rainbutterfly/cve_corpus huggingface dataset:
CVE-2022-35949 `undici.request` vulnerable to SSRF using absolute URL on `pathname`
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.
Problem types: cwe_id: CWE-918
description: CWE-918: Server-Side Request Forgery (SSRF)
Affected products: vendor: nodejs
product: undici
CVSS v3.1: version: 3.1
vectorString: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:N/A:N
attackVector: NETWORK
attackComplexity: LOW
privilegesRequired: NONE
userInteraction: NONE
scope: UNCHANGED
confidentialityImpact: LOW
integrityImpact: NONE
availabilityImpact: NONE
baseScore: 5.3
baseSeverity: MEDIUM
Published: 2022-08-12T00:00:00.000Z
CVE-2022-35950 OroCommerce Cross-site Scripting vulnerability in add note dialog of Shopping List line item
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.

Problem types: cwe_id: CWE-79
description: CWE-79: Improper Neutralization of Input During Web Page Generation ('Cross-site Scripting')
Affected products: vendor: oroinc
product: orocommerce
CVSS v3.1: attackComplexity: LOW
attackVector: NETWORK
availabilityImpact: NONE
baseScore: 6.9
baseSeverity: MEDIUM
confidentialityImpact: HIGH
integrityImpact: LOW
privilegesRequired: HIGH
scope: CHANGED
userInteraction: REQUIRED
vectorString: CVSS:3.1/AV:N/AC:L/PR:H/UI:R/S:C/C:H/I:L/A:N
version: 3.1
Published: 2023-10-09T13:06:50.254Z
CVE-2022-35951 Redis subject to Integer Overflow leading to Remote Code Execution via Heap Overflow
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.
Problem types: cwe_id: CWE-190
description: CWE-190: Integer Overflow or Wraparound
Affected products: vendor: redis
product: redis
CVSS v3.1: version: 3.1
vectorString: CVSS:3.1/AV:L/AC:H/PR:L/UI:N/S:U/C:H/I:H/A:H
attackVector: LOCAL
attackComplexity: HIGH
privilegesRequired: LOW
userInteraction: NONE
scope: UNCHANGED
confidentialityImpact: HIGH
integrityImpact: HIGH
availabilityImpact: HIGH
baseScore: 7
baseSeverity: HIGH
Published: 2022-09-23T00:00:00.000Z
CVE-2022-35952 `CHECK` failures in `UnbatchGradOp` in TensorFlow
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.
Problem types: cwe_id: CWE-617
description: CWE-617: Reachable Assertion
Affected products: vendor: tensorflow
product: tensorflow
CVSS v3.1: attackComplexity: HIGH
attackVector: NETWORK
availabilityImpact: HIGH
baseScore: 5.9
baseSeverity: MEDIUM
confidentialityImpact: NONE
integrityImpact: NONE
privilegesRequired: NONE
scope: UNCHANGED
userInteraction: NONE
vectorString: CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:N/A:H
version: 3.1
Published: 2022-09-16T19:50:10.000Z
CVE-2022-35953 URL Redirection to Untrusted Site ('Open Redirect') in bookwyrm
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.
Problem types: cwe_id: CWE-601
description: CWE-601: URL Redirection to Untrusted Site ('Open Redirect')
Affected products: vendor: bookwyrm-social
product: bookwyrm
CVSS v3.1: attackComplexity: HIGH
attackVector: NETWORK
availabilityImpact: HIGH
baseScore: 7.1
baseSeverity: HIGH
confidentialityImpact: HIGH
integrityImpact: LOW
privilegesRequired: NONE
scope: UNCHANGED
userInteraction: REQUIRED
vectorString: CVSS:3.1/AV:N/AC:H/PR:N/UI:R/S:U/C:H/I:L/A:H
version: 3.1
Published: 2022-08-12T20:15:13.000Z
CVE-2022-35954 Delimiter injection vulnerability in @actions/core exportVariable
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`.
Problem types: cwe_id: CWE-77
description: CWE-77: Improper Neutralization of Special Elements used in a Command ('Command Injection')
Affected products: vendor: actions
product: toolkit
CVSS v3.1: attackComplexity: LOW
attackVector: NETWORK
availabilityImpact: NONE
baseScore: 5
baseSeverity: MEDIUM
confidentialityImpact: NONE
integrityImpact: LOW
privilegesRequired: LOW
scope: CHANGED
userInteraction: NONE
vectorString: CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:C/C:N/I:L/A:N
version: 3.1
Published: 2022-08-13T23:40:09.000Z
CVE-2022-35956 update_by_case before 0.1.3 vulnerable to sql injection
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.
Problem types: cwe_id: CWE-89
description: CWE-89: Improper Neutralization of Special Elements used in an SQL Command ('SQL Injection')
Affected products: vendor: camilova
product: activerecord-update-by-case
CVSS v3.1: attackComplexity: HIGH
attackVector: NETWORK
availabilityImpact: LOW
baseScore: 5.8
baseSeverity: MEDIUM
confidentialityImpact: LOW
integrityImpact: LOW
privilegesRequired: NONE
scope: CHANGED
userInteraction: REQUIRED
vectorString: CVSS:3.1/AV:N/AC:H/PR:N/UI:R/S:C/C:L/I:L/A:L
version: 3.1
Published: 2022-08-12T20:50:08.000Z
CVE-2022-35957 Authentication Bypass in Grafana via auth proxy allowing escalation from admin to server admin
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/
Problem types: cwe_id: CWE-290
description: CWE-290: Authentication Bypass by Spoofing
Affected products: vendor: grafana
product: grafana
CVSS v3.1: version: 3.1
vectorString: CVSS:3.1/AV:N/AC:H/PR:H/UI:N/S:U/C:H/I:H/A:H
attackVector: NETWORK
attackComplexity: HIGH
privilegesRequired: HIGH
userInteraction: NONE
scope: UNCHANGED
confidentialityImpact: HIGH
integrityImpact: HIGH
availabilityImpact: HIGH
baseScore: 6.6
baseSeverity: MEDIUM
Published: 2022-09-20T00:00:00.000Z
CVE-2022-35959 `CHECK` failures in `AvgPool3DGrad` in TensorFlow
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.
