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Debian CVE
Debian CVE
•added 2026/09/25 10:36 a.m.•10 views

CVE-2026-98137

In the Linux kernel, the following vulnerability has been resolved: ntfs: treat any nonzero dio zero-range return as an error ntfsdiozerorange returns either 0 or a negative errno from blkdevissuezeroout; it never returns a positive value. The zeroing failure check in ntfsattrfallocate therefore...

5.9AI score0.00145EPSS
SaveExploits0
AstraLinux
AstraLinux
•added 2026/09/14 12:41 p.m.•11 views

Astra Linux – Vulnerability in pillow

A issue was discovered in Pillow before version 8.2.0. For FLI data, FliDecode did not properly check that the block advance was non-zero, potentially leading to an infinite loop during loading...

7.5CVSS6.9AI score0.02501EPSS
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AstraLinux
AstraLinux
•added 2026/09/14 12:41 p.m.•10 views

Astra Linux – Vulnerability in Linux 6.1

In the Linux kernel, the following vulnerability has been resolved: media: uvcvideo: Mark invalid entities with id UVCINVALIDENTITYID According to UVC 1.1+ specification 3.7.2, units and terminals must have a non-zero unique ID. Each unit and terminal within the video function is assigned a uniqu...

6.2AI score0.00253EPSS
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NVD
NVD
•added 2026/08/10 12:17 p.m.•15 views

CVE-2026-68089

In the Linux kernel, the following vulnerability has been resolved: iio: core: fix uninitialized data in debugfs If ppos is non-zero then simplewritetobuffer will not initialize the start of buf. Non zero values for ppos aren't going to work anyway. Test for them at the start of the function and...

0.00206EPSS
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EUVD
EUVD
•added 2026/08/10 11:51 a.m.•35 views

EUVD-2026-55270

In the Linux kernel, the following vulnerability has been resolved: iio: core: fix uninitialized data in debugfs If ppos is non-zero then simplewritetobuffer will not initialize the start of buf. Non zero values for ppos aren't going to work anyway. Test for them at the start of the function and...

5.8AI score0.00206EPSS
SaveExploits0References3
Vulnrichment
Vulnrichment
•added 2026/08/01 12:22 p.m.•11 views

CVE-2026-67303 FreeRDP before 3.29.0 Denial of Service via serial DeviceControl

FreeRDP before 3.29.0 contains a reachable assertion WINPRASSERTOutputBufferLength == BytesReturned in serialprocessirpdevicecontrol in channels/serial/client/serialmain.c. When serial device redirection is enabled and a server-controlled IRPMJDEVICECONTROL request specifies an unsupported IOCTL...

5.3CVSS5.7AI score0.00418EPSS
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OSV
OSV
•added 2026/07/25 10:17 a.m.•14 views

UBUNTU-CVE-2026-64503

In the Linux kernel, the following vulnerability has been resolved: iio: accel: kxsd9: fix runtime PM imbalance on writeraw error kxsd9writeraw takes a runtime PM reference with pmruntimegetsync but returns -EINVAL directly when a scale with a non-zero integer part is requested, skipping the...

5.9AI score0.0022EPSS
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PyPA
PyPA
•added 2026/07/13 2:19 p.m.•20 views

TensorFlow vulnerable to `CHECK` fail in `FakeQuantWithMinMaxVars`

ImpactIf FakeQuantWithMinMaxVars is given min or max tensors of a nonzero rank, it results in a CHECK fail that can be used to trigger a denial of service attack.pythonimport tensorflow as tfnumbits = 8narrowrange = Falseinputs = tf.constant0, shape=2,3, dtype=tf.float32min = tf.constant0,...

7.5CVSS6.9AI score0.00462EPSS
SaveExploits0References7Affected Software1
OSV
OSV
•added 2026/07/13 2:19 p.m.•12 views

PYSEC-2026-3326 TensorFlow vulnerable to segfault in `QuantizedInstanceNorm`

Impact If QuantizedInstanceNorm is given xmin or xmax 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 outputrangegiven = False givenymin = 0 givenymax = 0 varianceepsilon = 1e-05 minseparation = 0.001 x =...

5.9CVSS6.9AI score0.0051EPSS
SaveExploits0References7
PyPA
PyPA
•added 2026/07/13 2:19 p.m.•21 views

TensorFlow vulnerable to segfault in `QuantizedInstanceNorm`

ImpactIf QuantizedInstanceNorm is given xmin or xmax tensors of a nonzero rank, it results in a segfault that can be used to trigger a denial of service attack.pythonimport tensorflow as tfoutputrangegiven = Falsegivenymin = 0givenymax = 0varianceepsilon = 1e-05minseparation = 0.001x =...

7.5CVSS6.9AI score0.0051EPSS
SaveExploits0References7Affected Software1
PyPA
PyPA
•added 2026/07/13 2:19 p.m.•18 views

TensorFlow vulnerable to `CHECK` fail in `FakeQuantWithMinMaxVars`

ImpactIf FakeQuantWithMinMaxVars is given min or max tensors of a nonzero rank, it results in a CHECK fail that can be used to trigger a denial of service attack.pythonimport tensorflow as tfnumbits = 8narrowrange = Falseinputs = tf.constant0, shape=2,3, dtype=tf.float32min = tf.constant0,...

