CVE-2022-29209— Type confusion leading to `CHECK`-failure based denial of service in TensorFlow
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TensorFlow编写断言宏时存在比较 size_t 时逻辑不正确。
Possible ATT&CK Techniques 1 AI
T1190 · Exploit Public-Facing Application
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I. Basic Information for CVE-2022-29209
Vulnerability Information
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Vulnerability Title
Type confusion leading to `CHECK`-failure based denial of service in TensorFlow
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 macros that TensorFlow uses for writing assertions (e.g., `CHECK_LT`, `CHECK_GT`, etc.) have an incorrect logic when comparing `size_t` and `int` values. Due to type conversion rules, several of the macros would trigger incorrectly. 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
使用不兼容类型访问资源(类型混淆)
Source: CVE Program / CVE List V5
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 2.9.0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TensorFlow编写断言宏时存在比较 size_t 时逻辑不正确。
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 | - |
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II. Public POCs for CVE-2022-29209
| # | POC Description | Source Link | Shenlong Link |
|---|
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Patches & Fixes for CVE-2022-29209 (2)
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https://github.com/tensorflow/tensorflow/pull/55730 x_refsource_MISC
Vendor Advisories for CVE-2022-29209 (1)
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https://github.com/tensorflow/tensorflow/security/advisories/GHSA-f4rr-5m7v-wxcw x_refsource_CONFIRM
Other References for CVE-2022-29209 (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
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https://github.com/tensorflow/tensorflow/issues/55530 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-2022-29211 | 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-2022-29204 | 5.5 MEDIUM | Missing validation causes denial of service in TensorFlow via `Conv3DBackpropFilterV2` |
| 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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V. Comments for CVE-2022-29209
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