This document discusses building a database firewall from scratch. It provides an overview of the Positive Technologies team developing the prototype database firewall. The team includes Arseny Reutov, Denis Kolegov, and other researchers. The document outlines the agenda, which includes introductions to WAFs and DBFWs, related work, their prototype, the parser, and protectors like profiling, dejection, SQL injection detection, access control, and inspected application modules. It compares how WAFs and DBFWs operate and what each can protect against. It also discusses the prototype's architecture, parsing approach, and correlation of HTTP requests and SQL queries.
Alban Diquet, Data Theorem
Thomas Sileo, Data Theorem
Over the last two years, we've received and analyzed more than three million SSL validation failure reports from more than a thousand of iOS and Android apps available on the Stores, and used all around the world. From mobile banking to music apps, each report was triggered because an unknown or unexpected certificate was being served to the app, preventing it from establishing a secure connection to its server via SSL/TLS.
We've analyzed each of these reports to understand what caused the SSL connection to fail, and then grouped similar failures into various classes of SSL incidents. Throughout this presentation, we will describe the analysis we've made and present our findings.
First, we will provide a high-level overview of where, how, and why SSL incidents are occurring across the world for iOS and Android users, and describe the various classes of incidents we've detected. Some of these types of incidents, such as corporate devices performing traffic inspection, are well-known and understood, although we will provide new insights into how widespread they are.
Then, we will take a closer look at a few notable incidents we detected, which have been caused by unexpected, or even suspicious actors. We will describe our investigations and what we found.
Lastly, we will provide real-world solutions on how to protect apps against traffic interception and attacks, as a mobile developer.
Современные технологии и инструменты анализа вредоносного ПО_PHDays_2017_Pisk...Ivan Piskunov
Презентация к моему воркшопу на PHDays 2017 на тему "Современные технологии и инструменты анализа вредоносного ПО"
Ссылка на анонс https://www.phdays.ru/program/197805/
Ссылка с моего блога https://www.phdays.ru/program/197805/
Rob Turner, Qualcomm Technologies
Almost three decades since the Morris worm and we're still plagued by memory corruption vulnerabilities in C and C++ software. Exploit mitigations aim to make the exploitation of these vulnerabilities impossible or prohibitively expensive. However, modern exploits demonstrate that currently deployed countermeasures are insufficient.
In ARMv8.3, ARM introduces a new hardware security feature, pointer authentication. With ARM and ARM partners, including Microsoft, we helped to design this feature. Designing a processor extension is challenging. Among other requirements, changes should be transparent to developers (except compiler developers), support both system and application code, interoperate with legacy software, and provide binary backward compatibility. This talk discusses the processor extension and explores the design trade-offs, such as the decision to prefer authentication over encryption and the consequences of small tags.
Also, this talk provides a security analysis, and examines how these new instructions can robustly and efficiently implement countermeasures.
Problems With Parameters - A high-level overview of common vulnerabilities identified in web applications, techniques to mitigate these vulnerabilities, and thoughts on incorporating secure webapp development practices into your organization's development culture.
Alban Diquet, Data Theorem
Thomas Sileo, Data Theorem
Over the last two years, we've received and analyzed more than three million SSL validation failure reports from more than a thousand of iOS and Android apps available on the Stores, and used all around the world. From mobile banking to music apps, each report was triggered because an unknown or unexpected certificate was being served to the app, preventing it from establishing a secure connection to its server via SSL/TLS.
We've analyzed each of these reports to understand what caused the SSL connection to fail, and then grouped similar failures into various classes of SSL incidents. Throughout this presentation, we will describe the analysis we've made and present our findings.
First, we will provide a high-level overview of where, how, and why SSL incidents are occurring across the world for iOS and Android users, and describe the various classes of incidents we've detected. Some of these types of incidents, such as corporate devices performing traffic inspection, are well-known and understood, although we will provide new insights into how widespread they are.
Then, we will take a closer look at a few notable incidents we detected, which have been caused by unexpected, or even suspicious actors. We will describe our investigations and what we found.
Lastly, we will provide real-world solutions on how to protect apps against traffic interception and attacks, as a mobile developer.
Современные технологии и инструменты анализа вредоносного ПО_PHDays_2017_Pisk...Ivan Piskunov
Презентация к моему воркшопу на PHDays 2017 на тему "Современные технологии и инструменты анализа вредоносного ПО"
Ссылка на анонс https://www.phdays.ru/program/197805/
Ссылка с моего блога https://www.phdays.ru/program/197805/
Rob Turner, Qualcomm Technologies
Almost three decades since the Morris worm and we're still plagued by memory corruption vulnerabilities in C and C++ software. Exploit mitigations aim to make the exploitation of these vulnerabilities impossible or prohibitively expensive. However, modern exploits demonstrate that currently deployed countermeasures are insufficient.
In ARMv8.3, ARM introduces a new hardware security feature, pointer authentication. With ARM and ARM partners, including Microsoft, we helped to design this feature. Designing a processor extension is challenging. Among other requirements, changes should be transparent to developers (except compiler developers), support both system and application code, interoperate with legacy software, and provide binary backward compatibility. This talk discusses the processor extension and explores the design trade-offs, such as the decision to prefer authentication over encryption and the consequences of small tags.
