diff --git a/internal/modules/ml_tracking_exposure_test.go b/internal/modules/ml_tracking_exposure_test.go
new file mode 100644
index 0000000..1499440
--- /dev/null
+++ b/internal/modules/ml_tracking_exposure_test.go
@@ -0,0 +1,223 @@
+package modules_test
+
+import (
+	"context"
+	"net/http"
+	"net/http/httptest"
+	"testing"
+	"time"
+
+	"github.com/vmfunc/sif/internal/modules"
+)
+
+func runTrackingModule(t *testing.T, file string, status int, body string) *modules.Result {
+	t.Helper()
+	def, err := modules.ParseYAMLModule(file)
+	if err != nil {
+		t.Fatalf("parse %s: %v", file, err)
+	}
+	srv := httptest.NewServer(http.HandlerFunc(func(w http.ResponseWriter, r *http.Request) {
+		w.WriteHeader(status)
+		_, _ = w.Write([]byte(body))
+	}))
+	defer srv.Close()
+
+	res, err := modules.ExecuteHTTPModule(context.Background(), srv.URL, def, modules.Options{
+		Timeout: 5 * time.Second,
+		Threads: 2,
+	})
+	if err != nil {
+		t.Fatalf("execute %s: %v", file, err)
+	}
+	return res
+}
+
+func trackingExtract(res *modules.Result, key string) string {
+	for _, f := range res.Findings {
+		if v := f.Extracted[key]; v != "" {
+			return v
+		}
+	}
+	return ""
+}
+
+func TestMLTrackingExposureModules(t *testing.T) {
+	const mlflow = "../../modules/recon/mlflow-api-exposure.yaml"
+	const tensorboard = "../../modules/recon/tensorboard-exposure.yaml"
+	const aim = "../../modules/recon/aim-exposure.yaml"
+	const determined = "../../modules/recon/determined-master-exposure.yaml"
+
+	mlflowExperiment := `{"experiment":{"experiment_id":"0","name":"Default",` +
+		`"artifact_location":"file:///mlflow/mlruns/0","lifecycle_stage":"active",` +
+		`"creation_time":1700000000000,"last_update_time":1700000000000,"tags":[]}}`
+
+	tensorboardEnv := `{"data_location":"/home/ml/runs/exp-2024","window_title":"",` +
+		`"experiment_name":"","experiment_description":"","creation_time":0,"version":"2.16.2"}`
+
+	aimProject := `{"name":"my-aim-repo","path":"/home/ml/.aim","description":"",` +
+		`"telemetry_enabled":0,"warn_index":false,"warn_runs":false}`
+
+	determinedMaster := `{"version":"0.27.1","master_id":"6f1f2a9c","cluster_id":"a1b2c3d4-e5f6-7890",` +
+		`"cluster_name":"prod-cluster","telemetry_enabled":true,"rbac_enabled":false,` +
+		`"strict_job_queue_control":false,"has_custom_logo":false,"branding":"determined"}`
+
+	t.Run("an mlflow experiment is flagged with its artifact store", func(t *testing.T) {
+		res := runTrackingModule(t, mlflow, 200, mlflowExperiment)
+		if len(res.Findings) == 0 {
+			t.Fatal("expected an mlflow finding")
+		}
+		if v := trackingExtract(res, "mlflow_artifact_location"); v != "file:///mlflow/mlruns/0" {
+			t.Errorf("mlflow_artifact_location=%q, want file:///mlflow/mlruns/0", v)
+		}
+	})
+
+	t.Run("an experiment_id without lifecycle_stage is not flagged as mlflow", func(t *testing.T) {
+		body := `{"experiment_id":"5","artifact_location":"s3://bucket/x"}`
+		if res := runTrackingModule(t, mlflow, 200, body); len(res.Findings) > 0 {
+			t.Errorf("a partial body should not match mlflow, got %d findings", len(res.Findings))
+		}
+	})
+
+	t.Run("an experiment without an artifact_location is not flagged as mlflow", func(t *testing.T) {
+		body := `{"experiment":{"experiment_id":"0","name":"Default","lifecycle_stage":"active"}}`
+		if res := runTrackingModule(t, mlflow, 200, body); len(res.Findings) > 0 {
+			t.Errorf("an artifactless experiment should not match mlflow, got %d findings", len(res.Findings))
+		}
+	})
+
+	t.Run("an experiment without an experiment_id is not flagged as mlflow", func(t *testing.T) {
+		body := `{"experiment":{"name":"Default","artifact_location":"file:///x","lifecycle_stage":"active"}}`
+		if res := runTrackingModule(t, mlflow, 200, body); len(res.Findings) > 0 {
