TensorFlow vulnerable to null-dereference in `mlir::tfg::TFOp::nameAttr`
Impact
When mlir::tfg::TFOp::nameAttr receives null type list attributes, it crashes.
StatusOr<unsigned> GraphDefImporter::ArgNumType(const NamedAttrList &attrs,
const OpDef::ArgDef &arg_def,
SmallVectorImpl<Type> &types) {
// Check whether a type list attribute is specified.
if (!arg_def.type_list_attr().empty()) {
if (auto v = attrs.get(arg_def.type_list_attr()).dyn_cast<ArrayAttr>()) {
for (Attribute attr : v) {
if (auto dtype = attr.dyn_cast<TypeAttr>()) {
types.push_back(UnrankedTensorType::get(dtype.getValue()));
} else {
return InvalidArgument("Expected '", arg_def.type_list_attr(),
"' to be a list of types");
}
}
return v.size();
}
return NotFound("Type attr not found: ", arg_def.type_list_attr());
}
unsigned num = 1;
// Check whether a number attribute is specified.
if (!arg_def.number_attr().empty()) {
if (auto v = attrs.get(arg_def.number_attr()).dyn_cast<IntegerAttr>()) {
num = v.getValue().getZExtValue();
} else {
return NotFound("Type attr not found: ", arg_def.number_attr());
}
}
// Check for a type or type attribute.
Type dtype;
if (arg_def.type() != DataType::DT_INVALID) {
TF_RETURN_IF_ERROR(ConvertDataType(arg_def.type(), b_, &dtype));
} else if (arg_def.type_attr().empty()) {
return InvalidArgument("Arg '", arg_def.name(),
"' has invalid type and no type attribute");
} else {
if (auto v = attrs.get(arg_def.type_attr()).dyn_cast<TypeAttr>()) {
dtype = v.getValue();
} else {
return NotFound("Type attr not found: ", arg_def.type_attr());
}
}
types.append(num, UnrankedTensorType::get(dtype));
return num;
}Patches
We have patched the issue in GitHub commits 3a754740d5414e362512ee981eefba41561a63a6 and 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
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Software afectado
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| Plataforma | Paquete | Versiones vulnerables | Corregida en |
|---|---|---|---|
| Python (PyPI) | tensorflow | < 2.7.2, >= 2.8.0, < 2.8.1, >= 2.9.0, < 2.9.1 | 2.7.2, 2.8.1, 2.9.1 |
| Python (PyPI) | tensorflow-cpu | < 2.7.2, >= 2.8.0, < 2.8.1, >= 2.9.0, < 2.9.1 | 2.7.2, 2.8.1, 2.9.1 |
| Python (PyPI) | tensorflow-gpu | < 2.7.2, >= 2.8.0, < 2.8.1, >= 2.9.0, < 2.9.1 | 2.7.2, 2.8.1, 2.9.1 |
Referencias
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-7j3m-8g3c-9qqq
- https://nvd.nist.gov/vuln/detail/CVE-2022-36014
- https://github.com/tensorflow/tensorflow/commit/3a754740d5414e362512ee981eefba41561a63a6
- https://github.com/tensorflow/tensorflow/commit/a0f0b9a21c9270930457095092f558fbad4c03e5
- https://github.com/tensorflow/tensorflow
- https://github.com/tensorflow/tensorflow/blob/master/tensorflow/core/ir/importexport/graphdef_import.cc
- https://github.com/tensorflow/tensorflow/releases/tag/v2.10.0
- https://pypi.org/project/tensorflow
- https://github.com/advisories/GHSA-7j3m-8g3c-9qqq
- https://pypi.org/project/tensorflow-cpu
- https://pypi.org/project/tensorflow-gpu
- Vector CVSS
CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:N/A:H- Debilidad (CWE)
CWE-476- Plataforma
- Python (PyPI)
- Paquete
tensorflow, tensorflow-cpu, tensorflow-gpu- Publicada
- 16.09.2022
- Actualizado
- 11.10.2026 14:18
Fuentes y licencias
OSV / GitHub Advisory Database - PYSEC-2026-3129 - PyPA Advisory Database; CC BY 4.0
OSV / GitHub Advisory Database - PYSEC-2026-3292 - PyPA Advisory Database; CC BY 4.0
OSV / GitHub Advisory Database - GHSA-7j3m-8g3c-9qqq - CC BY 4.0
OSV / GitHub Advisory Database - PYSEC-2026-966 - PyPA Advisory Database; CC BY 4.0
Historial de vulnerabilidades: tensorflow-gpu
Todas las vulnerabilidades publicadas de este paquete (Python (PyPI)), de la más reciente a la más antigua. Muestra si es un fallo aislado o un paquete que hay que vigilar.
- Entradas en total
- 427
- Primera → última
- 04.2019 07.2024
- Sin corrección
- 0
- Explotada en ataques
- 0
Distribución por gravedad
- Crítica 6
- Alta 109
- Media 207
- Baja 105
Divulgaciones por año
- 2019: 7
- 2020: 35
- 2021: 200
- 2022: 166
- 2023: 18
- 2024: 1
- 2025: 0
- 2026: 0
-
TensorFlow vulnerable to null-dereference in `mlir::tfg::TFOp::nameAttr` esta entrada
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