Also, this talk provides a security analysis, and examines how these new instructions can robustly and efficiently implement countermeasures.
Problems With Parameters - A high-level overview of common vulnerabilities identified in web applications, techniques to mitigate these vulnerabilities, and thoughts on incorporating secure webapp development practices into your organization's development culture.
Ce talk est une introduction au Secure Coding pour Java. Il s'efforcera de présenter via différents exemples les bonnes pratiques permettant de développer de manière pragmatique une application java sécurisée. Nous aborderons aussi bien des pratiques fonctionnelles que des morceaux de codes java à erreurs et leur correctifs.
Slide deck for the Secruity Weekly session on Oct 25th 2018. Code is up on www.github/YossiSassi. Special thanks to Eyal Neemany & Omer Yair who helped prep this talk.
Secure Code Review is the best approach to uncover the most security flaws, in addition to being the only approach to find certain types of flaws like design flaws. During this session, you will learn how to perform security code review and uncover vulnerabilities such as OWASP Top 10: Cross-site Scripting, SQL Injection, Access Control and much more in early stages of development. You will use a real life application. You will get an introduction to Static Code Analysis tools and how you can automate some parts of the process using tools like FxCop.
Security is important for Devs. You need to add in depth capability to secure Apps, and for this, this presentation give you simply principles to add it to a Java App.
This slides come from the Java User Group Summer Camp 2015 in France
Maturity Model of Security Disciplines Florian Roth
A slide deck that was created for a private talk outlining the maturity model of security disciplines, recommendations on security monitoring, log source priority, low hanging fruits and some highlights
For #Redpill2017, The most offensive security conference in Thailand.
This slide talks about the weak point of endpoint protection such as Antivirus, User Account Control, AppLocker.
Докладчик расскажет о технических аспектах разработки с нуля прототипа межсетевого экрана уровня систем управления базами данных Database Firewall: о том, что нужно чтобы разработать DBFW, о возможности применения методов машинного обучения для эффективного обнаружения SQL-инъекций по SQL-запросам, обнаружении SQL-инъекций на основе методов синтаксического анализа, реализации ролевого и атрибутного управление доступом. Также речь пойдет о перспективных механизмах защиты приложений на основе технологий межсетевого экранирования и статического анализа кода.
Slides from OWASP AppSec USA 2016.
For over 10 years, Visual Studio has provided basic source code analysis through FxCop and StyleCop. While these code analyzers focus mainly on design conformance, code consistency, and best practices, there is very little support for enforcing secure coding techniques. To address this gap, Microsoft started a project back in 2011 called CAT.NET to help identify secure coding bugs such as XSS, SQL Injection, and XPath Injection. Unfortunately, CAT.NET failed and never made it past the first version. Aside from purchasing expensive commercial static analysis tools, .NET development teams have been left without an easy way to integrate secure code scanning rules into Visual Studio. At least until now...
With the release of Visual Studio 2015, the open-source .NET Compiler Platform (aka “Roslyn”) exposes a set of code analysis APIs capable of querying the source code, identifying a security issue, and reporting it as code is written! In this talk, we will explore the code analysis APIs and show you how to create a live static analysis rule. Come prepared to see demonstrations of Visual Studio static analysis rules in action, and walk away with a static analysis rule pack to run against your organization’s .NET applications.
Ce talk est une introduction au Secure Coding pour Java. Il s'efforcera de présenter via différents exemples les bonnes pratiques permettant de développer de manière pragmatique une application java sécurisée. Nous aborderons aussi bien des pratiques fonctionnelles que des morceaux de codes java à erreurs et leur correctifs.
Slide deck for the Secruity Weekly session on Oct 25th 2018. Code is up on www.github/YossiSassi. Special thanks to Eyal Neemany & Omer Yair who helped prep this talk.
Secure Code Review is the best approach to uncover the most security flaws, in addition to being the only approach to find certain types of flaws like design flaws. During this session, you will learn how to perform security code review and uncover vulnerabilities such as OWASP Top 10: Cross-site Scripting, SQL Injection, Access Control and much more in early stages of development. You will use a real life application. You will get an introduction to Static Code Analysis tools and how you can automate some parts of the process using tools like FxCop.
Security is important for Devs. You need to add in depth capability to secure Apps, and for this, this presentation give you simply principles to add it to a Java App.
This slides come from the Java User Group Summer Camp 2015 in France
Maturity Model of Security Disciplines Florian Roth
A slide deck that was created for a private talk outlining the maturity model of security disciplines, recommendations on security monitoring, log source priority, low hanging fruits and some highlights
For #Redpill2017, The most offensive security conference in Thailand.
This slide talks about the weak point of endpoint protection such as Antivirus, User Account Control, AppLocker.
Докладчик расскажет о технических аспектах разработки с нуля прототипа межсетевого экрана уровня систем управления базами данных Database Firewall: о том, что нужно чтобы разработать DBFW, о возможности применения методов машинного обучения для эффективного обнаружения SQL-инъекций по SQL-запросам, обнаружении SQL-инъекций на основе методов синтаксического анализа, реализации ролевого и атрибутного управление доступом. Также речь пойдет о перспективных механизмах защиты приложений на основе технологий межсетевого экранирования и статического анализа кода.
Slides from OWASP AppSec USA 2016.
