CVE-2023-25675— TensorFlow has Segfault in Bincount with XLA
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 版本存在安全漏洞，该漏洞源于当使用 XLA 运行 2.12.0 和 2.11.1 之前的版本时，如果给定的参数 weights 与参数 arr 的形状既不相同，也不是长度为 0 的张量，则 会出现段错误。
Possible ATT&CK Techniques 1 AI
T1496 · Resource Hijacking
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I. Basic Information for CVE-2023-25675
Vulnerability Information
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Vulnerability Title
TensorFlow has Segfault in Bincount with XLA
Source: CVE Program / CVE List V5
Vulnerability Description
TensorFlow is an open source machine learning platform. When running versions prior to 2.12.0 and 2.11.1 with XLA, `tf.raw_ops.Bincount` segfaults when given a parameter `weights` that is neither the same shape as parameter `arr` nor a length-0 tensor. 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:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
Source: CVE Program / CVE List V5
Vulnerability Type
不充分的比较
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 2.12.0 版本之前的 2.12 版本和 2.11.1 版本之前的 2.11 版本存在安全漏洞，该漏洞源于当使用 XLA 运行 2.12.0 和 2.11.1 之前的版本时，如果给定的参数 weights 与参数 arr 的形状既不相同，也不是长度为 0 的张量，则 `tf.raw_ops.Bincount` 会出现段错误。
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-2023-25675
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|---|
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Patches & Fixes for CVE-2023-25675 (1)
Vendor Advisories for CVE-2023-25675 (1)
-
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-7x4v-9gxg-9hwj x_refsource_CONFIRM
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-2023-25801 | 8.0 HIGH | TensorFlow has double free in Fractional(Max/Avg)Pool |
| 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-2023-25674 | 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 |
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