alirezaaminzadeh/cve-riskrank huggingface dataset:
CVE-2022-35927 (published 2022-08-04)
Contiki-NG is an open-source, cross-platform operating system for IoT devices. In the RPL-Classic routing protocol implementation in the Contiki-NG operating system, an incoming DODAG Information Option (DIO) control message can contain a prefix information option with a length parameter. The value of the length parameter is not validated, however, and it is possible to cause a buffer overflow when copying the prefix in the set_ip_from_prefix function. This vulnerability affects anyone running a Contiki-NG version prior to 4.7 that can receive RPL DIO messages from external parties. To obtain a patched version, users should upgrade to Contiki-NG 4.7 or later. There are no workarounds for this issue.
Severity: CRITICAL (CVSS 3.1 vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H)
Weakness: CWE-120
Affected vendors: contiki-ng
Affected products: contiki-ng
CVE-2022-35928 (published 2022-08-03)
AES Crypt is a file encryption software for multiple platforms. AES Crypt for Linux built using the source on GitHub and having the version number 3.11 has a vulnerability with respect to reading user-provided passwords and confirmations via command-line prompts. Passwords lengths were not checked before being read. This vulnerability may lead to buffer overruns. This does _not_ affect source code found on aescrypt.com, nor is the vulnerability present when providing a password or a key via the `-p` or `-k` command-line options. The problem was fixed via in commit 68761851b and will be included in release 3.16. Users are advised to upgrade. Users unable to upgrade should us the `-p` or `-k` options to provide a password or key.
Severity: MEDIUM (CVSS 3.1 vector: CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:N)
Weakness: CWE-120
Affected vendors: aescrypt
Affected products: aes_crypt
CVE-2022-35929 (published 2022-08-04)
cosign is a container signing and verification utility. In versions prior to 1.10.1 cosign can report a false positive if any attestation exists. `cosign verify-attestation` used with the `--type` flag will report a false positive verification when there is at least one attestation with a valid signature and there are NO attestations of the type being verified (--type defaults to "custom"). This can happen when signing with a standard keypair and with "keyless" signing with Fulcio. This vulnerability can be reproduced with the `distroless.dev/static@sha256:dd7614b5a12bc4d617b223c588b4e0c833402b8f4991fb5702ea83afad1986e2` image. This image has a `vuln` attestation but not an `spdx` attestation. However, if you run `cosign verify-attestation --type=spdx` on this image, it incorrectly succeeds. This issue has been addressed in version 1.10.1 of cosign. Users are advised to upgrade. There are no known workarounds for this issue.
Severity: CRITICAL (CVSS 3.1 vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H)
Weakness: CWE-347
Affected vendors: sigstore
Affected products: cosign
CVE-2022-35930 (published 2022-08-04)
PolicyController is a utility used to enforce supply chain policy in Kubernetes clusters. In versions prior to 0.2.1 PolicyController will report a false positive, resulting in an admission when it should not be admitted when there is at least one attestation with a valid signature and there are NO attestations of the type being verified (--type defaults to "custom"). An example image that can be used to test this is `ghcr.io/distroless/static@sha256:dd7614b5a12bc4d617b223c588b4e0c833402b8f4991fb5702ea83afad1986e2`. Users should upgrade to version 0.2.1 to resolve this issue. There are no workarounds for users unable to upgrade.
Severity: HIGH (CVSS 3.1 vector: CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H)
Weakness: CWE-347
Affected vendors: sigstore
Affected products: policy_controller
CVE-2022-35931 (published 2022-09-06)
Nextcloud Password Policy is an app that enables a Nextcloud server admin to define certain rules for passwords. Prior to versions 22.2.10, 23.0.7, and 24.0.3 the random password generator may, in very rare cases, generate common passwords that the validator itself would block. Upgrade Nextcloud Server to 22.2.10, 23.0.7 or 24.0.3 to receive a patch for the issue in Password Policy. There are no known workarounds available.
Severity: LOW (CVSS 3.1 vector: CVSS:3.1/AV:N/AC:L/PR:H/UI:N/S:U/C:N/I:L/A:N)
Weakness: CWE-261
Affected vendors: nextcloud
Affected products: password_policy
CVE-2022-35932 (published 2022-08-12)
Nextcloud Talk is a video and audio conferencing app for Nextcloud. Prior to versions 12.2.7, 13.0.7, and 14.0.3, password protected conversations are susceptible to brute force attacks if the attacker has the link/conversation token. It is recommended that the Nextcloud Talk application is upgraded to 12.2.7, 13.0.7 or 14.0.3. There are currently no known workarounds available apart from not having password protected conversations.
