CVE-2021-37677— Google TensorFlow 输入验证错误漏洞
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I. CVE-2021-37677の基本情報
脆弱性情報
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脆弱性タイトル
Missing validation in shape inference for `Dequantize` in TensorFlow
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 the shape inference code for `tf.raw_ops.Dequantize` has a vulnerability that could trigger a denial of service via a segfault if an attacker provides invalid arguments. The shape inference [implementation](https://github.com/tensorflow/tensorflow/blob/460e000de3a83278fb00b61a16d161b1964f15f4/tensorflow/core/ops/array_ops.cc#L2999-L3014) uses `axis` to select between two different values for `minmax_rank` which is then used to retrieve tensor dimensions. However, code assumes that `axis` can be either `-1` or a value greater than `-1`, with no validation for the other values. We have patched the issue in GitHub commit da857cfa0fde8f79ad0afdbc94e88b5d4bbec764. 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:N/A:H
ソース: NVD (National Vulnerability Database)
脆弱性タイプ
输入验证不恰当
ソース: NVD (National Vulnerability Database)
脆弱性タイトル
Google TensorFlow 输入验证错误漏洞
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存在输入验证错误漏洞，该漏洞源于产品的 tf.raw_ops.Dequantize 未对输入的参数做有效验证，攻击者可通过该漏洞导致拒绝服务。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-2021-37677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-2021-37643 | 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-2021-37637 | 7.7 HIGH | Null pointer dereference in `CompressElement` in TensorFlow |
| CVE-2021-37664 | 7.3 HIGH | Heap OOB in boosted trees in TensorFlow |
Showing 20 of 58 CVEs. View all on vendor page →
IV. 関連脆弱性
同じベンダー: tensorflow
- CVE-2026-2492
TensorFlow HDF5 Library Uncontrolled Search Path Element Loc - CVE-2023-33976
TensorFlow segfault in array_ops.upper_bound - CVE-2024-3660
Arbitrary code injection vulnerability in Keras framework < - CVE-2023-25661
Denial of Service in TensorFlow - CVE-2023-25660
TensorFlow vulnerable to seg fault in `tf.raw_ops.Print`
V. CVE-2021-37677へのコメント
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