+			t.Errorf("an idless experiment should not match mlflow, got %d findings", len(res.Findings))
+		}
+	})
+
+	t.Run("a generic lifecycle body is not flagged as mlflow", func(t *testing.T) {
+		body := `{"lifecycle_stage":"production","name":"some-service"}`
+		if res := runTrackingModule(t, mlflow, 200, body); len(res.Findings) > 0 {
+			t.Errorf("a generic lifecycle body should not match mlflow, got %d findings", len(res.Findings))
+		}
+	})
+
+	t.Run("a model checkpoint list is not flagged as mlflow", func(t *testing.T) {
+		body := `[{"title":"x","model_name":"y","filename":"z"}]`
+		if res := runTrackingModule(t, mlflow, 200, body); len(res.Findings) > 0 {
+			t.Errorf("a model list should not match mlflow, got %d findings", len(res.Findings))
+		}
+	})
+
+	t.Run("a tensorboard environment is flagged with its version and run path", func(t *testing.T) {
+		res := runTrackingModule(t, tensorboard, 200, tensorboardEnv)
+		if len(res.Findings) == 0 {
+			t.Fatal("expected a tensorboard finding")
+		}
+		if v := trackingExtract(res, "tensorboard_version"); v != "2.16.2" {
+			t.Errorf("tensorboard_version=%q, want 2.16.2", v)
+		}
+		if v := trackingExtract(res, "tensorboard_data_location"); v != "/home/ml/runs/exp-2024" {
+			t.Errorf("tensorboard_data_location=%q, want /home/ml/runs/exp-2024", v)
+		}
+	})
+
+	t.Run("a body without data_location is not flagged as tensorboard", func(t *testing.T) {
+		body := `{"window_title":"","version":"2.16.2"}`
+		if res := runTrackingModule(t, tensorboard, 200, body); len(res.Findings) > 0 {
+			t.Errorf("a body without data_location should not match tensorboard, got %d findings", len(res.Findings))
+		}
+	})
+
+	t.Run("a body without window_title is not flagged as tensorboard", func(t *testing.T) {
+		body := `{"data_location":"/runs","version":"2.16.2"}`
+		if res := runTrackingModule(t, tensorboard, 200, body); len(res.Findings) > 0 {
+			t.Errorf("a body without window_title should not match tensorboard, got %d findings", len(res.Findings))
+		}
+	})
+
+	t.Run("a body without a version is not flagged as tensorboard", func(t *testing.T) {
+		body := `{"data_location":"/runs","window_title":"my board"}`
+		if res := runTrackingModule(t, tensorboard, 200, body); len(res.Findings) > 0 {
+			t.Errorf("a body without version should not match tensorboard, got %d findings", len(res.Findings))
+		}
+	})
+
+	t.Run("an aim project is flagged with its repo path", func(t *testing.T) {
+		res := runTrackingModule(t, aim, 200, aimProject)
+		if len(res.Findings) == 0 {
+			t.Fatal("expected an aim finding")
+		}
+		if v := trackingExtract(res, "aim_project_path"); v != "/home/ml/.aim" {
+			t.Errorf("aim_project_path=%q, want /home/ml/.aim", v)
+		}
+	})
+
+	t.Run("a body without telemetry_enabled is not flagged as aim", func(t *testing.T) {
+		body := `{"name":"x","path":"/y","warn_index":false,"warn_runs":false}`
+		if res := runTrackingModule(t, aim, 200, body); len(res.Findings) > 0 {
+			t.Errorf("a body without telemetry_enabled should not match aim, got %d findings", len(res.Findings))
+		}
+	})
+
+	t.Run("a body without warn_index is not flagged as aim", func(t *testing.T) {
+		body := `{"telemetry_enabled":0,"warn_runs":false,"name":"x"}`
+		if res := runTrackingModule(t, aim, 200, body); len(res.Findings) > 0 {
+			t.Errorf("a body without warn_index should not match aim, got %d findings", len(res.Findings))
+		}
+	})
+
+	t.Run("a body without warn_runs is not flagged as aim", func(t *testing.T) {
+		body := `{"telemetry_enabled":0,"warn_index":false,"name":"x"}`
+		if res := runTrackingModule(t, aim, 200, body); len(res.Findings) > 0 {
+			t.Errorf("a body without warn_runs should not match aim, got %d findings", len(res.Findings))
