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PyPA
PyPA
•added 2026/07/13 2:19 p.m.•26 views

TensorFlow vulnerable to `CHECK` fail in `RandomPoissonV2`

ImpactWhen RandomPoissonV2 receives large input shape and rates, it gives a CHECK fail that can trigger a denial of service attack.pythonimport tensorflow as tfarg0=tf.random.uniformshape=4,, dtype=tf.int32, maxval=65536arg1=tf.random.uniformshape=4, 4, 4, 4, 4, dtype=tf.float32,...

7.5CVSS6.9AI score0.00478EPSS
SaveExploits0References7Affected Software1
PyPA
PyPA
•added 2026/07/13 2:19 p.m.•29 views

TensorFlow vulnerable to `CHECK` fail in `tf.random.gamma`

ImpactWhen tf.random.gamma receives large input shape and rates, it gives a CHECK fail that can trigger a denial of service attack.pythonimport tensorflow as tfarg0=tf.random.uniformshape=4,, dtype=tf.int32, maxval=65536arg1=tf.random.uniformshape=4, 4, dtype=tf.float64,...

7.5CVSS6.9AI score0.00488EPSS
SaveExploits0References7Affected Software1
OSV
OSV
•added 2026/07/13 2:19 p.m.•11 views

PYSEC-2026-3162 TensorFlow vulnerable to `CHECK` fail in `RandomPoissonV2`

Impact When RandomPoissonV2 receives large input shape and rates, it gives a CHECK fail that can trigger a denial of service attack. python import tensorflow as tf arg0=tf.random.uniformshape=4,, dtype=tf.int32, maxval=65536 arg1=tf.random.uniformshape=4, 4, 4, 4, 4, dtype=tf.float32, maxval=None...

5.9CVSS6.9AI score0.00478EPSS
SaveExploits0References7
OSV
OSV
•added 2026/07/13 2:19 p.m.•14 views

PYSEC-2026-3354 TensorFlow vulnerable to `CHECK` fail in `tf.random.gamma`

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 arg0=tf.random.uniformshape=4,, dtype=tf.int32, maxval=65536 arg1=tf.random.uniformshape=4, 4, dtype=tf.float64, maxval=None...

5.9CVSS6.9AI score0.00488EPSS
SaveExploits0References7
OSV
OSV
•added 2026/07/13 2:19 p.m.•12 views

PYSEC-2026-3218 TensorFlow vulnerable to `CHECK` fail in `tf.random.gamma`

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 arg0=tf.random.uniformshape=4,, dtype=tf.int32, maxval=65536 arg1=tf.random.uniformshape=4, 4, dtype=tf.float64, maxval=None...

5.9CVSS6.9AI score0.00488EPSS
SaveExploits0References7
PyPA
PyPA
•added 2026/07/13 2:19 p.m.•19 views

TensorFlow vulnerable to `CHECK` fail in `RandomPoissonV2`

ImpactWhen RandomPoissonV2 receives large input shape and rates, it gives a CHECK fail that can trigger a denial of service attack.pythonimport tensorflow as tfarg0=tf.random.uniformshape=4,, dtype=tf.int32, maxval=65536arg1=tf.random.uniformshape=4, 4, 4, 4, 4, dtype=tf.float32,...

7.5CVSS6.9AI score0.00478EPSS
SaveExploits0References7Affected Software1
PyPA
PyPA
•added 2026/07/13 2:19 p.m.•19 views

TensorFlow vulnerable to `CHECK` fail in `tf.random.gamma`

ImpactWhen tf.random.gamma receives large input shape and rates, it gives a CHECK fail that can trigger a denial of service attack.pythonimport tensorflow as tfarg0=tf.random.uniformshape=4,, dtype=tf.int32, maxval=65536arg1=tf.random.uniformshape=4, 4, dtype=tf.float64,...

7.5CVSS6.9AI score0.00488EPSS
SaveExploits0References7Affected Software1
OSV
OSV
•added 2026/07/13 2:19 p.m.•13 views

PYSEC-2026-3311 TensorFlow vulnerable to `CHECK` fail in `RandomPoissonV2`

Impact When RandomPoissonV2 receives large input shape and rates, it gives a CHECK fail that can trigger a denial of service attack. python import tensorflow as tf arg0=tf.random.uniformshape=4,, dtype=tf.int32, maxval=65536 arg1=tf.random.uniformshape=4, 4, 4, 4, 4, dtype=tf.float32, maxval=None...

5.9CVSS6.9AI score0.00478EPSS
SaveExploits0References7
RedhatCVE
RedhatCVE
•added 2026/07/13 1:20 p.m.•20 views

CVE-2026-60108

A flaw was found in Zeek. An uncontrolled memory consumption vulnerability in the FTP analyzer allows unauthenticated remote attackers to cause a denial of service. This occurs when a crafted FTP control session with a large ADAT control line is sent, exploiting the NVTAnalyzer component's lack o...

