CVE-2021-29533— CHECK-fail in DrawBoundingBoxes
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I. Basic Information for CVE-2021-29533
Vulnerability Information
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Vulnerability Title
CHECK-fail in DrawBoundingBoxes
Source: NVD (National Vulnerability Database)
Vulnerability Description
TensorFlow is an end-to-end open source platform for machine learning. An attacker can trigger a denial of service via a `CHECK` failure by passing an empty image to `tf.raw_ops.DrawBoundingBoxes`. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/ea34a18dc3f5c8d80a40ccca1404f343b5d55f91/tensorflow/core/kernels/image/draw_bounding_box_op.cc#L148-L165) uses `CHECK_*` assertions instead of `OP_REQUIRES` to validate user controlled inputs. Whereas `OP_REQUIRES` allows returning an error condition back to the user, the `CHECK_*` macros result in a crash if the condition is false, similar to `assert`. In this case, `height` is 0 from the `images` input. This results in `max_box_row_clamp` being negative and the assertion being falsified, followed by aborting program execution. 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:H/PR:L/UI:N/S:U/C:N/I:N/A:L
Source: NVD (National Vulnerability Database)
Vulnerability Type
对因果或异常条件的不恰当检查
Source: NVD (National Vulnerability Database)
Vulnerability Title
Google TensorFlow 代码问题漏洞
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存在代码问题漏洞，攻击者可利用该漏洞可以通过利用来自实现CHECK失败来导致拒绝服务。
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-2021-29533
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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-2021-29605 | 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-2021-29525 | 2.5 LOW | Division by 0 in `Conv2DBackpropInput` |
| CVE-2021-29527 | 2.5 LOW | Division by 0 in `QuantizedConv2D` |
| 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-2021-29582 | 2.5 LOW | Heap OOB read in `tf.raw_ops.Dequantize` |
| CVE-2021-29572 | 2.5 LOW | Reference binding to nullptr in `SdcaOptimizer` |
Showing top 20 of 108 CVEs. View all on vendor page → →
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