Vulnerabilities (CVE)

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Filtered by CWE-20
Total 9170 CVE
CVE Vendors Products Updated CVSS v2 CVSS v3
CVE-2021-33620 3 Debian, Fedoraproject, Squid-cache 3 Debian Linux, Fedora, Squid 2022-06-03 4.0 MEDIUM 6.5 MEDIUM
Squid before 4.15 and 5.x before 5.0.6 allows remote servers to cause a denial of service (affecting availability to all clients) via an HTTP response. The issue trigger is a header that can be expected to exist in HTTP traffic without any malicious intent by the server.
CVE-2018-25031 1 Smartbear 1 Swagger Ui 2022-06-03 4.3 MEDIUM 4.3 MEDIUM
Swagger UI before 4.1.3 could allow a remote attacker to conduct spoofing attacks. By persuading a victim to open a crafted URL, an attacker could exploit this vulnerability to display remote OpenAPI definitions.
CVE-2022-29212 1 Google 1 Tensorflow 2022-06-03 2.1 LOW 5.5 MEDIUM
TensorFlow is an open source platform for machine learning. Prior to versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4, certain TFLite models that were created using TFLite model converter would crash when loaded in the TFLite interpreter. The culprit is that during quantization the scale of values could be greater than 1 but code was always assuming sub-unit scaling. Thus, since code was calling `QuantizeMultiplierSmallerThanOneExp`, the `TFLITE_CHECK_LT` assertion would trigger and abort the process. Versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4 contain a patch for this issue.
CVE-2022-29211 1 Google 1 Tensorflow 2022-06-03 2.1 LOW 5.5 MEDIUM
TensorFlow is an open source platform for machine learning. Prior to versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4, the implementation of `tf.histogram_fixed_width` is vulnerable to a crash when the values array contain `Not a Number` (`NaN`) elements. The implementation assumes that all floating point operations are defined and then converts a floating point result to an integer index. If `values` contains `NaN` then the result of the division is still `NaN` and the cast to `int32` would result in a crash. This only occurs on the CPU implementation. Versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4 contain a patch for this issue.
CVE-2022-29206 1 Google 1 Tensorflow 2022-06-02 2.1 LOW 5.5 MEDIUM
TensorFlow is an open source platform for machine learning. Prior to versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4, the implementation of `tf.raw_ops.SparseTensorDenseAdd` does not fully validate the input arguments. In this case, a reference gets bound to a `nullptr` during kernel execution. This is undefined behavior. Versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4 contain a patch for this issue.
CVE-2022-29204 1 Google 1 Tensorflow 2022-06-02 2.1 LOW 5.5 MEDIUM
TensorFlow is an open source platform for machine learning. Prior to versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4, the implementation of `tf.raw_ops.UnsortedSegmentJoin` does not fully validate the input arguments. This results in a `CHECK`-failure which can be used to trigger a denial of service attack. The code assumes `num_segments` is a positive scalar but there is no validation. Since this value is used to allocate the output tensor, a negative value would result in a `CHECK`-failure (assertion failure), as per TFSA-2021-198. Versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4 contain a patch for this issue.
CVE-2022-29202 1 Google 1 Tensorflow 2022-06-02 2.1 LOW 5.5 MEDIUM
TensorFlow is an open source platform for machine learning. Prior to versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4, the implementation of `tf.ragged.constant` does not fully validate the input arguments. This results in a denial of service by consuming all available memory. Versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4 contain a patch for this issue.
CVE-2022-29201 1 Google 1 Tensorflow 2022-06-02 2.1 LOW 5.5 MEDIUM
TensorFlow is an open source platform for machine learning. Prior to versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4, the implementation of `tf.raw_ops.QuantizedConv2D` does not fully validate the input arguments. In this case, references get bound to `nullptr` for each argument that is empty. Versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4 contain a patch for this issue.
CVE-2022-29207 1 Google 1 Tensorflow 2022-06-02 2.1 LOW 5.5 MEDIUM
TensorFlow is an open source platform for machine learning. Prior to versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4, multiple TensorFlow operations misbehave in eager mode when the resource handle provided to them is invalid. In graph mode, it would have been impossible to perform these API calls, but migration to TF 2.x eager mode opened up this vulnerability. If the resource handle is empty, then a reference is bound to a null pointer inside TensorFlow codebase (various codepaths). This is undefined behavior. Versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4 contain a patch for this issue.