Severity: MEDIUM (CVSS 3.1 vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:N/A:N)
Weakness: CWE-359
Affected vendors: nextcloud
Affected products: talk
CVE-2022-35933 (published 2022-09-02)
This package is a PrestaShop module that allows users to post reviews and rate products. There is a vulnerability where the attacker could steal an administrator's cookie. The issue is fixed in version 5.0.2.
Severity: MEDIUM (CVSS 3.1 vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:C/C:L/I:L/A:N)
Weakness: CWE-79
Affected vendors: prestashop
Affected products: productcomments
CVE-2022-35934 (published 2022-09-16)
TensorFlow is an open source platform for machine learning. The implementation of tf.reshape op in TensorFlow is vulnerable to a denial of service via CHECK-failure (assertion failure) caused by overflowing the number of elements in a tensor. This issue has been patched in GitHub commit 61f0f9b94df8c0411f0ad0ecc2fec2d3f3c33555. 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.
Severity: HIGH (CVSS 3.1 vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H)
Weakness: CWE-617
Affected vendors: google
Affected products: tensorflow
CVE-2022-35935 (published 2022-09-16)
TensorFlow is an open source platform for machine learning. The implementation of SobolSampleOp is vulnerable to a denial of service via CHECK-failure (assertion failure) caused by assuming `input(0)`, `input(1)`, and `input(2)` to be scalar. This issue has been patched in GitHub commit c65c67f88ad770662e8f191269a907bf2b94b1bf. 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.
Severity: HIGH (CVSS 3.1 vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H)
Weakness: CWE-617
Affected vendors: google
Affected products: tensorflow
CVE-2022-35936 (published 2022-08-05)
Ethermint is an Ethereum library. In Ethermint running versions before `v0.17.2`, the contract `selfdestruct` invocation permanently removes the corresponding bytecode from the internal database storage. However, due to a bug in the `DeleteAccount`function, all contracts that used the identical bytecode (i.e shared the same `CodeHash`) will also stop working once one contract invokes `selfdestruct`, even though the other contracts did not invoke the `selfdestruct` OPCODE. This vulnerability has been patched in Ethermint version v0.18.0. The patch has state machine-breaking changes for applications using Ethermint, so a coordinated upgrade procedure is required. A workaround is available. If a contract is subject to DoS due to this issue, the user can redeploy the same contract, i.e. with identical bytecode, so that the original contract's code is recovered. The new contract deployment restores the `bytecode hash -> bytecode` entry in the internal state.
Severity: MEDIUM (CVSS 3.1 vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:L)
Weakness: CWE-668
Affected vendors: crypto, evmos, kava
Affected products: cronos, ethermint, evmos, kava
CVE-2022-35937 (published 2022-09-16)
TensorFlow is an open source platform for machine learning. The `GatherNd` function takes arguments that determine the sizes of inputs and outputs. If the inputs given are greater than or equal to the sizes of the outputs, an out-of-bounds memory read is triggered. This issue has been patched in GitHub commit 595a65a3e224a0362d7e68c2213acfc2b499a196. 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.
Severity: CRITICAL (CVSS 3.1 vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:H)
Weakness: CWE-125
Affected vendors: google
Affected products: tensorflow
CVE-2022-35938 (published 2022-09-16)
TensorFlow is an open source platform for machine learning. The `GatherNd` function takes arguments that determine the sizes of inputs and outputs. If the inputs given are greater than or equal to the sizes of the outputs, an out-of-bounds memory read or a crash is triggered. This issue has been patched in GitHub commit 4142e47e9e31db481781b955ed3ff807a781b494. 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.
Severity: CRITICAL (CVSS 3.1 vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:H)
Weakness: CWE-125
Affected vendors: google
Affected products: tensorflow
CVE-2022-35939 (published 2022-09-16)
TensorFlow is an open source platform for machine learning. The `ScatterNd` function takes an input argument that determines the indices of of the output tensor. An input index greater than the output tensor or less than zero will either write content at the wrong index or trigger a crash. We have patched the issue in GitHub commit b4d4b4cb019bd7240a52daa4ba61e3cc814f0384. 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.
Severity: CRITICAL (CVSS 3.1 vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H)
Weakness: CWE-787
Affected vendors: google
Affected products: tensorflow
CVE-2022-3594 (published 2022-10-18)
A vulnerability was found in Linux Kernel. It has been declared as problematic. Affected by this vulnerability is the function intr_callback of the file drivers/net/usb/r8152.c of the component BPF. The manipulation leads to logging of excessive data. The attack can be launched remotely. It is recommended to apply a patch to fix this issue. The associated identifier of this vulnerability is VDB-211363.
