Securing Devops — Detection of Vulnerabilities in CD Pipelines
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Java Programming Standards & Reference Guide
Java Programming Standards & Reference Guide Version 3.2 Office of Information & Technology Department of Veterans Affairs Java Programming Standards & Reference Guide, Version 3.2 REVISION HISTORY DATE VER. DESCRIPTION AUTHOR CONTRIBUTORS 10-26-15 3.2 Added Logging Sid Everhart JSC Standards , updated Vic Pezzolla checkstyle installation instructions and package name rules. 11-14-14 3.1 Added ground rules for Vic Pezzolla JSC enforcement 9-26-14 3.0 Document is continually Raymond JSC and several being edited for Steele OI&T noteworthy technical accuracy and / PD Subject Matter compliance to JSC Experts (SMEs) standards. 12-1-09 2.0 Document Updated Michael Huneycutt Sr 4-7-05 1.2 Document Updated Sachin Mai L Vo Sharma Lyn D Teague Rajesh Somannair Katherine Stark Niharika Goyal Ron Ruzbacki 3-4-05 1.0 Document Created Sachin Sharma i Java Programming Standards & Reference Guide, Version 3.2 ABSTRACT The VA Java Development Community has been establishing standards, capturing industry best practices, and applying the insight of experienced (and seasoned) VA developers to develop this “Java Programming Standards & Reference Guide”. The Java Standards Committee (JSC) team is encouraging the use of CheckStyle (in the Eclipse IDE environment) to quickly scan Java code, to locate Java programming standard errors, find inconsistencies, and generally help build program conformance. The benefits of writing quality Java code infused with consistent coding and documentation standards is critical to the efforts of the Department of Veterans Affairs (VA). This document stands for the quality, readability, consistency and maintainability of code development and it applies to all VA Java programmers (including contractors). -
Command Line Interface
Command Line Interface Squore 21.0.2 Last updated 2021-08-19 Table of Contents Preface. 1 Foreword. 1 Licence. 1 Warranty . 1 Responsabilities . 2 Contacting Vector Informatik GmbH Product Support. 2 Getting the Latest Version of this Manual . 2 1. Introduction . 3 2. Installing Squore Agent . 4 Prerequisites . 4 Download . 4 Upgrade . 4 Uninstall . 5 3. Using Squore Agent . 6 Command Line Structure . 6 Command Line Reference . 6 Squore Agent Options. 6 Project Build Parameters . 7 Exit Codes. 13 4. Managing Credentials . 14 Saving Credentials . 14 Encrypting Credentials . 15 Migrating Old Credentials Format . 16 5. Advanced Configuration . 17 Defining Server Dependencies . 17 Adding config.xml File . 17 Using Java System Properties. 18 Setting up HTTPS . 18 Appendix A: Repository Connectors . 19 ClearCase . 19 CVS . 19 Folder Path . 20 Folder (use GNATHub). 21 Git. 21 Perforce . 23 PTC Integrity . 25 SVN . 26 Synergy. 28 TFS . 30 Zip Upload . 32 Using Multiple Nodes . 32 Appendix B: Data Providers . 34 AntiC . 34 Automotive Coverage Import . 34 Automotive Tag Import. 35 Axivion. 35 BullseyeCoverage Code Coverage Analyzer. 36 CANoe. 36 Cantata . 38 CheckStyle. .. -
Squore Acceptance Provides a Fast and High Return on Investment by Efficiently
Acceptance SQUORE Squoring Technologies delivers an innovative decision-making dashboard dedicated to managing outsourced software development projects. Acceptance represents a key phase of every software development project, whatever the process: Acquisition or Third Party Application Maintenance. Beyond functional suitability, Acceptance must consider all software product dimensions, from quality characteristics such as Reliability, Maintainability and Performance, to work products like source code, requirements and test cases. TREND As required by the CMMI®, Supplier Management INDICATOR implies an objective and impartial assessment of these components, based on quantified measurement criteria adapted to the context and objectives of each project. Squore Acceptance provides a fast and high return on investment by efficiently: Contractualizing non- Increasing confidence Securing deployment functional, technical between customer and and