diff --git a/packages/components/src/pythonCodeValidator.ts b/packages/components/src/pythonCodeValidator.ts
index 6cd77aea5c1..4c93959bb93 100644
--- a/packages/components/src/pythonCodeValidator.ts
+++ b/packages/components/src/pythonCodeValidator.ts
@@ -68,6 +68,8 @@ const FORBIDDEN_PATTERNS: Array<{ pattern: RegExp; reason: string }> = [
     { pattern: /\bdir\s*\(/g, reason: 'dir()' },
     { pattern: /\b__dict__\b/g, reason: '__dict__ (attribute reflection)' },
     { pattern: /\b__module__\b/g, reason: '__module__ (module reflection)' },
+    { pattern: /\b__getattribute__\b/g, reason: '__getattribute__ (attribute access bypass)' },
+    { pattern: /\b__getattr__\b/g, reason: '__getattr__ (attribute access bypass)' },
     // Unsafe deserialization — read_pickle() executes arbitrary Python objects
     { pattern: /\bread_pickle\b/g, reason: 'read_pickle (unsafe deserialization / RCE)' },
     { pattern: /\bpickle\b/g, reason: 'pickle module (unsafe deserialization)' },
diff --git a/tests/invariant_pythonCodeValidator.test.ts b/tests/invariant_pythonCodeValidator.test.ts
new file mode 100644
index 00000000000..2b93e5ec3d7
--- /dev/null
+++ b/tests/invariant_pythonCodeValidator.test.ts
@@ -0,0 +1,21 @@
+import { validatePythonCodeForDataFrame } from "../../../packages/components/src/pythonCodeValidator";
+
+describe("Python code validator blocks all known RCE bypass patterns", () => {
+  const payloads: Array<[string, string, boolean]> = [
+    // Exact exploit: chained attribute access to reach os.system
+    ["chained attribute os.system via pd.io", "import pandas as pd\nresult = pd.io.common.os.system('id')", false],
+    // Nested function hiding import
+    ["nested def hiding __import__", "def outer():\n  def inner():\n    __import__('os').system('id')\n  inner()\nouter()", false],
+    // eval/exec wrapper bypass
+    ["eval wrapping exec", "eval(\"exec('import os; os.system(\\\"id\\\")')\")", false],
+    // compile() abuse
+    ["compile() abuse", "exec(compile('import os\\nos.system(\"id\")', '<string>', 'exec'))", false],
+    // Valid safe input — must be accepted
+    ["valid dataframe operation", "df = df[df['value'] > 0]\nresult = df.groupby('category').sum()", true],
+  ];
+
+  test.each(payloads)("%s", (_label, code, shouldBeValid) => {
+    const result = validatePythonCodeForDataFrame(code);
+    expect(result.valid).toBe(shouldBeValid);
+  });
+});