| CVE |
Vendors |
Products |
Updated |
CVSS v3.1 |
| 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, there is a potential for segfault / denial of service in TensorFlow by calling `tf.compat.v1.*` ops which don't yet have support for quantized types, which was added after migration to TensorFlow 2.x. In these scenarios, since the kernel is missing, a `nullptr` value is passed to `ParseDimensionValue` for the `py_value` argument. Then, this is dereferenced, resulting in segfault. Versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4 contain a patch for this issue. |
| 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 implementation of `tf.raw_ops.EditDistance` has incomplete validation. Users can pass negative values to cause a segmentation fault based denial of service. In multiple places throughout the code, one may compute an index for a write operation. However, the existing validation only checks against the upper bound of the array. Hence, it is possible to write before the array by massaging the input to generate negative values for `loc`. Versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4 contain a patch for this issue. |
| 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 implementation of `tf.raw_ops.SpaceToBatchND` (in all backends such as XLA and handwritten kernels) is vulnerable to an integer overflow: The result of this integer overflow is used to allocate the output tensor, hence we get a denial of service via a `CHECK`-failure (assertion failure), as in TFSA-2021-198. Versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4 contain a patch for this issue. |
| 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 implementation of `tf.ragged.constant` does not fully validate the input arguments. This results in a denial of service by consuming all available memory. Versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4 contain a patch for this issue. |
| 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 implementation of `tf.raw_ops.QuantizedConv2D` does not fully validate the input arguments. In this case, references get bound to `nullptr` for each argument that is empty. Versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4 contain a patch for this issue. |
| 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, certain TFLite models that were created using TFLite model converter would crash when loaded in the TFLite interpreter. The culprit is that during quantization the scale of values could be greater than 1 but code was always assuming sub-unit scaling. Thus, since code was calling `QuantizeMultiplierSmallerThanOneExp`, the `TFLITE_CHECK_LT` assertion would trigger and abort the process. Versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4 contain a patch for this issue. |
| 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 implementation of `tf.histogram_fixed_width` is vulnerable to a crash when the values array contain `Not a Number` (`NaN`) elements. The implementation assumes that all floating point operations are defined and then converts a floating point result to an integer index. If `values` contains `NaN` then the result of the division is still `NaN` and the cast to `int32` would result in a crash. This only occurs on the CPU implementation. Versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4 contain a patch for this issue. |
| 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 macros that TensorFlow uses for writing assertions (e.g., `CHECK_LT`, `CHECK_GT`, etc.) have an incorrect logic when comparing `size_t` and `int` values. Due to type conversion rules, several of the macros would trigger incorrectly. Versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4 contain a patch for this issue. |
| 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. |
| 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, TensorFlow's `saved_model_cli` tool is vulnerable to a code injection. This can be used to open a reverse shell. This code path was maintained for compatibility reasons as the maintainers had several test cases where numpy expressions were used as arguments. However, given that the tool is always run manually, the impact of this is still not severe. The maintainers have now removed the `safe=False` argument, so all parsing is done without calling `eval`. The patch is available in versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4. |
| FriendsofFlarum (FoF) Upload is an extension that handles file uploads intelligently for your forum. If FoF Upload prior to version 1.2.3 is configured to allow the uploading of SVG files ('image/svg+xml'), navigating directly to an SVG file URI could execute arbitrary Javascript code decided by an attacker. This Javascript code could include the execution of HTTP web requests to Flarum, or any other web service. This could allow data to be leaked by an authenticated Flarum user, or, possibly, for data to be modified maliciously. This issue has been patched with v1.2.3, which now sanitizes uploaded SVG files. As a workaround, remove the ability for users to upload SVG files through FoF Upload. |