Severity: MEDIUM (CVSS 3.1 vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:L)
Weakness: CWE-404
Affected vendors: debian, linux
Affected products: debian_linux, linux_kernel
CVE-2022-35940 (published 2022-09-16)
TensorFlow is an open source platform for machine learning. The `RaggedRangOp` function takes an argument `limits` that is eventually used to construct a `TensorShape` as an `int64`. If `limits` is a very large float, it can overflow when converted to an `int64`. This triggers an `InvalidArgument` but also throws an abort signal that crashes the program. We have patched the issue in GitHub commit 37cefa91bee4eace55715eeef43720b958a01192. 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.
Severity: HIGH (CVSS 3.1 vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H)
Weakness: CWE-190
Affected vendors: google
Affected products: tensorflow
CVE-2022-35941 (published 2022-09-16)
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.
Severity: HIGH (CVSS 3.1 vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H)
Weakness: CWE-617
Affected vendors: google
Affected products: tensorflow
CVE-2022-35942 (published 2022-08-12)
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.
Severity: CRITICAL (CVSS 3.1 vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:C/C:H/I:H/A:H)
Weakness: CWE-89
Affected vendors: linuxfoundation
Affected products: loopback-connector-postgresql
CVE-2022-35943 (published 2022-08-12)
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)
Severity: HIGH (CVSS 3.1 vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H)
Weakness: CWE-352
Affected vendors: codeigniter
Affected products: codeigniter, shield
CVE-2022-35944 (published 2022-10-13)
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.
Severity: HIGH (CVSS 3.1 vector: CVSS:3.1/AV:N/AC:L/PR:H/UI:N/S:U/C:H/I:H/A:H)
Weakness: CWE-94
Affected vendors: octobercms
Affected products: october
CVE-2022-35945 (published 2022-09-14)
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.
Severity: MEDIUM (CVSS 3.1 vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:C/C:L/I:L/A:N)
Weakness: CWE-79
Affected vendors: glpi-project
Affected products: glpi
CVE-2022-35946 (published 2022-09-14)
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.
Severity: MEDIUM (CVSS 3.1 vector: CVSS:3.1/AV:N/AC:L/PR:H/UI:N/S:U/C:H/I:H/A:N)
Weakness: CWE-89
Affected vendors: glpi-project
Affected products: glpi
CVE-2022-35947 (published 2022-09-14)
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.
Severity: CRITICAL (CVSS 3.1 vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H)
Weakness: CWE-89
Affected vendors: glpi-project
Affected products: glpi
CVE-2022-35948 (published 2022-08-15)
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.
Severity: MEDIUM (CVSS 3.1 vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:L/A:N)
Weakness: CWE-74
Affected vendors: nodejs
Affected products: undici
CVE-2022-35949 (published 2022-08-12)
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.
Severity: CRITICAL (CVSS 3.1 vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H)
Weakness: CWE-918
Affected vendors: nodejs
Affected products: undici
CVE-2022-3595 (published 2022-10-18)
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.
Severity: MEDIUM (CVSS 3.1 vector: CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H)
Weakness: CWE-119
Affected vendors: linux
Affected products: linux_kernel
CVE-2022-35950 (published 2023-10-09)
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.

Severity: MEDIUM (CVSS 3.1 vector: CVSS:3.1/AV:N/AC:L/PR:H/UI:R/S:C/C:L/I:L/A:N)
Weakness: CWE-79
Affected vendors: oroinc
Affected products: orocommerce
CVE-2022-35951 (published 2022-09-23)
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.
Severity: CRITICAL (CVSS 3.1 vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H)
Weakness: CWE-190
Affected vendors: fedoraproject, redis
Affected products: fedora, redis
CVE-2022-35952 (published 2022-09-16)
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.
Severity: HIGH (CVSS 3.1 vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H)
Weakness: CWE-617
Affected vendors: google
Affected products: tensorflow
CVE-2022-35953 (published 2022-08-12)
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.
Severity: MEDIUM (CVSS 3.1 vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:C/C:L/I:L/A:N)
Weakness: CWE-601
Affected vendors: joinbookwyrm
Affected products: bookwyrm
CVE-2022-35954 (published 2022-08-15)
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`.
Severity: MEDIUM (CVSS 3.1 vector: CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:C/C:N/I:L/A:N)
Weakness: CWE-77
Affected vendors: github
Affected products: toolkit
CVE-2022-35956 (published 2022-08-12)
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.