For over 10 years, Visual Studio has provided basic source code analysis through FxCop and StyleCop. While these code analyzers focus mainly on design conformance, code consistency, and best practices, there is very little support for enforcing secure coding techniques. To address this gap, Microsoft started a project back in 2011 called CAT.NET to help identify secure coding bugs such as XSS, SQL Injection, and XPath Injection. Unfortunately, CAT.NET failed and never made it past the first version. Aside from purchasing expensive commercial static analysis tools, .NET development teams have been left without an easy way to integrate secure code scanning rules into Visual Studio. At least until now...
With the release of Visual Studio 2015, the open-source .NET Compiler Platform (aka “Roslyn”) exposes a set of code analysis APIs capable of querying the source code, identifying a security issue, and reporting it as code is written! In this talk, we will explore the code analysis APIs and show you how to create a live static analysis rule. Come prepared to see demonstrations of Visual Studio static analysis rules in action, and walk away with a static analysis rule pack to run against your organization’s .NET applications.
How do JavaScript frameworks impact the security of applications?Ksenia Peguero
The best way to enable developers to create secure applications is to “shift left” in security. That means providing developers with the tools and techniques that help build more secure applications from the get-go. Developers may get security controls into their applications in different ways. They may write them from scratch following security training or guidance, they may use open source libraries, or they may use frameworks that have the security features built in already. In this talk we explore JavaScript applications that use different types of security controls implemented at levels ranging from developer code, to libraries and plugins, to different frameworks, and analyze which applications actually turn out to be more secure. This work is based on analysis of over 500 open source JavaScript applications on GitHub that use client-side frameworks and template engines to prevent XSS, as well as server-side frameworks (Express, Koa, Hapi, Sails, Meteor) and CSRF prevention mechanisms. In conclusion, we provide data-driven recommendations for framework maintainers and application developers on how to develop and choose a framework that will actually make applications more secure.
Standard Provenance Reporting and Scientific Software Management in Virtual L...njcar
The Virtual Hazards Impact & Risk Laboratory (VHIRL) is a scientific workflow portal that provides researchers with access to a cloud computing environment for natural hazards eResearch tools. It allows researchers to construct experiments with data from a variety of sources and execute cloud computing processes for rapid and remote simulation and analysis. The service currently includes tools for the simulation of three major hazards affecting the Asia-Pacific region: earthquakes, tsunamis and tropical cyclones.
For scientific results, the establishment of provenance is key to reproducibility and trust. Thus the need for any virtual laboratory to provide provenance information for the tasks it manages is obvious, but the appropriate way to report and manage provenance information is not always so straightforward. Many virtual laboratories and workflow systems provide bespoke provenance management with a focus on internal system use. This has clear benefits for reproducibility within the system, but it limits the interoperability of systems. For VHIRL, a provenance solution was required that was as
interoperable with other, external, provenance systems as possible.
A related common issue facing workflow tools and virtual laboratories is the need to manage software code. With this comes well-known issues associated with code sharing: licensing, source code management, version management and dependency resolution. There are a wide selection of commonly used tools to help solve these problems, for example Git and Subversion.
A key goal of VHIRL was to externalise as much information management as was reasonable. VHIRL is a virtual laboratory: it is not designed to be a data store, software repository, or records management system. A solution was required that could hand off the management of provenance records and code to external services, with links between them, other data services and VHIRL jobs where appropriate.
Scientific software can be quite complicated and systems for managing dependencies and source vary from system to system. In order to provide the least friction for authors of software, we designed a system called the Scientific Software Solution Centre (SSSC) to manage solutions to scientific problems and deliver the solution templates, code and dependencies that enable them for use in VHIRL and other Virtual Laboratories and applications.
Continuous Integration - Live Static Analysis with Puma ScanPuma Security, LLC
Puma Scan is a software security Visual Studio analyzer extension providing real time, continuous source code analysis as development teams write code. Vulnerabilities are immediately displayed in the development environment as spell check and compiler warnings, preventing security bugs from entering your applications.
WOTS2E: A Search Engine for a Semantic Web of ThingsAndreas Kamilaris
A Semantic Web of Things (SWoT) brings together the Semantic Web and the Web of Things (WoT), associating
semantically annotated information to web-enabled physical de-
vices, services and their data, towards seamless data integration and better understanding of real-world information. A missing element in order to realize SWoT is a standardized, scalable and flexible way to globally discover in (near) real time web-connected embedded devices, as well as their semantic data. To address this gap, we propose WOT Semantic Search Engine (WOTS2E), which is a search engine for the SWoT, based on web crawling, being able to discover Linked Data endpoints and, through them, WoT-enabled devices and their services. In this presentation, we describe the design, development and implementation of WOTS2E, as well as an evaluation procedure showing its operation and performance across the web.
Proactive ops for container orchestration environmentsDocker, Inc.
Break -> inspect -> fix is the Ops workflow for infrastructure stacks of the past. Distributed infrastructure and applications claim to be the new generation, but why is it so much more painful to maintain and troubleshoot them? Much of the pain comes from outdated operational models relying on reactive or, worse yet, manual monitoring and Ops.