operation. requirements. supplier. Defining common and Demonstrating compliance Reducing acceptance shared acceptance of deliverables with costs and efforts. criteria. quality requirements. Visit www.squore-acceptance.com Innovative features dedicated to the management of outsourced software projects. “Out-of-the-box” standardized control points, metrics and rules using best industry standards, and still customizable to fit in-house practices. Predefined software product quality models based on international standards: ISO SQuaRE 25010, ISO/IEC 9126, ECSS Quality Handbook, SQUALE . Standardized evaluation process in accordance with ISO/IEC 14598 and ISO/IEC 15939 standards. Squore covers all software product quality characteristics under a standard breakdown Quantified acceptance criteria for every type of deliverable, from requirements to documentation, via source code and test cases. Comprehensive overview of software product compliance through Key Performance Indicators and trend analysis. Unrivaled in-depth analysis where at-risk components are immediately identified, down to the most elementary function or method. -
Write Your Own Rules and Enforce Them Continuously
Ultimate Architecture Enforcement Write Your Own Rules and Enforce Them Continuously SATURN May 2017 Paulo Merson Brazilian Federal Court of Accounts Agenda Architecture conformance Custom checks lab Sonarqube Custom checks at TCU Lessons learned 2 Exercise 0 – setup Open www.dontpad.com/saturn17 Follow the steps for “Exercise 0” Pre-requisites for all exercises: • JDK 1.7+ • Java IDE of your choice • maven 3 Consequences of lack of conformance Lower maintainability, mainly because of undesired dependencies • Code becomes brittle, hard to understand and change Possible negative effect • on reliability, portability, performance, interoperability, security, and other qualities • caused by deviation from design decisions that addressed these quality requirements 4 Factors that influence architecture conformance How effective the architecture documentation is Turnover among developers Haste to fix bugs or implement features Size of the system Distributed teams (outsourcing, offshoring) Accountability for violating design constraints 5 How to avoid code and architecture disparity? 1) Communicate the architecture to developers • Create multiple views • Structural diagrams + behavior diagrams • Capture rationale Not the focus of this tutorial 6 How to avoid code and architecture disparity? 2) Automate architecture conformance analysis • Often done with static analysis tools 7 Built-in checks and custom checks Static analysis tools come with many built-in checks • They are useful to spot bugs and improve your overall code quality • But they’re -
Code Review Guide
CODE REVIEW GUIDE 3.0 RELEASE Project leaders: Mr. John Doe and Jane Doe Creative Commons (CC) Attribution Free Version at: https://www.owasp.org 1 2 F I 1 Forward - Eoin Keary Introduction How to use the Code Review Guide 7 8 10 2 Secure Code Review 11 Framework Specific Configuration: Jetty 16 2.1 Why does code have vulnerabilities? 12 Framework Specific Configuration: JBoss AS 17 2.2 What is secure code review? 13 Framework Specific Configuration: Oracle WebLogic 18 2.3 What is the difference between code review and secure code review? 13 Programmatic Configuration: JEE 18 2.4 Determining the scale of a secure source code review? 14 Microsoft IIS 20 2.5 We can’t hack ourselves secure 15 Framework Specific Configuration: Microsoft IIS 40 2.6 Coupling source code review and penetration testing 19 Programmatic Configuration: Microsoft IIS 43 2.7 Implicit advantages of code review to development practices 20 2.8 Technical aspects of secure code review 21 2.9 Code reviews and regulatory compliance 22 5 A1 3 Injection 51 Injection 52 Blind SQL Injection 53 Methodology 25 Parameterized SQL Queries 53 3.1 Factors to Consider when Developing a Code Review Process 25 Safe String Concatenation? 53 3.2 Integrating Code Reviews in the S-SDLC 26 Using Flexible Parameterized Statements 54 3.3 When to Code Review 27 PHP SQL Injection 55 3.4 Security Code Review for Agile and Waterfall Development 28 JAVA SQL Injection 56 3.5 A Risk Based Approach to Code Review 29 .NET Sql Injection 56 3.6 Code Review Preparation 31 Parameter collections 57 3.7 Code Review Discovery and Gathering the Information 32 3.8 Static Code Analysis 35 3.9 Application Threat Modeling 39 4.3.2. -
