CVE-2021-29529— Heap buffer overflow caused by rounding
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I. Basic Information for CVE-2021-29529
Vulnerability Information
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Vulnerability Title
Heap buffer overflow caused by rounding
Source: NVD (National Vulnerability Database)
Vulnerability Description
TensorFlow is an end-to-end open source platform for machine learning. An attacker can trigger a heap buffer overflow in `tf.raw_ops.QuantizedResizeBilinear` by manipulating input values so that float rounding results in off-by-one error in accessing image elements. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/44b7f486c0143f68b56c34e2d01e146ee445134a/tensorflow/core/kernels/quantized_resize_bilinear_op.cc#L62-L66) computes two integers (representing the upper and lower bounds for interpolation) by ceiling and flooring a floating point value. For some values of `in`, `interpolation->upper[i]` might be smaller than `interpolation->lower[i]`. This is an issue if `interpolation->upper[i]` is capped at `in_size-1` as it means that `interpolation->lower[i]` points outside of the image. Then, in the interpolation code(https://github.com/tensorflow/tensorflow/blob/44b7f486c0143f68b56c34e2d01e146ee445134a/tensorflow/core/kernels/quantized_resize_bilinear_op.cc#L245-L264), this would result in heap buffer overflow. 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
缓冲区大小计算不正确
Source: NVD (National Vulnerability Database)
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。 TensorFlow 2.4.2,2.3.3,2.2.3，2.1.4存在安全漏洞，攻击者可利用该漏洞可以触发tf.raw_ops.QuantizedResizeBilinear中的堆缓冲区溢出。
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-2021-29529
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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 → →
IV. Related Vulnerabilities
Same product: tensorflow
Same vendor: tensorflow
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Arbitrary code injection vulnerability in Keras framework < - CVE-2023-25661
Denial of Service in TensorFlow - CVE-2023-25660
TensorFlow vulnerable to seg fault in `tf.raw_ops.Print`
Same weakness: CWE-131
V. Comments for CVE-2021-29529
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