This talk lays out a proactive Ops model for container infrastructure. By focusing on event monitoring, infrastructure state monitoring, trend analysis, and distributed log collection, a proactive Ops model delivers observability for distributed apps that was not possible before. Using real-world examples from Swarm and Kubernetes, we'll demonstrate the tools used and how we relieve Ops pain in container orchestration.
Search engines, and Apache Solr in particular, are quickly shifting the focus away from “big data” systems storing massive amounts of raw (but largely unharnessed) content, to “smart data” systems where the most relevant and actionable content is quickly surfaced instead. Apache Solr is the blazing-fast and fault-tolerant distributed search engine leveraged by 90% of Fortune 500 companies. As a community-driven open source project, Solr brings in diverse contributions from many of the top companies in the world, particularly those for whom returning the most relevant results is mission critical.
Out of the box, Solr includes advanced capabilities like learning to rank (machine-learned ranking), graph queries and distributed graph traversals, job scheduling for processing batch and streaming data workloads, the ability to build and deploy machine learning models, and a wide variety of query parsers and functions allowing you to very easily build highly relevant and domain-specific semantic search, recommendations, or personalized search experiences. These days, Solr even enables you to run SQL queries directly against it, mixing and matching the full power of Solr’s free-text, geospatial, and other search capabilities with the a prominent query language already known by most developers (and which many external systems can use to query Solr directly).
Due to the community-oriented nature of Solr, the ecosystem of capabilities also spans well beyond just the core project. In this talk, we’ll also cover several other projects within the larger Apache Lucene/Solr ecosystem that further enhance Solr’s smart data capabilities: bi-directional integration of Apache Spark and Solr’s capabilities, large-scale entity extraction, semantic knowledge graphs for discovering, traversing, and scoring meaningful relationships within your data, auto-generation of domain-specific ontologies, running SPARQL queries against Solr on RDF triples, probabilistic identification of key phrases within a query or document, conceptual search leveraging Word2Vec, and even Lucidworks’ own Fusion project which extends Solr to provide an enterprise-ready smart data platform out of the box.
We’ll dive into how all of these capabilities can fit within your data science toolbox, and you’ll come away with a really good feel for how to build highly relevant “smart data” applications leveraging these key technologies.
Genomic Computation at Scale with Serverless, StackStorm and Docker SwarmDmitri Zimine
Presented on SuperComputing SC17 on Nov 14/2017 by Dmitri Zimine.
This talk is a story of bio-tech meeting DevOps to produce genomic computations, economically, and at scale.
Genomic computation is growing in demand as it comes to the mainstream practices of bio-technology, agriculture, and personal medicine. It also explodes the demand for compute resources. In fact, with inexpensive next-gen sequencing, some labs sequence over 1,000,000 billion bases per year. Genetic data banks are growing over 10x annually. How to compute the genomic data at massive scale, and do it in a cost-efficient way?
In the presentation, we describe and demonstrate a serverless solution built with Docker, Docker Swarm, StackStorm and other tools from the DevOps toolchain on AWS. The solution offers a new take on creating and computing a bio-informatic pipelines that can run at high scale and at optimal cost.
http://sc17.supercomputing.org/presentation/?id=exforum106&sess=sess150
Laying the Foundation for Ionic Platform Insights on SparkIonic Security
The Ionic Analytics team shares insights about the system they built using Spark and Databricks to enable low cost, flexible reporting and lay a foundation for advanced analytics.
These slides were originally presented at the Databricks Data+ML Workshop entitled "Unify Data Pipelines with Machine Learning" on Tuesday September 11 2018 in Atlanta, GA.
FIWARE Wednesday Webinars - How to Debug IoT AgentsFIWARE
How to Debug IoT Agents Webinar - 17th April 2019
Corresponding webinar recording: https://youtu.be/FRqJsywi9e8
Chapter: IoT Agents
Difficulty: 3
Audience: Any Technical
Presenter: Jason Fox (Senior Technical Evangelist, FIWARE Foundation)
How to debug IoT Agents - investigating what goes wrong and how to fix it.
Non-Invasive Elimination of Logical Access Control Vulnerabilities in Web A...Denis Kolegov
This work describes non-invasive methods for elimination logical access control vulnerabilities of web applications. You will learn basic approaches that help implement new access control policy and eliminate some of the most common authorization vulnerabilities without modifying the web application's source code.
Covert Timing Channels using HTTP Cache HeadersDenis Kolegov
In this presentation covert timing channels using HTTP cache headers are described. Peculiarities of programming implementation of the covert channels depending on HTTP cache headers, threat model, programming language (C, JavaScript, Python, Ruby) and environment (web-browser, malicious software) are considered. The basic characteristics of the implemented covert channels are provided. Module and extension implementing ETag-based covert timing channels that were implemented in BeEF framework are discussed.
General Method of HTTP Messages Authentication Based on Hash Functions in Web...Denis Kolegov
HTTP messages authentication method for web applications is offered. The method can protect web
application against attack based on authentication and authorization weaknesses. It is
showed how HTTP authentication can be expressed in the terms of the attribute based
access control model (ABAC). Implementation of the ABAC access control decision mechanism can use an authentication cryptographic protocol.
CFD Simulation of By-pass Flow in a HRSG module by R&R Consult.pptxR&R Consult
CFD analysis is incredibly effective at solving mysteries and improving the performance of complex systems!
