CSSLP:Certified Secure Software Lifecycle Professional Study Guide

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CSSLP: Certified Secure Software Lifecycle Professional exam helps you to build your career and you learn to incorporate security practices. After this certification, you will be able to possess advanced technical skills and knowledge necessary for authentication, authorization, and auditing throughout the SDLC. This certification will help candidates working in the software and security development sectors.

Target Audience:

Certified Secure Software Lifecycle Professional examination will be an added advantage to –

  • Firstly, Software Architect, Engineer, and developer
  • Secondly, Application Security Specialist
  • Then, Software Program Manager
  • Moreover, Quality Assurance Tester
  • Further, Penetration Tester
  • Also, Software Procurement Analyst
  • Furthermore, Project Manager
  • Not to mention, Security Manager
  • Additionally, IT Director/Manager
CSSLP Exam Prerequisites:

A minimum of four years of paid Software Development Lifecycle experience is required (SDLC). Internships and part-time jobs can also be counted toward the work experience requirement. However, you will require confirmation of your internship job on company/organization letterhead. However, the experience must be related to one or more of the (ISC)2 CSSLP exam’s eight areas.

Study Guide for CSSLP Exam

Industry-recognized certificates give you an advantage over other applicants. In addition, obtaining a professional certification improves your employability and displays your competence. For this exam, you must study and prepare well. This Study Guide ensures that you have all of the necessary materials and bridges the distance between you and your desired career. This book will undoubtedly help you prepare for the CSSLP Exam and pass it with flying colours.

Step 1- Review the CSSLP Exam Guide

The CSSLP Exam Guide is your one-stop-shop for all of your CSSLP exam questions. There’s nothing incorrect with claiming that the guide covers the test and its relevant subjects completely. Candidates who want a full study of knowledge should visit and bookmark this guide so they may access it from anywhere and at any time. It’s also crucial to go through the exam objectives again. Creating a study strategy based on the subjects covered in the test will undoubtedly assist you in passing the exam. This CSSLP Exam Outline covers the following domains:

Domain 1: Secure Software Concepts

1.1 Core Concepts

  • Confidentiality (e.g., encryption)
  • Integrity (e.g., hashing, digital signatures, code signing, reliability, modifications, authenticity)
  • Availability (e.g., redundancy, replication, clustering, scalability, resiliency)
  • Authentication (e.g., multi-factor authentication (MFA), identity & access management (IAM), single sign-on (SSO), federated identity, biometrics)
  • Authorization (e.g., access controls, permissions, entitlements)
  • Accountability (e.g., auditing, logging)
  • Nonrepudiation (e.g., digital signatures, block chain)
  • Governance, risk and compliance (GRC) standards (e.g., regulatory authority, legal, industry)

(ISC)2 Reference: CISSP Glossary

1.2 Security Design Principles

  • Least privilege (e.g., access control, need-to-know, run-time privileges, Zero Trust)
  • Segregation of Duties (SoD) (e.g., multi-party control, secret sharing, split knowledge)
  • Defense in depth (e.g., layered controls, geographical diversity, technical diversity, distributed systems)
  • Resiliency (e.g., fail safe, fail secure, no single point of failure, failover)
  • Economy of mechanism (e.g., single sign-on (SSO), password vaults, resource efficiency)
  • Complete mediation (e.g., cookie management, session management, caching of credentials)
  • Open design (e.g., Kerckhoffs’s principle, peer review, open source, crowd source)
  • Least common mechanism (e.g., compartmentalization/isolation, allow/accept list)
  • Psychological acceptability (e.g., password complexity, passwordless authentication, screen layouts, Completely Automated Public Turing test to tell Computers and Humans Apart (CAPTCHA))
  • Component reuse (e.g., common controls, libraries)

Domain 2: Secure Software Requirement

2.1 – Manage security within a software development methodology (e.g., Agile, waterfall)

2.2 – Identify and adopt security standards (e.g., implementing security frameworks, promoting security awareness)

