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Positive Technologies
Positive Technologies
•added 2026/07/13 12:00 a.m.•27 views

PT-2026-59803

Impact When AudioSummaryV2 receives an input sample rate with more than one element, it gives a CHECK fails that can be used to trigger a denial of service attack. python import tensorflow as tf arg 0='' arg 1=tf.random.uniformshape=1,1, dtype=tf.float32, maxval=None arg...

7.5CVSS6.9AI score0.00478EPSS
SaveExploits0References8
Positive Technologies
Positive Technologies
•added 2026/07/13 12:00 a.m.•23 views

PT-2026-59886

Impact NPE in QuantizedMatMulWithBiasAndDequantize with MKL enable python import tensorflow as tf func = tf.raw ops.QuantizedMatMulWithBiasAndDequantize para='a': tf.constant138, dtype=tf.quint8, 'b': tf.constant4, dtype=tf.qint8, 'bias': 31.81644630432129, 47.21876525878906, 109.95201110839844,...

7.5CVSS6.6AI score0.00394EPSS
SaveExploits0References7
Positive Technologies
Positive Technologies
•added 2026/07/13 12:00 a.m.•24 views

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...

7.5CVSS7AI score0.00478EPSS
SaveExploits0References8
Positive Technologies
Positive Technologies
•added 2026/07/13 12:00 a.m.•18 views

PT-2026-59877

Impact If a list of quantized tensors is assigned to an attribute, the pywrap code fails to parse the tensor and returns a nullptr, which is not caught. An example can be seen in tf.compat.v1.extract volume patches by passing in quantized tensors as input ksizes. python import numpy as np import...

7.5CVSS7AI score0.00435EPSS
SaveExploits1References8
Positive Technologies
Positive Technologies
•added 2026/07/13 12:00 a.m.•23 views

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...

7.5CVSS7AI score0.00474EPSS
SaveExploits1References8
Positive Technologies
Positive Technologies
•added 2026/07/13 12:00 a.m.•12 views

PT-2026-59935

Impact Integer overflow occurs when 2^31 = num frames height width channels 2^32, for example Full HD screencast of at least 346 frames. python import urllib.request dat =...

7.5CVSS6.7AI score0.00308EPSS
SaveExploits0References7
Positive Technologies
Positive Technologies
•added 2026/07/13 12:00 a.m.•16 views

PT-2026-59978

Impact When tf.quantization.fake quant with min max vars gradient receives input min or max that is nonscalar, it gives a CHECK fail that can trigger a denial of service attack. python import tensorflow as tf import numpy as np arg 0=tf.constantvalue=np.random.randomsize=2, 2, shape=2, 2,...

7.5CVSS6.9AI score0.00478EPSS
SaveExploits0References8
Positive Technologies
Positive Technologies
•added 2026/07/13 12:00 a.m.•17 views

PT-2026-59963

Impact If Save or SaveSlices is run over tensors of an unsupported dtype, it results in a CHECK fail that can be used to trigger a denial of service attack. python import tensorflow as tf filename = tf.constant"" tensor names = tf.constant"" Save data = tf.casttf.random.uniformshape=1,...

7.5CVSS6.9AI score0.00478EPSS
SaveExploits0References8
Positive Technologies
Positive Technologies
•added 2026/07/13 12:00 a.m.•27 views

PT-2026-59835

Impact When tf.random.gamma receives large input shape and rates, it gives a CHECK fail that can trigger a denial of service attack. python import tensorflow as tf arg 0=tf.random.uniformshape=4,, dtype=tf.int32, maxval=65536 arg 1=tf.random.uniformshape=4, 4, dtype=tf.float64, maxval=None arg...

7.5CVSS6.9AI score0.00488EPSS
SaveExploits0References8
Positive Technologies
Positive Technologies
•added 2026/07/13 12:00 a.m.•17 views

PT-2026-59968

Impact When tf.random.gamma receives large input shape and rates, it gives a CHECK fail that can trigger a denial of service attack. python import tensorflow as tf arg 0=tf.random.uniformshape=4,, dtype=tf.int32, maxval=65536 arg 1=tf.random.uniformshape=4, 4, dtype=tf.float64, maxval=None arg...