Open Source Tools for Measuring the Internal Quality of Java Software Products
Open source tools for measuring the Internal Quality of Java software products. Asurvey P. Tomas, M.J. Escalona , M. Mejias Department of Computer and Systems, ETS Ingenieria Informatica, University of Seville, Av. Reina Mercedes S/N, 41012 Seville,Spain abstract Keywords: Collecting metrics and indicators to assess objectively the different products resulting during the lifecycle Software product of a software project is a research area that encompasses many different aspects, apart from being highly Tools demanded by companies and software development teams. Open source Focusing on software products, one of the most used methods by development teams for measuring Internal Metrics Quality is the static analysis of the source code. This paper works in this line and presents a study of the state- Internal Quality of-the-art open source software tools that automate the collection of these metrics, particularly for Automation fi Static analysis developments in Java. These tools have been compared according to certain criteria de ned in this study. Source code Java Contents 1. Introduction.............................................................. 245 2. Relatedwork............................................................. 246 3. Planningandconductingthereview................................................... 246 3.1. Acharacterizationschema.................................................... 247 3.1.1. Metricsimplemented.................................................. 248 3.1.2. Functionalfeaturescovered.............................................. -
Adhering to Coding Standards and Finding Bugs in Code Automatically
Adhering to Coding Standards and Finding Bugs in Code Automatically Presenters: Muhammad Wasim Hammad Ali Butt Al-khawarzimi Institute of Computer Science Agenda Introduction Software Quality Assurance Code: The base for Quality Code: Writing it Code: Reviewing it How Review tools help? Selecting a Code Review Tools How they compare to each other? Conclusion Al-khawarizimi Institute of Computer Science Introduction Software Quality Quality Attributes • Maintainability • Flexibility • Testability • Portability • Reusability • Interoperability • Correctness • Reliability • Efficiency • Integrity • Usability Code: The Base for Quality Software Quality comes with a lot of benefits Al-khawarizimi Institute of Computer Science SQA and Benefits Development/Technical: Increase Readability Easy to locate problem area Performance Enhancements Compliance between Specs & Code Criteria for software acceptance Management: Better Progress visibility Better decision criteria Reduced Maintenance cost Al-khawarizimi Institute of Computer Science Code: The Base for Quality Better Coding Styles (Structured to OOP) Commenting of Code Coding Conventions Design Patterns Low Coupling High Cohesiveness Resource Management Remove Repetition of Code Al-khawarizimi Institute of Computer Science Code: Writing it Well Managed Code Well Written Code Standardized Code Defensive Coding An ideal programmer won’t leave any bugs for compiler or QA team. Al-khawarizimi Institute of Computer Science Code: Reviewing It Review Meetings Peer Review Benefits: Code Optimization Reduced Cost Programmer Improvement Static Code Analysis is used for Code Review. Al-khawarizimi Institute of Computer Science Code Review on a Typical Project http://smartbear.com/docs/articles/before-code-review.jpg Al-khawarizimi Institute of Computer Science Code Review on a Typical Project http://smartbear.com/docs/articles/after-code-review.jpg Al-khawarizimi Institute of Computer Science Code Review & Issues Human is error prone. -
Multi-Step Scanning in ZAP Handling Sequences in OWASP ZAP
