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| CVE | Vendors | Products | Updated | CVSS v3.1 |
|---|---|---|---|---|
| CVE-2022-29207 | 1 Google | 1 Tensorflow | 2025-04-22 | 5.5 Medium |
| 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, multiple TensorFlow operations misbehave in eager mode when the resource handle provided to them is invalid. In graph mode, it would have been impossible to perform these API calls, but migration to TF 2.x eager mode opened up this vulnerability. If the resource handle is empty, then a reference is bound to a null pointer inside TensorFlow codebase (various codepaths). This is undefined behavior. Versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4 contain a patch for this issue. | ||||
| CVE-2022-29206 | 1 Google | 1 Tensorflow | 2025-04-22 | 5.5 Medium |
| 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.SparseTensorDenseAdd` does not fully validate the input arguments. In this case, a reference gets bound to a `nullptr` during kernel execution. This is undefined behavior. Versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4 contain a patch for this issue. | ||||
| CVE-2022-29205 | 1 Google | 1 Tensorflow | 2025-04-22 | 5.5 Medium |
| 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. | ||||
| CVE-2022-29208 | 1 Google | 1 Tensorflow | 2025-04-22 | 7.1 High |
| 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. | ||||
| CVE-2022-29203 | 1 Google | 1 Tensorflow | 2025-04-22 | 5.5 Medium |
| 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. | ||||
| CVE-2022-29202 | 1 Google | 1 Tensorflow | 2025-04-22 | 5.5 Medium |
| 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. | ||||
| CVE-2022-29201 | 1 Google | 1 Tensorflow | 2025-04-22 | 5.5 Medium |
| 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. | ||||
| CVE-2022-29212 | 1 Google | 1 Tensorflow | 2025-04-22 | 5.5 Medium |
| 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. | ||||
| CVE-2022-29211 | 1 Google | 1 Tensorflow | 2025-04-22 | 5.5 Medium |
| 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. | ||||
| CVE-2022-29209 | 1 Google | 1 Tensorflow | 2025-04-22 | 5.5 Medium |
| 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. | ||||
| CVE-2022-29213 | 1 Google | 1 Tensorflow | 2025-04-22 | 5.5 Medium |
| 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. | ||||
| CVE-2022-29216 | 1 Google | 1 Tensorflow | 2025-04-22 | 7.8 High |
| 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. | ||||
| CVE-2022-30999 | 1 Friendsofflarum | 1 Upload | 2025-04-22 | 8.7 High |
| 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. | ||||
| CVE-2022-31004 | 1 Mitre | 1 Cve-services | 2025-04-22 | 7.5 High |
| 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. | ||||
| CVE-2022-31002 | 2 Debian, Signalwire | 2 Debian Linux, Sofia-sip | 2025-04-22 | 7.5 High |
| 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. | ||||
| CVE-2022-31003 | 2 Debian, Signalwire | 2 Debian Linux, Sofia-sip | 2025-04-22 | 9.1 Critical |
| 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. | ||||
| CVE-2022-29245 | 1 Ssh.net Project | 1 Ssh.net | 2025-04-22 | 6.5 Medium |
| 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 `[email protected]` key exchange algorithms. | ||||
| CVE-2022-31005 | 1 Vapor | 1 Vapor | 2025-04-22 | 7.5 High |
| 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. | ||||
| CVE-2022-31015 | 1 Agendaless | 1 Waitress | 2025-04-22 | 6.5 Medium |
| 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. | ||||
| CVE-2022-31000 | 1 Nebulab | 1 Solidus | 2025-04-22 | 2.3 Low |
| 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. | ||||