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The presentation covers various methods, such as the STRIDE model, for finding security and privacy threats. You will also learn to analyze use cases for finding business level threats. The presentation also includes practical tips for arranging threat workshops and representing your results.
This presentation was held in the Diana Initiative 2018 and Nixucon 2018 conferences.
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The document discusses several software development life cycle models:
- The phased model segments development into phases like analysis, design, implementation, testing and maintenance.
- The cost model views the life cycle in terms of costs incurred in each phase and modifying previous work.
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- Successive versions refines an initial product skeleton through multiple iterations.
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Reliance on forensic investigation of information systems has become a daily requirement for law enforcement and security practitioners around the world.
Effective evidence collection and analysis is the foundation of any investigation; identification of suspects, motives and methods demand the acquisition of the largest amount information that evidence can provide us. Anti-Forensics – Real world identification, analysis and prevention will discuss how criminals, attackers, non-enlightened investigators all have the ability to impact the amount useful information we have at our disposal. Michael will show the audience real world scenarios detailing how Anti-forensics tools are used to
hide and destroy incriminating evidence, outlining common anti-forensic techniques. This will be followed by discussion of hands-on identification and prevention
practices used to raise awareness around current academic research and identify potential solutions for practitioners and law enforcement organizations.
RMMM-Risk Management,Mitigation and Monitoring.
This document outlines a risk management, monitoring, and mitigation (RMMM) plan involving 3 key steps: risk avoidance, risk monitoring, and risk management and planning. It discusses monitoring factors like staff turnover that could impact costs and schedules. The plan includes developing strategies to reduce risks, monitoring risks, and having backups if risks are not mitigated. A Risk Information Sheet is used to document all risk analysis work and contains details about identified risks, mitigation plans, current status, and responsibilities.
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Application Threat Modeling
This document discusses application threat modeling (ATM) as a systematic approach to identifying security risks in software applications. It describes how ATM can be used at different stages of the software development lifecycle, from requirements to design to testing. The key steps of ATM include decomposing the application, identifying threats and vulnerabilities, analyzing attack vectors, and determining mitigation strategies. ATM helps prioritize risks and supports decision making around risk acceptance, avoidance, or mitigation.
Computer Security Chapter 1
This document provides an introduction to information security concepts. It defines information security as protecting information and systems from unauthorized access, use, disclosure, disruption or destruction. The key aspects of information security are confidentiality, integrity and availability. Basic security terminology like identification, authentication, access control and confidentiality are explained. Common network vulnerabilities like weak passwords, protocol design flaws, and unauthorized access through modems are also discussed. The importance of network security is to protect company assets, gain competitive advantage and ensure regulatory compliance.
7 Steps to Threat Modeling
Threat Modeling has become an integral part of Microsoft's SDL (Security Development Lifecycle) process
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Risk management is important for software projects to identify risks that could impact cost, schedule or quality and put mitigation plans in place. The key steps in risk management are risk identification, analysis, planning, monitoring. Risks can be project risks, product risks, technical risks or business risks. It's important to identify both known/predictable risks as well as unpredictable risks. The goal of risk management is to anticipate issues and have contingency plans to minimize negative impacts.
Secure Coding and Threat Modeling
This document summarizes Miriam Celi's presentation on secure coding and threat modeling. The key points are:
1. Miriam Celi discussed secure coding principles and resources like CWE, CVE, and OWASP to help developers write more secure code. Threat modeling was presented as a way to identify risks and address them in the design process.
2. Threat modeling involves identifying threats, assets, and vulnerabilities in a system and making design decisions to mitigate risks. It is an iterative team activity that should be performed throughout development.
3. Resources like STRIDE, CAPEC, and Microsoft's threat modeling tool were presented to help structure the threat modeling process. Statistics on rising costs of
Vulnerability Management: What You Need to Know to Prioritize Risk
Abstract:
While vulnerability assessments are an essential part of understanding your risk profile, it's simply not realistic to expect to eliminate all vulnerabilities from your environment. So, when your scan produces a long list of vulnerabilities, how do you prioritize which ones to remediate first? By data criticality? CVSS score? Asset value? Patch availability? Without understanding the context of the vulnerable systems on your network, you may waste time checking things off the list without really improving security.
Join AlienVault for this session to learn:
*The pros & cons of different types of vulnerability scans - passive, active, authenticated, unauthenticated
*Vulnerability scores and how to interpret them
*Best practices for prioritizing vulnerability remediation
*How threat intelligence can help you pinpoint the vulnerabilities that matter
most
Common Problems of Software Development
Video in Russian: http://www.youtube.com/watch?v=cJFVAbWZInE
Talk given with Agile-Latvia.org at TSI.lv for CS students, revealing Agile principles through real life stories and examples.