Here's a great example: At a large natural gas-fired power plant, where they use waste heat to generate steam and energy, they were puzzled that their boiler wasn't producing as much steam as expected.
R&R and Tetra Engineering Group Inc. were asked to solve the issue with reduced steam production.
An inspection had shown that a significant amount of hot flue gas was bypassing the boiler tubes, where the heat was supposed to be transferred.
R&R Consult conducted a CFD analysis, which revealed that 6.3% of the flue gas was bypassing the boiler tubes without transferring heat. The analysis also showed that the flue gas was instead being directed along the sides of the boiler and between the modules that were supposed to capture the heat. This was the cause of the reduced performance.
Based on our results, Tetra Engineering installed covering plates to reduce the bypass flow. This improved the boiler's performance and increased electricity production.
It is always satisfying when we can help solve complex challenges like this. Do your systems also need a check-up or optimization? Give us a call!
Work done in cooperation with James Malloy and David Moelling from Tetra Engineering.
More examples of our work https://www.r-r-consult.dk/en/cases-en/
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Student information management system project report ii.pdfKamal Acharya
Our project explains about the student management. This project mainly explains the various actions related to student details. This project shows some ease in adding, editing and deleting the student details. It also provides a less time consuming process for viewing, adding, editing and deleting the marks of the students.
Saudi Arabia stands as a titan in the global energy landscape, renowned for its abundant oil and gas resources. It's the largest exporter of petroleum and holds some of the world's most significant reserves. Let's delve into the top 10 oil and gas projects shaping Saudi Arabia's energy future in 2024.
Explore the innovative world of trenchless pipe repair with our comprehensive guide, "The Benefits and Techniques of Trenchless Pipe Repair." This document delves into the modern methods of repairing underground pipes without the need for extensive excavation, highlighting the numerous advantages and the latest techniques used in the industry.
Learn about the cost savings, reduced environmental impact, and minimal disruption associated with trenchless technology. Discover detailed explanations of popular techniques such as pipe bursting, cured-in-place pipe (CIPP) lining, and directional drilling. Understand how these methods can be applied to various types of infrastructure, from residential plumbing to large-scale municipal systems.
Ideal for homeowners, contractors, engineers, and anyone interested in modern plumbing solutions, this guide provides valuable insights into why trenchless pipe repair is becoming the preferred choice for pipe rehabilitation. Stay informed about the latest advancements and best practices in the field.
TECHNICAL TRAINING MANUAL GENERAL FAMILIARIZATION COURSEDuvanRamosGarzon1
AIRCRAFT GENERAL
The Single Aisle is the most advanced family aircraft in service today, with fly-by-wire flight controls.
The A318, A319, A320 and A321 are twin-engine subsonic medium range aircraft.
The family offers a choice of engines
Hybrid optimization of pumped hydro system and solar- Engr. Abdul-Azeez.pdffxintegritypublishin
Advancements in technology unveil a myriad of electrical and electronic breakthroughs geared towards efficiently harnessing limited resources to meet human energy demands. The optimization of hybrid solar PV panels and pumped hydro energy supply systems plays a pivotal role in utilizing natural resources effectively. This initiative not only benefits humanity but also fosters environmental sustainability. The study investigated the design optimization of these hybrid systems, focusing on understanding solar radiation patterns, identifying geographical influences on solar radiation, formulating a mathematical model for system optimization, and determining the optimal configuration of PV panels and pumped hydro storage. Through a comparative analysis approach and eight weeks of data collection, the study addressed key research questions related to solar radiation patterns and optimal system design. The findings highlighted regions with heightened solar radiation levels, showcasing substantial potential for power generation and emphasizing the system's efficiency. Optimizing system design significantly boosted power generation, promoted renewable energy utilization, and enhanced energy storage capacity. The study underscored the benefits of optimizing hybrid solar PV panels and pumped hydro energy supply systems for sustainable energy usage. Optimizing the design of solar PV panels and pumped hydro energy supply systems as examined across diverse climatic conditions in a developing country, not only enhances power generation but also improves the integration of renewable energy sources and boosts energy storage capacities, particularly beneficial for less economically prosperous regions. Additionally, the study provides valuable insights for advancing energy research in economically viable areas. Recommendations included conducting site-specific assessments, utilizing advanced modeling tools, implementing regular maintenance protocols, and enhancing communication among system components.
Courier management system project report.pdfKamal Acharya
It is now-a-days very important for the people to send or receive articles like imported furniture, electronic items, gifts, business goods and the like. People depend vastly on different transport systems which mostly use the manual way of receiving and delivering the articles. There is no way to track the articles till they are received and there is no way to let the customer know what happened in transit, once he booked some articles. In such a situation, we need a system which completely computerizes the cargo activities including time to time tracking of the articles sent. This need is fulfilled by Courier Management System software which is online software for the cargo management people that enables them to receive the goods from a source and send them to a required destination and track their status from time to time.
Final project report on grocery store management system..pdfKamal Acharya
In today’s fast-changing business environment, it’s extremely important to be able to respond to client needs in the most effective and timely manner. If your customers wish to see your business online and have instant access to your products or services.
