CVE-2021-37682— Google TensorFlow 代码问题漏洞
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I. CVE-2021-37682の基本情報
脆弱性情報
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脆弱性タイトル
Use of unitialized value in TensorFlow Lite
ソース: NVD (National Vulnerability Database)
脆弱性説明
TensorFlow is an end-to-end open source platform for machine learning. In affected versions all TFLite operations that use quantization can be made to use unitialized values. [For example](https://github.com/tensorflow/tensorflow/blob/460e000de3a83278fb00b61a16d161b1964f15f4/tensorflow/lite/kernels/depthwise_conv.cc#L198-L200). The issue stems from the fact that `quantization.params` is only valid if `quantization.type` is different that `kTfLiteNoQuantization`. However, these checks are missing in large parts of the code. We have patched the issue in GitHub commits 537bc7c723439b9194a358f64d871dd326c18887, 4a91f2069f7145aab6ba2d8cfe41be8a110c18a5 and 8933b8a21280696ab119b63263babdb54c298538. The fix will be included in TensorFlow 2.6.0. We will also cherrypick this commit on TensorFlow 2.5.1, TensorFlow 2.4.3, and TensorFlow 2.3.4, as these are also affected and still in supported range.
ソース: NVD (National Vulnerability Database)
CVSS情報
CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:L/A:L
ソース: NVD (National Vulnerability Database)
脆弱性タイプ
对未经初始化资源的使用
ソース: NVD (National Vulnerability Database)
脆弱性タイトル
Google TensorFlow 代码问题漏洞
ソース: CNNVD (China National Vulnerability Database)
脆弱性説明
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 存在代码问题漏洞，该漏洞源于产品使用量化的 TFLite 操作使用了未初始化的值。以下产品及版本收到影响：TensorFlow 2.5.1、TensorFlow 2.4.3 和 TensorFlow 2.3.4。
ソース: CNNVD (China National Vulnerability Database)
CVSS情報
N/A
ソース: CNNVD (China National Vulnerability Database)
脆弱性タイプ
N/A
ソース: CNNVD (China National Vulnerability Database)
影響を受ける製品
| ベンダー | プロダクト | 影響を受けるバージョン | CPE | 購読 |
|---|---|---|---|---|
| tensorflow | tensorflow | >= 2.5.0, < 2.5.1 | - |
II. CVE-2021-37682の公開POC
| # | POC説明 | ソースリンク | Shenlongリンク |
|---|
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Same Patch Batch · tensorflow · 2021-08-12 · 58 CVEs total
| CVE-2021-37678 | 9.3 CRITICAL | Arbitrary code execution due to YAML deserialization |
| CVE-2021-37639 | 8.4 HIGH | Null pointer dereference and heap OOB read in TensorFlow |
| CVE-2021-37689 | 7.8 HIGH | Null pointer dereference in TensorFlow Lite MLIR optimizations |
| CVE-2021-37665 | 7.8 HIGH | Incomplete validation in MKL requantization in TensorFlow |
| CVE-2021-37663 | 7.8 HIGH | Incomplete validation in `QuantizeV2` in TensorFlow |
| CVE-2021-37681 | 7.8 HIGH | Null pointer exception in TensorFlow Lite |
| CVE-2021-37648 | 7.8 HIGH | Incorrect validation of `SaveV2` inputs in TensorFlow |
| CVE-2021-37688 | 7.8 HIGH | Null pointer dereference in TensorFlow Lite |
| CVE-2021-37676 | 7.8 HIGH | Reference binding to nullptr in shape inference in TensorFlow |
| CVE-2021-37671 | 7.8 HIGH | Reference binding to nullptr in map operations in TensorFlow |
| CVE-2021-37666 | 7.8 HIGH | Reference binding to nullptr in `RaggedTensorToVariant` in TensorFlow |
| CVE-2021-37667 | 7.8 HIGH | Reference binding to nullptr in unicode encoding in TensorFlow |
| CVE-2021-37652 | 7.8 HIGH | Use after free in boosted trees creation in TensorFlow |
| CVE-2021-37650 | 7.8 HIGH | Segfault and heap buffer overflow in `{Experimental,}DatasetToTFRecord` in TensorFlow |
| CVE-2021-37637 | 7.7 HIGH | Null pointer dereference in `CompressElement` in TensorFlow |
| CVE-2021-37643 | 7.7 HIGH | Null pointer dereference in `MatrixDiagPartOp` in TensorFlow |
| CVE-2021-37647 | 7.7 HIGH | Null pointer dereference in `SparseTensorSliceDataset` in TensorFlow |
| CVE-2021-37638 | 7.7 HIGH | Null pointer dereference in `RaggedTensorToTensor` in TensorFlow |
| CVE-2021-37649 | 7.7 HIGH | Null pointer dereference in `UncompressElement` in TensorFlow |
| CVE-2021-37655 | 7.3 HIGH | Heap OOB in `ResourceScatterUpdate` in TensorFlow |
Showing 20 of 58 CVEs. View all on vendor page →
IV. 関連脆弱性
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