stasvinokur/cve-and-cwe-dataset-1999-2025 huggingface dataset:
CVE-2022-35941 (severity: HIGH, weakness: CWE-617)
TensorFlow is an open source platform for machine learning. The `AvgPoolOp` function takes an argument `ksize` that must be positive but is not checked. A negative `ksize` can trigger a `CHECK` failure and crash the program. We have patched the issue in GitHub commit 3a6ac52664c6c095aa2b114e742b0aa17fdce78f. 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 to this issue.
CVE-2022-35942 (severity: CRITICAL, weakness: CWE-89)
Improper input validation on the `contains` LoopBack filter may allow for arbitrary SQL injection. When the extended filter property `contains` is permitted to be interpreted by the Postgres connector, it is possible to inject arbitrary SQL which may affect the confidentiality and integrity of data stored on the connected database. A patch was released in version 5.5.1. This affects users who does any of the following: - Connect to the database via the DataSource with `allowExtendedProperties: true` setting OR - Uses the connector's CRUD methods directly OR - Uses the connector's other methods to interpret the LoopBack filter. Users who are unable to upgrade should do the following if applicable: - Remove `allowExtendedProperties: true` DataSource setting - Add `allowExtendedProperties: false` DataSource setting - When passing directly to the connector functions, manually sanitize the user input for the `contains` LoopBack filter beforehand.
CVE-2022-35943 (severity: HIGH, weakness: CWE-352)
Shield is an authentication and authorization framework for CodeIgniter 4. This vulnerability may allow [SameSite Attackers](https://canitakeyoursubdomain.name/) to bypass the [CodeIgniter4 CSRF protection](https://codeigniter4.github.io/userguide/libraries/security.html) mechanism with CodeIgniter Shield. For this attack to succeed, the attacker must have direct (or indirect, e.g., XSS) control over a subdomain site (e.g., `https://a.example.com/`) of the target site (e.g., `http://example.com/`). Upgrade to **CodeIgniter v4.2.3 or later** and **Shield v1.0.0-beta.2 or later**. As a workaround: set `Config\Security::$csrfProtection` to `'session,'`remove old session data right after login (immediately after ID and password match) and regenerate CSRF token right after login (immediately after ID and password match)
CVE-2022-35944 (severity: HIGH, weakness: CWE-94)
October is a self-hosted Content Management System (CMS) platform based on the Laravel PHP Framework. This vulnerability only affects installations that rely on the safe mode restriction, commonly used when providing public access to the admin panel. Assuming an attacker has access to the admin panel and permission to open the "Editor" section, they can bypass the Safe Mode (`cms.safe_mode`) restriction to introduce new PHP code in a CMS template using a specially crafted request. The issue has been patched in versions 2.2.34 and 3.0.66.
CVE-2022-35945 (severity: MEDIUM, weakness: CWE-79)
GLPI stands for Gestionnaire Libre de Parc Informatique and is a Free Asset and IT Management Software package, that provides ITIL Service Desk features, licenses tracking and software auditing. Information associated to registration key are not properly escaped in registration key configuration page. They can be used to steal a GLPI administrator cookie. Users are advised to upgrade to 10.0.3. There are no known workarounds for this issue. ### Workarounds Do not use a registration key created by an untrusted person.
CVE-2022-35946 (severity: MEDIUM, weakness: CWE-89)
GLPI stands for Gestionnaire Libre de Parc Informatique and is a Free Asset and IT Management Software package, that provides ITIL Service Desk features, licenses tracking and software auditing. In affected versions request input is not properly validated in the plugin controller and can be used to access low-level API of Plugin class. An attacker can, for instance, alter database data. Attacker must have "General setup" update rights to be able to perform this attack. Users are advised to upgrade to version 10.0.3. Users unable to upgrade should remove the `front/plugin.form.php` script.
CVE-2022-35947 (severity: CRITICAL, weakness: CWE-89)
GLPI stands for Gestionnaire Libre de Parc Informatique and is a Free Asset and IT Management Software package, that provides ITIL Service Desk features, licenses tracking and software auditing. Affected versions have been found to be vulnerable to a SQL injection attack which an attacker could leverage to simulate an arbitrary user login. Users are advised to upgrade to version 10.0.3. Users unable to upgrade should disable the `Enable login with external token` API configuration.
