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CVE-2022-36015— Integer overflow in math ops in TensorFlow

CVSS 5.9 · Medium EPSS 0.19% · P41
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I. Basic Information for CVE-2022-36015

Vulnerability Information
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Vulnerability Title
Integer overflow in math ops in TensorFlow
Source: NVD (National Vulnerability Database)
Vulnerability Description
TensorFlow is an open source platform for machine learning. When `RangeSize` receives values that do not fit into an `int64_t`, it crashes. We have patched the issue in GitHub commit 37e64539cd29fcfb814c4451152a60f5d107b0f0. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. There are no known workarounds for this issue.
Source: NVD (National Vulnerability Database)
CVSS Information
CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:N/A:H
Source: NVD (National Vulnerability Database)
Vulnerability Type
整数溢出或超界折返
Source: NVD (National Vulnerability Database)
Vulnerability Title
Google TensorFlow 输入验证错误漏洞
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 存在输入验证错误漏洞，该漏洞源于当 RangeSize 接收到不适合 int64_t 的值时，它会崩溃。该漏洞将在 2.10.0 版本， 2.9.1 版本， 2.8.1 版本， 2.7.2 版本中得到修复。
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

VendorProductAffected VersionsCPESubscribe
tensorflowtensorflow < 2.7.2 -

II. Public POCs for CVE-2022-36015

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III. Intelligence Information for CVE-2022-36015

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Same Patch Batch · tensorflow · 2022-09-16 · 59 CVEs total

CVE-2022-359387.0 HIGHOOB read in `Gather_nd` op in TensorFlow Lite Micro
CVE-2022-359397.0 HIGHOut of bounds write in `scatter_nd` op in TensorFlow Lite
CVE-2022-359377.0 HIGHOOB read in `Gather_nd` op in TensorFlow Lite
CVE-2022-359745.9 MEDIUMSegfault in `QuantizeDownAndShrinkRange` in TensorFlow
CVE-2022-359595.9 MEDIUM`CHECK` failures in `AvgPool3DGrad` in TensorFlow
CVE-2022-359415.9 MEDIUM`CHECK` failure in `AvgPoolOp` in Tensorflow
CVE-2022-359405.9 MEDIUMInt overflow in `RaggedRangeOp` in Tensoflow
CVE-2022-359525.9 MEDIUM`CHECK` failures in `UnbatchGradOp` in TensorFlow
CVE-2022-359705.9 MEDIUMSegfault in `QuantizedInstanceNorm` in TensorFlow
CVE-2022-359695.9 MEDIUM`CHECK` fail in `Conv2DBackpropInput` in TensorFlow
CVE-2022-359715.9 MEDIUM`CHECK` fail in `FakeQuantWithMinMaxVars` in TensorFlow
CVE-2022-359735.9 MEDIUMSegfault in `QuantizedMatMul` in TensorFlow
CVE-2022-359725.9 MEDIUMSegfault in `QuantizedBiasAdd` in TensorFlow
CVE-2022-359675.9 MEDIUMSegfault in `QuantizedAdd` in TensorFlow
CVE-2022-359795.9 MEDIUMSegfault in `QuantizedRelu` and `QuantizedRelu6`
CVE-2022-359815.9 MEDIUM`CHECK` fail in `FractionalMaxPoolGrad` in TensorFlow
CVE-2022-359825.9 MEDIUMSegfault in `SparseBincount` in TensorFlow
CVE-2022-359885.9 MEDIUM`CHECK` fail in `tf.linalg.matrix_rank` in TensorFlow
CVE-2022-359895.9 MEDIUM`CHECK` fail in `MaxPool` in TensorFlow
CVE-2022-359835.9 MEDIUM`CHECK` fail in `Save` and `SaveSlices` in TensorFlow

Showing top 20 of 59 CVEs. View all on vendor page &rarr; →

IV. Related Vulnerabilities

Same product: tensorflow
Same vendor: tensorflow
Same weakness: CWE-190

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