M.Sc. Thesis Master of Science in Engineering Multi-step scanning in ZAP Handling sequences in OWASP ZAP Lars Kristensen (s072662) Stefan Østergaard Pedersen (s072653) Kongens Lyngby 2014 DTU Compute Department of Applied Mathematics and Computer Science Technical University of Denmark Matematiktorvet Building 303B 2800 Kongens Lyngby, Denmark Phone +45 4525 3031 [email protected] www.compute.dtu.dk Summary English This report presents a solution for scanning sequences of HTTP requests in the open source penetration testing tool, Zed Attack Proxy or ZAP. The report documents the analysis, design and implementation phases of the project, as well as explain how the different test scenarios were set up and used for verification of the functionality devel- oped in this project. The proposed solution will serve as a proof-of-concept, before being integrated with the publically available version of the application. Dansk Denne rapport præsenterer en løsning der gør det muligt at skanne HTTP fore- spørgsler i open source værktøjet til penetrationstest, Zed Attack Proxy eller ZAP. Rapporten dokumenterer faserne for analyse, design og implementering af løsningen, samt hvordan forskellige test scenarier blev opstillet og anvendt til at verificere funk- tionaliteten udviklet i dette projekt. Den foreslåede løsning vil fungere som et proof- of-concept, før det integreres med den offentligt tilgængelige version af applikationen. ii Preface This thesis was prepared at the department of Applied Mathematics and Computer Science at the Technical University of Denmark in fulfilment of the requirements for acquiring a M.Sc. degree in respectivly Computer Science and Engineering, and in Digital Media Engineering. Kongens Lyngby, September 5. -
Code Review Guide
CODE REVIEW GUIDE 2.0 RELEASE Project leaders: Larry Conklin and Gary Robinson Creative Commons (CC) Attribution Free Version at: https://www.owasp.org 1 F I 1 Forward - Eoin Keary Introduction How to use the Code Review Guide 7 8 10 2 Secure Code Review 11 Framework Specific Configuration: Jetty 16 2.1 Why does code have vulnerabilities? 12 Framework Specific Configuration: JBoss AS 17 2.2 What is secure code review? 13 Framework Specific Configuration: Oracle WebLogic 18 2.3 What is the difference between code review and secure code review? 13 Programmatic Configuration: JEE 18 2.4 Determining the scale of a secure source code review? 14 Microsoft IIS 20 2.5 We can’t hack ourselves secure 15 Framework Specific Configuration: Microsoft IIS 40 2.6 Coupling source code review and penetration testing 19 Programmatic Configuration: Microsoft IIS 43 2.7 Implicit advantages of code review to development practices 20 2.8 Technical aspects of secure code review 21 2.9 Code reviews and regulatory compliance 22 5 A1 3 Injection 51 Injection 52 Blind SQL Injection 53 Methodology 25 Parameterized SQL Queries 53 3.1 Factors to Consider when Developing a Code Review Process 25 Safe String Concatenation? 53 3.2 Integrating Code Reviews in the S-SDLC 26 Using Flexible Parameterized Statements 54 3.3 When to Code Review 27 PHP SQL Injection 55 3.4 Security Code Review for Agile and Waterfall Development 28 JAVA SQL Injection 56 3.5 A Risk Based Approach to Code Review 29 .NET Sql Injection 56 3.6 Code Review Preparation 31 Parameter collections 57 3.7 Code Review Discovery and Gathering the Information 32 3.8 Static Code Analysis 35 3.9 Application Threat Modeling 39 4.3.2. -
Defining and Assessing Software Quality by Quality Models
Defining and Assessing Software Quality by Quality Models Klaus Lochmann Institut für Informatik der Technischen Universität München Defining and Assessing Software Quality by Quality Models Klaus Lochmann Vollständiger Abdruck der von der Fakultät für Informatik der Technischen Universität München zur Erlangung des akademischen Grades eines Doktors der Naturwissenschaften (Dr. rer. nat.) genehmigten Dissertation. Vorsitzender: Univ.-Prof. Bernd Brügge, Ph. D. Prüfer der Dissertation: 1. Univ.-Prof. Dr. Dr. h.c. Manfred Broy 2. o. Univ.