fix: prevent ORM field injection via segment parameter in analytics (GHSA-93x3-ghh7-72j3) (#8864)

* fix: prevent ORM field injection via segment parameter in analytics (GHSA-93x3-ghh7-72j3)

Centralize analytics field allowlists into VALID_ANALYTICS_FIELDS and
VALID_YAXIS constants in analytics_plot.py. Add defense-in-depth
validation in build_graph_plot() and extract_axis() so no caller can
pass arbitrary field references to Django F() expressions. Add missing
segment validation to SavedAnalyticEndpoint. Also fixes ExportAnalytics
using "estimate_point" instead of "estimate_point__value".

* fix: address PR review - remove unused imports and validate stored query params

Remove unused VALID_ANALYTICS_FIELDS and VALID_YAXIS imports from
analytic_plot_export.py. Add x_axis/y_axis allowlist validation in
SavedAnalyticEndpoint for stored query_dict values to prevent 500
errors from malformed saved analytics.

apps/api/plane/app/views/analytic/base.py

@@ -29,7 +29,7 @@ from plane.db.models import (
     Module,
 )
 
-from plane.utils.analytics_plot import build_graph_plot
+from plane.utils.analytics_plot import build_graph_plot, VALID_ANALYTICS_FIELDS, VALID_YAXIS
 from plane.utils.issue_filters import issue_filters
 from plane.app.permissions import allow_permission, ROLE
 
@@ -41,32 +41,15 @@ class AnalyticsEndpoint(BaseAPIView):
         y_axis = request.GET.get("y_axis", False)
         segment = request.GET.get("segment", False)
 
-        valid_xaxis_segment = [
-            "state_id",
-            "state__group",
-            "labels__id",
-            "assignees__id",
-            "estimate_point__value",
-            "issue_cycle__cycle_id",
-            "issue_module__module_id",
-            "priority",
-            "start_date",
-            "target_date",
-            "created_at",
-            "completed_at",
-        ]
-
-        valid_yaxis = ["issue_count", "estimate"]
-
         # Check for x-axis and y-axis as thery are required parameters
-        if not x_axis or not y_axis or x_axis not in valid_xaxis_segment or y_axis not in valid_yaxis:
+        if not x_axis or not y_axis or x_axis not in VALID_ANALYTICS_FIELDS or y_axis not in VALID_YAXIS:
             return Response(
                 {"error": "x-axis and y-axis dimensions are required and the values should be valid"},
                 status=status.HTTP_400_BAD_REQUEST,
             )
 
         # If segment is present it cannot be same as x-axis
-        if segment and (segment not in valid_xaxis_segment or x_axis == segment):
+        if segment and (segment not in VALID_ANALYTICS_FIELDS or x_axis == segment):
             return Response(
                 {"error": "Both segment and x axis cannot be same and segment should be valid"},
                 status=status.HTTP_400_BAD_REQUEST,
@@ -214,13 +197,20 @@ class SavedAnalyticEndpoint(BaseAPIView):
         x_axis = analytic_view.query_dict.get("x_axis", False)
         y_axis = analytic_view.query_dict.get("y_axis", False)
 
-        if not x_axis or not y_axis:
+        if not x_axis or not y_axis or x_axis not in VALID_ANALYTICS_FIELDS or y_axis not in VALID_YAXIS:
             return Response(
-                {"error": "x-axis and y-axis dimensions are required"},
+                {"error": "x-axis and y-axis dimensions are required and the values should be valid"},
                 status=status.HTTP_400_BAD_REQUEST,
             )
 
         segment = request.GET.get("segment", False)
+
+        if segment and (segment not in VALID_ANALYTICS_FIELDS or x_axis == segment):
+            return Response(
+                {"error": "Both segment and x axis cannot be same and segment should be valid"},
+                status=status.HTTP_400_BAD_REQUEST,
+            )
+
         distribution = build_graph_plot(queryset=queryset, x_axis=x_axis, y_axis=y_axis, segment=segment)
         total_issues = queryset.count()
         return Response(
@@ -236,32 +226,15 @@ class ExportAnalyticsEndpoint(BaseAPIView):
         y_axis = request.data.get("y_axis", False)
         segment = request.data.get("segment", False)
 
-        valid_xaxis_segment = [
-            "state_id",
-            "state__group",
-            "labels__id",
-            "assignees__id",
-            "estimate_point",
-            "issue_cycle__cycle_id",
-            "issue_module__module_id",
-            "priority",
-            "start_date",
-            "target_date",
-            "created_at",
-            "completed_at",
-        ]
-
-        valid_yaxis = ["issue_count", "estimate"]
-
         # Check for x-axis and y-axis as thery are required parameters
-        if not x_axis or not y_axis or x_axis not in valid_xaxis_segment or y_axis not in valid_yaxis:
+        if not x_axis or not y_axis or x_axis not in VALID_ANALYTICS_FIELDS or y_axis not in VALID_YAXIS:
             return Response(
                 {"error": "x-axis and y-axis dimensions are required and the values should be valid"},
                 status=status.HTTP_400_BAD_REQUEST,
             )
 
         # If segment is present it cannot be same as x-axis
-        if segment and (segment not in valid_xaxis_segment or x_axis == segment):
+        if segment and (segment not in VALID_ANALYTICS_FIELDS or x_axis == segment):
             return Response(
                 {"error": "Both segment and x axis cannot be same and segment should be valid"},
                 status=status.HTTP_400_BAD_REQUEST,

apps/api/plane/utils/analytics_plot.py

@@ -22,6 +22,23 @@ from django.utils import timezone
 # Module imports
 from plane.db.models import Issue, Project
 
+VALID_ANALYTICS_FIELDS = [
+    "state_id",
+    "state__group",
+    "labels__id",
+    "assignees__id",
+    "estimate_point__value",
+    "issue_cycle__cycle_id",
+    "issue_module__module_id",
+    "priority",
+    "start_date",
+    "target_date",
+    "created_at",
+    "completed_at",
+]
+
+VALID_YAXIS = ["issue_count", "estimate"]
+
 
 def annotate_with_monthly_dimension(queryset, field_name, attribute):
     # Get the year and the months
@@ -34,6 +51,8 @@ def annotate_with_monthly_dimension(queryset, field_name, attribute):
 
 
 def extract_axis(queryset, x_axis):
+    if x_axis not in VALID_ANALYTICS_FIELDS:
+        raise ValueError(f"Invalid x_axis value: {x_axis}")
     # Format the dimension when the axis is in date
     if x_axis in ["created_at", "start_date", "target_date", "completed_at"]:
         queryset = annotate_with_monthly_dimension(queryset, x_axis, "dimension")
@@ -52,6 +71,13 @@ def sort_data(data, temp_axis):
 
 
 def build_graph_plot(queryset, x_axis, y_axis, segment=None):
+    if x_axis not in VALID_ANALYTICS_FIELDS:
+        raise ValueError(f"Invalid x_axis value: {x_axis}")
+    if y_axis not in VALID_YAXIS:
+        raise ValueError(f"Invalid y_axis value: {y_axis}")
+    if segment and segment not in VALID_ANALYTICS_FIELDS:
+        raise ValueError(f"Invalid segment value: {segment}")
+
     # temp x_axis
     temp_axis = x_axis
     # Extract the x_axis and queryset