CVE-2022-41884— Seg fault in `ndarray_tensor_bridge` due to zero and large inputs in Tensorflow
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I. Basic Information for CVE-2022-41884
Vulnerability Information
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Vulnerability Title
Seg fault in `ndarray_tensor_bridge` due to zero and large inputs in Tensorflow
Source: NVD (National Vulnerability Database)
Vulnerability Description
TensorFlow is an open source platform for machine learning. If a numpy array is created with a shape such that one element is zero and the others sum to a large number, an error will be raised. We have patched the issue in GitHub commit 2b56169c16e375c521a3bc8ea658811cc0793784. The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range.
Source: NVD (National Vulnerability Database)
CVSS Information
CVSS:3.1/AV:N/AC:H/PR:L/UI:R/S:U/C:N/I:N/A:H
Source: NVD (National Vulnerability Database)
Vulnerability Type
控制流实现总是不正确
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 2.11 版本，2.10.1 版本之前的 2.10.x 版本，2.9.3 版本之前的 2.9.x 版本，2.8.4 版本之前的 2.8.x 版本存在安全漏洞，该漏洞源于如果创建的 numpy 数组的形状为一个元素为零而其他元素之和为一个大数，则会引发错误。
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 | >= 2.10.0, < 2.10.1 | - |
II. Public POCs for CVE-2022-41884
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Same Patch Batch · tensorflow · 2022-11-18 · 23 CVEs total
| CVE-2022-41900 | 7.1 HIGH | FractionalMaxPool and FractionalAVGPool heap out-of-bounds acess in Tensorflow |
| CVE-2022-41894 | 7.1 HIGH | Buffer overflow in `CONV_3D_TRANSPOSE` on TFLite |
| CVE-2022-41883 | 6.8 MEDIUM | Out of bounds segmentation fault due to unequal op inputs in Tensorflow |
| CVE-2022-41880 | 6.8 MEDIUM | ThreadUnsafeUnigramCandidateSampler Heap out of bounds in Tensorflow |
| CVE-2022-41889 | 5.5 MEDIUM | Segfault via invalid attributes in `pywrap_tfe_src.cc` in Tensorflow |
| CVE-2022-41911 | 4.8 MEDIUM | Invalid char to bool conversion when printing a tensor in Tensorflow |
| CVE-2022-41909 | 4.8 MEDIUM | Segfault in `CompositeTensorVariantToComponents` in Tensorflow |
| CVE-2022-41908 | 4.8 MEDIUM | `CHECK` fail via inputs in `PyFunc` in Tensorflow |
| CVE-2022-41907 | 4.8 MEDIUM | Overflow in `ResizeNearestNeighborGrad` in Tensorflow |
| CVE-2022-41901 | 4.8 MEDIUM | `CHECK_EQ` fail via input in `SparseMatrixNNZ` in Tensorflow |
| CVE-2022-41899 | 4.8 MEDIUM | `CHECK` fail via inputs in `SdcaOptimizer` in Tensorflow |
| CVE-2022-41898 | 4.8 MEDIUM | `CHECK` fail via inputs in `SparseFillEmptyRowsGrad` in Tensorflow |
| CVE-2022-41897 | 4.8 MEDIUM | `FractionalMaxPoolGrad` Heap out of bounds read in Tensorflow |
| CVE-2022-41896 | 4.8 MEDIUM | `tf.raw_ops.Mfcc` crashes in Tensorflow |
| CVE-2022-41895 | 4.8 MEDIUM | `MirrorPadGrad` heap out of bounds read in Tensorflow |
| CVE-2022-41893 | 4.8 MEDIUM | `CHECK_EQ` fail in `tf.raw_ops.TensorListResize` in Tensorflow |
| CVE-2022-41891 | 4.8 MEDIUM | Segfault in `tf.raw_ops.TensorListConcat` in Tensorflow |
| CVE-2022-41890 | 4.8 MEDIUM | `CHECK` fail in `BCast` overflow in Tensorflow |
| CVE-2022-41888 | 4.8 MEDIUM | Unckecked rank size in `tf.image.generate_bounding_box_proposals` in Tensorflow |
| CVE-2022-41887 | 4.8 MEDIUM | Overflow in `tf.keras.losses.poisson` in Tensorflow |
Showing top 20 of 23 CVEs. View all on vendor page → →
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