High School IntermediateModule I98 Lessons + Module Test
I9: Secure Coding Basics
Learn how fictional development teams build security into requirements, architecture, implementation, review, testing, deployment, monitoring, and maintenance. This module focuses on defensive coding habits, professional evidence, safe validation, and clear ownership rather than offensive exploitation.
How do developers turn security expectations into reliable, testable, maintainable code and configuration?
Secure coding is not one function, tool, scan, or checklist. A fictional application becomes safer when requirements, architecture, implementation, review, tests, deployment, monitoring, and ownership all agree. Defenders must also preserve legitimate workflows and explain exactly what their evidence proves.
Safety Boundary
Fictional, Inert, Authorized, and Defensive
All applications, code examples, accounts, sessions, requests, values, files, packages, builds, services, logs, findings, users, and organizations in Module I9 are fictional. Do not create harmful payloads, exploit real software, access accounts, scan systems, modify deployments, expose credentials, or publish private source code or data.
Professional Workflow
Six Steps from Requirement to Closure
1
Define the secure requirement
State what the fictional application must protect, who owns the requirement, which misuse must be prevented, and how success will be measured.
2
Map the design and trust boundaries
Identify fictional users, services, data, entry points, privileges, dependencies, transitions, failure paths, and business workflows.
3
Implement safe patterns
Use fictional validation, parameterization, safe rendering, authorization, least privilege, secret management, secure defaults, and structured evidence.
4
Review the code and configuration
Compare fictional implementation with requirements, architecture, approved patterns, runtime settings, dependencies, and deployment standards.
5
Test both success and failure
Confirm fictional legitimate workflows work while invalid, unauthorized, expired, duplicate, unsafe, and misconfigured conditions are denied.
6
Monitor, learn, and close
Use fictional logs, alerts, user feedback, business records, rollback readiness, residual risk, and owner approval to support closure.
Learning Objectives
By the End of Module I9
1
Explain how security requirements belong in every phase of a fictional software-development lifecycle.
2
Create fictional threat models that connect assets, users, trust boundaries, misuse cases, controls, owners, and evidence.
3
Apply defensive coding patterns for input, output, data, authentication, sessions, access control, errors, logs, secrets, dependencies, and configuration.
4
Review fictional code and tool findings without treating every warning as proof of an exploitable weakness.
5
Design positive, negative, abuse-case, regression, deployment, monitoring, and rollback validation.
6
Produce a professional fictional secure-coding report with facts, conclusions, confidence, gaps, remediation, residual risk, and closure criteria.
Lessons
Complete All Eight Lessons
Lesson 1 of 8
I9.1: Secure Development Lifecycle and Security Requirements
Learn how fictional development teams include security requirements, ownership, review gates, acceptance criteria, privacy boundaries, misuse cases, and validation throughout planning, design, implementation, testing, deployment, and maintenance.
Defensive lab
Build a fictional secure-development checklist for a student-support application and connect each requirement to an owner, evidence source, test, monitoring signal, and closure condition.
Map fictional users, data, components, trust boundaries, entry points, dependencies, privileges, failure paths, and business workflows to identify where defensive controls are required.
Defensive lab
Create a fictional data-flow and trust-boundary review for a school portal, then rank risks using evidence, likelihood, impact, existing controls, and remediation ownership.
Examine fictional identity verification, secure session creation, rotation, expiration, revocation, object authorization, tenant isolation, privileged operations, reauthentication, and least privilege.
Defensive lab
Trace a fictional account from sign-in through session creation and protected object access, then identify missing checks and design positive and negative authorization tests.
Design fictional safe errors, structured security events, request correlation, privacy-aware logging, secret storage, service identities, rotation, redaction, and operational monitoring.
Defensive lab
Improve a fictional application that reveals stack details, stores sensitive values in logs, and uses an overprivileged shared secret while preserving useful defender evidence.
Create a fictional dependency and deployment review that separates known risk, reachable code, business exposure, compensating controls, update testing, and residual risk.
Use fictional peer review, focused checklists, static analysis, unit tests, integration tests, negative tests, abuse-case tests, regression tests, monitoring, and evidence-based findings.
Defensive lab
Review a fictional pull request and supplied test evidence, separate tool warnings from confirmed weaknesses, recommend narrow fixes, and define reproducible validation.
Module I9 repeatedly asks you to connect a requirement to code, behavior, remediation, and validation. The preview below shows how separate records support a defensible finding without exposing real software or private data.
Evidence source
Security requirement
Fictional record
Fictional requirement SR-12 states that teachers may view only assigned student-support records.
Supports
A documented authorization and privacy expectation with an accountable owner.
Evidence source
Code review
Fictional record
A fictional route validates authentication but does not verify the requested record’s assignment relationship.
Supports
A specific object-authorization weakness in the reviewed code path.
Evidence source
Negative test
Fictional record
A fictional teacher account can request another teacher’s record before remediation.
Supports
The weakness produces an unauthorized result in the supplied safe test environment.
Evidence source
Remediation
Fictional record
The fictional server resolves the record, tenant, and assignment using trusted data before returning content.
Supports
A narrow server-side correction aligned with the requirement.
Evidence source
Validation
Fictional record
Assigned-record access succeeds while unassigned, wrong-tenant, missing-session, and expired-session cases are denied.
Supports
Positive and negative evidence for the remediated control.
Evidence source
Monitoring
Fictional record
Seven days of fictional monitoring show normal assigned access and no unexplained authorization denials.
Supports
Short-term operational stability within the monitored scope.
Portfolio Outcome
Secure Coding Review Report
By completing I9.8, you will produce a fictional portfolio artifact that demonstrates secure-development reasoning, evidence handling, professional findings, remediation planning, validation, monitoring, and closure.
1
Executive summary and fictional scope
2
Application architecture and trust boundaries
3
Security requirements and acceptance criteria
4
Threat model and attack-surface inventory
5
Secure coding and configuration findings
6
Confirmed facts, conclusions, alternatives, and evidence gaps
7
Owners, remediation, due dates, and dependencies
8
Positive, negative, abuse-case, and regression tests
9
Deployment validation, monitoring, and rollback
10
Residual risk, lessons learned, and closure approval
Module Assessment
I9 Module Test: Secure Coding Basics
After completing all eight lessons, take the twenty-five-question module test. The assessment covers lifecycle security, threat modeling, input and output safety, identity, sessions, access control, errors, logs, secrets, dependencies, configuration, review, testing, evidence, remediation, and closure.