PYSEC-2026-3133 TensorFlow vulnerable to `CHECK` failures in `FractionalAvgPoolGrad`

Impact The implementation of FractionalAvgPoolGrad does not fully validate the input originputtensorshape. This results in an overflow that results in a CHECK failure which can be used to trigger a denial of service attack. python import tensorflow as tf overlapping = True originputtensorshape =...

PYSEC-2026-3296 TensorFlow vulnerable to `CHECK` failures in `FractionalAvgPoolGrad`

Impact The implementation of FractionalAvgPoolGrad does not fully validate the input originputtensorshape. This results in an overflow that results in a CHECK failure which can be used to trigger a denial of service attack. python import tensorflow as tf overlapping = True originputtensorshape =...

PYSEC-2026-3337 TensorFlow vulnerable to `CHECK` failures in `UnbatchGradOp`

Impact The UnbatchGradOp function takes an argument id that is assumed to be a scalar. A nonscalar id can trigger a CHECK failure and crash the program. python import numpy as np import tensorflow as tf id is not scalar tf.rawops.UnbatchGradoriginalinput= tf.constant1,batchindex=tf.constant0,0,0 ...

PT-2026-59815

Impact The UnbatchGradOp function takes an argument id that is assumed to be a scalar. A nonscalar id can trigger a CHECK failure and crash the program. python import numpy as np import tensorflow as tf id is not scalar tf.raw ops.UnbatchGradoriginal input= tf.constant1,batch index=tf.constant0,0...

PT-2026-59782

Impact If FractionMaxPoolGrad is given outsize inputs row pooling sequence and col pooling sequence, TensorFlow will crash. python import tensorflow as tf tf.raw ops.FractionMaxPoolGrad orig input = 1, 1, 1, 1, 1, orig output = 1, 1, 1, out backprop = 3, 3, 6, row pooling sequence = -0x4000000, 1...

PT-2026-59932

Impact The implementation of BlockLSTMGradV2 does not fully validate its inputs. - wci, wcf, wco, b must be rank 1 - w, cs prev, h prev must be rank 2 - x must be rank 3 This results in a a segfault that can be used to trigger a denial of service attack. python import tensorflow as tf use peephol...

PT-2026-59901

Impact Out of bounds read in GRUBlockCellGrad python func = tf.raw ops.GRUBlockCellGrad para = 'x': 21.1, 156.2, 83.3, 115.4, 'h prev': array136.5, 136.6, 'w ru': array26.7, 0.8, 47.9, 26.1, 26.2, 26.3, 'w c': array 0.4, 31.5, 0.6, 'b ru': array0.1, 0.2 , dtype=float32, 'b c': 0x41414141, 'r':...

PT-2026-59954

Impact If SparseFillEmptyRowsGrad is given empty inputs, TensorFlow will crash. python import tensorflow as tf tf.raw ops.SparseFillEmptyRowsGrad reverse index map=, grad values=, name=None Patches We have patched the issue in GitHub commit af4a6a3c8b95022c351edae94560acc61253a1b8. The fix will b...

PT-2026-59865

Impact FractionalMaxPoolGrad validates its inputs with CHECK failures instead of with returning errors. If it gets incorrectly sized inputs, the CHECK failure can be used to trigger a denial of service attack: python import tensorflow as tf overlapping = True orig input = tf.constant.453409232,...

PT-2026-59710

Impact When tf.raw ops.ResizeNearestNeighborGrad is given a large size input, it overflows. import tensorflow as tf align corners = True half pixel centers = False grads = tf.constant1, shape=1,8,16,3, dtype=tf.float16 size = tf.constant1879048192,1879048192, shape=2, dtype=tf.int32 tf.raw...

PT-2026-59750

Impact The implementation of FractionalAvgPoolGrad does not fully validate the input orig input tensor shape. This results in an overflow that results in a CHECK failure which can be used to trigger a denial of service attack. python import tensorflow as tf overlapping = True orig input tensor...

TensorFlow vulnerable to Out-of-Bounds Read in GRUBlockCellGrad

ImpactOut of bounds read in GRUBlockCellGradpythonfunc = tf.rawops.GRUBlockCellGradpara = 'x': 21.1, 156.2, 83.3, 115.4, 'hprev': array136.5, 136.6, 'wru': array26.7, 0.8, 47.9, 26.1, 26.2, 26.3, 'wc': array 0.4, 31.5, 0.6, 'bru': array0.1, 0.2 , dtype=float32, 'bc': 0x41414141, 'r': array0.3, 0....

TensorFlow vulnerable to `CHECK` fail in `AvgPoolGrad`

ImpactThe implementation of AvgPoolGrad does not fully validate the input originputshape. This results in a CHECK failure which can be used to trigger a denial of service attack:pythonimport tensorflow as tfksize = 1, 2, 2, 1strides = 1, 2, 2, 1padding = "VALID"dataformat = "NHWC"originputshape =...

TensorFlow vulnerable to `CHECK` failures in `FractionalAvgPoolGrad`

ImpactThe implementation of FractionalAvgPoolGrad does not fully validate the input originputtensorshape. This results in an overflow that results in a CHECK failure which can be used to trigger a denial of service attack.pythonimport tensorflow as tfoverlapping = Trueoriginputtensorshape =...

PYSEC-2026-969 TensorFlow vulnerable to `CHECK` failures in `FractionalAvgPoolGrad`

Impact The implementation of FractionalAvgPoolGrad does not fully validate the input originputtensorshape. This results in an overflow that results in a CHECK failure which can be used to trigger a denial of service attack. python import tensorflow as tf overlapping = True originputtensorshape =...

Every Character Counts: from Vulnerability to Defense in Phishing Detection

Phishing attacks targeting both organizations and individuals are becoming an increasingly significant threat as technology advances. Current automatic detection methods often lack explainability and robustness in detecting new phishing attacks. In this work, we investigate the effectiveness of...

Malicious code in @zalastax/nolb-grad (npm)

The package @zalastax/nolb-grad was found to contain malicious code...

MAL-2025-11735 Malicious code in @zalastax/nolb-grad (npm)

The package @zalastax/nolb-grad was found to contain malicious code...

TensorFlow vulnerable to Out-of-Bounds Read in GRUBlockCellGrad

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grad-group.com Improper Access Control vulnerability OBB-3800286

Following the coordinated and responsible vulnerability disclosure guidelines of the ISO 29147 standard, Open Bug Bounty has: a. verified the vulnerability and confirmed its existence; b. notified the website operator about its existence. Technical details of the vulnerability are currently hidde...