Online Grocery Store is an e-commerce website, which retails various grocery products. This project allows viewing various products available enables registered users to purchase desired products instantly using Paytm, UPI payment processor (Instant Pay) and also can place order by using Cash on Delivery (Pay Later) option. This project provides an easy access to Administrators and Managers to view orders placed using Pay Later and Instant Pay options.
In order to develop an e-commerce website, a number of Technologies must be studied and understood. These include multi-tiered architecture, server and client-side scripting techniques, implementation technologies, programming language (such as PHP, HTML, CSS, JavaScript) and MySQL relational databases. This is a project with the objective to develop a basic website where a consumer is provided with a shopping cart website and also to know about the technologies used to develop such a website.
This document will discuss each of the underlying technologies to create and implement an e- commerce website.
Cosmetic shop management system project report.pdfKamal Acharya
Buying new cosmetic products is difficult. It can even be scary for those who have sensitive skin and are prone to skin trouble. The information needed to alleviate this problem is on the back of each product, but it's thought to interpret those ingredient lists unless you have a background in chemistry.
Instead of buying and hoping for the best, we can use data science to help us predict which products may be good fits for us. It includes various function programs to do the above mentioned tasks.
Data file handling has been effectively used in the program.
The automated cosmetic shop management system should deal with the automation of general workflow and administration process of the shop. The main processes of the system focus on customer's request where the system is able to search the most appropriate products and deliver it to the customers. It should help the employees to quickly identify the list of cosmetic product that have reached the minimum quantity and also keep a track of expired date for each cosmetic product. It should help the employees to find the rack number in which the product is placed.It is also Faster and more efficient way.
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2. About us
• Arseny Reutov
• Head of application security research at Positive Technologies
• Member of Positive Hack Days (https://phdays.com) conference board
• Occasional web security blogger (https://raz0r.name)
• Denis Kolegov
• Team lead of Application Firewall research at Positive Technologies
• PhD, associate professor at Tomsk State University
• Web security micro blogger (https://twitter.com/dnkolegov)
3. Outline
• The stuff we are going to talk about is joint work of PT Application Firewall
Research Team developing a database firewall prototype as a part of our application
firewall
• Thanks to
Arseny Reutov
Denis Kolegov
Vladimir Kochetkov
Igor Kanygin
Nikolay Tkachenko
Ivan Hudyashov
Sergey Grechnev
Sergey Reshetnikov
4. Agenda
• Intro
• WAF and DBFW
• Related Work
• Our Prototype
• Parser
• Protectors
Profiler
Dejector
SQLi
Access Control
IAM
• Roadmap
14. What is Database Firewall?
Database firewalls are a type of application firewalls which
• Monitor database activity
• Detect database specific attacks
• Protect sensitive information stored in the databases
• Implement adequate access control models
15. Database Firewall Deployment
Like WAFs database firewalls can be deployed
• in proxy mode
• in sniffer mode via a SPAN port (mirrored traffic)
• as a host-based agent
16. What Database Firewall Can Do?
Database firewalls can do several actions on each query:
• Pass
• Log for monitoring purposes
• Alert
• Rewrite query
• Block (either by dropping connection or by generating a native error code)
21. SQL Injection Detection: Green SQL
• Green SQL have been mod_security of DBFWs for many
years, but open source project is no longer maintained
• SQL Injection detection is based on risk score using metrics:
SQL comments
Sensitive tables
OR token
UNION token
Variable comparison
Always true expressions
and more
22. SQL Injection Detection: Machine Learning
SOFIA: An Automated Security Oracle for Black-Box Testing of SQL-Injection Vulnerabilities
23. SQL Injection Detection: Machine Learning
• ”SOFIA is significantly more accurate than antiSQLi and GreenSQL and
significantly faster than antiSQLi in classifying legitimate SQL
statements and SQLi attacks.”
• However, it takes lots of computing power to train the model since tree
operations are time expensive
• The algorithm is not tolerant to attacks during training
35. Profiler
• SQL profiler is a basic protection mechanism implemented in all database firewalls
• It works like linting utilities or linters (e.g. eslint, pylint, cppint, etc.), but analyses
SQL queries and check if they satisfy security policy (SQL profile)
• The main goal is to prevent using of SQLi automatic tools and exploits
• SQL profile can be
Static: created by manual configuration
Dynamic: created by source code analysis tools
38. AST Example
Dejector is a context-free parse tree validation approach to preventing SQL Injection,
proposed by Hansen and Patterson in 2005
Given a set of known-good queries and the base formal grammar, Dejector builds a
new subgrammar that contains only the rules required to produce exactly the queries
in the known-good set
Strings recognized by the subgrammar are guaranteed to be structurally identical to
those in the known-good set
The subgrammar is then used with a parser generator such as bison or ANTLR to
produce a recognizer for the sublanguage
42. Strict Mode
a
b c
f
hg
i j
l
k
m
b1
f
d1
new UCST ANTLR v4 grammar:
a: b | c | pd | b1 | d1 ;
b1: f;
c: f;
f: g | h;
g: i | j;
i: l;
…
p d
43. Strict Dejector Parsing Time Results
Python 2.7 MySQL
~ 0.643 / 0.0019 sec
~ 0.67 / 0.002 sec
~ 0.33 / 0.003 sec
~ 0.32 / 0.009 sec
Python 2.7 SubMySQL
~ 0.09 / 0.0011 sec
~ 0.102 / 0.0011 sec
~ 0.09 / 0.001 sec
~ 0.18 / 0.005 sec
Test
SELECT * FROM a WHERE b='c'
SELECT * FROM a WHERE b BETWEEN 'c' AND 'd'
INSERT INTO passbook VALUES('a','b','c','d','e','f','g','h')
CREATE TABLE a (b int(5) AUTO_INCREMENT, c date, d
VARCHAR(255), e VARCHAR(255), f VARCHAR(255), g int(10), h
int(10), i float(10,2), j VARCHAR(255), PRIMARY KEY (b))
~ 1.54 / 0.003 sec ~ 0.09 / 0.001 secSELECT * FROM (((((((SELECT col1 FROM t1) AS ttt))))))*
* Query can not be derived in SubMySQL grammar
45. WAF + DBFW
• Suppose that we have both WAF and DBFW deployed:
Client WAF Web Server DBFW Database
46. HTTP & SQL Correlation
In order to correlate SQL queries with HTTP packets a host-based module can be
deployed on the web server which will append session cookie into each SQL query in
a comment section
47. HTTP & SQL Correlation
• When these modified queries reach DBFW it can look up those
session identifiers in the database shared with WAF
• WAF holding access control policy for web users acts as
information point, i.e. it provides user information given a
session cookie
• DBFW serves as enforcement point, effectively blocking or
allowing queries
48. HTTP & SQL Correlation
• What if we do not have a chance to deploy a host module (agent)?