CVE-2022-29200 1 Google 1 Tensorflow 2022-06-02 2.1 LOW 5.5 MEDIUM
TensorFlow is an open source platform for machine learning. Prior to versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4, the implementation of `tf.raw_ops.LSTMBlockCell` does not fully validate the input arguments. This results in a `CHECK`-failure which can be used to trigger a denial of service attack. The code does not validate the ranks of any of the arguments to this API call. This results in `CHECK`-failures when the elements of the tensor are accessed. Versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4 contain a patch for this issue.
CVE-2022-29192 1 Google 1 Tensorflow 2022-06-02 2.1 LOW 5.5 MEDIUM
TensorFlow is an open source platform for machine learning. Prior to versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4, the implementation of `tf.raw_ops.QuantizeAndDequantizeV4Grad` does not fully validate the input arguments. This results in a `CHECK`-failure which can be used to trigger a denial of service attack. Versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4 contain a patch for this issue.
CVE-2022-29194 1 Google 1 Tensorflow 2022-06-02 2.1 LOW 5.5 MEDIUM
TensorFlow is an open source platform for machine learning. Prior to versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4, the implementation of `tf.raw_ops.DeleteSessionTensor` does not fully validate the input arguments. This results in a `CHECK`-failure which can be used to trigger a denial of service attack. Versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4 contain a patch for this issue.
CVE-2022-29191 1 Google 1 Tensorflow 2022-06-02 2.1 LOW 5.5 MEDIUM
TensorFlow is an open source platform for machine learning. Prior to versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4, the implementation of `tf.raw_ops.GetSessionTensor` does not fully validate the input arguments. This results in a `CHECK`-failure which can be used to trigger a denial of service attack. Versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4 contain a patch for this issue.
CVE-2021-26630 2 Handysoft, Microsoft 2 Groupware, Windows 2022-06-01 7.5 HIGH 9.8 CRITICAL
Improper input validation vulnerability in HANDY Groupware’s ActiveX moudle allows attackers to download or execute arbitrary files. This vulnerability can be exploited by using the file download or execution path as the parameter value of the vulnerable function.
CVE-2021-26631 1 Mangboard 1 Commerce 2022-06-01 5.0 MEDIUM 7.5 HIGH
Improper input validation vulnerability in Mangboard commerce package could lead to occur for abnormal request. A remote attacker can exploit this vulnerability to manipulate the total order amount into a negative number and then pay for the order.
CVE-2021-26388 1 Amd 213 Epyc 7232p, Epyc 7232p Firmware, Epyc 7252 and 210 more 2022-06-01 4.9 MEDIUM 5.5 MEDIUM
Improper validation of the BIOS directory may allow for searches to read beyond the directory table copy in RAM, exposing out of bounds memory contents, resulting in a potential denial of service.
CVE-2015-0760 1 Cisco 1 Adaptive Security Appliance Software 2022-05-31 4.0 MEDIUM N/A
The IKEv1 implementation in Cisco ASA Software 7.x, 8.0.x, 8.1.x, and 8.2.x before 8.2.2.13 allows remote authenticated users to bypass XAUTH authentication via crafted IKEv1 packets, aka Bug ID CSCus47259.
CVE-2022-29199 1 Google 1 Tensorflow 2022-05-26 2.1 LOW 5.5 MEDIUM
TensorFlow is an open source platform for machine learning. Prior to versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4, the implementation of `tf.raw_ops.LoadAndRemapMatrix does not fully validate the input arguments. This results in a `CHECK`-failure which can be used to trigger a denial of service attack. The code assumes `initializing_values` is a vector but there is no validation for this before accessing its value. Versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4 contain a patch for this issue.
CVE-2022-29198 1 Google 1 Tensorflow 2022-05-26 2.1 LOW 5.5 MEDIUM
TensorFlow is an open source platform for machine learning. Prior to versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4, the implementation of `tf.raw_ops.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. The code assumes `dense_shape` is a vector and `indices` is a matrix (as part of requirements for sparse tensors) but there is no validation for this. Versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4 contain a patch for this issue.
CVE-2022-29197 1 Google 1 Tensorflow 2022-05-26 2.1 LOW 5.5 MEDIUM
TensorFlow is an open source platform for machine learning. Prior to versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4, the implementation of `tf.raw_ops.UnsortedSegmentJoin` does not fully validate the input arguments. This results in a `CHECK`-failure which can be used to trigger a denial of service attack. The code assumes `num_segments` is a scalar but there is no validation for this before accessing its value. Versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4 contain a patch for this issue.