CVE-2021-41225— A use of uninitialized value vulnerability in Tensorflow
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I. Basic Information for CVE-2021-41225
Vulnerability Information
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Vulnerability Title
A use of uninitialized value vulnerability in Tensorflow
Source: NVD (National Vulnerability Database)
Vulnerability Description
TensorFlow is an open source platform for machine learning. In affected versions TensorFlow's Grappler optimizer has a use of unitialized variable. If the `train_nodes` vector (obtained from the saved model that gets optimized) does not contain a `Dequeue` node, then `dequeue_node` is left unitialized. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range.
Source: NVD (National Vulnerability Database)
CVSS Information
CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H
Source: NVD (National Vulnerability Database)
Vulnerability Type
对未经初始化资源的使用
Source: NVD (National Vulnerability Database)
Vulnerability Title
Google TensorFlow 安全漏洞
Source: CNNVD (China National Vulnerability Database)
Vulnerability Description
Google TensorFlow是美国谷歌（Google）公司的一套用于机器学习的端到端开源平台。 Google TensorFlow 存在安全漏洞，该漏洞源于 Grappler 优化器使用了未初始化的变量。 如果 train_nodes 向量（从保存的优化模型中获得）不包含 Dequeue 节点，那么 dequeue_node 将被单元化。
Source: CNNVD (China National Vulnerability Database)
CVSS Information
N/A
Source: CNNVD (China National Vulnerability Database)
Vulnerability Type
N/A
Source: CNNVD (China National Vulnerability Database)
Affected Products
| Vendor | Product | Affected Versions | CPE | Subscribe |
|---|---|---|---|---|
| tensorflow | tensorflow | >= 2.6.0, < 2.6.1 | - |
II. Public POCs for CVE-2021-41225
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|---|
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Same Patch Batch · tensorflow · 2021-11-05 · 34 CVEs total
| CVE-2021-41208 | 8.8 HIGH | Incomplete validation in boosted trees code |
| CVE-2021-41219 | 7.8 HIGH | Undefined behavior via `nullptr` reference binding in sparse matrix multiplication |
| CVE-2021-41220 | 7.8 HIGH | Use after free in `CollectiveReduceV2` |
| CVE-2021-41221 | 7.8 HIGH | Access to invalid memory during shape inference in `Cudnn*` ops |
| CVE-2021-41203 | 7.8 HIGH | Missing validation during checkpoint loading |
| CVE-2021-41201 | 7.8 HIGH | Unitialized access in `EinsumHelper::ParseEquation` |
| CVE-2021-41214 | 7.8 HIGH | Reference binding to `nullptr` in `tf.ragged.cross` |
| CVE-2021-41228 | 7.5 HIGH | Code injection in `saved_model_cli` |
| CVE-2021-41212 | 7.1 HIGH | Heap OOB read in `tf.ragged.cross` |
| CVE-2021-41205 | 7.1 HIGH | Heap OOB read in all `tf.raw_ops.QuantizeAndDequantizeV*` ops |
| CVE-2021-41210 | 7.1 HIGH | Heap OOB read in `tf.raw_ops.SparseCountSparseOutput` |
| CVE-2021-41211 | 7.1 HIGH | Heap OOB read in shape inference for `QuantizeV2` |
| CVE-2021-41226 | 7.1 HIGH | Heap OOB read in `SparseBinCount` |
| CVE-2021-41223 | 7.1 HIGH | Heap OOB read in `FusedBatchNorm` kernels |
| CVE-2021-41224 | 7.1 HIGH | `SparseFillEmptyRows` heap OOB read |
| CVE-2021-41206 | 7.0 HIGH | Incomplete validation of shapes in multiple TF ops |
| CVE-2021-41227 | 6.6 MEDIUM | Arbitrary memory read in `ImmutableConst` |
| CVE-2021-41200 | 5.5 MEDIUM | Incomplete validation in `tf.summary.create_file_writer` |
| CVE-2021-41197 | 5.5 MEDIUM | Crashes due to overflow and `CHECK`-fail in ops with large tensor shapes |
| CVE-2021-41198 | 5.5 MEDIUM | Overflow/crash in `tf.tile` when tiling tensor is large |
Showing top 20 of 34 CVEs. View all on vendor page → →
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