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Positive Technologies
Positive Technologies
added 2026/07/13 12:00 a.m.16 views

PT-2026-59989

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,...

7.5CVSS6.9AI score0.00478EPSS
SaveExploits0References8
Positive Technologies
Positive Technologies
added 2026/07/13 12:00 a.m.18 views

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...

7.5CVSS6.9AI score0.00474EPSS
SaveExploits1References8
Positive Technologies
Positive Technologies
added 2026/07/13 12:00 a.m.17 views

PT-2026-59811

Impact If BCast::ToShape is given input larger than an int32, it will crash, despite being supposed to handle up to an int64. An example can be seen in tf.experimental.numpy.outer by passing in large input to the input b. python import tensorflow as tf value = tf.constantshape=2, 1024, 1024, 1024...

7.5CVSS6.9AI score0.00473EPSS
SaveExploits1References8
Positive Technologies
Positive Technologies
added 2026/07/13 12:00 a.m.21 views

PT-2026-59987

Impact If QuantizeDownAndShrinkRange is given nonscalar inputs for input min or input max, it results in a segfault that can be used to trigger a denial of service attack. python import tensorflow as tf out type = tf.quint8 input = tf.constant1, shape=3, dtype=tf.qint32 input min = tf.constant,...

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

PT-2026-59871

Impact If Requantize is given input min, input max, requested output min, requested output max tensors of a nonzero rank, it results in a segfault that can be used to trigger a denial of service attack. python import tensorflow as tf out type = tf.quint8 input = tf.constant1, shape=3,...

7.5CVSS6.9AI score0.0051EPSS
SaveExploits0References8
Positive Technologies
Positive Technologies
added 2026/07/13 12:00 a.m.10 views

PT-2026-59859

Impact If QuantizedAdd is given min input or max input tensors of a nonzero rank, it results in a segfault that can be used to trigger a denial of service attack. python import tensorflow as tf Toutput = tf.qint32 x = tf.constant140, shape=1, dtype=tf.quint8 y = tf.constant26, shape=10,...

7.5CVSS6.9AI score0.00493EPSS
SaveExploits0References8
Positive Technologies
Positive Technologies
added 2026/07/13 12:00 a.m.15 views

PT-2026-59818

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...

7.5CVSS6.9AI score0.00474EPSS
SaveExploits1References8
Positive Technologies
Positive Technologies
added 2026/07/13 12:00 a.m.13 views

PT-2026-59961

Impact When mlir::tfg::ConvertGenericFunctionToFunctionDef is given empty function attributes, it crashes. cpp // We pre-allocate the array of operands and populate it using the // output name to position and control output to position populated // previously. SmallVector ret valsfunc.ret size +...

7.5CVSS7AI score0.00701EPSS
SaveExploits0References9
Positive Technologies
Positive Technologies
added 2026/07/13 12:00 a.m.16 views

PT-2026-59952

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
Positive Technologies
Positive Technologies
added 2026/07/13 12:00 a.m.23 views

PT-2026-59213

Summary Several LangChain components that resolve filesystem paths or expand search patterns do not consistently confine the resolved path to the intended root directory. Affected behaviors include: a file-search agent middleware that validates a starting directory but not the search pattern or t...

5.5CVSS6.1AI score0.0021EPSS
SaveExploits0References7
Positive Technologies
Positive Technologies
added 2026/07/13 12:00 a.m.19 views

PT-2026-59891

Impact When SparseSparseMaximum is given invalid sparse tensors as inputs, it can give an NPE. python import tensorflow as tf tf.raw ops.SparseSparseMaximum a indices=1, a values = 0.1 , a shape = 2, b indices=, b values =2 , b shape = 2, Patches We have patched the issue in GitHub commit...

7.5CVSS6.6AI score0.00443EPSS
SaveExploits1References7
Positive Technologies
Positive Technologies
added 2026/07/13 12:00 a.m.22 views

PT-2026-59927

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...

7.5CVSS6.9AI score0.00474EPSS
SaveExploits1References8
Positive Technologies
Positive Technologies
added 2026/07/13 12:00 a.m.13 views

PT-2026-59844

Impact The implementation of Conv2DBackpropInput requires input sizes to be 4-dimensional. Otherwise, it gives a CHECK failure which can be used to trigger a denial of service attack: python import tensorflow as tf strides = 1, 1, 1, 1 padding = "SAME" use cudnn on gpu = True explicit paddings =...

7.5CVSS6.9AI score0.00462EPSS
SaveExploits0References8
Positive Technologies
Positive Technologies
added 2026/07/13 12:00 a.m.20 views

PT-2026-59712

Impact If SparseBincount is given inputs for indices, values, and dense shape that do not make a valid sparse tensor, it results in a segfault that can be used to trigger a denial of service attack. python import tensorflow as tf binary output = True indices = tf.random.uniformshape=,...

7.5CVSS6.9AI score0.0051EPSS
SaveExploits0References8
Positive Technologies
Positive Technologies
added 2026/07/13 12:00 a.m.17 views

PT-2026-59850

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.13 views

PT-2026-59827

Impact When mlir::tfg::ConvertGenericFunctionToFunctionDef is given empty function attributes, it crashes. cpp // We pre-allocate the array of operands and populate it using the // output name to position and control output to position populated // previously. SmallVector ret valsfunc.ret size +...

7.5CVSS7AI score0.00701EPSS
SaveExploits0References9
Positive Technologies
Positive Technologies
added 2026/07/13 12:00 a.m.16 views

PT-2026-59887

Impact If QuantizedBiasAdd is given min input, max input, min bias, max bias tensors of a nonzero rank, it results in a segfault that can be used to trigger a denial of service attack. python import tensorflow as tf out type = tf.qint32 input = tf.constant85,170,255, shape=3, dtype=tf.quint8 bias...

7.5CVSS6.9AI score0.00493EPSS
SaveExploits0References8
OSV
OSV
added 2026/07/10 3:16 p.m.20 views

DEBIAN-CVE-2026-56366

ImageMagick before 7.1.2-18 contains a memory leak vulnerability in the META reader when processing APP1JPEG input paths. Attackers can trigger this memory leak by providing specially crafted APP1JPEG image files, causing denial of service through resource exhaustion...

6.5CVSS6.1AI score0.00169EPSS
SaveExploits0References1
CVE
CVE
added 2026/07/10 9:05 a.m.42 views

CVE-2026-41876

CVE-2026-41876 affects R-SOFT DMS. The vulnerability is an OS Command Injection in konwertujAction(), where the document converter executes shell commands using unsanitized file paths and format parameters, allowing an authenticated attacker to run arbitrary commands with the web server user’s pr...

8.7CVSS6.3AI score0.01228EPSS
SaveExploits0References1
attackerkb
attackerkb
added 2026/07/10 9:05 a.m.20 views

CVE-2026-41876

R-SOFT DMS is vulnerable to OS Command Injection in konwertujAction function. The document converter executes shell commands using unsanitized file paths and format parameters. This allows an authenticated attacker to execute arbitrary system commands with the privileges of the web server user...

8.7CVSS6.3AI score0.01228EPSS
SaveExploits0References2
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