CVE-2021-41196— Crash in `max_pool3d` when size argument is 0 or negative
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I. Basic Information for CVE-2021-41196
Vulnerability Information
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Vulnerability Title
Crash in `max_pool3d` when size argument is 0 or negative
Source: NVD (National Vulnerability Database)
Vulnerability Description
TensorFlow is an open source platform for machine learning. In affected versions the Keras pooling layers can trigger a segfault if the size of the pool is 0 or if a dimension is negative. This is due to the TensorFlow's implementation of pooling operations where the values in the sliding window are not checked to be strictly positive. 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
整数下溢(超界折返)
Source: NVD (National Vulnerability Database)
Vulnerability Title
Google TensorFlow 数字错误漏洞
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 存在数字错误漏洞，该漏洞源于 TensorFlow 实现了池化操作，其中滑动窗口中的值没有被严格检查为正数。
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-2021-41196
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|---|
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- https://github.com/tensorflow/tensorflow/issues/51936x_refsource_MISC
- https://nvd.nist.gov/vuln/detail/CVE-2021-41196
Same Patch Batch · tensorflow · 2021-11-05 · 34 CVEs total
| CVE-2021-41208 | 8.8 HIGH | Incomplete validation in boosted trees code |
| 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-2021-41214 | 7.8 HIGH | Reference binding to `nullptr` in `tf.ragged.cross` |
| CVE-2021-41219 | 7.8 HIGH | Undefined behavior via `nullptr` reference binding in sparse matrix multiplication |
| CVE-2021-41201 | 7.8 HIGH | Unitialized access in `EinsumHelper::ParseEquation` |
| CVE-2021-41203 | 7.8 HIGH | Missing validation during checkpoint loading |
| CVE-2021-41228 | 7.5 HIGH | Code injection in `saved_model_cli` |
| CVE-2021-41224 | 7.1 HIGH | `SparseFillEmptyRows` heap OOB read |
| CVE-2021-41223 | 7.1 HIGH | Heap OOB read in `FusedBatchNorm` kernels |
| CVE-2021-41226 | 7.1 HIGH | Heap OOB read in `SparseBinCount` |
| CVE-2021-41212 | 7.1 HIGH | Heap OOB read in `tf.ragged.cross` |
| CVE-2021-41211 | 7.1 HIGH | Heap OOB read in shape inference for `QuantizeV2` |
| 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-2021-41206 | 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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