2.3 – Outline strategy and roadmap

  • Security milestones and checkpoints (e.g., control gate, break/build criteria)

2.4 – Define and develop security documentation

2.5 – Define security metrics (e.g., criticality level, average remediation time, complexity, Key Performance Indicators (KPI), objectives and key results)

2.6 – Decommission applications

  • End of Life (EOL) policies (e.g., credential removal, configuration removal, license cancellation, archiving, service-level agreements (SLA))
  • Data disposition (e.g., retention, destruction, dependencies)

2.7 – Create security reporting mechanisms (e.g., reports, dashboards, feedback loops)

2.8 – Incorporate integrated risk management methods

  • Regulations, standards and guidelines (e.g., International Organization for Standardization (ISO), Payment Card Industry (PCI), National Institute of Standards and Technology (NIST), Open Web Application Security Project (OWASP), Software Assurance Forum for Excellence in Code (SAFECode), Software Assurance Maturity Model (SAMM), Building Security in Maturity Model (BSIMM))
  • Legal (e.g., intellectual property, breach notification)
  • Risk management (e.g., risk assessment, risk analysis)
  • Technical risk vs. business risk

2.9 – Implement secure operation practices

  • Change management process
  • Incident response plan
  • Verification and validation
  • Assessment and Authorization (A&A) process

Domain 3: Secure Software Requirements

3.1 – Define software security requirements

  • Functional (e.g., business requirements, use cases, stories)
  • Non-functional (e.g., security, operational, continuity, deployment)

3.2 – Identify compliance requirements

  • Regulatory authority
  • Legal
  • Industry-specific (e.g., defense, healthcare, commercial, financial, Payment Card Industry (PCI))
  • Company-wide (e.g., development tools, standards, frameworks, protocols)

3.3 – Identify data classification requirements

  • Data ownership (e.g., data dictionary, data owner, data custodian)
  • Data labeling (e.g., sensitivity, impact)
  • Data types (e.g., structured, unstructured)
  • Data lifecycle (e.g., generation, storage, retention, disposal)
  • Data handling (e.g., personally identifiable information (PII), publicly available information)

3.4 – Identify privacy requirements

  • Data collection scope
  • Data anonymization (e.g., pseudo-anonymous, fully anonymous)
  • User rights (legal) and preferences (e.g., data disposal, right to be forgotten, marketing preferences, sharing and using third parties, terms of service)
  • Data retention (e.g., how long, where, what)
  • Cross-border requirements (e.g., data residency, jurisdiction, multi-national data processing boundaries)

3.5 – Define data access provisioning

  • User provisioning
  • Service accounts
  • Reapproval process

3.6 – Develop misuse and abuse

  • Mitigating control identification

3.7 – Develop security requirement traceability matrix

3.8 – Define third-party vendor security requirements

Domain 4: Secure Software Architecture and Design

4.1 – Define the security architecture

  • Secure architecture and design patterns (e.g., Sherwood Applied Business Security Architecture (SABSA), security chain of responsibility, federated identity)
  • Security controls identification and prioritization
  • Distributed computing (e.g., client server, peer-to-peer (P2P), message queuing, N-tier)
  • Service-oriented architecture (SOA) (e.g., enterprise service bus, web services, microservices)
  • Rich internet applications (e.g., client-side exploits or threats, remote code execution, constant connectivity)
  • Pervasive/ubiquitous computing (e.g., Internet of Things (IoT), wireless, location-based, Radio-Frequency Identification (RFID), Near Field Communication (NFC), sensor networks, mesh)
  • Embedded software (e.g., secure boot, secure memory, secure update)
  • Cloud architectures (e.g., Software as a Service (SaaS), Platform as a Service (PaaS), Infrastructure as a Service (IaaS))
  • Mobile applications (e.g., implicit data collection privacy)
  • Hardware platform concerns (e.g., side-channel mitigation, speculative execution mitigation, secure element, firmware, drivers)
  • Cognitive computing (e.g., artificial intelligence (AI), virtual reality, augmented reality)
  • Industrial Internet of Things (IoT) (e.g., facility-related, automotive, robotics, medical devices, software-defined production processes)

