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IBM Security Verify Information Queue 10.0.2 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: 230814.
IBM Spectrum Protect Operations Center 8.1.0.000 through 8.1.14 could allow a remote attacker to gain details of the database, such as type and version, by sending a specially-crafted HTTP request. This information could then be used in future attacks. IBM X-Force ID: 226940.
IBM CICS TX Standard 11.1, Advanced 10.1, 11.1, and TXSeries for Multiplatforms 8.1, 8.2, 9.1 are vulnerable to cross-site scripting. This vulnerability allows users to embed arbitrary JavaScript code in the Web UI thus altering the intended functionality potentially leading to credentials disclosure within a trusted session. IBM X-Force ID: 266059.
IBM CICS TX Standard 11.1, Advanced 10.1, 11.1, and TXSeries for Multiplatforms 8.1, 8.2, 9.1 are 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: 266057.
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. ##...
drivers/input/serio/i8042.c in the Linux kernel before 4.12.4 allows attackers to cause a denial of service (NULL pointer dereference and system crash) or possibly have unspecified other impact because the port->exists value can change after it is validated.
IBM QRadar WinCollect Agent 10.0 though 10.1.3 could allow a local user to execute commands on the system due to execution with unnecessary privileges. IBM X-Force ID: 248156.
IBM TXSeries for Multiplatforms 8.1, 8.2, 9.1, CICS TX Standard, 11.1, CICS TX Advanced 10.1, and 11.1 could allow a privileged user to obtain highly sensitive information by enabling debug mode. IBM X-Force ID: 257104.
IBM TXSeries for Multiplatforms, 8.1, 8.2, and 9.1, CICS TX Standard CICS TX Advanced 10.1 and 11.1 could allow a privileged user to cause a denial of service due to uncontrolled resource consumption. IBM X-Force ID: 266016.