Release 2.3.1
Bug Fixes and Other Changes
- Fixes an undefined behavior causing a segfault in
tf.raw_ops.Switch (CVE-2020-15190)
- Fixes three vulnerabilities in conversion to DLPack format (CVE-2020-15191, CVE-2020-15192, CVE-2020-15193)
- Fixes two vulnerabilities in
SparseFillEmptyRowsGrad (CVE-2020-15194, CVE-2020-15195)
- Fixes several vulnerabilities in
RaggedCountSparseOutput and SparseCountSparseOutput operations (CVE-2020-15196, CVE-2020-15197, CVE-2020-15198, CVE-2020-15199, CVE-2020-15200, CVE-2020-15201)
- Fixes an integer truncation vulnerability in code using the work sharder API (CVE-2020-15202)
- Fixes a format string vulnerability in
tf.strings.as_string (CVE-2020-15203)
- Fixes segfault raised by calling session-only ops in eager mode (CVE-2020-15204)
- Fixes data leak and potential ASLR violation from
tf.raw_ops.StringNGrams (CVE-2020-15205)
- Fixes segfaults caused by incomplete
SavedModel validation (CVE-2020-15206)
- Fixes a data corruption due to a bug in negative indexing support in TFLite (CVE-2020-15207)
- Fixes a data corruption due to dimension mismatch in TFLite (CVE-2020-15208)
- Fixes several vulnerabilities in TFLite saved model format (CVE-2020-15209, CVE-2020-15210, CVE-2020-15211)
- Fixes several vulnerabilities in TFLite implementation of segment sum (CVE-2020-15212, CVE-2020-15213, CVE-2020-15214)
- Updates
sqlite3 to 3.33.00 to handle CVE-2020-15358.
- Fixes deprecated usage of
collections API
- Removes
scipy dependency from setup.py since TensorFlow does not need it to install the pip package
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