4.2 – Perform secure interface design

  • Security management interfaces, out-of-band management, log interfaces
  • Upstream/downstream dependencies (e.g., key and data sharing between apps)
  • Protocol design choices (e.g., application programming interfaces (API), weaknesses, state, models)

4.3 – Evaluate and select reusable technologies

  • Credential management (e.g., X.509, single sign-on (SSO))
  • Flow control (e.g., proxies, firewalls, protocols, queuing)
  • Data loss prevention (DLP)
  • Virtualization (e.g., Infrastructure as code (IaC), hypervisor, containers)
  • Trusted computing (e.g., Trusted Platform Module (TPM), Trusted Computing Base (TCB))
  • Database security (e.g., encryption, triggers, views, privilege management, secure connections)
  • Programming language environment (e.g., common language runtime, Java virtual machine (VM), Python, PowerShell)
  • Operating system (OS) controls and services
  • Secure backup and restoration planning
  • Secure data retention, retrieval, and destruction

4.4 – Perform threat modeling

  • Threat modeling methodologies (e.g., Spoofing, Tampering, Repudiation, Information Disclosure, Denial of Service, and Elevation of Privilege (STRIDE), Process for Attack Simulation and Threat Analysis (PASTA), Hybrid Threat Modeling Method, Common Vulnerability Scoring System (CVSS))
  • Common threats (e.g., advanced persistent threat (APT), insider threat, common malware, third-party suppliers)
  • Attack surface evaluation
  • Threat analysis
  • Threat intelligence (e.g., identify credible relevant threats, predict)

4.5 – Perform architectural risk assessment and design reviews

4.6 – Model (non-functional) security properties and constraints

4.7 – Define secure operational architecture (e.g., deployment topology, operational interfaces, Continuous Integration and Continuous Delivery (CI/CD))

Domain 5: Secure Software Implementation

5.1 – Adhere to relevant secure coding practices (e.g., standards, guidelines, regulations)

  • Declarative versus imperative (programmatic) security
  • Concurrency (e.g., thread safety, database concurrency controls)
  • Input validation and sanitization
  • Error and exception handling
  • Output sanitization (e.g., encoding, obfuscation)
  • Secure logging & auditing (e.g., confidentiality, privacy)
  • Session management
  • Trusted/untrusted application programming interfaces (API), and libraries
  • Resource management (e.g., compute, storage, network, memory management)
  • Secure configuration management (e.g., baseline security configuration, credentials management)
  • Tokenization
  • Isolation (e.g., sandboxing, virtualization, containerization, Separation Kernel Protection Profiles)
  • Cryptography (e.g., payload, field level, transport, storage, agility, encryption, algorithm selection)
  • Access control (e.g., trust zones, function permissions, role-based access control (RBAC), discretionary access control (DAC), mandatory access control (MAC))
  • Processor microarchitecture security extensions

5.2 – Analyze code for security risks

  • Secure code reuse
  • Vulnerability databases/lists (e.g., Open Web Application Security Project (OWASP) Top 10, Common Weakness Enumerations (CWE), SANS Top 25 Most Dangerous Software Errors)
  • Static application security testing (SAST) (e.g., automated code coverage, linting)
  • Manual code review (e.g., peer review)
  • Inspect for malicious code (e.g., backdoors, logic bombs, high entropy)

5.3 – Implement security controls (e.g., watchdogs, file integrity monitoring, anti-malware)

5.4 – Address the identified security risks (e.g., risk strategy)

5.5 – Evaluate and integrate components

  • Systems-of-systems integration (e.g., trust contracts, security testing, analysis)
  • Reusing third-party code or open-source libraries in a secure manner (e.g., software composition analysis)

5.6 – Apply security during the build process

  • Anti-tampering techniques (e.g., code signing, obfuscation)
  • Compiler switches
  • Address compiler warnings

