CVE-2021-29570— Heap out of bounds read in `MaxPoolGradWithArgmax`
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。 TensorFlow 2.4.2,2.3.3,2.2.3，2.1.4存在缓冲区错误漏洞，该漏洞源于tf.raw_ops.MaxPoolGradWithArgmax可能导致读取超出堆分配数据的边界。
Possible ATT&CK Techniques 1 AI
T1190 · Exploit Public-Facing Application
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I. Basic Information for CVE-2021-29570
Vulnerability Information
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Vulnerability Title
Heap out of bounds read in `MaxPoolGradWithArgmax`
Source: CVE Program / CVE List V5
Vulnerability Description
TensorFlow is an end-to-end open source platform for machine learning. The implementation of `tf.raw_ops.MaxPoolGradWithArgmax` can cause reads outside of bounds of heap allocated data if attacker supplies specially crafted inputs. The implementation(https://github.com/tensorflow/tensorflow/blob/ef0c008ee84bad91ec6725ddc42091e19a30cf0e/tensorflow/core/kernels/maxpooling_op.cc#L1016-L1017) uses the same value to index in two different arrays but there is no guarantee that the sizes are identical. 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: CVE Program / CVE List V5
CVSS Information
CVSS:3.1/AV:L/AC:H/PR:L/UI:N/S:U/C:N/I:N/A:L
Source: CVE Program / CVE List V5
Vulnerability Type
跨界内存读
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。 TensorFlow 2.4.2,2.3.3,2.2.3，2.1.4存在缓冲区错误漏洞，该漏洞源于tf.raw_ops.MaxPoolGradWithArgmax可能导致读取超出堆分配数据的边界。
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-2021-29570
| # | POC Description | Source Link | Shenlong Link |
|---|
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Patches & Fixes for CVE-2021-29570 (1)
Vendor Advisories for CVE-2021-29570 (1)
-
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-545v-42p7-98fq x_refsource_CONFIRM
Same Patch Batch · tensorflow · 2021-05-14 · 108 CVEs total
| CVE-2021-29591 | 7.3 HIGH | Stack overflow due to looping TFLite subgraph |
| CVE-2021-29605 | 7.1 HIGH | Integer overflow in TFLite memory allocation |
| 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-2021-29612 | 3.6 LOW | Heap buffer overflow in `BandedTriangularSolve` |
| CVE-2021-29611 | 3.6 LOW | Incomplete validation in `SparseReshape` |
| CVE-2021-29610 | 3.6 LOW | Invalid validation in `QuantizeAndDequantizeV2` |
| 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-2021-29573 | 2.5 LOW | Division by 0 in `MaxPoolGradWithArgmax` |
Showing top 20 of 108 CVEs. View all on vendor page → →
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