PYSEC-2021-457

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Import Source
https://github.com/pypa/advisory-database/blob/main/vulns/tensorflow-cpu/PYSEC-2021-457.yaml
JSON Data
https://api.test.osv.dev/v1/vulns/PYSEC-2021-457
Aliases
Published
2021-05-14T20:15:00Z
Modified
2023-12-06T00:46:02.711105Z
Summary
[none]
Details

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/quantizedresizebilinearop.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/quantizedresizebilinearop.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.

References

Affected packages

PyPI / tensorflow-cpu

Package

Affected ranges

Type
GIT
Repo
https://github.com/tensorflow/tensorflow
Events
Introduced
0 Unknown introduced commit / All previous commits are affected
Fixed
Type
ECOSYSTEM
Events
Introduced
0Unknown introduced version / All previous versions are affected
Fixed
2.1.4
Introduced
2.2.0
Fixed
2.2.3
Introduced
2.3.0
Fixed
2.3.3
Introduced
2.4.0
Fixed
2.4.2

Affected versions

1.*

1.15.0

2.*

2.1.0
2.1.1
2.1.2
2.1.3
2.2.0
2.2.1
2.2.2
2.3.0
2.3.1
2.3.2
2.4.0
2.4.1