Domain 6: Secure Software Testing

6.1 – Develop security testing strategy & plan

  • Standards (e.g., International Organization for Standardization (ISO), Open Source Security Testing Methodology Manual, Software Engineering Institute)
  • Functional security testing (e.g., logic)
  • Nonfunctional security testing (e.g., reliability, performance, scalability)
  • Testing techniques (e.g., known environment testing, unknown environment testing, functional testing, acceptance testing)
  • Testing environment (e.g., interoperability, test harness)
  • Security researcher outreach (e.g., bug bounties)

6.2 – Develop security test cases

  • Attack surface validation
  • Automated vulnerability testing (e.g., dynamic application security testing (DAST), interactive application security testing (IAST))
  • Penetration tests (e.g., security controls, known vulnerabilities, known malware)
  • Fuzzing (e.g., generated, mutated)
  • Simulation (e.g., simulating production environment and production data, synthetic transactions)
  • Failure (e.g., fault injection, stress testing, break testing))
  • Cryptographic validation (e.g., pseudorandom number generators, entropy)
  • Unit testing and code coverage
  • Regression tests
  • Integration tests
  • Continuous testing
  • Misuse and abuse test cases

6.3 – Verify and validate documentation (e.g., installation and setup instructions, error messages, user guides, release notes)

6.4 – Identify undocumented functionality

6.5 – Analyze security implications of test results (e.g., impact on product management, prioritization, break/build criteria)

6.6 – Classify and track security errors

  • Bug tracking (e.g., defects, errors and vulnerabilities)
  • Risk scoring (e.g., Common Vulnerability Scoring System (CVSS))

6.7 – Secure test data

  • Generate test data (e.g., referential integrity, statistical quality, production representative)
  • Reuse of production data (e.g., obfuscation, sanitization, anonymization, tokenization, data aggregation mitigation)

6.8 – Perform verification and validation testing (e.g., independent/internal verification and validation, acceptance test)

Domain 7: Secure Software Deployment, Operations, Maintenance

7.1 – Perform operational risk analysis

  • Deployment environment (e.g., staging, production, quality assurance (QA))
  • Personnel training (e.g., administrators vs. users)
  • Legal compliance (e.g., adherence to guidelines, regulations, privacy laws, copyright, etc.)
  • System integration

7.2 – Secure configuration and version control

  • Hardware
  • Baseline configuration
  • Version control/patching
  • Documentation practices

7.3 – Release software securely

  • Secure Continuous Integration and Continuous Delivery (CI/CD) pipeline (e.g., DevSecOps)
  • Application security toolchain
  • Build artifact verification (e.g., code signing, hashes)

7.4 – Store and manage security data

  • Credentials
  • Secrets
  • Keys/certificates
  • Configurations

7.5 – Ensure secure installation

  • Secure boot (e.g., key generation, access, management)
  • Least privilege
  • Environment hardening (e.g., configuration hardening, secure patch/updates, firewall)
  • Secure provisioning (e.g., credentials, configuration, licensing, Infrastructure as code (IaC))
  • Security policy implementation

7.6 – Obtain security approval to operate (e.g., risk acceptance, sign-off at appropriate level)

7.7 – Perform information security continuous monitoring

  • Observable data (e.g., logs, events, telemetry, trace data, metrics)
  • Threat intelligence
  • Intrusion detection/response
  • Regulation and privacy changes
  • Integration analysis (e.g., security information and event management (SIEM))

7.8 – Execute the incident response plan

  • Incident triage
  • Forensics
  • Remediation
  • Root cause analysis

7.9 – Perform patch management (e.g. secure release, testing)

7.10 – Perform vulnerability management (e.g., tracking, triaging, Common Vulnerabilities and Exposures (CVE))

7.11 – Incorporate runtime protection (e.g., Runtime Application Self Protection (RASP), web application firewall (WAF), Address Space Layout Randomization (ASLR), dynamic execution prevention)

