CVE-2022-29204— Missing validation causes denial of service in TensorFlow via `Conv3DBackpropFilterV2`
Quick assessment
Affected
tensorflow tensorflow
Exploitation
No confirmed in-the-wild exploitation; assess based on exposure
Recommended action
Check the vendor advisory and references for a fixed version. If immediate upgrade is impossible, restrict exposure and increase monitoring.
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 2.9.0之前版本、2.8.1之前版本、2.7.2之前版本和2.6.4之前版本存在安全漏洞，该漏洞源于tf.raw_ops.UnsortedSegmentJoin 对于输入的参数存在不完全验证。攻击者利用该漏洞可以触发断言失败实现拒绝服务攻击。
Possible ATT&CK Techniques 1 AI
T1499 · Endpoint Denial of Service
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I. Basic Information for CVE-2022-29204
Vulnerability Information
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Vulnerability Title
Missing validation causes denial of service in TensorFlow via `Conv3DBackpropFilterV2`
Source: CVE Program / CVE List V5
Vulnerability Description
TensorFlow is an open source platform for machine learning. Prior to versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4, the implementation of `tf.raw_ops.UnsortedSegmentJoin` does not fully validate the input arguments. This results in a `CHECK`-failure which can be used to trigger a denial of service attack. The code assumes `num_segments` is a positive scalar but there is no validation. Since this value is used to allocate the output tensor, a negative value would result in a `CHECK`-failure (assertion failure), as per TFSA-2021-198. Versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4 contain a patch for this issue.
Source: CVE Program / CVE List V5
CVSS Information
CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H
Source: CVE Program / CVE List V5
Vulnerability Type
整数下溢(超界折返)
Source: CVE Program / CVE List V5
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 2.9.0之前版本、2.8.1之前版本、2.7.2之前版本和2.6.4之前版本存在安全漏洞，该漏洞源于tf.raw_ops.UnsortedSegmentJoin 对于输入的参数存在不完全验证。攻击者利用该漏洞可以触发断言失败实现拒绝服务攻击。
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 | < 2.6.4 | - |
|
II. Public POCs for CVE-2022-29204
| # | POC Description | Source Link | Shenlong Link |
|---|
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Patches & Fixes for CVE-2022-29204 (1)
Vendor Advisories for CVE-2022-29204 (1)
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https://github.com/tensorflow/tensorflow/security/advisories/GHSA-hx9q-2mx4-m4pg x_refsource_CONFIRM
Other References for CVE-2022-29204 (6)
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https://github.com/tensorflow/tensorflow/releases/tag/v2.7.2 x_refsource_MISC
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https://github.com/tensorflow/tensorflow/releases/tag/v2.8.1 x_refsource_MISC
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https://github.com/tensorflow/tensorflow/releases/tag/v2.6.4 x_refsource_MISC
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https://github.com/tensorflow/tensorflow/releases/tag/v2.9.0 x_refsource_MISC
Same Patch Batch · tensorflow · 2022-05-20 · 24 CVEs total
| CVE-2022-29216 | 7.8 HIGH | Code injection in `saved_model_cli` in TensorFlow |
| CVE-2022-29208 | 7.1 HIGH | Segfault and Out-of-bounds Write write due to incomplete validation in TensorFlow |
| CVE-2022-29206 | 5.5 MEDIUM | Missing validation results in undefined behavior in `SparseTensorDenseAdd` in TensorFlow |
| CVE-2022-29213 | 5.5 MEDIUM | Incomplete validation in signal ops leads to crashes in TensorFlow |
| CVE-2022-29210 | 5.5 MEDIUM | Heap buffer overflow due to incorrect hash function in TensorFlow |
| CVE-2022-29209 | 5.5 MEDIUM | Type confusion leading to `CHECK`-failure based denial of service in TensorFlow |
| CVE-2022-29211 | 5.5 MEDIUM | Segfault in TensorFlow if `tf.histogram_fixed_width` is called with NaN values |
| CVE-2022-29212 | 5.5 MEDIUM | Core dump when loading TFLite models with quantization in TensorFlow |
| CVE-2022-29201 | 5.5 MEDIUM | Missing validation in `QuantizedConv2D` results in undefined behavior in TensorFlow |
| CVE-2022-29202 | 5.5 MEDIUM | Denial of service in TensorFlow due to lack of validation in `tf.ragged.constant` |
| CVE-2022-29203 | 5.5 MEDIUM | Integer overflow in `SpaceToBatchND` in TensorFlow |
| CVE-2022-29205 | 5.5 MEDIUM | Segfault due to missing support for quantized types in TensorFlow |
| CVE-2022-29192 | 5.5 MEDIUM | Missing validation crashes `QuantizeAndDequantizeV4Grad` in TensorFlow |
| CVE-2022-29207 | 5.5 MEDIUM | Undefined behavior when users supply invalid resource handles in TensorFlow |
| CVE-2022-29195 | 5.5 MEDIUM | Missing validation causes denial of service in TensorFlow via `StagePeek` |
| CVE-2022-29197 | 5.5 MEDIUM | Missing validation causes denial of service in TensorFlow via `UnsortedSegmentJoin` |
| CVE-2022-29196 | 5.5 MEDIUM | Missing validation causes denial of service in TensorFlow via `Conv3DBackpropFilterV2` |
| CVE-2022-29198 | 5.5 MEDIUM | Missing validation causes denial of service in TensorFlow via `SparseTensorToCSRSparseMatr |
| CVE-2022-29199 | 5.5 MEDIUM | Missing validation causes denial of service in TensorFlow via `LoadAndRemapMatrix` |
| CVE-2022-29200 | 5.5 MEDIUM | Missing validation causes denial of service in TensorFlow via `LSTMBlockCell` |
Showing top 20 of 24 CVEs. View all on vendor page → →
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