PYSEC-2026-3232 Integer overflow in Tensorflow

Impact The implementation of Range suffers from integer overflows. These can trigger undefined behavior or, in some scenarios, extremely large allocations. Patches We have patched the issue in GitHub commit f0147751fd5d2ff23251149ebad9af9f03010732 merging 51733. The fix will be included in...

PYSEC-2026-3099 Read and Write outside of bounds in TensorFlow

Impact An attacker can craft a TFLite model that would allow limited reads and writes outside of arrays in TFLite. This exploits missing validation in the conversion from sparse tensors to dense tensors. Patches We have patched the issue in GitHub commit 6364463d6f5b6254cac3d6aedf999b6a96225038...

PYSEC-2026-3097 Heap overflow in Tensorflow

Impact The implementation of SparseCountSparseOutput is vulnerable to a heap overflow: python import tensorflow as tf import numpy as np tf.rawops.SparseCountSparseOutput indices=-1,-1, values=2, denseshape=1, 1, weights=1, binaryoutput=True, minlength=-1, maxlength=-1, name=None Patches We have...

PYSEC-2026-3095 Division by zero in TFLite

Impact An attacker can craft a TFLite model that would trigger a division by zero in the implementation of depthwise convolutions. The parameters of the convolution can be user controlled and are also used within a division operation to determine the size of the padding that needs to be added...

PYSEC-2026-3102 `CHECK`-failures in Tensorflow

Impact An attacker can trigger denial of service via assertion failure by altering a SavedModel on disk such that AttrDefs of some operation are duplicated. Patches We have patched the issue in GitHub commit c2b31ff2d3151acb230edc3f5b1832d2c713a9e0. The fix will be included in TensorFlow 2.8.0. W...

PYSEC-2026-3153 Null-dereference in Tensorflow

Impact When decoding a tensor from protobuf, TensorFlow might do a null-dereference if attributes of some mutable arguments to some operations are missing from the proto. This is guarded by a DCHECK: cc const auto attr = attrs.Findarg-s; DCHECKattr != nullptr; if attr-valuecase == AttrValue::kLis...

PYSEC-2026-3173 Null pointer dereference in TensorFlow

Impact When building an XLA compilation cache, if default settings are used, TensorFlow triggers a null pointer dereference: cc string allowedgpus = flr-configproto-gpuoptions.visibledevicelist; In the default scenario, all devices are allowed, so flr-configproto is nullptr. Patches We have patch...

PYSEC-2026-3258 Integer overflow leading to crash in Tensorflow

Impact The implementation of SparseCountSparseOutput can be made to crash a TensorFlow process by an integer overflow whose result is then used in a memory allocation: python import tensorflow as tf import numpy as np tf.rawops.SparseCountSparseOutput indices=1,1, values=2, denseshape=2 31, 2 32,...

PYSEC-2026-3240 Integer overflows in Tensorflow

Impact The implementations of SparseCwise ops are vulnerable to integer overflows. These can be used to trigger large allocations so, OOM based denial of service or CHECK-fails when building new TensorShape objects so, assert failures based denial of service: python import tensorflow as tf import...

PYSEC-2026-3094 Null pointer dereference in TensorFlow

Impact The implementation of QuantizedMaxPool has an undefined behavior where user controlled inputs can trigger a reference binding to null pointer. python import tensorflow as tf tf.rawops.QuantizedMaxPool input = tf.constant4, dtype=tf.quint8, mininput = , maxinput = 1, ksize = 1, 1, 1, 1,...

PYSEC-2026-3230 `CHECK`-fails when building invalid tensor shapes in Tensorflow

Impact Multiple operations in TensorFlow can be used to trigger a denial of service via CHECK-fails i.e., assertion failures. This is similar to TFSA-2021-198 CVE-2021-41197 and has similar fixes. Patches We have patched the reported issues in multiple GitHub commits. It is possible that other...

PYSEC-2026-3164 Assertion failure based denial of service in Tensorflow

Impact The implementation of Bincount operations allows malicious users to cause denial of service by passing in arguments which would trigger a CHECK-fail: python import tensorflow as tf tf.rawops.DenseBincount input=0, 1, 2, size=1, weights=3,2,1, binaryoutput=False There are several conditions...

PYSEC-2026-3114 Integer overflows in Tensorflow

Impact The implementation of AddManySparseToTensorsMap is vulnerable to an integer overflow which results in a CHECK-fail when building new TensorShape objects so, an assert failure based denial of service: python import tensorflow as tf import numpy as np tf.rawops.AddManySparseToTensorsMap...

PYSEC-2026-3157 Out of bounds read in Tensorflow

Impact The TFG dialect of TensorFlow MLIR makes several assumptions about the incoming GraphDef before converting it to the MLIR-based dialect. If an attacker changes the SavedModel format on disk to invalidate these assumptions and the GraphDef is then converted to MLIR-based IR then they can...

PYSEC-2026-3225 Crash due to erroneous `StatusOr` in TensorFlow

Impact A GraphDef from a TensorFlow SavedModel can be maliciously altered to cause a TensorFlow process to crash due to encountering a StatusOr value that is an error and forcibly extracting the value from it: cc if opregdata-typector != nullptr VLOG3 opdef; const FullTypeDef ctortypedef =...

PYSEC-2026-3154 Null pointer dereference in Grappler's `IsConstant`

Impact Under certain scenarios, Grappler component of TensorFlow can trigger a null pointer dereference. There are 2 places where this can occur, for the same malicious alteration of a SavedModel file fixing the first one would trigger the same dereference in the second place: First, during...

PYSEC-2026-3309 Out of bounds read in Tensorflow

Impact The TFG dialect of TensorFlow MLIR makes several assumptions about the incoming GraphDef before converting it to the MLIR-based dialect. If an attacker changes the SavedModel format on disk to invalidate these assumptions and the GraphDef is then converted to MLIR-based IR then they can...

PYSEC-2026-3241 Crash when type cannot be specialized in Tensorflow

Impact Under certain scenarios, TensorFlow can fail to specialize a type during shape inference: cc void InferenceContext::PreInputInit const OpDef& opdef, const std::vector& inputtensors, const std::vector& inputtensorsasshapes const auto ret = fulltype::SpecializeTypeattrs, opdef;...

PYSEC-2026-3204 Reachable Assertion in Tensorflow

Impact When decoding a tensor from protobuf, a TensorFlow process can encounter cases where a CHECK assertion is invalidated based on user controlled arguments, if the tensors have an invalid dtype and 0 elements or an invalid shape. This allows attackers to cause denial of services in TensorFlow...

PYSEC-2026-3084 Stack overflow in TensorFlow

Impact The GraphDef format in TensorFlow does not allow self recursive functions. The runtime assumes that this invariant is satisfied. However, a GraphDef containing a fragment such as the following can be consumed when loading a SavedModel: library function signature name: "SomeOp" description:...