Search Results (24300 CVEs found)

CVE Vendors Products Updated CVSS v3.1
CVE-2022-24725 1 Shescape Project 1 Shescape 2025-04-22 6.2 Medium
Shescape is a shell escape package for JavaScript. An issue in versions 1.4.0 to 1.5.1 allows for exposure of the home directory on Unix systems when using Bash with the `escape` or `escapeAll` functions from the _shescape_ API with the `interpolation` option set to `true`. Other tested shells, Dash and Zsh, are not affected. Depending on how the output of _shescape_ is used, directory traversal may be possible in the application using _shescape_. The issue was patched in version 1.5.1. As a workaround, manually escape all instances of the tilde character (`~`) using `arg.replace(/~/g, "\\~")`.
CVE-2022-24737 2 Fedoraproject, Httpie 2 Fedora, Httpie 2025-04-22 6.5 Medium
HTTPie is a command-line HTTP client. HTTPie has the practical concept of sessions, which help users to persistently store some of the state that belongs to the outgoing requests and incoming responses on the disk for further usage. Before 3.1.0, HTTPie didn‘t distinguish between cookies and hosts they belonged. This behavior resulted in the exposure of some cookies when there are redirects originating from the actual host to a third party website. Users are advised to upgrade. There are no known workarounds.
CVE-2022-24853 1 Metabase 1 Metabase 2025-04-22 5.9 Medium
Metabase is an open source business intelligence and analytics application. Metabase has a proxy to load arbitrary URLs for JSON maps as part of our GeoJSON support. While we do validation to not return contents of arbitrary URLs, there is a case where a particularly crafted request could result in file access on windows, which allows enabling an `NTLM relay attack`, potentially allowing an attacker to receive the system password hash. If you use Windows and are on this version of Metabase, please upgrade immediately. The following patches (or greater versions) are available: 0.42.4 and 1.42.4, 0.41.7 and 1.41.7, 0.40.8 and 1.40.8.
CVE-2022-24861 1 Databasir 1 Databasir 2025-04-22 9.9 Critical
Databasir is a team-oriented relational database model document management platform. Databasir 1.01 has remote code execution vulnerability. JDBC drivers are not validated prior to use and may be provided by users of the system. This can lead to code execution by any basic user who has access to the system. Users are advised to upgrade. There are no known workarounds to this issue.
CVE-2022-24865 1 Humhub 1 Humhub 2025-04-22 6.5 Medium
HumHub is an Open Source Enterprise Social Network. In affected versions users who are forced to change their password by an administrator may retrieve other users' data. This issue has been resolved by commit `eb83de20`. It is recommended that the HumHub is upgraded to 1.11.0, 1.10.4 or 1.9.4. There are no known workarounds for this issue.
CVE-2022-24881 1 Ballcat 1 Codegen 2025-04-22 8.8 High
Ballcat Codegen provides the function of online editing code to generate templates. In versions prior to 1.0.0.beta.2, attackers can implement remote code execution through malicious code injection of the template engine. This happens because Velocity and freemarker templates are introduced but input verification is not done. The fault is rectified in version 1.0.0.beta.2.
CVE-2022-24890 1 Nextcloud 1 Talk 2025-04-22 2.4 Low
Nextcloud Talk is a video and audio conferencing app for Nextcloud. In versions prior to 13.0.5 and 14.0.0, a call moderator can indirectly enable user webcams by granting permissions, if they were enabled before removing the permissions. A patch is available in versions 13.0.5 and 14.0.0. There are currently no known workarounds.
CVE-2022-24906 1 Nextcloud 1 Deck 2025-04-22 3.5 Low
Nextcloud Deck is a Kanban-style project & personal management tool for Nextcloud, similar to Trello. The full path of the application is exposed to unauthorized users. It is recommended that the Nextcloud Deck app is upgraded to 1.2.11, 1.4.6, or 1.5.4. There is no workaround available.
CVE-2022-29192 1 Google 1 Tensorflow 2025-04-22 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-2022-29191 1 Google 1 Tensorflow 2025-04-22 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-2022-29194 1 Google 1 Tensorflow 2025-04-22 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-2022-29193 1 Google 1 Tensorflow 2025-04-22 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.TensorSummaryV2` 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-2022-29200 1 Google 1 Tensorflow 2025-04-22 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-2022-29199 1 Google 1 Tensorflow 2025-04-22 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 2025-04-22 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-2022-29196 1 Google 1 Tensorflow 2025-04-22 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.Conv3DBackpropFilterV2` 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 that the `filter_sizes` argument is a vector. 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 2025-04-22 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.
CVE-2022-29195 1 Google 1 Tensorflow 2025-04-22 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.StagePeek` 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 `index` 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.
CVE-2022-29207 1 Google 1 Tensorflow 2025-04-22 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-2022-29206 1 Google 1 Tensorflow 2025-04-22 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.