CVE-2022-41887— Overflow in `tf.keras.losses.poisson` in Tensorflow
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I. Basic Information for CVE-2022-41887
Vulnerability Information
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Vulnerability Title
Overflow in `tf.keras.losses.poisson` in Tensorflow
Source: NVD (National Vulnerability Database)
Vulnerability Description
TensorFlow is an open source platform for machine learning. `tf.keras.losses.poisson` receives a `y_pred` and `y_true` that are passed through `functor::mul` in `BinaryOp`. If the resulting dimensions overflow an `int32`, TensorFlow will crash due to a size mismatch during broadcast assignment. We have patched the issue in GitHub commit c5b30379ba87cbe774b08ac50c1f6d36df4ebb7c. The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1 and 2.9.3, as these are also affected and still in supported range. However, we will not cherrypick this commit into TensorFlow 2.8.x, as it depends on Eigen behavior that changed between 2.8 and 2.9.
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
缓冲区大小计算不正确
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 版本存在安全漏洞，该漏洞源于 `tf.keras.losses.poisson` 接收通过 `BinaryOp` 中的 `functor::mul` 传递的 `y_pred` 和 `y_true`。如果生成的维度溢出 `int32`，TensorFlow 将因广播分配期间的
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-2022-41887
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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-2022-41886 | 4.8 MEDIUM | Overflow in `ImageProjectiveTransformV2` in Tensorflow |
Showing top 20 of 23 CVEs. View all on vendor page → →
IV. Related Vulnerabilities
Same product: tensorflow
Same vendor: tensorflow
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TensorFlow HDF5 Library Uncontrolled Search Path Element Loc - CVE-2023-33976
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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`
Same weakness: CWE-131
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