CVE-2022-35948 (severity: MEDIUM, weakness: CWE-74)
undici is an HTTP/1.1 client, written from scratch for Node.js.`=< undici@5.8.0` users are vulnerable to _CRLF Injection_ on headers when using unsanitized input as request headers, more specifically, inside the `content-type` header. Example: ``` import { request } from 'undici' const unsanitizedContentTypeInput = 'application/json\r\n\r\nGET /foo2 HTTP/1.1' await request('http://localhost:3000, { method: 'GET', headers: { 'content-type': unsanitizedContentTypeInput }, }) ``` The above snippet will perform two requests in a single `request` API call: 1) `http://localhost:3000/` 2) `http://localhost:3000/foo2` This issue was patched in Undici v5.8.1. Sanitize input when sending content-type headers using user input as a workaround.
CVE-2022-35949 (severity: CRITICAL, weakness: CWE-918)
undici is an HTTP/1.1 client, written from scratch for Node.js.`undici` is vulnerable to SSRF (Server-side Request Forgery) when an application takes in **user input** into the `path/pathname` option of `undici.request`. If a user specifies a URL such as `http://127.0.0.1` or `//127.0.0.1` ```js const undici = require("undici") undici.request({origin: "http://example.com", pathname: "//127.0.0.1"}) ``` Instead of processing the request as `http://example.org//127.0.0.1` (or `http://example.org/http://127.0.0.1` when `http://127.0.0.1 is used`), it actually processes the request as `http://127.0.0.1/` and sends it to `http://127.0.0.1`. If a developer passes in user input into `path` parameter of `undici.request`, it can result in an _SSRF_ as they will assume that the hostname cannot change, when in actual fact it can change because the specified path parameter is combined with the base URL. This issue was fixed in `undici@5.8.1`. The best workaround is to validate user input before passing it to the `undici.request` call.
CVE-2022-3595 (severity: MEDIUM, weakness: CWE-119)
A vulnerability was found in Linux Kernel. It has been rated as problematic. Affected by this issue is the function sess_free_buffer of the file fs/cifs/sess.c of the component CIFS Handler. The manipulation leads to double free. It is recommended to apply a patch to fix this issue. The identifier of this vulnerability is VDB-211364.
CVE-2022-35950 (severity: MEDIUM, weakness: CWE-79)
OroCommerce is an open-source Business to Business Commerce application. In versions 4.1.0 through 4.1.13, 4.2.0 through 4.2.10, 5.0.0 prior to 5.0.11, and 5.1.0 prior to 5.1.1, the JS payload added to the product name may be executed at the storefront when adding a note to the shopping list line item containing a vulnerable product. An attacker should be able to edit a product in the admin area and force a user to add this product to Shopping List and click add a note for it. Versions 5.0.11 and 5.1.1 contain a fix for this issue.
CVE-2022-35951 (severity: CRITICAL, weakness: CWE-190)
Redis is an in-memory database that persists on disk. Versions 7.0.0 and above, prior to 7.0.5 are vulnerable to an Integer Overflow. Executing an `XAUTOCLAIM` command on a stream key in a specific state, with a specially crafted `COUNT` argument may cause an integer overflow, a subsequent heap overflow, and potentially lead to remote code execution. This has been patched in Redis version 7.0.5. No known workarounds exist.
CVE-2022-35952 (severity: HIGH, weakness: CWE-617)
TensorFlow is an open source platform for machine learning. The `UnbatchGradOp` function takes an argument `id` that is assumed to be a scalar. A nonscalar `id` can trigger a `CHECK` failure and crash the program. It also requires its argument `batch_index` to contain three times the number of elements as indicated in its `batch_index.dim_size(0)`. An incorrect `batch_index` can trigger a `CHECK` failure and crash the program. We have patched the issue in GitHub commit 5f945fc6409a3c1e90d6970c9292f805f6e6ddf2. 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.
CVE-2022-35953 (severity: MEDIUM, weakness: CWE-601)
BookWyrm is a social network for tracking your reading, talking about books, writing reviews, and discovering what to read next. Some links in BookWyrm may be vulnerable to tabnabbing, a form of phishing that gives attackers an opportunity to redirect a user to a malicious site. The issue was patched in version 0.4.5.
CVE-2022-35954 (severity: MEDIUM, weakness: CWE-77)
The GitHub Actions ToolKit provides a set of packages to make creating actions easier. The `core.exportVariable` function uses a well known delimiter that attackers can use to break out of that specific variable and assign values to other arbitrary variables. Workflows that write untrusted values to the `GITHUB_ENV` file may cause the path or other environment variables to be modified without the intention of the workflow or action author. Users should upgrade to `@actions/core v1.9.1`. If you are unable to upgrade the `@actions/core` package, you can modify your action to ensure that any user input does not contain the delimiter `_GitHubActionsFileCommandDelimeter_` before calling `core.exportVariable`.
CVE-2022-35956 (severity: CRITICAL, weakness: CWE-89)
This Rails gem adds two methods to the ActiveRecord::Base class that allow you to update many records on a single database hit, using a case sql statement for it. Before version 0.1.3 `update_by_case` gem used custom sql strings, and it was not sanitized, making it vulnerable to sql injection. Upgrade to version >= 0.1.3 that uses `Arel` instead to construct the resulting sql statement, with sanitized sql.
CVE-2022-35957 (severity: MEDIUM, weakness: CWE-290)
Grafana is an open-source platform for monitoring and observability. Versions prior to 9.1.6 and 8.5.13 are vulnerable to an escalation from admin to server admin when auth proxy is used, allowing an admin to take over the server admin account and gain full control of the grafana instance. All installations should be upgraded as soon as possible. As a workaround deactivate auth proxy following the instructions at: https://grafana.com/docs/grafana/latest/setup-grafana/configure-security/configure-authentication/auth-proxy/
CVE-2022-35959 (severity: HIGH, weakness: CWE-617)
TensorFlow is an open source platform for machine learning. The implementation of `AvgPool3DGradOp` does not fully validate the input `orig_input_shape`. This results in an overflow that results in a `CHECK` failure which can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 9178ac9d6389bdc54638ab913ea0e419234d14eb. 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.
CVE-2022-3596 (severity: HIGH, weakness: CWE-402)
An information leak was found in OpenStack's undercloud. This flaw allows unauthenticated, remote attackers to inspect sensitive data after discovering the IP address of the undercloud, possibly leading to compromising private information, including administrator access credentials.
CVE-2022-35960 (severity: HIGH, weakness: CWE-617)
TensorFlow is an open source platform for machine learning. In `core/kernels/list_kernels.cc's TensorListReserve`, `num_elements` is assumed to be a tensor of size 1. When a `num_elements` of more than 1 element is provided, then `tf.raw_ops.TensorListReserve` fails the `CHECK_EQ` in `CheckIsAlignedAndSingleElement`. We have patched the issue in GitHub commit b5f6fbfba76576202b72119897561e3bd4f179c7. 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.
CVE-2022-35961 (severity: MEDIUM, weakness: CWE-354)
OpenZeppelin Contracts is a library for secure smart contract development. The functions `ECDSA.recover` and `ECDSA.tryRecover` are vulnerable to a kind of signature malleability due to accepting EIP-2098 compact signatures in addition to the traditional 65 byte signature format. This is only an issue for the functions that take a single `bytes` argument, and not the functions that take `r, v, s` or `r, vs` as separate arguments. The potentially affected contracts are those that implement signature reuse or replay protection by marking the signature itself as used rather than the signed message or a nonce included in it. A user may take a signature that has already been submitted, submit it again in a different form, and bypass this protection. The issue has been patched in 4.7.3.
CVE-2022-35962 (severity: MEDIUM, weakness: CWE-184)
Zulip is an open source team chat and Zulip Mobile is an app for iOS and Andriod users. In Zulip Mobile through version 27.189, a crafted link in a message sent by an authenticated user could lead to credential disclosure if a user follows the link. A patch was released in version 27.190.
CVE-2022-35963 (severity: HIGH, weakness: CWE-617)
TensorFlow is an open source platform for machine learning. The implementation of `FractionalAvgPoolGrad` does not fully validate the input `orig_input_tensor_shape`. This results in an overflow that results in a `CHECK` failure which can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 03a659d7be9a1154fdf5eeac221e5950fec07dad. 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.
CVE-2022-35964 (severity: HIGH, weakness: CWE-20)
TensorFlow is an open source platform for machine learning. The implementation of `BlockLSTMGradV2` does not fully validate its inputs. This results in a a segfault that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 2a458fc4866505be27c62f81474ecb2b870498fa. 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.
CVE-2022-35965 (severity: HIGH, weakness: CWE-476)
TensorFlow is an open source platform for machine learning. If `LowerBound` or `UpperBound` is given an empty`sorted_inputs` input, it results in a `nullptr` dereference, leading to a segfault that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit bce3717eaef4f769019fd18e990464ca4a2efeea. 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.
CVE-2022-35966 (severity: HIGH, weakness: CWE-20)
TensorFlow is an open source platform for machine learning. If `QuantizedAvgPool` is given `min_input` or `max_input` tensors of a nonzero rank, it results in a segfault that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 7cdf9d4d2083b739ec81cfdace546b0c99f50622. 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.
CVE-2022-35967 (severity: HIGH, weakness: CWE-20)
TensorFlow is an open source platform for machine learning. If `QuantizedAdd` is given `min_input` or `max_input` tensors of a nonzero rank, it results in a segfault that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 49b3824d83af706df0ad07e4e677d88659756d89. 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.
