CVE-2022-29216— Code injection in `saved_model_cli` 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。 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之前版本存在代码注入漏洞，该漏洞源于saved_model_cli工具存在代码注入问题。
Possible ATT&CK Techniques 1 AI
T1059 · Command and Scripting Interpreter
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I. Basic Information for CVE-2022-29216
Vulnerability Information
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Vulnerability Title
Code injection in `saved_model_cli` 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, TensorFlow's `saved_model_cli` tool is vulnerable to a code injection. This can be used to open a reverse shell. This code path was maintained for compatibility reasons as the maintainers had several test cases where numpy expressions were used as arguments. However, given that the tool is always run manually, the impact of this is still not severe. The maintainers have now removed the `safe=False` argument, so all parsing is done without calling `eval`. The patch is available in versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4.
Source: CVE Program / CVE List V5
CVSS Information
CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
Source: CVE Program / CVE List V5
Vulnerability Type
对生成代码的控制不恰当(代码注入)
Source: CVE Program / CVE List V5
Vulnerability Title
Google TensorFlow代码注入漏洞
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。 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之前版本存在代码注入漏洞，该漏洞源于saved_model_cli工具存在代码注入问题。
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-2022-29216
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|---|
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Patches & Fixes for CVE-2022-29216 (2)
Vendor Advisories for CVE-2022-29216 (1)
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https://github.com/tensorflow/tensorflow/security/advisories/GHSA-75c9-jrh4-79mc x_refsource_CONFIRM
Other References for CVE-2022-29216 (5)
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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-2022-29208 | 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-2022-29204 | 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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