG for life science domain, where you retriever information from biomedical knowledge graphs using LLMs to increase the accuracy and performance of generated answers
Ivanti’s Patch Tuesday breakdown goes beyond patching your applications and brings you the intelligence and guidance needed to prioritize where to focus your attention first. Catch early analysis on our Ivanti blog, then join industry expert Chris Goettl for the Patch Tuesday Webinar Event. There we’ll do a deep dive into each of the bulletins and give guidance on the risks associated with the newly-identified vulnerabilities.
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/building-and-scaling-ai-applications-with-the-nx-ai-manager-a-presentation-from-network-optix/
Robin van Emden, Senior Director of Data Science at Network Optix, presents the “Building and Scaling AI Applications with the Nx AI Manager,” tutorial at the May 2024 Embedded Vision Summit.
In this presentation, van Emden covers the basics of scaling edge AI solutions using the Nx tool kit. He emphasizes the process of developing AI models and deploying them globally. He also showcases the conversion of AI models and the creation of effective edge AI pipelines, with a focus on pre-processing, model conversion, selecting the appropriate inference engine for the target hardware and post-processing.
van Emden shows how Nx can simplify the developer’s life and facilitate a rapid transition from concept to production-ready applications.He provides valuable insights into developing scalable and efficient edge AI solutions, with a strong focus on practical implementation.
Cosa hanno in comune un mattoncino Lego e la backdoor XZ?Speck&Tech
ABSTRACT: A prima vista, un mattoncino Lego e la backdoor XZ potrebbero avere in comune il fatto di essere entrambi blocchi di costruzione, o dipendenze di progetti creativi e software. La realtà è che un mattoncino Lego e il caso della backdoor XZ hanno molto di più di tutto ciò in comune.
Partecipate alla presentazione per immergervi in una storia di interoperabilità, standard e formati aperti, per poi discutere del ruolo importante che i contributori hanno in una comunità open source sostenibile.
BIO: Sostenitrice del software libero e dei formati standard e aperti. È stata un membro attivo dei progetti Fedora e openSUSE e ha co-fondato l'Associazione LibreItalia dove è stata coinvolta in diversi eventi, migrazioni e formazione relativi a LibreOffice. In precedenza ha lavorato a migrazioni e corsi di formazione su LibreOffice per diverse amministrazioni pubbliche e privati. Da gennaio 2020 lavora in SUSE come Software Release Engineer per Uyuni e SUSE Manager e quando non segue la sua passione per i computer e per Geeko coltiva la sua curiosità per l'astronomia (da cui deriva il suo nickname deneb_alpha).