-Prof. Dr. Gustav Pomberger Johannes Kepler Universität Linz / Österreich Die Dissertation wurde am 31.07.2013 bei der Technischen Universität München eingereicht und durch die Fakultät für Informatik am 11.12.2013 angenommen. Abstract Software quality plays an important role for companies today, as it is in a direct relation to the costs arising in the lifecycle of software. However, the notion of quality is diverse. A software mainte- nance organization, for instance, defines high quality of software as enabling effective maintenance of it. For operators of computing centers, high quality means that the available computing and memory resources are efficiently used. An end user experiences software as high quality when it supports his tasks in an effective and efficient manner and thus reduces effort for him. In software engineering research, a lot of work has already been dedicated to the topic of software quality and quality assurance. However, we claim that there is no generally accepted definition of quality. The quality models providing taxonomical definitions face several problems, such as being ambiguous, overlapping, and incomplete. This prevents the quality models from supporting the definition of useful quality requirements. -
Software Qualimetry at Schneider Electric: a Field Background Hervé Dondey, Christophe Peron
Software Qualimetry at Schneider Electric: a field background Hervé Dondey, Christophe Peron To cite this version: Hervé Dondey, Christophe Peron. Software Qualimetry at Schneider Electric: a field background. Embedded Real Time Software and Systems (ERTS2012), Feb 2012, Toulouse, France. hal-02263431 HAL Id: hal-02263431 https://hal.archives-ouvertes.fr/hal-02263431 Submitted on 4 Aug 2019 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. Software Qualimetry at Schneider Electric: a field background By Hervé Dondey - Strategy & Innovation - Software Efficiency Team – Schneider Electric and Christophe Peron – SQuORING Technologies Abstract: This paper presents the Source Code Quality Indicators (SCQI) project led by the Strategy & Innovation corporate team to deploy Software Qualimetry within a large-scale multi-national organization such as Schneider Electric (SE) 1. The related method (SCQI) was designed from a list of relevant use cases and relies on the main concepts of the SQALE [1] evaluation method. To support this method, SE has selected the SQuORE [2] platform thanks to its capability to allow large-scale deployment together with high versatility and adaptability to local needs. Feedback and lessons learned from initial deployments are now used to speed up the qualimetry process institutionalization within the whole company. -
Working Document 5.5.4, V6.0 -. | Davide Taibi
QualiPSo Quality Platform for Open Source Software IST-FP6-IP-034763 Working document 5.5.4, V6.0 User guides for the WP5.5 toolset Anja Hentschel (SIE) Klaus P. Berg (SIE) Vieri del Bianco (INS) Davide Taibi (INS) Davide Tosi (INS) Tomasz Krysztofiak (PNSC) Davide dalle Carbonare (ENG) Hongbo Xu (GMRC) Jonathan Pares (GMRC) Auri Vincenzi (USP) Paulo Meirelles (USP) Due date of deliverable: 31/10/2010 Actual submission date: 31/01/2011 This work is licensed under the Creative Commons Attribution-Share Alike 3.0 License. To view a copy of this license, visit http://creativecommons.org/licenses/by-sa/3.0/ or send a letter to Creative Commons, 171 Second Street, Suite 300, San Francisco, California, 94105, USA QualiPSo • 034763 • WD5.5.4_V6.0 • Page 1 of 138 Change History Version Date Status Author (Partner) Description 0.1 16/08/07 Draft Anja Hentschel Document structure and (SIE) initial content 0.2 22/10/07 Draft Anja Hentschel Input from Max. Almost (SIE) everything completely restructured. 0.3 31/10/07 Draft Anja Hentschel Input from Marion and (SIE) Abbas. 0.4 13/06/08 Draft Anja Hentschel New chapters: Testing (SIE), Klaus Berg (KB), User stories (VdB), (SIE), Vieri del Implementation concept Bianco (INS) (AH) Removed: description of evaluation methods 1.0 30/07/08 Release Anja Hentschel (SIE) 1.1 03/11/08 Draft All New chapters: Tool descriptions, Integration, Experiences and related appendices 1.2 07/11/08 Draft Anja Hentschel Some remaining gaps (SIE) filled 1.3 28/11/08 Draft Anja Hentschel Input from reviews (SIE) included;