`CHECK` fail in `Conv2DBackpropInput` in TensorFlow

TensorFlow is an open source platform for machine learning. When `Conv2DBackpropInput` receives empty `out_backprop` inputs (e.g. `[3, 1, 0, 1]`), the current CPU/GPU kernels `CHECK` fail (one with dnnl, the other with cudnn). This can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 27a65a43cf763897fecfa5cdb5cc653fc5dd0346. 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.

Adobe ColdFusion Solr Service XML External Entity Processing Arbitrary file system read

Adobe ColdFusion versions Update 14 (and earlier) and Update 4 (and earlier) are affected by an Improper Restriction of XML External Entity Reference ('XXE') vulnerability that could result in arbitrary file system read. Exploitation of this issue does not require user interaction.

Adobe ColdFusion Improper Restriction of XML External Entity Reference Arbitrary file system read

Adobe ColdFusion versions Update 14 (and earlier) and Update 4 (and earlier) are affected by an Improper Restriction of XML External Entity Reference ('XXE') vulnerability that could result in arbitrary file system read. Exploitation of this issue does not require user interaction.

user session persists even after permanently deleting account in GLPI

GLPI stands for Gestionnaire Libre de Parc Informatique. GLPI is a Free Asset and IT Management Software package that provides ITIL Service Desk features, licenses tracking and software auditing. Deleted/deactivated user could continue to use their account as long as its cookie is valid. This issue has been patched, please upgrade to version 10.0.4. There are currently no known workarounds.

Issue with fine-grained access control of indices backing data streams

OpenSearch is a community-driven, open source fork of Elasticsearch and Kibana. There is an issue with the implementation of fine-grained access control rules (document-level security, field-level security and field masking) where they are not correctly applied to the indices that back data streams potentially leading to incorrect access authorization. OpenSearch 1.3.7 and 2.4.0 contain a fix for this issue. Users are advised to update. There are no known workarounds for this issue.

Jenkins Plot Plugin 2.1.11 and earlier does not configure its XML parser to prevent XML external entity (XXE) attacks.

An XML external entity (XXE) injection vulnerability in Kwoksys Kwok Information Server before v2.9.5.SP31 allows remote authenticated users to conduct server-side request forgery (SSRF) attacks.

An issue in SurveyKing v1.3.1 allows attackers to execute a session replay attack after a user changes their password.

SurveyKing v1.3.1 was discovered to keep users' sessions active after logout. Related to an incomplete fix for CVE-2022-25590.

An issue in SurveyKing v1.3.1 allows attackers to escalate privileges via re-using the session ID of a user that was deleted by an Admin.

`CHECK`-failures in binary ops in Tensorflow

Tensorflow is an Open Source Machine Learning Framework. A malicious user can cause a denial of service by altering a `SavedModel` such that any binary op would trigger `CHECK` failures. This occurs when the protobuf part corresponding to the tensor arguments is modified such that the `dtype` no longer matches the `dtype` expected by the op. In that case, calling the templated binary operator for the binary op would receive corrupted data, due to the type confusion involved. If `Tin` and `Tout` don't match the type of data in `out` and `input_*` tensors then `flat<*>` would interpret it wrongly. In most cases, this would be a silent failure, but we have noticed scenarios where this results in a `CHECK` crash, hence a denial of service. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.

Multiple `CHECK`-fails in `function.cc` in Tensorflow

Tensorflow is an Open Source Machine Learning Framework. A malicious user can cause a denial of service by altering a `SavedModel` such that assertions in `function.cc` would be falsified and crash the Python interpreter. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.

`CHECK`-fails due to attempting to build a reference tensor in Tensorflow

Tensorflow is an Open Source Machine Learning Framework. A malicious user can cause a denial of service by altering a `SavedModel` such that Grappler optimizer would attempt to build a tensor using a reference `dtype`. This would result in a crash due to a `CHECK`-fail in the `Tensor` constructor as reference types are not allowed. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.

`CHECK`-failures during Grappler's `SafeToRemoveIdentity` in Tensorflow

Tensorflow is an Open Source Machine Learning Framework. The Grappler optimizer in TensorFlow can be used to cause a denial of service by altering a `SavedModel` such that `SafeToRemoveIdentity` would trigger `CHECK` failures. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.

Crash when type cannot be specialized in Tensorflow

Tensorflow is an Open Source Machine Learning Framework. Under certain scenarios, TensorFlow can fail to specialize a type during shape inference. This case is covered by the `DCHECK` function however, `DCHECK` is a no-op in production builds and an assertion failure in debug builds. In the first case execution proceeds to the `ValueOrDie` line. This results in an assertion failure as `ret` contains an error `Status`, not a value. In the second case we also get a crash due to the assertion failure. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, and TensorFlow 2.6.3, as these are also affected and still in supported range.

Null-dereference in Tensorflow

Tensorflow is an Open Source Machine Learning Framework. When decoding a tensor from protobuf, TensorFlow might do a null-dereference if attributes of some mutable arguments to some operations are missing from the proto. This is guarded by a `DCHECK`. However, `DCHECK` is a no-op in production builds and an assertion failure in debug builds. In the first case execution proceeds to the dereferencing of the null pointer, whereas in the second case it results in a crash due to the assertion failure. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, and TensorFlow 2.6.3, as these are also affected and still in supported range.

Insufficient Session Expiration in Sylius

Sylius is an open source eCommerce platform. Prior to versions 1.10.11 and 1.11.2, the reset password token was not set to null after the password was changed. The same token could be used several times, which could result in leak of the existing token and unauthorized password change. The issue is fixed in versions 1.10.11 and 1.11.2. As a workaround, overwrite the `Sylius\Bundle\ApiBundle\CommandHandler\ResetPasswordHandler` class with code provided by the maintainers and register it in a container. More information about this workaround is available in the GitHub Security Advisory.

In JetBrains IntelliJ IDEA before 2022.3 an XXE attack leading to SSRF via requests to custom plugin repositories was possible.

Incomplete validation in signal ops leads to crashes in TensorFlow

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 `tf.compat.v1.signal.rfft2d` and `tf.compat.v1.signal.rfft3d` lack input validation and under certain condition can result in crashes (due to `CHECK`-failures). Versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4 contain a patch for this issue.

Open5GS before 2.7.1 is vulnerable to a reachable assertion that can cause an AMF crash via NAS messages from a UE: gmm_state_authentication in amf/gmm-sm.c for != OGS_ERROR.