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CVE-2021-37648— Google TensorFlow 代码问题漏洞

CVSS 7.8 · High EPSS 0.03% · P9
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I. CVE-2021-37648の基本情報

脆弱性情報

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高度な大規模言語モデル技術を使用していますが、出力には不正確または古い情報が含まれる可能性があります。Shenlongはデータの正確性を確保するよう努めていますが、実際の状況に基づいて検証・判断してください。

脆弱性タイトル
Incorrect validation of `SaveV2` inputs 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 code for `tf.raw_ops.SaveV2` does not properly validate the inputs and an attacker can trigger a null pointer dereference. The [implementation](https://github.com/tensorflow/tensorflow/blob/8d72537c6abf5a44103b57b9c2e22c14f5f49698/tensorflow/core/kernels/save_restore_v2_ops.cc) uses `ValidateInputs` to check that the input arguments are valid. This validation would have caught the illegal state represented by the reproducer above. However, the validation uses `OP_REQUIRES` which translates to setting the `Status` object of the current `OpKernelContext` to an error status, followed by an empty `return` statement which just terminates the execution of the function it is present in. However, this does not mean that the kernel execution is finalized: instead, execution continues from the next line in `Compute` that follows the call to `ValidateInputs`. This is equivalent to lacking the validation. We have patched the issue in GitHub commit 9728c60e136912a12d99ca56e106b7cce7af5986. 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:H/I:H/A:H
ソース: NVD (National Vulnerability Database)
脆弱性タイプ
空指针解引用
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 2.5.1,2.4.3和2.3.4存在代码问题漏洞,攻击者可以利用该漏洞导致TensorFlow异常终止。
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
tensorflowtensorflow >= 2.5.0, < 2.5.1 -

II. CVE-2021-37648の公開POC

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III. CVE-2021-37648のインテリジェンス情報

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Same Patch Batch · tensorflow · 2021-08-12 · 58 CVEs total

CVE-2021-376789.3 CRITICALArbitrary code execution due to YAML deserialization
CVE-2021-376398.4 HIGHNull pointer dereference and heap OOB read in TensorFlow
CVE-2021-376817.8 HIGHNull pointer exception in TensorFlow Lite
CVE-2021-376657.8 HIGHIncomplete validation in MKL requantization in TensorFlow
CVE-2021-376637.8 HIGHIncomplete validation in `QuantizeV2` in TensorFlow
CVE-2021-376677.8 HIGHReference binding to nullptr in unicode encoding in TensorFlow
CVE-2021-376897.8 HIGHNull pointer dereference in TensorFlow Lite MLIR optimizations
CVE-2021-376887.8 HIGHNull pointer dereference in TensorFlow Lite
CVE-2021-376767.8 HIGHReference binding to nullptr in shape inference in TensorFlow
CVE-2021-376717.8 HIGHReference binding to nullptr in map operations in TensorFlow
CVE-2021-376667.8 HIGHReference binding to nullptr in `RaggedTensorToVariant` in TensorFlow
CVE-2021-376527.8 HIGHUse after free in boosted trees creation in TensorFlow
CVE-2021-376507.8 HIGHSegfault and heap buffer overflow in `{Experimental,}DatasetToTFRecord` in TensorFlow
CVE-2021-376437.7 HIGHNull pointer dereference in `MatrixDiagPartOp` in TensorFlow
CVE-2021-376387.7 HIGHNull pointer dereference in `RaggedTensorToTensor` in TensorFlow
CVE-2021-376477.7 HIGHNull pointer dereference in `SparseTensorSliceDataset` in TensorFlow
CVE-2021-376377.7 HIGHNull pointer dereference in `CompressElement` in TensorFlow
CVE-2021-376497.7 HIGHNull pointer dereference in `UncompressElement` in TensorFlow
CVE-2021-376647.3 HIGHHeap OOB in boosted trees in TensorFlow
CVE-2021-376597.3 HIGHOut of bounds read via null pointer dereference in TensorFlow

Showing 20 of 58 CVEs. View all on vendor page →

IV. 関連脆弱性

V. CVE-2021-37648へのコメント

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