+		}
+	})
+
+	t.Run("a determined master is flagged with its version and cluster id", func(t *testing.T) {
+		res := runTrackingModule(t, determined, 200, determinedMaster)
+		if len(res.Findings) == 0 {
+			t.Fatal("expected a determined finding")
+		}
+		if v := trackingExtract(res, "determined_version"); v != "0.27.1" {
+			t.Errorf("determined_version=%q, want 0.27.1", v)
+		}
+		if v := trackingExtract(res, "determined_cluster_id"); v != "a1b2c3d4-e5f6-7890" {
+			t.Errorf("determined_cluster_id=%q, want a1b2c3d4-e5f6-7890", v)
+		}
+	})
+
+	t.Run("a cluster info without a master_id is not flagged as determined", func(t *testing.T) {
+		body := `{"cluster_id":"x","cluster_name":"y","version":"1.0"}`
+		if res := runTrackingModule(t, determined, 200, body); len(res.Findings) > 0 {
+			t.Errorf("a masterless cluster info should not match determined, got %d findings", len(res.Findings))
+		}
+	})
+
+	t.Run("a master without a cluster_id is not flagged as determined", func(t *testing.T) {
+		body := `{"master_id":"x","cluster_name":"y","version":"1.0"}`
+		if res := runTrackingModule(t, determined, 200, body); len(res.Findings) > 0 {
+			t.Errorf("a body without cluster_id should not match determined, got %d findings", len(res.Findings))
+		}
+	})
+
+	t.Run("a master without a cluster_name is not flagged as determined", func(t *testing.T) {
+		body := `{"master_id":"x","cluster_id":"y","version":"1.0"}`
+		if res := runTrackingModule(t, determined, 200, body); len(res.Findings) > 0 {
+			t.Errorf("a body without cluster_name should not match determined, got %d findings", len(res.Findings))
+		}
+	})
+
+	t.Run("a plain 200 body is not a leak", func(t *testing.T) {
+		for _, file := range []string{mlflow, tensorboard, aim, determined} {
+			if res := runTrackingModule(t, file, 200, "ok"); len(res.Findings) > 0 {
+				t.Errorf("%s: a plain 200 body should not match, got %d findings", file, len(res.Findings))
+			}
+		}
+	})
+
+	t.Run("a 404 is not a leak", func(t *testing.T) {
+		for _, file := range []string{mlflow, tensorboard, aim, determined} {
+			if res := runTrackingModule(t, file, 404, "not found"); len(res.Findings) > 0 {
+				t.Errorf("%s: a 404 should not match, got %d findings", file, len(res.Findings))
+			}
+		}
+	})
+}
diff --git a/modules/recon/aim-exposure.yaml b/modules/recon/aim-exposure.yaml
new file mode 100644
index 0000000..719ad44
--- /dev/null
+++ b/modules/recon/aim-exposure.yaml
@@ -0,0 +1,44 @@
+# Aim Experiment Tracker Exposure Detection Module
+
+id: aim-exposure
+info:
+  name: Aim Experiment Tracker Exposure
+  author: sif
+  severity: medium
+  description: Detects an exposed Aim experiment tracker; its unauthenticated project api discloses the tracking repo path and serves all logged metrics, params, images, and texts
+  tags: [aim, ai, ml, mlops, training, exposure, recon]
+
+type: http
+
+http:
+  method: GET
+  paths:
+    - "{{BaseURL}}/api/projects/"
+
+  matchers:
+    - type: status
+      status:
+        - 200
+
+    - type: word
+      part: body
+      words:
+        - "\"telemetry_enabled\""
+
+    - type: word
+      part: body
+      words:
+        - "\"warn_index\""
+
+    - type: word
+      part: body
+      words:
+        - "\"warn_runs\""
+
+  extractors:
+    - type: regex
+      name: aim_project_path
+      part: body
+      regex:
+        - '"path"\s*:\s*"([^"]+)"'
+      group: 1
diff --git a/modules/recon/determined-master-exposure.yaml b/modules/recon/determined-master-exposure.yaml
new file mode 100644
index 0000000..6871875
--- /dev/null
+++ b/modules/recon/determined-master-exposure.yaml
@@ -0,0 +1,51 @@
+# Determined AI Master Exposure Detection Module
+