Registry Forensics
The document discusses the Windows registry, which is a central database that contains configuration settings and options for the operating system, installed programs, and hardware settings. It provides information on the structure and organization of the registry, including the root keys that categories registry settings. The summary also mentions that the registry contains information about users, programs, files and browsing activity that can be useful for troubleshooting or forensic analysis. It provides examples of how to modify registry settings to disable USB storage, internet access and restrict applications on a system.
Malware Static Analysis
This document discusses techniques for analyzing malware samples without executing them. It covers static analysis methods like identifying the file type and architecture, fingerprinting with hashes, scanning for known signatures, extracting strings, analyzing the PE header, and comparing samples. The goal of static analysis is to learn as much as possible about the malware before executing it, in order to focus subsequent dynamic analysis efforts. Manual and automated tools are described throughout for performing static analysis tasks like string extraction, unpacking obfuscated files, and classifying samples.
Malware Detection in Android Applications
Android is a Linux based operating system used for smart phone devices. Since 2008, Android devices gained huge market share due to its open architecture and popularity. Increased popularity of the Android devices and associated primary benefits attracted the malware developers. Rate of Android malware applications increased between 2008 and 2016. In this paper, we proposed dynamic malware detection approach for Android applications. In dynamic analysis, system calls are recorded to calculate the density of the system calls. For density calculation, we used two different lengths of system calls that are 3 gram and 5 gram. Furthermore, Naive Bayes algorithm is applied to classify applications as benign or malicious. The proposed algorithm detects malware using 100 real world samples of benign and malware applications. We observe that proposed method gives effective and accurate results. The 3 gram Naive Bayes algorithm detects 84 malware application correctly and 14 benign application incorrectly. The 5 gram Naive Bayes algorithm detects 88 malware application correctly and 10 benign application incorrectly. Mr. Tushar Patil | Prof. Bharti Dhote "Malware Detection in Android Applications" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-5 , August 2019, URL: https://www.ijtsrd.com/papers/ijtsrd26449.pdfPaper URL: https://www.ijtsrd.com/engineering/computer-engineering/26449/malware-detection-in-android-applications/mr-tushar-patil
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Formulario de registro de software
- 1. Formulario 024 – Versión 3.0 SOLICITUD DE REGISTRO PROGRAMAS DE ORDENADOR O SOFTWARE, BASE DE DATOS DATOS DE LA OBRA: a) Título de la obra: b) Año de creación: c) País de Origen: d) Carácter de la Obra: (marcar con una X la opción deseada) Obra Individual Obra Colectiva Obra en Colaboración Obra Original Obra por Encargo Obra Anónima Obra Seudónima Obra Derivada Póstuma Inédita Publicada e) Año de Publicación: ELEMENTOS DEL SOPORTE LÓGICO APORTADOS Programa de Ordenador Descripción del Programa Material Auxiliar a) Breve descripción de funciones del software: b) Relación de su estructura, organización y principales características: DATOS DEL AUTOR O AUTORES: a) Nombres y apellidos: b) Nacionalidad: c) Dirección completa y ciudad: d) N° de Cédula de Identidad: e) Teléfono/s: f) Dirección de correo electrónico: g) Seudónimo (si lo tiene registrado ante la DNDA): h) Nombres y apellidos: i) Nacionalidad: j) Dirección completa y ciudad: k) N° de Cédula de Identidad: l) Teléfono/s: m) Dirección de correo electrónico: n) Seudónimo (si lo tiene registrado ante la DNDA): DATOS DEL PRODUCTOR: a) Nombres y apellidos /Razón Social: b) Dirección completa: c) Ciudad: a) País: b) Teléfono(s): c) Dirección de correo-e: DATOS DEL SOLICITANTE O APODERADO: d) Nombres y apellidos /Razón Social: e) N° de Cédula de Identidad: f) Nacionalidad: g) Dirección completa y ciudad: h) Teléfono(s): i) Dirección de correo-e: CESIONES Expediente Nº: al Expediente Nº: D1 Fecha: Hora: Firma y Aclaración Depositó: Fotocopia C.I. SÍ N°: Solicitud y documentos recibidos por (Nombre del Funcionario oficial): NOMBRE Y FIRMA DE QUIEN RETIRÓ LA ORDEN DE PUBLICACIÓN: FECHA: