website/templates/task_detail.html (1)

152-158: Minor UX: make payload textarea monospaced and disable autocorrect

Payloads are code-like; a monospace font reduces errors and improves readability. Disabling autocorrect/capitalization/spellcheck avoids unintended mutations on mobile.

Apply this diff:

-    <textarea id="payload"
+    <textarea id="payload"
               name="payload"
               rows="4"
-              class="shadow-sm focus:ring-[#e74c3c] focus:border-[#e74c3c] mt-1 block w-full sm:text-sm border border-gray-300 rounded-md p-3"
-              placeholder="Enter your command injection payload here... (e.g., 127.0.0.1; ls)"></textarea>
+              class="shadow-sm focus:ring-[#e74c3c] focus:border-[#e74c3c] mt-1 block w-full sm:text-sm border border-gray-300 rounded-md p-3 font-mono"
+              spellcheck="false" autocapitalize="off" inputmode="text"
+              placeholder="Enter your command injection payload here... (e.g., 127.0.0.1; ls)"></textarea>

website/management/commands/create_commands_injection_tasks.py (3)

1-1: Make the management command atomic to avoid partial updates

If an exception occurs midway (e.g., while creating content for task 5), you’ll end up with a partially-seeded lab. Wrap handle in a transaction.

Apply this diff:

 from django.core.management.base import BaseCommand
+from django.db import transaction
@@
-class Command(BaseCommand):
+class Command(BaseCommand):
     help = "Create Command Injection lab tasks"
 
-    def handle(self, *args, **options):
+    @transaction.atomic
+    def handle(self, *args, **options):

---

10-23: Ensure existing Lab metadata is updated on reruns

Currently, when the lab already exists, description/difficulty/is_active aren’t updated. This can leave stale data if content evolves. Update fields when created is False.

Apply this diff:

-        command_injection_lab, created = Labs.objects.get_or_create(
-            name="Command Injection",
-            defaults={
-                "description": "Learn about command injection vulnerabilities and how to exploit them",
-                "difficulty": "Intermediate",
-                "is_active": True,
-            },
-        )
+        lab_defaults = {
+            "description": "Learn about command injection vulnerabilities and how to exploit them",
+            "difficulty": "Intermediate",
+            "is_active": True,
+        }
+        command_injection_lab, created = Labs.objects.get_or_create(
+            name="Command Injection",
+            defaults=lab_defaults,
+        )
@@
-        else:
-            self.stdout.write(self.style.WARNING(f"Lab already exists: {command_injection_lab.name}"))
+        else:
+            # Keep lab metadata in sync across reruns
+            for field, value in lab_defaults.items():
+                setattr(command_injection_lab, field, value)
+            command_injection_lab.save(update_fields=list(lab_defaults.keys()))
+            self.stdout.write(self.style.WARNING(f"Lab already exists (updated): {command_injection_lab.name}"))

---

215-219: Fallback if update_total_tasks is absent

You already guard with hasattr. For completeness, consider a fallback to set lab.total_tasks = Tasks.objects.filter(lab=lab, is_active=True).count() to keep counts consistent even if the method is missing.

Here’s a minimal, guarded fallback:

-        if hasattr(command_injection_lab, "update_total_tasks"):
-            command_injection_lab.update_total_tasks()
+        if hasattr(command_injection_lab, "update_total_tasks"):
+            command_injection_lab.update_total_tasks()
+        else:
+            try:
+                total = Tasks.objects.filter(lab=command_injection_lab, is_active=True).count()
+                setattr(command_injection_lab, "total_tasks", total)
+                command_injection_lab.save(update_fields=["total_tasks"])
+            except Exception:
+                # Silently ignore if the field does not exist
+                pass

Configuration used: CodeRabbit UI

Review profile: CHILL

Plan: Pro

Knowledge Base: Disabled due to Reviews > Disable Knowledge Base setting

website/management/commands/create_commands_injection_tasks.py (4)

24-169: Content structure and idempotency look good

The tasks_data design is clear, and using update_or_create per (lab, order) ensures idempotent runs. The MCQ options align with the template’s option.0 usage and correct_answer values (“A”, “B”, etc.). Nicely done.

---

171-214: Good use of update_or_create for tasks and content

The idempotent pattern across tasks and their content reduces operational footguns when re-running the command. Clear console messages also help during seeding.

---

193-195: TaskContent.mcq_options correctly uses JSONField

The mcq_options field on TaskContent is already defined as

mcq_options = models.JSONField(default=list, blank=True)

which natively supports storing Python lists. No changes are required.

---

141-145: Action Required: Verify Shell Execution Context for Simulation Tasks

I did not find any invocation of subprocess.run (or similar) with shell=True, nor any use of os.system or shlex in the repository. This suggests that command‐injection simulation tasks may not be executed in a POSIX shell environment—and therefore constructs like ${IFS} and && would not be interpreted.

• Please locate and review the simulation engine’s execution logic to confirm whether it invokes a real shell (e.g. with shell=True).
• If it does not, either update the engine to support these shell features or adjust the success payloads to avoid relying on ${IFS} parameter expansion and shell‐specific operators (e.g. use simple separators or multiple payloads).