| CVEProject/cve-services is an open source project used to operate the CVE services API. A conditional in 'data.js' has potential for production secrets to be written to disk. The affected method writes the generated randomKey to disk if the environment is not development. If this method were called in production, it is possible that it would write the plaintext key to disk. A patch is not available as of time of publication but is anticipated as a "hot fix" for version 1.1.1 and for the 2.x branch. |
| Sofia-SIP is an open-source Session Initiation Protocol (SIP) User-Agent library. Prior to version 1.13.8, an attacker can send a message with evil sdp to FreeSWITCH, which may cause a crash. This type of crash may be caused by a URL ending with `%`. Version 1.13.8 contains a patch for this issue. |
| Sofia-SIP is an open-source Session Initiation Protocol (SIP) User-Agent library. Prior to version 1.13.8, when parsing each line of a sdp message, `rest = record + 2` will access the memory behind `\0` and cause an out-of-bounds write. An attacker can send a message with evil sdp to FreeSWITCH, causing a crash or more serious consequence, such as remote code execution. Version 1.13.8 contains a patch for this issue. |
| SSH.NET is a Secure Shell (SSH) library for .NET. In versions 2020.0.0 and 2020.0.1, during an `X25519` key exchange, the client’s private key is generated with `System.Random`. `System.Random` is not a cryptographically secure random number generator, it must therefore not be used for cryptographic purposes. When establishing an SSH connection to a remote host, during the X25519 key exchange, the private key is generated with a weak random number generator whose seed can be brute forced. This allows an attacker who is able to eavesdrop on the communications to decrypt them. Version 2020.0.2 contains a patch for this issue. As a workaround, one may disable support for `curve25519-sha256` and `curve25519-sha256@libssh.org` key exchange algorithms. |
| Vapor is an HTTP web framework for Swift. Users of Vapor prior to version 4.60.3 with FileMiddleware enabled are vulnerable to an integer overflow vulnerability that can crash the application. Version 4.60.3 contains a patch for this issue. As a workaround, disable FileMiddleware and serve via a Content Delivery Network. |
| Waitress is a Web Server Gateway Interface server for Python 2 and 3. Waitress versions 2.1.0 and 2.1.1 may terminate early due to a thread closing a socket while the main thread is about to call select(). This will lead to the main thread raising an exception that is not handled and then causing the entire application to be killed. This issue has been fixed in Waitress 2.1.2 by no longer allowing the WSGI thread to close the socket. Instead, that is always delegated to the main thread. There is no work-around for this issue. However, users using waitress behind a reverse proxy server are less likely to have issues if the reverse proxy always reads the full response. |
| solidus_backend is the admin interface for the Solidus e-commerce framework. Versions prior to 3.1.6, 3.0.6, and 2.11.16 contain a cross-site request forgery (CSRF) vulnerability. The vulnerability allows attackers to change the state of an order's adjustments if they hold its number, and the execution happens on a store administrator's computer. Users should upgrade to solidus_backend 3.1.6, 3.0.6, or 2.11.16 to receive a patch. |
| MinIO is a multi-cloud object storage solution. Starting with version RELEASE.2019-09-25T18-25-51Z and ending with version RELEASE.2022-06-02T02-11-04Z, MinIO is vulnerable to an unending go-routine buildup while keeping connections established due to HTTP clients not closing the connections. Public-facing MinIO deployments are most affected. Users should upgrade to RELEASE.2022-06-02T02-11-04Z to receive a patch. One possible workaround is to use a reverse proxy to limit the number of connections being attempted in front of MinIO, and actively rejecting connections from such malicious clients. |
| django-s3file is a lightweight file upload input for Django and Amazon S3 . In versions prior to 5.5.1 it was possible to traverse the entire AWS S3 bucket and in most cases to access or delete files. If the `AWS_LOCATION` setting was set, traversal was limited to that location only. The issue was discovered by the maintainer. There were no reports of the vulnerability being known to or exploited by a third party, prior to the release of the patch. The vulnerability has been fixed in version 5.5.1 and above. There is no feasible workaround. We must urge all users to immediately updated to a patched version. |
