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CVE-2023-25801— TensorFlow has double free in Fractional(Max/Avg)Pool

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 2.12.0 版本之前的 2.12 版本和 2.11.1 版本之前的 2.11 版本存在资源管理错误漏洞，该漏洞源于 和 要求其参数 的第一个和第四个元素等于 1.0，因为不支持批量和通道维度上的池化。

CVSS 8.0 · High EPSS 0.15% · P4

Possible ATT&CK Techniques 1 AI

T1190 · Exploit Public-Facing Application
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I. Basic Information for CVE-2023-25801

Vulnerability Information
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Vulnerability Title
TensorFlow has double free in Fractional(Max/Avg)Pool
Source: CVE Program / CVE List V5
Vulnerability Description
TensorFlow is an open source machine learning platform. Prior to versions 2.12.0 and 2.11.1, `nn_ops.fractional_avg_pool_v2` and `nn_ops.fractional_max_pool_v2` require the first and fourth elements of their parameter `pooling_ratio` to be equal to 1.0, as pooling on batch and channel dimensions is not supported. A fix is included in TensorFlow 2.12.0 and 2.11.1.
Source: CVE Program / CVE List V5
CVSS Information
CVSS:3.1/AV:L/AC:L/PR:N/UI:N/S:U/C:L/I:H/A:H
Source: CVE Program / CVE List V5
Vulnerability Type
双重释放
Source: CVE Program / CVE List V5
Vulnerability Title
Google TensorFlow 资源管理错误漏洞
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 2.12.0 版本之前的 2.12 版本和 2.11.1 版本之前的 2.11 版本存在资源管理错误漏洞，该漏洞源于 `nn_ops.fractional_avg_pool_v2` 和 `nn_ops.fractional_max_pool_v2` 要求其参数 `pooling_ratio` 的第一个和第四个元素等于 1.0，因为不支持批量和通道维度上的池化。
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 < 2.11.1 -

II. Public POCs for CVE-2023-25801

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III. Intelligence Information for CVE-2023-25801

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Patches & Fixes for CVE-2023-25801 (1)

Vendor Advisories for CVE-2023-25801 (1)

Same Patch Batch · tensorflow · 2023-03-24 · 20 CVEs total

CVE-2023-25668 9.8 CRITICAL TensorFlow vulnerable to heap out-of-buffer read in the QuantizeAndDequantize operation
CVE-2023-27579 7.5 HIGH TensorFlow has Floating Point Exception in TFLite in conv kernel
CVE-2023-25660 7.5 HIGH TensorFlow vulnerable to seg fault in `tf.raw_ops.Print`
CVE-2023-25676 7.5 HIGH TensorFlow has null dereference on ParallelConcat with XLA
CVE-2023-25675 7.5 HIGH TensorFlow has Segfault in Bincount with XLA
CVE-2023-25674 7.5 HIGH TensorFlow has Null Pointer Error in RandomShuffle with XLA enable
CVE-2023-25673 7.5 HIGH TensorFlow has Floating Point Exception in TensorListSplit with XLA
CVE-2023-25672 7.5 HIGH TensorFlow has Null Pointer Error in LookupTableImportV2
CVE-2023-25671 7.5 HIGH TensorFlow has segmentation fault in tfg-translate
CVE-2023-25670 7.5 HIGH TensorFlow has Null Pointer Error in QuantizedMatMulWithBiasAndDequantize
CVE-2023-25669 7.5 HIGH TensorFlow has Floating Point Exception in AvgPoolGrad with XLA
CVE-2023-25665 7.5 HIGH TensorFlow has Null Pointer Error in SparseSparseMaximum
CVE-2023-25666 7.5 HIGH TensorFlow has Floating Point Exception in AudioSpectrogram
CVE-2023-25664 7.5 HIGH TensorFlow vulnerable to Heap Buffer Overflow in AvgPoolGrad
CVE-2023-25663 7.5 HIGH TensorFlow has Null Pointer Error in TensorArrayConcatV2
CVE-2023-25662 7.5 HIGH TensorFlow vulnerable to integer overflow in EditDistance
CVE-2023-25658 7.5 HIGH TensorFlow vulnerable to Out-of-Bounds Read in GRUBlockCellGrad
CVE-2023-25659 7.5 HIGH TensorFlow vulnerable to Out-of-Bounds Read in DynamicStitch
CVE-2023-25667 6.5 MEDIUM TensorFlow vulnerable to segfault when opening multiframe gif

IV. Related Vulnerabilities

Same product: tensorflow
Same vendor: tensorflow
Same weakness: CWE-415

V. Comments for CVE-2023-25801

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