55 matches found
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'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"...
GHSA-84JM-4CF3-9JFM TensorFlow vulnerable to `CHECK` failures in `FractionalAvgPoolGrad`
Impact The implementation of FractionalAvgPoolGrad does not fully validate the input originputtensorshape. 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 overlapping = True originputtensorshape =...
CVE-2022-35968
TensorFlow is an open source platform for machine learning. 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. We have patched the issue in GitHub commit...
CVE-2022-35963
TensorFlow is an open source platform for machine learning. The implementation of FractionalAvgPoolGrad does not fully validate the input originputtensorshape. This results in an overflow that results in a CHECK failure which can be used to trigger a denial of service attack. We have patched the...
Google TensorFlow 安全漏洞
Google TensorFlow is a suite of end-to-end open source platforms for machine learning from Google, Inc. in the United States. Google TensorFlow suffers from a security vulnerability that stems from an implementation of FractionalAvgPoolGrad that does not fully validate the input...
GHSA-MG66-QVC5-RM93 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-2022-131
Tensorflow is an Open Source Machine Learning Framework. The implementations of SparseCwise ops are vulnerable to integer overflows. These can be used to trigger large allocations so, OOM based denial of service or CHECK-fails when building new TensorShape objects so, assert failures based denial...
PYSEC-2022-132
Tensorflow is an Open Source Machine Learning Framework. The implementation of AddManySparseToTensorsMap is vulnerable to an integer overflow which results in a CHECK-fail when building new TensorShape objects so, an assert failure based denial of service. We are missing some validation on the...
CVE-2022-23567
Tensorflow is an Open Source Machine Learning Framework. The implementations of SparseCwise ops are vulnerable to integer overflows. These can be used to trigger large allocations so, OOM based denial of service or CHECK-fails when building new TensorShape objects so, assert failures based denial...