TensorFlow vulnerable to null-dereference in `mlir::tfg::GraphDefImporter::ConvertNodeDef`

GHSA-828c-5j5q-vrjq · BIT-tensorflow-2022-36013 · CVE-2022-36013 · PYSEC-2026-3132 · PYSEC-2026-3295 · PYSEC-2026-968 · 갱신 2026. 7. 14.

생태계	패키지	수정 버전
PyPI	tensorflow	2.7.22.8.12.9.1
PyPI	tensorflow-cpu	2.7.22.8.12.9.1
PyPI	tensorflow-gpu	2.7.22.8.12.9.1

Impact

When mlir::tfg::GraphDefImporter::ConvertNodeDef tries to convert NodeDefs without an op name, it crashes.

Status GraphDefImporter::ConvertNodeDef(OpBuilder &builder, ConversionState &s,
                                        const NodeDef &node) {
  VLOG(4) << "Importing: " << node.name();
  OperationState state(ConvertLocation(node), absl::StrCat("tfg.", node.op()));

  // The GraphImporter does light shape inference, but here we will defer all of
  // that to the shape inference pass.
  const OpDef *op_def;
  const OpRegistrationData *op_reg_data = nullptr;
  if ((op_reg_data = registry_.LookUp(node.op()))) {
    op_def = &op_reg_data->op_def;
  } else {
    auto it = function_op_defs_.find(node.op());
    if (it == function_op_defs_.end())
      return InvalidArgument("Unable to find OpDef for ", node.op());
    op_def = it->second;
  }

node.op().empty() cannot be empty.

Patches

We have patched the issue in GitHub commit a0f0b9a21c9270930457095092f558fbad4c03e5.

The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range.

For more information

Please consult our security guide for more information regarding the security model and how to contact us with issues and questions.

TensorFlow vulnerable to null-dereference in `mlir::tfg::GraphDefImporter::ConvertNodeDef`

TensorFlow vulnerable to null-dereference in `mlir::tfg::GraphDefImporter::ConvertNodeDef`

영향 받는 패키지

원문

Impact

Patches

For more information

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