CVE-2021-37668— Division by zero in TensorFlow Lite `tf.raw_ops.UnravelIndex`
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I. Basic Information for CVE-2021-37668
Vulnerability Information
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Vulnerability Title
Division by zero in TensorFlow Lite `tf.raw_ops.UnravelIndex`
Source: NVD (National Vulnerability Database)
Vulnerability Description
TensorFlow is an end-to-end open source platform for machine learning. In affected versions an attacker can cause denial of service in applications serving models using `tf.raw_ops.UnravelIndex` by triggering a division by 0. The [implementation](https://github.com/tensorflow/tensorflow/blob/460e000de3a83278fb00b61a16d161b1964f15f4/tensorflow/core/kernels/unravel_index_op.cc#L36) does not check that the tensor subsumed by `dims` is not empty. Hence, if one element of `dims` is 0, the implementation does a division by 0. We have patched the issue in GitHub commit a776040a5e7ebf76eeb7eb923bf1ae417dd4d233. The fix will be included in TensorFlow 2.6.0. We will also cherrypick this commit on TensorFlow 2.5.1, TensorFlow 2.4.3, and TensorFlow 2.3.4, as these are also affected and still in supported range.
Source: NVD (National Vulnerability Database)
CVSS Information
CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H
Source: NVD (National Vulnerability Database)
Vulnerability Type
除零错误
Source: NVD (National Vulnerability Database)
Vulnerability Title
Google TensorFlow 数字错误漏洞
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 中存在数字错误漏洞，该漏洞源于产品的 tf.raw_ops.UnravelIndex 未对除数做有效限制，攻击者可通过除0导致拒绝服务。以下产品及版本收到影响：TensorFlow 2.5.1、TensorFlow 2.4.3 和 TensorFlow 2.3.4。
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 | >= 2.5.0, < 2.5.1 | - |
II. Public POCs for CVE-2021-37668
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|---|
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Same Patch Batch · tensorflow · 2021-08-12 · 58 CVEs total
| CVE-2021-37678 | 9.3 CRITICAL | Arbitrary code execution due to YAML deserialization |
| CVE-2021-37639 | 8.4 HIGH | Null pointer dereference and heap OOB read in TensorFlow |
| CVE-2021-37689 | 7.8 HIGH | Null pointer dereference in TensorFlow Lite MLIR optimizations |
| CVE-2021-37665 | 7.8 HIGH | Incomplete validation in MKL requantization in TensorFlow |
| CVE-2021-37663 | 7.8 HIGH | Incomplete validation in `QuantizeV2` in TensorFlow |
| CVE-2021-37681 | 7.8 HIGH | Null pointer exception in TensorFlow Lite |
| CVE-2021-37648 | 7.8 HIGH | Incorrect validation of `SaveV2` inputs in TensorFlow |
| CVE-2021-37688 | 7.8 HIGH | Null pointer dereference in TensorFlow Lite |
| CVE-2021-37676 | 7.8 HIGH | Reference binding to nullptr in shape inference in TensorFlow |
| CVE-2021-37671 | 7.8 HIGH | Reference binding to nullptr in map operations in TensorFlow |
| CVE-2021-37666 | 7.8 HIGH | Reference binding to nullptr in `RaggedTensorToVariant` in TensorFlow |
| CVE-2021-37667 | 7.8 HIGH | Reference binding to nullptr in unicode encoding in TensorFlow |
| CVE-2021-37652 | 7.8 HIGH | Use after free in boosted trees creation in TensorFlow |
| CVE-2021-37650 | 7.8 HIGH | Segfault and heap buffer overflow in `{Experimental,}DatasetToTFRecord` in TensorFlow |
| CVE-2021-37643 | 7.7 HIGH | Null pointer dereference in `MatrixDiagPartOp` in TensorFlow |
| CVE-2021-37647 | 7.7 HIGH | Null pointer dereference in `SparseTensorSliceDataset` in TensorFlow |
| CVE-2021-37638 | 7.7 HIGH | Null pointer dereference in `RaggedTensorToTensor` in TensorFlow |
| CVE-2021-37649 | 7.7 HIGH | Null pointer dereference in `UncompressElement` in TensorFlow |
| CVE-2021-37637 | 7.7 HIGH | Null pointer dereference in `CompressElement` in TensorFlow |
| CVE-2021-37664 | 7.3 HIGH | Heap OOB in boosted trees in TensorFlow |
Showing top 20 of 58 CVEs. View all on vendor page → →
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