7.12 – Support continuity of operations

  • Backup, archiving, retention
  • Disaster recovery plan (DRP)
  • Resiliency (e.g., operational redundancy, erasure code, survivability, denial-of-service (DoS))
  • Business continuity plan (BCP)

7.13 – Integrate service level objectives and service-level agreements (SLA) (e.g., maintenance, performance, availability, qualified personnel)

Domain 8: Secure Software Supply Chain

8.1 – Implement software supply chain risk management (e.g., International Organization for Standardization (ISO), National Institute of Standards and Technology (NIST))

  • Identification and selection of the components
  • Risk assessment of the components (e.g., mitigate, accept)
  • Maintaining third-party components list (e.g., software bill of materials)
  • Monitoring for changes and vulnerabilities

8.2 – Analyze security of third-party software

  • Certifications
  • Assessment reports (e.g., cloud controls matrix)
  • Origin and support

8.3 – Verify pedigree and provenance

  • Secure transfer (e.g., chain of custody, authenticity, integrity)
  • System sharing/interconnections
  • Code repository security
  • Build environment security
  • Cryptographically-hashed, digitally-signed components
  • Right to audit

8.4 – Ensure and verify supplier security requirements in the acquisition process

  • Audit of security policy compliance (e.g., secure software development practices)
  • Vulnerability/incident notification, response, coordination, and reporting
  • Maintenance and support structure (e.g., community versus commercial, licensing)
  • Security track record
  • Scope of testing (e.g., shared responsibility model)
  • Log integration into security information and event management (SIEM)

8.5 – Support contractual requirements (e.g., intellectual property ownership, code escrow, liability, warranty, End-User License Agreement (EULA), service-level agreements (SLA))

Step 2- Discover Learning Resources

Selecting the appropriate materials can make your preparations go more smoothly. These materials are essential in your preparations and will help you learn more effectively. There are several resources accessible in the marketplace from which to pick. Don’t worry; we’ve taken care of the time-consuming work of compiling the necessary materials.

– Go for Self-placed Training

(ISC)² Online Self-Paced Training often known as private on-site training, is a viable alternative to traditional classroom training. Candidates may learn at their own pace with interactive study materials in these sophisticated and unique training courses. The training materials are only available for 120 days.

CSSLP online tutorials
CSSLP Flashcards

CSSLP test candidates may now study whenever and wherever they choose for the certification exam. However, the CSSLP Flashcards from (ISC)2 allow candidates to obtain rapid feedback on their questions. Individual cards can also be flagged for further study using these flashcards. To make learning easier and more efficient, the cards are divided into sections for each subject.

– Enrol for Instructor-led Training

Instructor-led training is an alternative for applicants who want to prepare for the test. These online training events enable you to join from the comfort of your own computer, saving you time and money on the trip. For such practical assessments, training is required to obtain hands-on expertise.

Step 3- Join Study groups

Joining study groups is an excellent method to become totally immersed in the certification test for which you applied. These groups will assist you in keeping up to know with any recent modifications or exam updates. In addition, both novices and professionals are represented in these clubs. You are free to ask any test-related question or discuss the exam without the fear of being judged. The research becomes more extensive as a result of the discussions in these groups. Introverts, who may normally avoid dialogues, get an opportunity to express themselves. Online groups are extremely effective at forming a community that is necessary for understanding people.

Step 4- Evaluate yourself with Practice Tests

Finally, we’ve reached the conclusion of the preliminary guide. Furthermore, this final phase will provide the candidate with a precise understanding of the subjects in which they are deficient. So, when you’ve gone over the full curriculum, make sure you’re taking practice examinations. Most significantly, all CSSLP Practice Exams are created to simulate the real-world exam setting. Practice papers, on the other hand, might come from a variety of places. Above all, remember that the more you put yourself to the test, the better you will become.  SO START PRACTICING NOW! .

CSSLP  free practice tests
Get ready to become a CSSLP: Certified Secure Software Lifecycle Professional . Start your preparations Now!
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