Malicious code in ml-linear-regression-lib (PyPI)

--- Credit: OpenSSF source...

PYSEC-2026-3189 TensorFlow has Null Pointer Error in RandomShuffle with XLA enable

Impact NPE in RandomShuffle with XLA enable python import tensorflow as tf func = tf.rawops.RandomShuffle para = 'value': 1e+20, 'seed': -4294967297, 'seed2': -2147483649 @tf.functionjitcompile=True def test: y = funcpara return y test Patches We have patched the issue in GitHub commit...

TensorFlow has Null Pointer Error in RandomShuffle with XLA enable

ImpactNPE in RandomShuffle with XLA enable pythonimport tensorflow as tffunc = tf.rawops.RandomShufflepara = 'value': 1e+20, 'seed': -4294967297, 'seed2': [email protected]=Truedef test: y = funcpara return ytest PatchesWe have patched the issue in GitHub commit...

PYSEC-2026-3287 TensorFlow has null dereference on ParallelConcat with XLA

Impact When running with XLA, tf.rawops.ParallelConcat segfaults with a nullptr dereference when given a parameter shape with rank that is not greater than zero. python import tensorflow as tf func = tf.rawops.ParallelConcat para = 'shape': 0, 'values': 1 @tf.functionjitcompile=True def test: y =...

TensorFlow has null dereference on ParallelConcat with XLA

ImpactWhen running with XLA, tf.rawops.ParallelConcat segfaults with a nullptr dereference when given a parameter shape with rank that is not greater than zero.pythonimport tensorflow as tffunc = tf.rawops.ParallelConcatpara = 'shape': 0, 'values': [email protected]=Truedef test: y = funcpa...

PT-2026-59896

Impact FPE in TensorListSplit with XLA python import tensorflow as tf func = tf.raw ops.TensorListSplit para = 'tensor': 1, 'element shape': -1, 'lengths': 0 @tf.functionjit compile=True def fuzz jit: y = funcpara return y printfuzz jit Patches We have patched the issue in GitHub commit...

TensorFlow has Floating Point Exception in AvgPoolGrad with XLA

ImpactIf the stride and window size are not positive for tf.rawops.AvgPoolGrad, it can give an FPE.pythonimport tensorflow as tfimport numpy as [email protected]=Truedef test: y = tf.rawops.AvgPoolGradoriginputshape=1,0,0,0, grad=0.39117979, ksize=1,0,0,0, strides=1,0,0,0, padding="SAME",...

TensorFlow has Floating Point Exception in TensorListSplit with XLA

ImpactFPE in TensorListSplit with XLA pythonimport tensorflow as tffunc = tf.rawops.TensorListSplitpara = 'tensor': 1, 'elementshape': -1, 'lengths': [email protected]=Truedef fuzzjit: y = funcpara return yprintfuzzjit PatchesWe have patched the issue in GitHub commit...

PYSEC-2026-967 TensorFlow has Segfault in Bincount with XLA

Impact When running with XLA, tf.rawops.Bincount segfaults when given a parameter weights that is neither the same shape as parameter arr nor a length-0 tensor. python import tensorflow as tf func = tf.rawops.Bincount para='arr': 6, 'size': 804, 'weights': 52, 351 @tf.functionjitcompile=True def...

[SECURITY] Fedora 44 Update: leptonica-1.87.0-4.fc44

The library supports many operations that are useful on Document images Natural images Fundamental image processing and image analysis operations Rasterop aka bitblt Affine transforms scaling, translation, rotation, shear on images of arbitrary pixel depth Projective and bi-linear transforms Bina...

SUSE CVE-2026-45822

decode-uri-component through 0.4.1 is vulnerable to denial of service. The decode function splits input on '%' producing N tokens and calls decodeComponents, exhibiting super-linear parsing time: 200 '%ab' tokens takes approximately 0.7s, 700 tokens approximately 6s, and 1400 tokens approximately...

K000161990: Go vulnerability CVE-2025-61723

Security Advisory Description The processing time for parsing some invalid inputs scales non-linearly with respect to the size of the input. This affects programs which parse untrusted PEM inputs. CVE-2025-61723 Impact An attacker may be able to cause an increase in resource utilization, which...

AZL-92075 CVE-2026-45822 affecting package js-jquery 3.5.0-4

decode-uri-component through 0.4.1 is vulnerable to denial of service. The decode function splits input on '%' producing N tokens and calls decodeComponents, exhibiting super-linear parsing time: 200 '%ab' tokens takes approximately 0.7s, 700 tokens approximately 6s, and 1400 tokens approximately...

CVE-2026-45822

decode-uri-component through 0.4.1 is vulnerable to denial of service. The decode function splits input on '%' producing N tokens and calls decodeComponents, exhibiting super-linear parsing time: 200 '%ab' tokens takes approximately 0.7s, 700 tokens approximately 6s, and 1400 tokens approximately...

CVE-2026-45822

decode-uri-component through 0.4.1 is vulnerable to denial of service. The decode function splits input on '%' producing N tokens and calls decodeComponents, exhibiting super-linear parsing time: 200 '%ab' tokens takes approximately 0.7s, 700 tokens approximately 6s, and 1400 tokens approximately...

CVE-2026-45822

decode-uri-component through 0.4.1 is vulnerable to denial of service. The decode function splits input on '%' producing N tokens and calls decodeComponents, exhibiting super-linear parsing time: 200 '%ab' tokens takes approximately 0.7s, 700 tokens approximately 6s, and 1400 tokens approximately...

CVE-2026-45822

decode-uri-component through 0.4.1 is vulnerable to denial of service. The decode function splits input on '%' producing N tokens and calls decodeComponents, exhibiting super-linear parsing time: 200 '%ab' tokens takes approximately 0.7s, 700 tokens approximately 6s, and 1400 tokens approximately...

PT-2026-53825

Name of the Vulnerable Software and Affected Versions decode-uri-component versions 0.4.1 and earlier Description A denial of service issue exists where the decode function splits input based on the '%' character, creating N tokens that are then processed by decodeComponents. This process results...

CVE-2026-45822: Uncontrolled Resource Consumption

decode-uri-component through 0.4.1 is vulnerable to denial of service. The decode function splits input on '%' producing N tokens and calls decodeComponents, exhibiting super-linear parsing time: 200 '%ab' tokens takes approximately 0.7s, 700 tokens approximately 6s, and 1400 tokens approximately...

CVE-2026-53235

A flaw was found in the Linux kernel's network Generic Receive Offload GRO handling. An attacker sending specially crafted network packets could trigger a bug in the skbgroreceivelist function. This occurs when the system attempts to process network data that is not in the expected linear memory...