[SECURITY] Fedora 44 Update: perl-Imager-1.033-1.fc44

Imager is a module for creating and altering images. It can read and write various image formats, draw primitive shapes like lines,and polygons, blend multiple images together in various ways, scale, crop, render text and more...

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...

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...

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...

PYSEC-2026-3306 TensorFlow vulnerable to `CHECK` fail in `FakeQuantWithMinMaxVarsPerChannel`

Impact If FakeQuantWithMinMaxVarsPerChannel is given min or max tensors of a rank other than one, 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=4, dtype=tf.float32 min ...

PYSEC-2026-3254 Integer overflow in Tensorflow

Impact The implementation of OpLevelCostEstimator::CalculateOutputSize is vulnerable to an integer overflow if an attacker can create an operation which would involve tensors with large enough number of elements: cc for const auto& dim : outputshape.dim outputsize = dim.size; Here, we can have a...

PYSEC-2026-3100 `CHECK`-failures in `TensorByteSize` in Tensorflow

Impact A malicious user can cause a denial of service by altering a SavedModel such that TensorByteSize would trigger CHECK failures. cc int64t TensorByteSizeconst TensorProto& t // numelements returns -1 if shape is not fully defined. int64t numelems = TensorShapet.tensorshape.numelements; retur...

PYSEC-2026-3230 `CHECK`-fails when building invalid tensor shapes in Tensorflow

Impact Multiple operations in TensorFlow can be used to trigger a denial of service via CHECK-fails i.e., assertion failures. This is similar to TFSA-2021-198 CVE-2021-41197 and has similar fixes. Patches We have patched the reported issues in multiple GitHub commits. It is possible that other...

PYSEC-2026-3193 Segfault in `simplifyBroadcast` in Tensorflow

Impact The simplifyBroadcast function in the MLIR-TFRT infrastructure in TensorFlow is vulnerable to a segfault hence, denial of service, if called with scalar shapes. cc sizet maxRank = 0; for auto shape : llvm::enumerateshapes auto foundshape = analysis.dimensionsForShapeTensorshape.value; if...

[SECURITY] Fedora 44 Update: perl-Imager-1.032-1.fc44

Imager is a module for creating and altering images. It can read and write various image formats, draw primitive shapes like lines,and polygons, blend multiple images together in various ways, scale, crop, render text and more...

CVE-2025-71356

picklescan before 0.0.28 fails to detect malicious torch.fx.experimental.symbolicshapes.ShapeEnv.evaluateguardsexpression function calls in pickle files. Attackers can embed undetected code in pickle files that executes remote code when loaded by victims...

EUVD-2025-210415

picklescan before 0.0.28 fails to detect malicious torch.fx.experimental.symbolicshapes.ShapeEnv.evaluateguardsexpression function calls in pickle files. Attackers can embed undetected code in pickle files that executes remote code when loaded by victims...

[SECURITY] Fedora 44 Update: thorvg-1.0.6-1.fc44

ThorVG is an open-source graphics library designed for creating vector-based scenes and animations. It combines immense power with remarkable lightweight efficiency, as Thor embodies a dual meaning=E2=80=94symbolizing both thundero us strength and lightning-fast agility. Embracing the philosophy ...

[SECURITY] Fedora 43 Update: thorvg-1.0.6-1.fc43

ThorVG is an open-source graphics library designed for creating vector-based scenes and animations. It combines immense power with remarkable lightweight efficiency, as Thor embodies a dual meaning=E2=80=94symbolizing both thundero us strength and lightning-fast agility. Embracing the philosophy ...

[SECURITY] Fedora 44 Update: perl-Imager-1.031-1.fc44

Imager is a module for creating and altering images. It can read and write various image formats, draw primitive shapes like lines,and polygons, blend multiple images together in various ways, scale, crop, render text and more...

CVE-2026-9277 shell-quote `quote()` does not validate object-token shapes, allowing command injection via line terminators in `.op`

shell-quote's quote function did not validate object-token inputs against the operator model used by parse. The .op field was backslash-escaped character by character using /./g, which in JavaScript does not match line terminators \n, \r, U+2028, U+2029. A line terminator in .op therefore passed...

Astra Linux – Vulnerability in Graphviz

A buffer overflow in the Graphviz Graph Visualization Tools, starting from the commit ID f8b9e035 and earlier, allows remote attackers to execute arbitrary code or cause a denial of service application crash by loading a crafted file into the "lib/common/shapes.c" component...

📄 Keras 3.13.0 Malicious ML Model Server HDF5 Shape Bomb

This script is a Flask-based web server that distributes .keras machine learning model files, but it is designed in a malicious way for security research/testing scenarios. The main idea is a denial of service via memory exhaustion, where generated Keras models contain artificially declared...

Keras 3.13.0 HDF5 Shape Fuzzing for Robustness Testing

This script performs fuzz testing against Keras version 3.13.0 on randomly generated tensor shapes using NumPy and HDF5 to evaluate stability and error handling in file creation workflows...

Keras 3.13.0 Bulk Generator for Large-Scale HDF5 Shape Test Models

This script is a parallel batch generator designed to create multiple .keras model files using a thread pool. Each file is generated with a predefined set of large tensor shapes intended for stress testing or memory-impact evaluation in HDF5/Keras workflows...