CVE’s

TensorFlow is an open source platform for machine learning. In affected versions if `tf.tile` is called with a large input argument then the TensorFlow process will crash due to a `CHECK`-failure caused by an overflow. The number of elements in the output tensor is too much for the `int64_t` type and the overflow is detected via a `CHECK` statement. This aborts the process. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range.

TensorFlow is an open source platform for machine learning. In affected versions TensorFlow allows tensor to have a large number of dimensions and each dimension can be as large as desired. However, the total number of elements in a tensor must fit within an `int64_t`. If an overflow occurs, `MultiplyWithoutOverflow` would return a negative result. In the majority of TensorFlow codebase this then results in a `CHECK`-failure. Newer constructs exist which return a `Status` instead of crashing the binary. This is similar to CVE-2021-29584. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range.

TensorFlow is an open source platform for machine learning. In affected versions the Keras pooling layers can trigger a segfault if the size of the pool is 0 or if a dimension is negative. This is due to the TensorFlow's implementation of pooling operations where the values in the sliding window are not checked to be strictly positive. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range.

TensorFlow is an open source platform for machine learning. In affected versions the implementation of `tf.math.segment_*` operations results in a `CHECK`-fail related abort (and denial of service) if a segment id in `segment_ids` is large. This is similar to CVE-2021-29584 (and similar other reported vulnerabilities in TensorFlow, localized to specific APIs): the implementation (both on CPU and GPU) computes the output shape using `AddDim`. However, if the number of elements in the tensor overflows an `int64_t` value, `AddDim` results in a `CHECK` failure which provokes a `std::abort`. Instead, code should use `AddDimWithStatus`. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range.

FirstUseAuthenticator is a JupyterHub authenticator that helps new users set their password on their first login to JupyterHub. When JupyterHub is used with FirstUseAuthenticator, a vulnerability in versions prior to 1.0.0 allows unauthorized access to any user's account if `create_users=True` and the username is known or guessed. One may upgrade to version 1.0.0 or apply a patch manually to mitigate the vulnerability. For those who cannot upgrade, there is no complete workaround, but a partial mitigation exists. One can disable user creation with `c.FirstUseAuthenticator.create_users = False`, which will only allow login with fully normalized usernames for already existing users prior to jupyterhub-firstuserauthenticator 1.0.0. If any users have never logged in with their normalized username (i.e. lowercase), they will still be vulnerable until a patch or upgrade occurs.

wire-avs is the audio visual signaling (AVS) component of Wire, an open-source messenger. A remote format string vulnerability in versions prior to 7.1.12 allows an attacker to cause a denial of service or possibly execute arbitrary code. The issue has been fixed in wire-avs 7.1.12. There are currently no known workarounds.

Redash is a package for data visualization and sharing. If an admin sets up Redash versions 10.0.0 and prior without explicitly specifying the `REDASH_COOKIE_SECRET` or `REDASH_SECRET_KEY` environment variables, a default value is used for both that is the same across all installations. In such cases, the instance is vulnerable to attackers being able to forge sessions using the known default value. This issue only affects installations where the `REDASH_COOKIE_SECRET or REDASH_SECRET_KEY` environment variables have not been explicitly set. This issue does not affect users of the official Redash cloud images, Redash's Digital Ocean marketplace droplets, or the scripts in the `getredash/setup` repository. These instances automatically generate unique secret keys during installation. One can verify whether one's instance is affected by checking the value of the `REDASH_COOKIE_SECRET` environment variable. If it is `c292a0a3aa32397cdb050e233733900f`, should follow the steps to secure the instance, outlined in the GitHub Security Advisory.

Roblox-Purchasing-Hub is an open source Roblox product purchasing hub. A security risk in versions 1.0.1 and prior allowed people who have someone's API URL to get product files without an API key. This issue is fixed in version 1.0.2. As a workaround, add `@require_apikey` in `BOT/lib/cogs/website.py` under the route for `/v1/products`.

The OCI Distribution Spec project defines an API protocol to facilitate and standardize the distribution of content. In the OCI Distribution Specification version 1.0.0 and prior, the Content-Type header alone was used to determine the type of document during push and pull operations. Documents that contain both “manifests” and “layers” fields could be interpreted as either a manifest or an index in the absence of an accompanying Content-Type header. If a Content-Type header changed between two pulls of the same digest, a client may interpret the resulting content differently. The OCI Distribution Specification has been updated to require that a mediaType value present in a manifest or index match the Content-Type header used during the push and pull operations. Clients pulling from a registry may distrust the Content-Type header and reject an ambiguous document that contains both “manifests” and “layers” fields or “manifests” and “config” fields if they are unable to update to version 1.0.1 of the spec.

bookstack is vulnerable to Improper Access Control