• We can still try to correlate HTTP and SQL using time-throttled request processing
• Idea is that we process HTTP requests synchronously, observe emitted SQL queries, and associate
them with HTTP requests
49. SQL Injection Detection
• Using host-based agent we can effectively detect SQL Injections
• Agent injects into an SQL comment data about HTTP parameters that were
observed when executing SQL query
50. SQLi Detection Approach
• DBFW replaces each occurrence of HTTP parameter value
found in SQL query with a constant
• Then it tries to parse and get tokens firstly for the original query
and then for the second one with replaced constants
• If a number of tokens is different, an SQL Injection is reported
since constant replacement have caused changes in the query
structure
51. AST-based Detection
• A better approach is to compare ASTs instead
• After traversal of the ASTs, if differences are found, an SQL Injection is
reported because constant replacement have caused changes in AST
52. It decreases number of false positives. Does this mechanism decrease
false negatives too?
One of bypasses for owasp-modsecurity-crs found by Ivan Novikov
It is not detected by libinjection too due to the context issue
From Theory to Practice
curl 'localhost/index.html?id=1%20or%20true'
1%20or%20true
id=1.or-id
id=.1or-UTC_DATE—
)-sleep(9999
sleep(9999)
*/UNION SELECT password FROM users--
54. SQLi Detection Example
GET /app/?id=1%20or%20true HTTP/1.1
Host: example.com
Connection: close
Accept: text/html,application/xhtml+xml,application/xml;q=0.9,image/webp,*/*;q=0.8
Accept-Encoding: gzip, deflate, sdch
Accept-Language: ru-RU,ru;q=0.8,en-US;q=0.6,en;q=0.4
55. SQLi Detection Example
GET /app/?id=1%20or%20true HTTP/1.1
Host: example.com
Connection: close
Accept: text/html,application/xhtml+xml,application/xml;q=0.9,image/webp,*/*;q=0.8
Accept-Encoding: gzip, deflate, sdch
Accept-Language: ru-RU,ru;q=0.8,en-US;q=0.6,en;q=0.4
/*{"get_args":[{"id":"1 or true"}]}*/ select * from users where clientid = 1 or true
56. SQLi Detection Example
GET /app/?id=1%20or%20true HTTP/1.1
Host: example.com
Connection: close
Accept: text/html,application/xhtml+xml,application/xml;q=0.9,image/webp,*/*;q=0.8
Accept-Encoding: gzip, deflate, sdch
Accept-Language: ru-RU,ru;q=0.8,en-US;q=0.6,en;q=0.4
/*{"get_args":[{"id":"1 or true"}]}*/ select * from users where clientid = 1 or true
select * from users where clientid = ""
select * from users where clientid = 1 or true
58. SQLi Detection Example
select * from users where clientid = ""
select * from users where clientid = 1 or true
select
*
from
users
where
id
=
""
Lexems
select
*
from
users
where
id
=
1
or
true
Lexems
59. SQLi Detection Example
select * from users where clientid = ""
select * from users where clientid = 1 or true
select
*
from
users
where
id
=
""
Lexems
select
*
from
users
where
id
=
1
or
true
Lexems
8 ≠ 10
60. SQLi Detection Example
select * from users where id = ""
select * from users where id = 1 or true
select
*
from
users
where
clientid
=
""
Lexems
select
*
from
users
where
clientid
=
1
or
true
Lexems
8 ≠ 10
62. Access Control
• All types of application firewalls should have access control mechanisms
• The main statement of any access policy: All entities must be identified
• Entities identification in account-based systems: at least it is necessary to identify
web application subjects (users) that initiate queries to DBMS
• Approaches
Many-to-many applications
HTTP and SQL user tracking
RASP
• Angine - ABAC eNgine
68. Angine Example
from Angine.policy import Policy
from Angine.pip import PIP
from Angine.pdp import PDP
def pep():
...