CVE-2022-35968 (severity: HIGH, weakness: CWE-617)
TensorFlow is an open source platform for machine learning. The implementation of `AvgPoolGrad` does not fully validate the input `orig_input_shape`. This results in a `CHECK` failure which can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 3a6ac52664c6c095aa2b114e742b0aa17fdce78f. 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.
CVE-2022-35969 (severity: HIGH, weakness: CWE-617)
TensorFlow is an open source platform for machine learning. The implementation of `Conv2DBackpropInput` requires `input_sizes` to be 4-dimensional. Otherwise, it gives a `CHECK` failure which can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 50156d547b9a1da0144d7babe665cf690305b33c. 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.
CVE-2022-3597 (severity: MEDIUM, weakness: CWE-787)
LibTIFF 4.4.0 has an out-of-bounds write in _TIFFmemcpy in libtiff/tif_unix.c:346 when called from extractImageSection, tools/tiffcrop.c:6826, allowing attackers to cause a denial-of-service via a crafted tiff file. For users that compile libtiff from sources, the fix is available with commit 236b7191.
CVE-2022-35970 (severity: HIGH, weakness: CWE-20)
TensorFlow is an open source platform for machine learning. If `QuantizedInstanceNorm` is given `x_min` or `x_max` tensors of a nonzero rank, it results in a segfault that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 785d67a78a1d533759fcd2f5e8d6ef778de849e0. 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.
CVE-2022-35971 (severity: HIGH, weakness: CWE-617)
TensorFlow is an open source platform for machine learning. If `FakeQuantWithMinMaxVars` is given `min` or `max` tensors of a nonzero rank, it results in a `CHECK` fail that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 785d67a78a1d533759fcd2f5e8d6ef778de849e0. 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.
CVE-2022-35972 (severity: HIGH, weakness: CWE-20)
TensorFlow is an open source platform for machine learning. If `QuantizedBiasAdd` is given `min_input`, `max_input`, `min_bias`, `max_bias` tensors of a nonzero rank, it results in a segfault that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 785d67a78a1d533759fcd2f5e8d6ef778de849e0. 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.
CVE-2022-35973 (severity: HIGH, weakness: CWE-20)
TensorFlow is an open source platform for machine learning. If `QuantizedMatMul` is given nonscalar input for: `min_a`, `max_a`, `min_b`, or `max_b` It gives a segfault that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit aca766ac7693bf29ed0df55ad6bfcc78f35e7f48. 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.
CVE-2022-35974 (severity: HIGH, weakness: CWE-20)
TensorFlow is an open source platform for machine learning. If `QuantizeDownAndShrinkRange` is given nonscalar inputs for `input_min` or `input_max`, it results in a segfault that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 73ad1815ebcfeb7c051f9c2f7ab5024380ca8613. 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.
CVE-2022-35975 (severity: CRITICAL, weakness: CWE-78)
The GitOps Tools Extension for VSCode can make it easier to manage Flux objects. A specially crafted Flux object may allow for remote code execution in the machine running the extension, in the context of the user that is running VSCode. Users using the VSCode extension to manage clusters that are shared amongst other users are affected by this issue. The only safe mitigation is to update to the latest version of the extension.
CVE-2022-35976 (severity: CRITICAL, weakness: CWE-78)
The GitOps Tools Extension for VSCode relies on kubeconfigs in order to communicate with Kubernetes clusters. A specially crafted kubeconfig leads to arbitrary code execution on behalf of the user running VSCode. Users relying on kubeconfigs that are generated or altered by other processes or users are affected by this issue. Please note that the vulnerability is specific to this extension, and the same kubeconfig would not result in arbitrary code execution when used with kubectl. Using only trust-worthy kubeconfigs is a safe mitigation. However, updating to the latest version of the extension is still highly recommended.
CVE-2022-35977 (severity: MEDIUM, weakness: CWE-190)
Redis is an in-memory database that persists on disk. Authenticated users issuing specially crafted `SETRANGE` and `SORT(_RO)` commands can trigger an integer overflow, resulting with Redis attempting to allocate impossible amounts of memory and abort with an out-of-memory (OOM) panic. The problem is fixed in Redis versions 7.0.8, 6.2.9 and 6.0.17. Users are advised to upgrade. There are no known workarounds for this vulnerability.
CVE-2022-35978 (severity: CRITICAL, weakness: CWE-693)
Minetest is a free open-source voxel game engine with easy modding and game creation. In **single player**, a mod can set a global setting that controls the Lua script loaded to display the main menu. The script is then loaded as soon as the game session is exited. The Lua environment the menu runs in is not sandboxed and can directly interfere with the user's system. There are currently no known workarounds.