CVE-2026-81528

CVE-2026-81528 affects the MongoDB C# driver , where the document-replacement code path omits the element-name/shape validation applied by equivalent write paths. This allows NoSQL injection : an application passing untrusted, loosely-typed input as a replacement value can have that input interpr...

NoSQL injection via array replacement bypassing update shape validation in driver write path

A MongoDB C driver document-replacement code path omits the element-name/shape validation that the equivalent write paths apply, so a value supplied as a replacement is forwarded to the server without neutralization of query-language special elements. An application that passes untrusted,...

CVE-2026-81528 NoSQL injection via array replacement bypassing update shape validation in driver write path

A MongoDB C driver document-replacement code path omits the element-name/shape validation that the equivalent write paths apply, so a value supplied as a replacement is forwarded to the server without neutralization of query-language special elements. An application that passes untrusted,...

CVE-2026-12570

A flaw was found in Keras. When loading malicious .keras model files using the keras.models.loadmodel function, the H5IOStore.getitem method does not validate the shape or size of datasets. This can lead to unbounded memory allocation, allowing a malicious actor to trigger an out-of-memory...

PYSEC-2026-3350 Missing validation causes denial of service via `SparseTensorToCSRSparseMatrix`

Impact The implementation of tf.rawops.SparseTensorToCSRSparseMatrix does not fully validate the input arguments. This results in a CHECK-failure which can be used to trigger a denial of service attack: python import tensorflow as tf indices = tf.constant53, shape=3, dtype=tf.int64 values =...

PYSEC-2026-2019 vLLM vulnerable to DoS with incorrect shape of multimodal embedding inputs

Summary Users can crash the vLLM engine serving multimodal models by passing multimodal embedding inputs with correct ndim but incorrect shape e.g. hidden dimension is wrong, regardless of whether the model is intended to support such inputs as defined in the Supported Models page. The issue has...

PYSEC-2026-940 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"...

CVE-2026-9277

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...

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...

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...

EUVD-2021-0452

Malware in sbrugna...

CVE-2021-29568

TensorFlow is an end-to-end open source platform for machine learning. An attacker can trigger undefined behavior by binding to null pointer in tf.rawops.ParameterizedTruncatedNormal. This is because the...

CVE-2020-15196

In Tensorflow version 2.3.0, the SparseCountSparseOutput and RaggedCountSparseOutput implementations don't validate that the weights tensor has the same shape as the data. The check exists for DenseCountSparseOutput, where both tensors are fully specified. In the sparse and ragged count weights a...

kernel: HID: betop: check shape of output reports

In the Linux kernel, the following vulnerability has been resolved: HID: betop: check shape of output reports betopffinit only checks the total sum of the report counts for each report field to be at least 4, but hidbetopffplay expects 4 report fields. A device advertising an output report with o...

Stack Based Buffer Overflow

paddlepaddle is vulnerable to Stack Based Buffer Overflow. The vulnerability is caused due to impropper shape validation within the paddle.linalg.luunpack function. This can lead to crashing of the application resulting in Denial of Service DOS...

SUSE CVE-2020-15194

In Tensorflow before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, the SparseFillEmptyRowsGrad implementation has incomplete validation of the shapes of its arguments. Although reverseindexmapt and gradvaluest are accessed in a similar pattern, only reverseindexmapt is validated to be of proper...

SUSE CVE-2021-29521

TensorFlow is an end-to-end open source platform for machine learning. Specifying a negative dense shape in tf.rawops.SparseCountSparseOutput results in a segmentation fault being thrown out from the standard library as std::vector invariants are broken. This is because the...

SUSE CVE-2021-41206

TensorFlow is an open source platform for machine learning. In affected versions several TensorFlow operations are missing validation for the shapes of the tensor arguments involved in the call. Depending on the API, this can result in undefined behavior and segfault or CHECK-fail related crashes...

Denial Of Service (DoS)

tensorflow is vulnerable to denial of service. The vulnerability exists in TensorShapeFromTensor in listkernels.cc because the given element shape is not properly validated which allows an attacker to send element shape with more than one dimension causing an application crash...

GHSA-2475-53VW-VP25 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"...