request = get_request(network)
policy = Policy(alfa_mysql_policy)
pip = PIP.init_data(mongo_connection)
pdp = PDP(policy.get_lua_policy())
ctx = pip.create_ctx(request)
response = pdp.evaluate(ctx)
if response["result"]["decision"] != "permit":
return None
else:
return process(request)
69. Angine Results
• ALFAScript IDL to runtime language code generator
• ALFAScript language
• ALFAScript to Lua transcompiler
• PDP and PIP implementations for runtime language
• Common parsers (HTTP, mysql, tsql)
70. Roadmap
• Host agents for C#, Java
• ANTLR-based C++ parser
• Release MySQL grammar for ANTLR4
• PT Application Firewall integration
• SQL user tracking
• Machine learning for sensitive data discovery
• Inspected Application Module for DBFW
73. Inspected Application Module
Vladimir Kochetkov. Do WAFs dream of static analyzers?
Peculiarities
Web-only IAM can not process non HTTP attack vectors
There are some cases when CompFG is not adequate to detect attacks
• Loops, recursion
• Internal and external dependencies
The idea is to build SQL profile based on application code, compile it to binary module
and run on the DBFW
This approach can be used to detect second order SQL injection attacks
75. SQL IAM Example
…
$sql = "select * from data where id= intval(".$_POST["id"])
$result = mysql_query($sql, $connection)
$row = mysql_fetch_row($result)
$sql = "select * from data where fname=' ".$row[2]. " ' "
76. SQL IAM Example
…
$sql = "select * from data where id= intval(".$_POST["id"])
$result = mysql_query($sql, $connection)
$row = mysql_fetch_row($result)
$sql = "select * from data where fname=' ".$row[2]. " ' "
Untrusted data read from database.
What if fname is ' or '1' = '1 ?
Second order SQL injection
77. SQL IAM Example
…
$sql = "select * from data where id= intval(".$_POST["id"])
$result = mysql_query($sql, $connection)
$row = mysql_fetch_row($result)
$sql = "select * from data where fname=' ".$row[2]. " ' "
The main SQL injection feature:
a number of tokens more that one
78. SQL IAM Example
…
$sql = "select * from data where id= intval(".$_POST["id"])
$result = mysql_query($sql, $connection)
$row = mysql_fetch_row($result)
$sql = "select * from data where fname=' ".$row[2]. " ' "
(concat "select * from data where fname=" (
concat (index-access row 2) "'"))
79. SQL IAM Example
…
$sql = "select * from data where id= intval(".$_POST["id"])
$result = mysql_query($sql, $connection)
$row = mysql_fetch_row($result)
$sql = "select * from data where fname=' ".$row[2]. " ' "
(concat "select * from data where fname=" (
concat (index-access row 2) "'"))
(call mysql_fetch_row (call mysql_query (concat
"select * from data where id=intval(" (concat (index-
access POST, "id") ")")) connection))
80. SQL IAM Example
…
$sql = "select * from data where id= intval(".$_POST["id"])
$result = mysql_query($sql, $connection)
$row = mysql_fetch_row($result)
$sql = "select * from data where fname=' ".$row[2]. " ' "
№ Query hash Index Tokens
1 87248237482347 [(28,-1)] 1
2 13475837458758 [(32,-1)] 1
81. SQLi IAM Example
GET /app/?id=1000 HTTP/1.1
Host: example.com
Connection: close
Accept: text/html,application/xhtml+xml,application/xml;q=0.9,image/webp,*/*;q=0.8
Accept-Encoding: gzip, deflate, sdch
Accept-Language: ru-RU,ru;q=0.8,en-US;q=0.6,en;q=0.4
select * from data where id=1000
select * from data where fname='john' or '1'='1'
1 ≠ 2
Editor's Notes
WAF is not just a set of rules,
WAF can employ various mechanisms to detect attacks,
Although WAF is about HTTP, in order to be effective it should correlate data from different sources.
And it is because web applications have changed.
WAF is not just a set of rules,
WAF can employ various mechanisms to detect attacks,
Although WAF is about HTTP, in order to be effective it should correlate data from different sources.
And it is because web applications have changed.
WAF is not just a set of rules,
WAF can employ various mechanisms to detect attacks,
Although WAF is about HTTP, in order to be effective it should correlate data from different sources.
And it is because web applications have changed.
Modern web applications are a mix of different technologies, frameworks and protocols. It is no longer enough just to analyze HTTP/1.1 packets as a set of parameters that may contain SQL injection payloads.
An effective WAF consists of several interconnected layers that can operate independently but also augment each other to achieve better protection.
An effective WAF consists of several interconnected layers that can operate independently but also augment each other to achieve better protection.
An effective WAF consists of several interconnected layers that can operate independently but also augment each other to achieve better protection.
An effective WAF consists of several interconnected layers that can operate independently but also augment each other to achieve better protection.
Both WAF and DBFW are blackbox
WAF and DBFW can operate independently
WAF can enrich DBFW data for better protection
Both WAF and DBFW are blackbox
WAF and DBFW can operate independently
WAF can enrich DBFW data for better protection
Both WAF and DBFW are blackbox
WAF and DBFW can operate independently
WAF can enrich DBFW data for better protection