CVE-2021-29605— Integer overflow in TFLite memory allocation
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I. Basic Information for CVE-2021-29605
Vulnerability Information
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Vulnerability Title
Integer overflow in TFLite memory allocation
Source: NVD (National Vulnerability Database)
Vulnerability Description
TensorFlow is an end-to-end open source platform for machine learning. The TFLite code for allocating `TFLiteIntArray`s is vulnerable to an integer overflow issue(https://github.com/tensorflow/tensorflow/blob/4ceffae632721e52bf3501b736e4fe9d1221cdfa/tensorflow/lite/c/common.c#L24-L27). An attacker can craft a model such that the `size` multiplier is so large that the return value overflows the `int` datatype and becomes negative. In turn, this results in invalid value being given to `malloc`(https://github.com/tensorflow/tensorflow/blob/4ceffae632721e52bf3501b736e4fe9d1221cdfa/tensorflow/lite/c/common.c#L47-L52). In this case, `ret->size` would dereference an invalid pointer. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, 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:H/A:H
Source: NVD (National Vulnerability Database)
Vulnerability Type
整数溢出或超界折返
Source: NVD (National Vulnerability Database)
Vulnerability Title
Google TensorFlow 输入验证错误漏洞
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。 TensorFlow 2.4.2,2.3.3,2.2.3，2.1.4存在输入验证错误漏洞，用于分配TFLiteIntArray的TFLite代码容易受到整数溢出问题的影响。
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 | < 2.1.4 | - |
II. Public POCs for CVE-2021-29605
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|---|
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Same Patch Batch · tensorflow · 2021-05-14 · 108 CVEs total
| CVE-2021-29591 | 7.3 HIGH | Stack overflow due to looping TFLite subgraph |
| CVE-2021-29606 | 7.1 HIGH | Heap OOB read in TFLite |
| CVE-2021-29614 | 7.1 HIGH | Interpreter crash from `tf.io.decode_raw` |
| CVE-2021-29601 | 6.3 MEDIUM | Integer overflow in TFLite concatentation |
| CVE-2021-29613 | 6.3 MEDIUM | Incomplete validation in `tf.raw_ops.CTCLoss` |
| CVE-2021-29607 | 5.3 MEDIUM | Incomplete validation in `SparseSparseMinimum` |
| CVE-2021-29608 | 5.3 MEDIUM | Heap OOB and null pointer dereference in `RaggedTensorToTensor` |
| CVE-2021-29609 | 5.3 MEDIUM | Incomplete validation in `SparseAdd` |
| CVE-2021-29571 | 4.5 MEDIUM | Memory corruption in `DrawBoundingBoxesV2` |
| CVE-2021-29592 | 4.4 MEDIUM | Null pointer dereference in TFLite's `Reshape` operator |
| CVE-2021-29610 | 3.6 LOW | Invalid validation in `QuantizeAndDequantizeV2` |
| CVE-2021-29611 | 3.6 LOW | Incomplete validation in `SparseReshape` |
| CVE-2021-29612 | 3.6 LOW | Heap buffer overflow in `BandedTriangularSolve` |
| CVE-2021-29526 | 2.5 LOW | Division by 0 in `Conv2D` |
| CVE-2021-29528 | 2.5 LOW | Division by 0 in `QuantizedMul` |
| CVE-2021-29525 | 2.5 LOW | Division by 0 in `Conv2DBackpropInput` |
| CVE-2021-29584 | 2.5 LOW | CHECK-fail due to integer overflow |
| CVE-2021-29583 | 2.5 LOW | Heap buffer overflow and undefined behavior in `FusedBatchNorm` |
| CVE-2021-29574 | 2.5 LOW | Undefined behavior in `MaxPool3DGradGrad` |
| CVE-2021-29573 | 2.5 LOW | Division by 0 in `MaxPoolGradWithArgmax` |
Showing top 20 of 108 CVEs. View all on vendor page → →
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