Severity: CRITICAL (CVSS 3.1 vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H)
Weakness: CWE-89
Affected vendors: update_by_case_project
Affected products: update_by_case
CVE-2022-35957 (published 2022-09-20)
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/
Severity: MEDIUM (CVSS 3.1 vector: CVSS:3.1/AV:N/AC:H/PR:H/UI:N/S:U/C:H/I:H/A:H)
Weakness: CWE-290
Affected vendors: fedoraproject, grafana
Affected products: fedora, grafana
CVE-2022-35959 (published 2022-09-16)
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.
Severity: HIGH (CVSS 3.1 vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H)
Weakness: CWE-617
Affected vendors: google
Affected products: tensorflow
CVE-2022-3596 (published 2023-09-20)
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.
Severity: HIGH (CVSS 3.1 vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N)
Weakness: CWE-402
Affected vendors: redhat
Affected products: openstack_platform
CVE-2022-35960 (published 2022-09-16)
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.
Severity: HIGH (CVSS 3.1 vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H)
Weakness: CWE-617
Affected vendors: google
Affected products: tensorflow
CVE-2022-35961 (published 2022-08-15)
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.
Severity: MEDIUM (CVSS 3.1 vector: CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:H/A:N)
Weakness: CWE-354
Affected vendors: openzeppelin
Affected products: contracts, contracts_upgradeable
CVE-2022-35962 (published 2022-08-29)
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.
Severity: MEDIUM (CVSS 3.1 vector: CVSS:3.1/AV:N/AC:L/PR:L/UI:R/S:U/C:H/I:N/A:N)
Weakness: CWE-184
Affected vendors: zulip
Affected products: zulip
CVE-2022-35963 (published 2022-09-16)
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.
Severity: HIGH (CVSS 3.1 vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H)
Weakness: CWE-617
Affected vendors: google
Affected products: tensorflow
CVE-2022-35964 (published 2022-09-16)
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.
Severity: HIGH (CVSS 3.1 vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H)
Weakness: CWE-20
Affected vendors: google
Affected products: tensorflow
CVE-2022-35965 (published 2022-09-16)
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.
Severity: HIGH (CVSS 3.1 vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H)
Weakness: CWE-476
Affected vendors: google
Affected products: tensorflow
CVE-2022-35966 (published 2022-09-16)
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.
Severity: HIGH (CVSS 3.1 vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H)
Weakness: CWE-20
Affected vendors: google
Affected products: tensorflow
CVE-2022-35967 (published 2022-09-16)
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.
Severity: HIGH (CVSS 3.1 vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H)
Weakness: CWE-20
Affected vendors: google
Affected products: tensorflow
CVE-2022-35968 (published 2022-09-16)
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.
Severity: HIGH (CVSS 3.1 vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H)
Weakness: CWE-617
Affected vendors: google
Affected products: tensorflow
CVE-2022-35969 (published 2022-09-16)
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.
Severity: HIGH (CVSS 3.1 vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H)
Weakness: CWE-617
Affected vendors: google
Affected products: tensorflow
CVE-2022-3597 (published 2022-10-21)
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.
Severity: MEDIUM (CVSS 3.1 vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:N/I:N/A:H)
Weakness: CWE-787
Affected vendors: debian, libtiff, netapp
Affected products: active_iq_unified_manager, debian_linux, libtiff
CVE-2022-35970 (published 2022-09-16)
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.
Severity: HIGH (CVSS 3.1 vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H)
Weakness: CWE-20
Affected vendors: google
Affected products: tensorflow
CVE-2022-35971 (published 2022-09-16)
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.
Severity: HIGH (CVSS 3.1 vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H)
Weakness: CWE-617
Affected vendors: google
Affected products: tensorflow
CVE-2022-35972 (published 2022-09-16)
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.
Severity: HIGH (CVSS 3.1 vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H)
Weakness: CWE-20
Affected vendors: google
Affected products: tensorflow
CVE-2022-35973 (published 2022-09-16)
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.
Severity: HIGH (CVSS 3.1 vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H)
Weakness: CWE-20
Affected vendors: google
Affected products: tensorflow
CVE-2022-35974 (published 2022-09-16)
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.
Severity: HIGH (CVSS 3.1 vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H)
Weakness: CWE-20
Affected vendors: google
Affected products: tensorflow
CVE-2022-35975 (published 2022-08-18)
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.
Severity: CRITICAL (CVSS 3.1 vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H)
Weakness: CWE-78
Affected vendors: weave
Affected products: gitops_tools
CVE-2022-35976 (published 2022-08-18)
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.
Severity: CRITICAL (CVSS 3.1 vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H)
Weakness: CWE-78
Affected vendors: weave
Affected products: gitops_tools
CVE-2022-35977 (published 2023-01-20)
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.
