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IBM UrbanCode Deploy (UCD) 7.1 - 7.1.2.12, 7.2 through 7.2.3.5, and 7.3 through 7.3.2.0 under certain configurations could allow an authenticated user to make changes to environment variables due to improper authentication controls. IBM X-Force ID: 263581.
IBM GSKit-Crypto could allow a remote attacker to obtain sensitive information, caused by a timing-based side channel in the RSA Decryption implementation. By sending an overly large number of trial messages for decryption, an attacker could exploit this vulnerability to obtain sensitive information. IBM X-Force ID: 257132.
IBM Robotic Process Automation 21.0.0 through 21.0.7.1 and 23.0.0 through 23.0.1 is vulnerable to incorrect privilege assignment when importing users from an LDAP directory. IBM X-Force ID: 262481.
IBM InfoSphere Information Server 11.7 is vulnerable to cross-site request forgery which could allow an attacker to execute malicious and unauthorized actions transmitted from a user that the website trusts. IBM X-Force ID: 245400.
# Microsoft Security Advisory CVE-2024-21386: .NET Denial of Service Vulnerability ## <a name="executive-summary"></a>Executive summary Microsoft is releasing this security advisory to provide information about a vulnerability in ASP.NET 6.0, ASP.NET 7.0 and, ASP.NET 8.0 . This advisory also provides guidance on what developers can do to update their applications to address this vulnerability. A vulnerability exists in ASP.NET applications using SignalR where a malicious client can result in a denial-of-service. ## Announcement Announcement for this issue can be found at https://github.com/dotnet/announcements/issues/295 ### <a name="mitigation-factors"></a>Mitigation factors Microsoft has not identified any mitigating factors for this vulnerability. ## <a name="affected-software"></a>Affected software * Any .NET 6.0 application running on .NET 6.0.26 or earlier. * Any .NET 7.0 application running on .NET 7.0.15 or earlier. * Any .NET 8.0 application running on .NET 8.0.1 or ...
TensorFlow is an open source platform for machine learning. When `tf.quantization.fake_quant_with_min_max_vars_gradient` receives input `min` or `max` that is nonscalar, it gives a `CHECK` fail that can trigger a denial of service attack. We have patched the issue in GitHub commit f3cf67ac5705f4f04721d15e485e192bb319feed. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. There are no known workarounds for this issue.
### Impact When `SetSize` receives an input `set_shape` that is not a 1D tensor, it gives a `CHECK` fails that can be used to trigger a denial of service attack. ```python import tensorflow as tf arg_0=1 arg_1=[1,1] arg_2=1 arg_3=True arg_4='' tf.raw_ops.SetSize(set_indices=arg_0, set_values=arg_1, set_shape=arg_2, validate_indices=arg_3, name=arg_4) ``` ### Patches We have patched the issue in GitHub commit [cf70b79d2662c0d3c6af74583641e345fc939467](https://github.com/tensorflow/tensorflow/commit/cf70b79d2662c0d3c6af74583641e345fc939467). The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. ### For more information Please consult [our security guide](https://github.com/tensorflow/tensorflow/blob/master/SECURITY.md) for more information regarding the security model and how to contact us with issues and questions. ##...
A flaw was found in StarWind Stack. The endpoint for setting a new password doesn’t check the current username and old password. An attacker could reset any local user password (including system/administrator user) using any available user This affects StarWind SAN and NAS v0.2 build 1633.
TensorFlow is an open source platform for machine learning. `DenseBincount` assumes its input tensor `weights` to either have the same shape as its input tensor `input` or to be length-0. A different `weights` shape will trigger a `CHECK` fail that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit bf4c14353c2328636a18bfad1e151052c81d5f43. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. There are no known workarounds for this issue.
Jenkins OWASP Dependency-Check Plugin 5.4.5 and earlier does not escape vulnerability metadata from Dependency-Check reports, resulting in a stored cross-site scripting (XSS) vulnerability.