CWE-330

Deeplearning4J is a suite of tools for deploying and training deep learning models using the JVM. Packages org.deeplearning4j:dl4j-examples and org.deeplearning4j:platform-tests through version 1.0.0-M2.1 may use some unclaimed S3 buckets in tests in examples. This is likely affect people who use some older NLP examples that reference an old S3 bucket. The problem has been patched. Users should upgrade to snapshots as Deeplearning4J plan to publish a release with the fix at a later date. As a workaround, download a word2vec google news vector from a new source using git lfs from here.

totd before 1.5.3 does not properly randomize mesg IDs.

Improper identifier creation logic in Find My Mobile prior to version 7.2.24.12 allows attacker to identify the device.

Use of insufficiently random values vulnerability exists in Vnet/IP communication module VI461 of YOKOGAWA Wide Area Communication Router (WAC Router) AW810D, which may allow a remote attacker to cause denial-of-service (DoS) condition by sending a specially crafted packet.

Argo CD is a declarative, GitOps continuous delivery tool for Kubernetes. All versions of Argo CD starting with v0.11.0 are vulnerable to a variety of attacks when an SSO login is initiated from the Argo CD CLI or UI. The vulnerabilities are due to the use of insufficiently random values in parameters in Oauth2/OIDC login flows. In each case, using a relatively-predictable (time-based) seed in a non-cryptographically-secure pseudo-random number generator made the parameter less random than required by the relevant spec or by general best practices. In some cases, using too short a value made the entropy even less sufficient. The attacks on login flows which are meant to be mitigated by these parameters are difficult to accomplish but can have a high impact potentially granting an attacker admin access to Argo CD. Patches for this vulnerability has been released in the following Argo CD versions: v2.4.1, v2.3.5, v2.2.10 and v2.1.16. There are no known workarounds for this vulnerability.

RabbitMQ is a multi-protocol messaging and streaming broker. In affected versions the shovel and federation plugins perform URI obfuscation in their worker (link) state. The encryption key used to encrypt the URI was seeded with a predictable secret. This means that in case of certain exceptions related to Shovel and Federation plugins, reasonably easily deobfuscatable data could appear in the node log. Patched versions correctly use a cluster-wide secret for that purpose. This issue has been addressed and Patched versions: `3.10.2`, `3.9.18`, `3.8.32` are available. Users unable to upgrade should disable the Shovel and Federation plugins.