8.7CVSS6.1AI score0.00793EPSS
SaveExploits0References2
RedHat Linux
RedHat Linux
•added 2026/07/13 4:18 a.m.•26 views

ruby: net-imap: Net::IMAP: Denial of Service via crafted IMAP responses

A flaw was found in Net::IMAP, a Ruby library implementing the Internet Message Access Protocol IMAP client functionality. A hostile server can exploit a quadratic time complexity issue in the Net::IMAP::ResponseReader when processing large responses containing numerous string literals. This can...

7.5CVSS6AI score0.007EPSS
SaveExploits0References11
Positive Technologies
Positive Technologies
•added 2026/07/13 12:00 a.m.•15 views

PT-2026-59753

Impact tf.keras.losses.poisson receives a y pred and y true that are passed through functor::mul in BinaryOp. If the resulting dimensions overflow an int32, TensorFlow will crash due to a size mismatch during broadcast assignment. python import numpy as np import tensorflow as tf true value =...

7.5CVSS7AI score0.00474EPSS
SaveExploits1References9
Positive Technologies
Positive Technologies
•added 2026/07/13 12:00 a.m.•15 views

PT-2026-59779

Impact When RandomPoissonV2 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, 4, 4, 4, dtype=tf.float32, maxval=No...

7.5CVSS6.9AI score0.00478EPSS
SaveExploits0References8
Positive Technologies
Positive Technologies
•added 2026/07/13 12:00 a.m.•20 views

PT-2026-59648

Impact An attacker who uses this vulnerability can craft a PDF which leads to the RAM being exhausted. This requires accessing an image using /FlateDecode with large size values. Patches This has been fixed in pypdf==6.10.2. Workarounds If you cannot upgrade yet, consider applying the changes fro...

6.5CVSS6AI score0.00406EPSS
SaveExploits0References9
Positive Technologies
Positive Technologies
•added 2026/07/13 12:00 a.m.•14 views

PT-2026-59883

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...

7.5CVSS6.9AI score0.00474EPSS
SaveExploits1References8
Positive Technologies
Positive Technologies
•added 2026/07/13 12:00 a.m.•33 views

PT-2026-59638

Impact An attacker who uses this vulnerability can craft a PDF which leads to large memory usage. This requires extracting text in layout mode with large character offsets. Patches This has been fixed in pypdf==6.12.0. Workarounds If developers are unable to immediately upgrade, they should...

5.5CVSS6AI score0.00179EPSS
SaveExploits0References8
Positive Technologies
Positive Technologies
•added 2026/07/13 12:00 a.m.•17 views

PT-2026-59533

Summary The WSGI-based recipe registry server server.py reads the entire HTTP request body into memory based on the client-supplied Content-Length header with no upper bound. Combined with authentication being disabled by default no token configured, any local process can send arbitrarily large...

7.5CVSS6.2AI score0.0041EPSS
SaveExploits1References7
Positive Technologies
Positive Technologies
•added 2026/07/13 12:00 a.m.•21 views

PT-2026-59117

An issue was discovered in 6.0 before 6.0.3, 5.2 before 5.2.12, and 4.2 before 4.2.29. URLField.to python in Django calls urllib.parse.urlsplit, which performs NFKC normalization on Windows that is disproportionately slow for certain Unicode characters, allowing a remote attacker to cause denial ...

7.5CVSS7AI score0.01101EPSS
SaveExploits0References8
Positive Technologies
Positive Technologies
•added 2026/07/13 12:00 a.m.•20 views

PT-2026-59890

Impact When tf.raw ops.ImageProjectiveTransformV2 is given a large output shape, it overflows. python import tensorflow as tf interpolation = "BILINEAR" fill mode = "REFLECT" images = tf.constant0.184634328, shape=2,5,8,3, dtype=tf.float32 transforms = tf.constant0.378575385, shape=2,8,...

7.5CVSS6.9AI score0.00463EPSS
SaveExploits1References8
Positive Technologies
Positive Technologies
•added 2026/07/13 12:00 a.m.•15 views

PT-2026-59485

Summary The B44/B44A decoder in OpenEXR reconstructs row pointers into a scratch buffer using int. When the channel width nx is large enough, the product y nx overflows int, causing the row pointer to wrap before the start of the scratch buffer. Subsequent memcpy calls then write decoded pixel...

8.4CVSS7AI score0.0021EPSS
SaveExploits1References8
Positive Technologies
Positive Technologies
•added 2026/07/13 12:00 a.m.•15 views

PT-2026-59825

Impact If a numpy array is created with a shape such that one element is zero and the others sum to a large number, an error will be raised. E.g. the following raises an error: python np.ones0, 231, 231 An example of a proof of concept: python import numpy as np import tensorflow as tf input val ...

7.5CVSS6.9AI score0.00355EPSS
SaveExploits1References7
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