Release 2.5.3

Note: This is the last release in the 2.5 series.

This releases introduces several vulnerability fixes:

• Fixes a floating point division by 0 when executing convolution operators (CVE-2022-21725)
• Fixes a heap OOB read in shape inference for ReverseSequence (CVE-2022-21728)
• Fixes a heap OOB access in Dequantize (CVE-2022-21726)
• Fixes an integer overflow in shape inference for Dequantize (CVE-2022-21727)
• Fixes a heap OOB access in FractionalAvgPoolGrad (CVE-2022-21730)
• Fixes an overflow and divide by zero in UnravelIndex (CVE-2022-21729)
• Fixes a type confusion in shape inference for ConcatV2 (CVE-2022-21731)
• Fixes an OOM in ThreadPoolHandle (CVE-2022-21732)
• Fixes an OOM due to integer overflow in StringNGrams (CVE-2022-21733)
• Fixes more issues caused by incomplete validation in boosted trees code (CVE-2021-41208)
• Fixes an integer overflows in most sparse component-wise ops (CVE-2022-23567)
• Fixes an integer overflows in AddManySparseToTensorsMap (CVE-2022-23568)
• Fixes a number of CHECK-failures in MapStage (CVE-2022-21734)
• Fixes a division by zero in FractionalMaxPool (CVE-2022-21735)
• Fixes a number of CHECK-fails when building invalid/overflowing tensor shapes (CVE-2022-23569)
• Fixes an undefined behavior in SparseTensorSliceDataset (CVE-2022-21736)
• Fixes an assertion failure based denial of service via faulty bin count operations (CVE-2022-21737)
• Fixes a reference binding to null pointer in QuantizedMaxPool (CVE-2022-21739)
• Fixes an integer overflow leading to crash in SparseCountSparseOutput (CVE-2022-21738)
• Fixes a heap overflow in SparseCountSparseOutput (CVE-2022-21740)
• Fixes an FPE in BiasAndClamp in TFLite (CVE-2022-23557)
• Fixes an FPE in depthwise convolutions in TFLite (CVE-2022-21741)
• Fixes an integer overflow in TFLite array creation (CVE-2022-23558)
• Fixes an integer overflow in TFLite (CVE-2022-23559)
• Fixes a dangerous OOB write in TFLite (CVE-2022-23561)
• Fixes a vulnerability leading to read and write outside of bounds in TFLite (CVE-2022-23560)
• Fixes a set of vulnerabilities caused by using insecure temporary files (CVE-2022-23563)
• Fixes an integer overflow in Range resulting in undefined behavior and OOM (CVE-2022-23562)
• Fixes a vulnerability where missing validation causes tf.sparse.split to crash when axis is a tuple (CVE-2021-41206)
• Fixes a CHECK-fail when decoding resource handles from proto (CVE-2022-23564)
• Fixes a CHECK-fail with repeated AttrDef (CVE-2022-23565)
• Fixes a heap OOB write in Grappler (CVE-2022-23566)
• Fixes a CHECK-fail when decoding invalid tensors from proto (CVE-2022-23571)
• Fixes an unitialized variable access in AssignOp (CVE-2022-23573)
• Fixes an integer overflow in OpLevelCostEstimator::CalculateTensorSize (CVE-2022-23575)
• Fixes an integer overflow in OpLevelCostEstimator::CalculateOutputSize (CVE-2022-23576)
• Fixes a null dereference in GetInitOp (CVE-2022-23577)
• Fixes a memory leak when a graph node is invalid (CVE-2022-23578)
• Fixes an abort caused by allocating a vector that is too large (CVE-2022-23580)
• Fixes multiple CHECK-failures during Grappler's IsSimplifiableReshape (CVE-2022-23581)
• Fixes multiple CHECK-failures during Grappler's SafeToRemoveIdentity (CVE-2022-23579)
• Fixes multiple CHECK-failures in TensorByteSize (CVE-2022-23582)
• Fixes multiple CHECK-failures in binary ops due to type confusion (CVE-2022-23583)
• Fixes a use after free in DecodePng kernel (CVE-2022-23584)
• Fixes a memory leak in decoding PNG images (CVE-2022-23585)
• Fixes multiple CHECK-fails in function.cc (CVE-2022-23586)
• Fixes multiple CHECK-fails due to attempting to build a reference tensor (CVE-2022-23588)
• Fixes an integer overflow in Grappler cost estimation of crop and resize operation (CVE-2022-23587)
• Fixes a null pointer dereference in Grappler's IsConstant (CVE-2022-23589)
• Fixes a CHECK failure in constant folding (CVE-2021-41197)
• Fixes a stack overflow due to self-recursive function in GraphDef (CVE-2022-23591)
• Updates icu to 69.1 to handle CVE-2020-10531