gradient-untangler

gradient-untangler A local research harness that searches for the exact tokens that make an open-weight language model start its answer the way you specify. Open-weight models ship as ordinary files: config.json, a tokenizer, and one or more .safetensors or .bin shards. A Hugging Face id is only ...

Astra Linux – Vulnerability in libvncserver

LibVNCClient is a library for easy implementation of a VNC client. In versions 0.9.15 and earlier, LibVNCClient’s Tight encoding decoder used fixed-size 2048-pixel scratch buffers for the Gradient filter. However, it did not reject Tight rectangles whose width exceeded 2048 pixels. A malicious VN...

Astra Linux – Vulnerability in LibreOffice

LibreOffice can import EMF+ graphics, which may be embedded in documents. A heap buffer overflow occurred when importing an EMF+ gradient brush. The number of gradient blend points was read from the file and used to compute an allocation size; however, this multiplication could lead to a buffer...

MGASA-2026-0315 Updated libvncserver packages fix security vulnerabilities

The updated packages fix security vulnerabilities: Heap Out-of-Bounds Read in HandleUltraZipBPP due to unchecked subrectangle count. CVE-2026-32853 NULL pointer dereferences in httpd proxy handlers via malformed CONNECT/GET requests. CVE-2026-32854 LibVNCClient Tight Gradient decoding allows...

MGASA-2026-0259 Updated libreoffice packages fix security vulnerabilities

The updated packages fix security vulnerabilities: Heap buffer overflow in DXF polyline import. CVE-2026-6039 Heap use-after-free in ODF number-format blank-width parsing. CVE-2026-6040 Heap buffer overflow in EMF+ gradient brush import. CVE-2026-6045 Stack buffer overflow in PPT presentation...

Updated libreoffice packages fix security vulnerabilities

The updated packages fix security vulnerabilities: Heap buffer overflow in DXF polyline import. CVE-2026-6039 Heap use-after-free in ODF number-format blank-width parsing. CVE-2026-6040 Heap buffer overflow in EMF+ gradient brush import. CVE-2026-6045 Stack buffer overflow in PPT presentation...

TensorFlow has Heap-buffer-overflow in AvgPoolGrad

Impactpythonimport osos.environ'TFENABLEONEDNNOPTS' = '0'import tensorflow as tfprinttf.versionwith tf.device"CPU": ksize = 1, 40, 128, 1 strides = 1, 128, 128, 30 padding = "SAME" dataformat = "NHWC" originputshape = 11, 9, 78, 9 grad = tf.saturatecasttf.random.uniform16, 16, 16, 16, minval=-128...

PYSEC-2026-3366 TensorFlow has Floating Point Exception in AvgPoolGrad with XLA

Impact If the stride and window size are not positive for tf.rawops.AvgPoolGrad, it can give an FPE. python import tensorflow as tf import numpy as np @tf.functionjitcompile=True def test: y = tf.rawops.AvgPoolGradoriginputshape=1,0,0,0, grad=0.39117979, ksize=1,0,0,0, strides=1,0,0,0,...

PYSEC-2026-3268 Overflow in `ResizeNearestNeighborGrad`

Impact When tf.rawops.ResizeNearestNeighborGrad is given a large size input, it overflows. import tensorflow as tf aligncorners = True halfpixelcenters = False grads = tf.constant1, shape=1,8,16,3, dtype=tf.float16 size = tf.constant1879048192,1879048192, shape=2, dtype=tf.int32...

`CHECK` fail via inputs in `SparseFillEmptyRowsGrad`

ImpactIf SparseFillEmptyRowsGrad is given empty inputs, TensorFlow will crash.pythonimport tensorflow as tftf.rawops.SparseFillEmptyRowsGrad reverseindexmap=, gradvalues=, name=None PatchesWe have patched the issue in GitHub commit af4a6a3c8b95022c351edae94560acc61253a1b8.The fix will be included...

PYSEC-2026-3338 TensorFlow vulnerable to `CHECK` fail in `FakeQuantWithMinMaxVarsPerChannelGradient`

Impact When tf.quantization.fakequantwithminmaxvarsperchannelgradient 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 arg0=tf.random.uniformshape=1,1, dtype=tf.float32, maxval=None...

PYSEC-2026-3083 TensorFlow vulnerable to `CHECK` fail in `AvgPoolGrad`

Impact The implementation of AvgPoolGrad does not fully validate the input originputshape. This results in a CHECK failure which 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 = "VALID" dataformat = "NHWC"...

PYSEC-2026-3318 TensorFlow vulnerable to segfault in `BlockLSTMGradV2`

Impact The implementation of BlockLSTMGradV2 does not fully validate its inputs. - wci, wcf, wco, b must be rank 1 - w, csprev, hprev must be rank 2 - x must be rank 3 This results in a a segfault that can be used to trigger a denial of service attack. python import tensorflow as tf usepeephole =...

TensorFlow vulnerable to segfault in `BlockLSTMGradV2`

ImpactThe implementation of BlockLSTMGradV2 does not fully validate its inputs. - wci, wcf, wco, b must be rank 1 - w, csprev, hprev must be rank 2 - x must be rank 3This results in a a segfault that can be used to trigger a denial of service attack.pythonimport tensorflow as tfusepeephole =...

PYSEC-2026-3257 TensorFlow vulnerable to `CHECK` failures in `AvgPool3DGrad`

Impact The implementation of AvgPool3DGradOp does not fully validate the input originputshape. 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 ksize = 1, 1, 1, 1, 1 strides = 1, 1, 1, 1, 1 padding ...

TensorFlow vulnerable to `CHECK` fail in `FakeQuantWithMinMaxVarsGradient`

ImpactWhen tf.quantization.fakequantwithminmaxvarsgradient receives input min or max that is nonscalar, it gives a CHECK fail that can trigger a denial of service attack.pythonimport tensorflow as tfimport numpy as np arg0=tf.constantvalue=np.random.randomsize=2, 2, shape=2, 2,...

TensorFlow vulnerable to `CHECK` fail in `FakeQuantWithMinMaxVarsGradient`

ImpactWhen tf.quantization.fakequantwithminmaxvarsgradient receives input min or max that is nonscalar, it gives a CHECK fail that can trigger a denial of service attack.pythonimport tensorflow as tfimport numpy as np arg0=tf.constantvalue=np.random.randomsize=2, 2, shape=2, 2,...

PYSEC-2026-3364 TensorFlow vulnerable to `CHECK` fail in `FakeQuantWithMinMaxVarsGradient`

Impact When tf.quantization.fakequantwithminmaxvarsgradient 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 arg0=tf.constantvalue=np.random.randomsize=2, 2, shape=2, 2, dtype=tf.float...

PT-2026-59994

Impact The implementation of AvgPool3DGradOp does not fully validate the input orig input 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 ksize = 1, 1, 1, 1, 1 strides = 1, 1, 1, 1, 1 paddin...

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...