7.5CVSS6.9AI score0.00488EPSS
SaveExploits0References8
Positive Technologies
Positive Technologies
•added 2026/07/13 12:00 a.m.•28 views

PT-2026-59900

Impact If QuantizedMatMul is given nonscalar input for: - min a - max a - min b - max b It gives a segfault that can be used to trigger a denial of service attack. python import tensorflow as tf Toutput = tf.qint32 transpose a = False transpose b = False Tactivation = tf.quint8 a = tf.constant7,...

7.5CVSS6.9AI score0.0051EPSS
SaveExploits0References8
Positive Technologies
Positive Technologies
•added 2026/07/13 12:00 a.m.•19 views

PT-2026-59816

Impact When tf.quantization.fake quant with min max vars per channel gradient receives input min or max of rank other than 1, it gives a CHECK fail that can trigger a denial of service attack. python import tensorflow as tf arg 0=tf.random.uniformshape=1,1, dtype=tf.float32, maxval=None arg...

7.5CVSS6.9AI score0.00462EPSS
SaveExploits0References8
Wolfi
Wolfi
•added 2026/07/11 2:16 a.m.•58 views

CVE-2026-49851 vulnerabilities

Vulnerabilities for packages: kubeflow-pipelines-visualization-server, jupyter-base-notebook...

8.7CVSS8AI score0.0063EPSS
SaveExploits0
Wolfi
Wolfi
•added 2026/07/11 2:16 a.m.•59 views

GHSA-QCQ2-496W-V96P vulnerabilities

Vulnerabilities for packages: kubeflow-pipelines-visualization-server, jupyter-base-notebook...

5.8AI score
SaveExploits0
Chainguard
Chainguard
•added 2026/07/10 8:22 p.m.•51 views

GHSA-QCQ2-496W-V96P vulnerabilities

Vulnerabilities for packages: jupyter-base-notebook, kubeflow-pipelines-visualization-server, tensorflow-cpu-jupyter...

5.8AI score
SaveExploits0
Chainguard
Chainguard
•added 2026/07/10 8:22 p.m.•57 views

CVE-2026-49851 vulnerabilities

Vulnerabilities for packages: jupyter-base-notebook, kubeflow-pipelines-visualization-server, tensorflow-cpu-jupyter...

8.7CVSS8AI score0.0063EPSS
SaveExploits0
OSV
OSV
•added 2026/07/09 4:49 p.m.•14 views

PYSEC-2026-3171 TensorFlow vulnerable to OOB write in `scatter_nd` in TF Lite

Impact The ScatterNd function takes an input argument that determines the indices of of the output tensor. An input index greater than the output tensor or less than zero will either write content at the wrong index or trigger a crash. Patches We have patched the issue in GitHub commit...

7CVSS7.7AI score0.00566EPSS
SaveExploits0References8
OSV
OSV
•added 2026/07/09 4:49 p.m.•14 views

PYSEC-2026-3168 TensorFlow vulnerable to `CHECK` failure in tf.reshape via overflows

Impact The implementation of tf.reshape op in TensorFlow is vulnerable to a denial of service via CHECK-failure assertion failure caused by overflowing the number of elements in a tensor: python import tensorflow as tf tf.reshapetensor=1,shape=tf.constant0 for i in range255, dtype=tf.int64 This i...

5.9CVSS7AI score0.00478EPSS
SaveExploits0References7
PyPA
PyPA
•added 2026/07/09 4:49 p.m.•21 views

TensorFlow vulnerable to OOB write in `scatter_nd` in TF Lite

ImpactThe ScatterNd function takes an input argument that determines the indices of of the output tensor. An input index greater than the output tensor or less than zero will either write content at the wrong index or trigger a crash. PatchesWe have patched the issue in GitHub commit...

9.8CVSS7.7AI score0.00566EPSS
SaveExploits0References8Affected Software1
PyPA
PyPA
•added 2026/07/09 4:49 p.m.•22 views

TensorFlow vulnerable to `CHECK` failure in tf.reshape via overflows

ImpactThe implementation of tf.reshape op in TensorFlow is vulnerable to a denial of service via CHECK-failure assertion failure caused by overflowing the number of elements in a tensor:pythonimport tensorflow as tftf.reshapetensor=1,shape=tf.constant0 for i in range255, dtype=tf.int64This is...

7.5CVSS7AI score0.00478EPSS
SaveExploits0References7Affected Software1
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