diff --git a/src/frontends/onnx/frontend/src/op/cum_sum.cpp b/src/frontends/onnx/frontend/src/op/cum_sum.cpp
index 42160ab74cf..a3e1400a874 100644
--- a/src/frontends/onnx/frontend/src/op/cum_sum.cpp
+++ b/src/frontends/onnx/frontend/src/op/cum_sum.cpp
@@ -7,6 +7,7 @@
 #include <memory>
 
 #include "default_opset.hpp"
+#include "utils/reshape.hpp"
 
 namespace ngraph {
 namespace onnx_import {
@@ -20,7 +21,9 @@ OutputVector cum_sum(const Node& node) {
     Output<ngraph::Node> axis;
 
     if (inputs.size() > 1) {
-        axis = inputs.at(1);  // optional input, 0-D tensor
+        // optional input, 0-D or 1-D tensor
+        const auto& axis_shape = inputs.at(1).get_partial_shape();
+        axis = axis_shape.is_dynamic() ? inputs.at(1) : ngraph::onnx_import::reshape::interpret_as_scalar(inputs.at(1));
     } else {
         axis = default_opset::Constant::create(element::i64, Shape{}, {0});  // default
     }
diff --git a/src/frontends/onnx/tests/models/cum_sum_2d_axis_input_1d.prototxt b/src/frontends/onnx/tests/models/cum_sum_2d_axis_input_1d.prototxt
new file mode 100644
index 00000000000..26653491426
--- /dev/null
+++ b/src/frontends/onnx/tests/models/cum_sum_2d_axis_input_1d.prototxt
@@ -0,0 +1,69 @@
+ir_version: 5
+producer_name: "nGraph ONNX Importer"
+graph {
+  node {
+    output: "axis"
+    op_type: "Constant"
+    attribute {
+      name: "value"
+      t {
+        dims: 1
+        data_type: 7
+        int64_data: -1
+      }
+      type: TENSOR
+    }
+  }
+  node {
+    input: "x"
+    input: "axis"
+    output: "y"
+    op_type: "CumSum"
+    attribute {
+      name: "exclusive"
+      i: 0
+      type: INT
+    }
+    attribute {
+      name: "reverse"
+      i: 0
+      type: INT
+    }
+  }
+  name: "test_cum_sum"
+  input {
+    name: "x"
+    type {
+      tensor_type {
+        elem_type: 1
+        shape {
+          dim {
+            dim_value: 2
+          }
+          dim {
+            dim_value: 3
+          }
+        }
+      }
+    }
+  }
+  output {
+    name: "y"
+    type {
+      tensor_type {
+        elem_type: 1
+        shape {
+          dim {
+            dim_value: 2
+          }
+          dim {
+            dim_value: 3
+          }
+        }
+      }
+    }
+  }
+}
+opset_import {
+  version: 11
+}
diff --git a/src/frontends/onnx/tests/models/cum_sum_2d_dynamic_axis_input_1d.prototxt b/src/frontends/onnx/tests/models/cum_sum_2d_dynamic_axis_input_1d.prototxt
new file mode 100644
index 00000000000..df0f0e13e98
--- /dev/null
+++ b/src/frontends/onnx/tests/models/cum_sum_2d_dynamic_axis_input_1d.prototxt
@@ -0,0 +1,69 @@
+ir_version: 5
+producer_name: "nGraph ONNX Importer"
+graph {
+  node {
+    input: "x"
+    input: "axis"
+    output: "y"
+    op_type: "CumSum"
+    attribute {
+      name: "exclusive"
+      i: 0
+      type: INT
+    }
+    attribute {
+      name: "reverse"
+      i: 0
+      type: INT
+    }
+  }
+  name: "test_cum_sum"
+  input {
+    name: "x"
+    type {
+      tensor_type {
+        elem_type: 1
+        shape {
+          dim {
+            dim_value: 2
+          }
+          dim {
+            dim_value: 3
+          }
+        }
+      }
+    }
+  }
+  input {
+    name: "axis"
+    type {
+      tensor_type {
+        elem_type: 7
+        shape {
+          dim {
+            dim_value: 1
+		  }
+        }
+      }
+    }
+  }
+  output {
+    name: "y"
+    type {
+      tensor_type {
+        elem_type: 1
+        shape {
+          dim {
+            dim_value: 2
+          }
+          dim {
+            dim_value: 3
+          }
+        }
+      }
+    }
+  }
+}
+opset_import {
+  version: 11
+}
diff --git a/src/frontends/onnx/tests/onnx_import.in.cpp b/src/frontends/onnx/tests/onnx_import.in.cpp
index 4c3fbc19c5e..53f2dff087a 100644
--- a/src/frontends/onnx/tests/onnx_import.in.cpp
+++ b/src/frontends/onnx/tests/onnx_import.in.cpp
@@ -641,6 +641,29 @@ NGRAPH_TEST(${BACKEND_NAME}, onnx_model_cum_sum_2d_dynamic_axis_input) {
     test_case.run();
 }
 
+NGRAPH_TEST(${BACKEND_NAME}, onnx_model_cum_sum_2d_axis_input_1d) {
+    auto function = onnx_import::import_onnx_model(file_util::path_join(CommonTestUtils::getExecutableDirectory(),
+                                                                        SERIALIZED_ZOO,
+                                                                        "onnx/cum_sum_2d_axis_input_1d.onnx"));
+
+    auto test_case = test::TestCase(function, s_device);
+    test_case.add_input<float>({1.f, 2.f, 3.f, 4.f, 5.f, 6.f});
+    test_case.add_expected_output<float>(Shape{2, 3}, {1.f, 3.f, 6.f, 4.f, 9.f, 15.f});
+    test_case.run();
+}
+
+NGRAPH_TEST(${BACKEND_NAME}, onnx_model_cum_sum_2d_dynamic_axis_input_1d) {
+    auto function = onnx_import::import_onnx_model(file_util::path_join(CommonTestUtils::getExecutableDirectory(),
+                                                                        SERIALIZED_ZOO,
+                                                                        "onnx/cum_sum_2d_dynamic_axis_input_1d.onnx"));
+
+    auto test_case = test::TestCase(function, s_device);
+    test_case.add_input<float>({1.f, 2.f, 3.f, 4.f, 5.f, 6.f});
+    test_case.add_input<std::int64_t>({0});
+    test_case.add_expected_output<float>(Shape{2, 3}, {1.f, 2.f, 3.f, 5.f, 7.f, 9.f});
+    test_case.run();
+}
+
 NGRAPH_TEST(${BACKEND_NAME}, onnx_model_cum_sum_3d_exclusive_reverse) {
     auto function = onnx_import::import_onnx_model(file_util::path_join(CommonTestUtils::getExecutableDirectory(),
                                                                         SERIALIZED_ZOO,