7.5CVSS6.9AI score0.00462EPSS
SaveExploits0References7Affected Software1
OSV
OSV
•added 2026/07/13 2:19 p.m.•13 views

PYSEC-2026-3305 TensorFlow vulnerable to `CHECK` fail in `FakeQuantWithMinMaxVars`

Impact If FakeQuantWithMinMaxVars is given min or max tensors of a nonzero rank, it results in a CHECK fail that can be used to trigger a denial of service attack. python import tensorflow as tf numbits = 8 narrowrange = False inputs = tf.constant0, shape=2,3, dtype=tf.float32 min = tf.constant0,...

5.9CVSS6.9AI score0.00462EPSS
SaveExploits0References7
OSV
OSV
•added 2026/07/13 2:19 p.m.•11 views

PYSEC-2026-3183 TensorFlow vulnerable to segfault in `QuantizedInstanceNorm`

Impact If QuantizedInstanceNorm is given xmin or xmax 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 outputrangegiven = False givenymin = 0 givenymax = 0 varianceepsilon = 1e-05 minseparation = 0.001 x =...

5.9CVSS6.9AI score0.0051EPSS
SaveExploits0References7
OSV
OSV
•added 2026/07/13 2:19 p.m.•14 views

PYSEC-2026-3150 TensorFlow vulnerable to `CHECK` fail in `FakeQuantWithMinMaxVars`

Impact If FakeQuantWithMinMaxVars is given min or max tensors of a nonzero rank, it results in a CHECK fail that can be used to trigger a denial of service attack. python import tensorflow as tf numbits = 8 narrowrange = False inputs = tf.constant0, shape=2,3, dtype=tf.float32 min = tf.constant0,...

5.9CVSS6.1AI score0.00462EPSS
SaveExploits0References7
PyPA
PyPA
•added 2026/07/13 2:19 p.m.•20 views

TensorFlow vulnerable to segfault in `QuantizedAvgPool`

ImpactIf QuantizedAvgPool is given mininput or maxinput tensors of a nonzero rank, it results in a segfault that can be used to trigger a denial of service attack.pythonimport tensorflow as tfksize = 1, 2, 2, 1strides = 1, 2, 2, 1padding = "SAME"input = tf.constant1, shape=1,4,4,2,...

7.5CVSS6.9AI score0.00493EPSS
SaveExploits0References7Affected Software1
OSV
OSV
•added 2026/07/13 2:19 p.m.•14 views

PYSEC-2026-3244 TensorFlow vulnerable to segfault in `QuantizedAdd`

Impact If QuantizedAdd is given mininput or maxinput 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,...

5.9CVSS6.9AI score0.00493EPSS
SaveExploits0References7
PyPA
PyPA
•added 2026/07/13 2:19 p.m.•18 views

TensorFlow vulnerable to segfault in `QuantizedAdd`

ImpactIf QuantizedAdd is given mininput or maxinput tensors of a nonzero rank, it results in a segfault that can be used to trigger a denial of service attack.pythonimport tensorflow as tfToutput = tf.qint32x = tf.constant140, shape=1, dtype=tf.quint8y = tf.constant26, shape=10, dtype=tf.quint8mi...

7.5CVSS6.9AI score0.00493EPSS
SaveExploits0References7Affected Software1
PyPA
PyPA
•added 2026/07/13 2:19 p.m.•23 views

TensorFlow vulnerable to segfault in `QuantizedAdd`

ImpactIf QuantizedAdd is given mininput or maxinput tensors of a nonzero rank, it results in a segfault that can be used to trigger a denial of service attack.pythonimport tensorflow as tfToutput = tf.qint32x = tf.constant140, shape=1, dtype=tf.quint8y = tf.constant26, shape=10, dtype=tf.quint8mi...

7.5CVSS6.9AI score0.00493EPSS
SaveExploits0References7Affected Software1
PyPA
PyPA
•added 2026/07/13 2:19 p.m.•32 views

TensorFlow vulnerable to segfault in `QuantizedAvgPool`

ImpactIf QuantizedAvgPool is given mininput or maxinput tensors of a nonzero rank, it results in a segfault that can be used to trigger a denial of service attack.pythonimport tensorflow as tfksize = 1, 2, 2, 1strides = 1, 2, 2, 1padding = "SAME"input = tf.constant1, shape=1,4,4,2,...

7.5CVSS6.9AI score0.00493EPSS
SaveExploits0References7Affected Software1
OSV
OSV
•added 2026/07/13 2:19 p.m.•15 views

PYSEC-2026-3103 TensorFlow vulnerable to segfault in `QuantizedAvgPool`

Impact If QuantizedAvgPool is given mininput or maxinput 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 ksize = 1, 2, 2, 1 strides = 1, 2, 2, 1 padding = "SAME" input = tf.constant1, shape=1,4,4,2,...

5.9CVSS6.9AI score0.00493EPSS
SaveExploits0References7
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