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CVE-2022-29210— Heap buffer overflow due to incorrect hash function 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 2.8.0版本存在安全漏洞，该漏洞源于TensorKey散列函数使用了非常差的常量散列函数AllocatedBytes()来实现总估计。

CVSS 5.5 · Medium EPSS 0.23% · P13

Possible ATT&CK Techniques 1 AI

T1203 · Exploitation for Client Execution
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I. Basic Information for CVE-2022-29210

Vulnerability Information
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Vulnerability Title
Heap buffer overflow due to incorrect hash function in TensorFlow
Source: CVE Program / CVE List V5
Vulnerability Description
TensorFlow is an open source platform for machine learning. In version 2.8.0, the `TensorKey` hash function used total estimated `AllocatedBytes()`, which (a) is an estimate per tensor, and (b) is a very poor hash function for constants (e.g. `int32_t`). It also tried to access individual tensor bytes through `tensor.data()` of size `AllocatedBytes()`. This led to ASAN failures because the `AllocatedBytes()` is an estimate of total bytes allocated by a tensor, including any pointed-to constructs (e.g. strings), and does not refer to contiguous bytes in the `.data()` buffer. The discoverers could not use this byte vector anyway because types such as `tstring` include pointers, whereas they needed to hash the string values themselves. This issue is patched in Tensorflow versions 2.9.0 and 2.8.1.
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
未进行输入大小检查的缓冲区拷贝(传统缓冲区溢出)
Source: CVE Program / CVE List V5
Vulnerability Title
Google TensorFlow 缓冲区错误漏洞
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 2.8.0版本存在安全漏洞，该漏洞源于TensorKey散列函数使用了非常差的常量散列函数AllocatedBytes()来实现总估计。
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 == 2.8.0 -

II. Public POCs for CVE-2022-29210

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III. Intelligence Information for CVE-2022-29210

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Patches & Fixes for CVE-2022-29210 (1)

Vendor Advisories for CVE-2022-29210 (1)

Other References for CVE-2022-29210 (3)

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-2022-29209 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 → →

IV. Related Vulnerabilities

Same product: tensorflow
Same vendor: tensorflow
Same weakness: CWE-120

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