diff --git a/mlir/lib/Dialect/Tensor/Transforms/BufferizableOpInterfaceImpl.cpp b/mlir/lib/Dialect/Tensor/Transforms/BufferizableOpInterfaceImpl.cpp
--- a/mlir/lib/Dialect/Tensor/Transforms/BufferizableOpInterfaceImpl.cpp
+++ b/mlir/lib/Dialect/Tensor/Transforms/BufferizableOpInterfaceImpl.cpp
@@ -94,6 +94,11 @@
         bufferization::getBufferType(castOp.getResult(), options);
     if (failed(resultMemRefType))
       return failure();
+    if (isa<UnrankedMemRefType>(resultBuffer->getType()) &&
+        isa<UnrankedMemRefType>(*resultMemRefType)) {
+      op->emitError("cannot bufferize unranked tensor cast");
+      return failure();
+    }
 
     // Replace the op with a memref.cast.
     assert(memref::CastOp::areCastCompatible(resultBuffer->getType(),
diff --git a/mlir/test/Dialect/Bufferization/Transforms/one-short-bufferize-invalid.mlir b/mlir/test/Dialect/Bufferization/Transforms/one-short-bufferize-invalid.mlir
new file mode 100644
--- /dev/null
+++ b/mlir/test/Dialect/Bufferization/Transforms/one-short-bufferize-invalid.mlir
@@ -0,0 +1,8 @@
+// RUN: mlir-opt %s -one-shot-bufferize="allow-unknown-ops" -split-input-file -verify-diagnostics
+
+func.func @from_unranked_to_unranked(%arg0: tensor<*xi32>) {
+  // expected-error @+2 {{cannot bufferize unranked tensor cast}}
+  // expected-error @+1 {{failed to bufferize op}}
+  %0 = tensor.cast %arg0 : tensor<*xi32> to tensor<*xi32>
+  return
+}
\ No newline at end of file