+id: determined-master-exposure
+info:
+  name: Determined AI Master Exposure
+  author: sif
+  severity: medium
+  description: Detects an exposed Determined AI master over its unauthenticated info endpoint, disclosing the cluster id, version, and auth configuration; Determined ships a default admin account whose blank password permits job submission and code execution on the cluster
+  tags: [determined, ai, ml, mlops, training, exposure, recon]
+
+type: http
+
+http:
+  method: GET
+  paths:
+    - "{{BaseURL}}/api/v1/master"
+
+  matchers:
+    - type: status
+      status:
+        - 200
+
+    - type: word
+      part: body
+      words:
+        - "\"master_id\""
+
+    - type: word
+      part: body
+      words:
+        - "\"cluster_id\""
+
+    - type: word
+      part: body
+      words:
+        - "\"cluster_name\""
+
+  extractors:
+    - type: regex
+      name: determined_version
+      part: body
+      regex:
+        - '"version"\s*:\s*"([^"]+)"'
+      group: 1
+
+    - type: regex
+      name: determined_cluster_id
+      part: body
+      regex:
+        - '"cluster_id"\s*:\s*"([^"]+)"'
+      group: 1
diff --git a/modules/recon/mlflow-api-exposure.yaml b/modules/recon/mlflow-api-exposure.yaml
new file mode 100644
index 0000000..fd9a617
--- /dev/null
+++ b/modules/recon/mlflow-api-exposure.yaml
@@ -0,0 +1,44 @@
+# MLflow Tracking Server Exposure Detection Module
+
+id: mlflow-api-exposure
+info:
+  name: MLflow Tracking Server Exposure
+  author: sif
+  severity: high
+  description: Detects an MLflow tracking server reachable without auth, disclosing experiments and the artifact store over its rest api; exposed servers have historically allowed arbitrary file read through artifact paths
+  tags: [mlflow, ai, ml, mlops, exposure, recon]
+
+type: http
+
+http:
+  method: GET
+  paths:
+    - "{{BaseURL}}/api/2.0/mlflow/experiments/get-by-name?experiment_name=Default"
+
+  matchers:
+    - type: status
+      status:
+        - 200
+
+    - type: word
+      part: body
+      words:
+        - "\"artifact_location\""
+
+    - type: word
+      part: body
+      words:
+        - "\"lifecycle_stage\""
+
+    - type: word
+      part: body
+      words:
+        - "\"experiment_id\""
+
+  extractors:
+    - type: regex
+      name: mlflow_artifact_location
+      part: body
+      regex:
+        - '"artifact_location"\s*:\s*"([^"]+)"'
+      group: 1
diff --git a/modules/recon/tensorboard-exposure.yaml b/modules/recon/tensorboard-exposure.yaml
new file mode 100644
index 0000000..213851a
--- /dev/null
+++ b/modules/recon/tensorboard-exposure.yaml
@@ -0,0 +1,51 @@
+# TensorBoard Exposure Detection Module
+
+id: tensorboard-exposure
+info:
+  name: TensorBoard Exposure
+  author: sif
+  severity: medium
+  description: Detects an exposed TensorBoard instance; its unauthenticated data api discloses the training run source path and server version, and serves all logged scalars, graphs, images, and embeddings
+  tags: [tensorboard, ai, ml, mlops, training, exposure, recon]
+
+type: http
+
+http:
+  method: GET
+  paths:
+    - "{{BaseURL}}/data/environment"
+
+  matchers:
+    - type: status
+      status:
+        - 200
+
+    - type: word
+      part: body
+      words:
+        - "\"data_location\""
+
+    - type: word
+      part: body
+      words:
+        - "\"window_title\""
+
+    - type: word
+      part: body
+      words:
+        - "\"version\""
+
+  extractors:
+    - type: regex
+      name: tensorboard_version
+      part: body
+      regex:
+        - '"version"\s*:\s*"([^"]+)"'
+      group: 1
+
+    - type: regex
+      name: tensorboard_data_location
+      part: body
+      regex:
+        - '"data_location"\s*:\s*"([^"]+)"'
+      group: 1