Severity: MEDIUM (CVSS 3.1 vector: CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H)
Weakness: CWE-190
Affected vendors: redis
Affected products: redis
CVE-2022-35978 (published 2022-08-15)
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.
Severity: CRITICAL (CVSS 3.1 vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:C/C:H/I:H/A:H)
Weakness: CWE-693
Affected vendors: minetest
Affected products: minetest
CVE-2022-35979 (published 2022-09-16)
TensorFlow is an open source platform for machine learning. If `QuantizedRelu` or `QuantizedRelu6` are given nonscalar inputs for `min_features` or `max_features`, 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.
Severity: HIGH (CVSS 3.1 vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H)
Weakness: CWE-20
Affected vendors: google
Affected products: tensorflow
CVE-2022-3598 (published 2022-10-21)
LibTIFF 4.4.0 has an out-of-bounds write in extractContigSamplesShifted24bits in tools/tiffcrop.c:3604, 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 cfbb883b.
Severity: MEDIUM (CVSS 3.1 vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:N/I:N/A:H)
Weakness: CWE-787
Affected vendors: debian, libtiff, netapp
Affected products: active_iq_unified_manager, debian_linux, libtiff
CVE-2022-35980 (published 2022-08-12)
OpenSearch Security is a plugin for OpenSearch that offers encryption, authentication and authorization. Versions 2.0.0.0 and 2.1.0.0 of the security plugin are affected by an information disclosure vulnerability. Requests to an OpenSearch cluster configured with advanced access control features document level security (DLS), field level security (FLS), and/or field masking will not be filtered when the query's search pattern matches an aliased index. OpenSearch Dashboards creates an alias to `.kibana` by default, so filters with the index pattern of `*` to restrict access to documents or fields will not be applied. This issue allows requests to access sensitive information when customer have acted to restrict access that specific information. OpenSearch 2.2.0, which is compatible with OpenSearch Security 2.2.0.0, contains the fix for this issue. There is no recommended work around.
Severity: HIGH (CVSS 3.1 vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N)
Weakness: CWE-612
Affected vendors: amazon
Affected products: opensearch
CVE-2022-35981 (published 2022-09-16)
TensorFlow is an open source platform for machine learning. `FractionalMaxPoolGrad` validates its inputs with `CHECK` failures instead of with returning errors. If it gets incorrectly sized inputs, the `CHECK` failure can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 8741e57d163a079db05a7107a7609af70931def4. 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.
Severity: HIGH (CVSS 3.1 vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H)
Weakness: CWE-617
Affected vendors: google
Affected products: tensorflow
CVE-2022-35982 (published 2022-09-16)
TensorFlow is an open source platform for machine learning. If `SparseBincount` is given inputs for `indices`, `values`, and `dense_shape` that do not make a valid sparse tensor, it results in a segfault that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 40adbe4dd15b582b0210dfbf40c243a62f5119fa. 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.
Severity: HIGH (CVSS 3.1 vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H)
Weakness: CWE-20
Affected vendors: google
Affected products: tensorflow
CVE-2022-35983 (published 2022-09-16)
TensorFlow is an open source platform for machine learning. If `Save` or `SaveSlices` is run over tensors of an unsupported `dtype`, 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 5dd7b86b84a864b834c6fa3d7f9f51c87efa99d4. 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.
Severity: HIGH (CVSS 3.1 vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H)
Weakness: CWE-617
Affected vendors: google
Affected products: tensorflow
CVE-2022-35984 (published 2022-09-16)
TensorFlow is an open source platform for machine learning. `ParameterizedTruncatedNormal` assumes `shape` is of type `int32`. A valid `shape` of type `int64` results in a mismatched type `CHECK` fail that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 72180be03447a10810edca700cbc9af690dfeb51. 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.
Severity: HIGH (CVSS 3.1 vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H)
Weakness: CWE-617
Affected vendors: google
Affected products: tensorflow
CVE-2022-35985 (published 2022-09-16)
TensorFlow is an open source platform for machine learning. If `LRNGrad` is given an `output_image` input tensor that is not 4-D, 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 bd90b3efab4ec958b228cd7cfe9125be1c0cf255. 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.
Severity: HIGH (CVSS 3.1 vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H)
Weakness: CWE-617
Affected vendors: google
Affected products: tensorflow
CVE-2022-35986 (published 2022-09-16)
TensorFlow is an open source platform for machine learning. If `RaggedBincount` is given an empty input tensor `splits`, it results in a segfault that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 7a4591fd4f065f4fa903593bc39b2f79530a74b8. 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.
Severity: HIGH (CVSS 3.1 vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H)
Weakness: CWE-20
Affected vendors: google
Affected products: tensorflow