Problem types: cwe_id: CWE-617
description: CWE-617: Reachable Assertion
Affected products: vendor: tensorflow
product: tensorflow
CVSS v3.1: attackComplexity: HIGH
attackVector: NETWORK
availabilityImpact: HIGH
baseScore: 5.9
baseSeverity: MEDIUM
confidentialityImpact: NONE
integrityImpact: NONE
privilegesRequired: NONE
scope: UNCHANGED
userInteraction: NONE
vectorString: CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:N/A:H
version: 3.1
Published: 2022-09-16T19:55:11.000Z
CVE-2022-35960 `CHECK` failure in `TensorListReserve` in TensorFlow
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.
Problem types: cwe_id: CWE-617
description: CWE-617: Reachable Assertion
Affected products: vendor: tensorflow
product: tensorflow
CVSS v3.1: attackComplexity: HIGH
attackVector: NETWORK
availabilityImpact: HIGH
baseScore: 5.9
baseSeverity: MEDIUM
confidentialityImpact: NONE
integrityImpact: NONE
privilegesRequired: NONE
scope: UNCHANGED
userInteraction: NONE
vectorString: CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:N/A:H
version: 3.1
Published: 2022-09-16T20:00:15.000Z
CVE-2022-35961 ECDSA signature malleability in OpenZeppelin Contracts
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.
Problem types: cwe_id: CWE-354
description: CWE-354: Improper Validation of Integrity Check Value
Affected products: vendor: OpenZeppelin
product: openzeppelin-contracts
CVSS v3.1: attackComplexity: HIGH
attackVector: NETWORK
availabilityImpact: LOW
baseScore: 7.9
baseSeverity: HIGH
confidentialityImpact: HIGH
integrityImpact: HIGH
privilegesRequired: LOW
scope: CHANGED
userInteraction: REQUIRED
vectorString: CVSS:3.1/AV:N/AC:H/PR:L/UI:R/S:C/C:H/I:H/A:L
version: 3.1
Published: 2022-08-14T00:05:09.000Z
CVE-2022-35962 Crafted link in Zulip message can cause disclosure of credentials
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.
Problem types: cwe_id: CWE-184
description: CWE-184: Incomplete List of Disallowed Inputs
cwe_id: CWE-436
description: CWE-436: Interpretation Conflict
Affected products: vendor: zulip
product: zulip-mobile
CVSS v3.1: attackComplexity: LOW
attackVector: NETWORK
availabilityImpact: HIGH
baseScore: 8
baseSeverity: HIGH
confidentialityImpact: HIGH
integrityImpact: HIGH
privilegesRequired: LOW
scope: UNCHANGED
userInteraction: REQUIRED
vectorString: CVSS:3.1/AV:N/AC:L/PR:L/UI:R/S:U/C:H/I:H/A:H
version: 3.1
Published: 2022-08-29T14:50:09.000Z
CVE-2022-35963 `CHECK` failures in `FractionalAvgPoolGrad` in TensorFlow
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.
Problem types: cwe_id: CWE-617
description: CWE-617: Reachable Assertion
Affected products: vendor: tensorflow
product: tensorflow
CVSS v3.1: attackComplexity: HIGH
attackVector: NETWORK
availabilityImpact: HIGH
baseScore: 5.9
baseSeverity: MEDIUM
confidentialityImpact: NONE
integrityImpact: NONE
privilegesRequired: NONE
scope: UNCHANGED
userInteraction: NONE
vectorString: CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:N/A:H
version: 3.1
Published: 2022-09-16T20:10:10.000Z
CVE-2022-35964 Segfault in `BlockLSTMGradV2` in TensorFlow
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.
Problem types: cwe_id: CWE-20
description: CWE-20: Improper Input Validation
Affected products: vendor: tensorflow
product: tensorflow
CVSS v3.1: attackComplexity: HIGH
attackVector: NETWORK
availabilityImpact: HIGH
baseScore: 5.9
baseSeverity: MEDIUM
confidentialityImpact: NONE
integrityImpact: NONE
privilegesRequired: NONE
scope: UNCHANGED
userInteraction: NONE
vectorString: CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:N/A:H
version: 3.1
Published: 2022-09-16T20:25:14.000Z
CVE-2022-35965 Segfault in `LowerBound` and `UpperBound` in TensorFlow
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.
Problem types: cwe_id: CWE-476
description: CWE-476: NULL Pointer Dereference
Affected products: vendor: tensorflow
product: tensorflow
CVSS v3.1: attackComplexity: HIGH
attackVector: NETWORK
availabilityImpact: HIGH
baseScore: 5.9
baseSeverity: MEDIUM
confidentialityImpact: NONE
integrityImpact: NONE
privilegesRequired: NONE
scope: UNCHANGED
userInteraction: NONE
vectorString: CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:N/A:H
version: 3.1
Published: 2022-09-16T20:25:09.000Z
CVE-2022-35966 Segfault in `QuantizedAvgPool` in TensorFlow
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.
Problem types: cwe_id: CWE-20
description: CWE-20: Improper Input Validation
Affected products: vendor: tensorflow
product: tensorflow
CVSS v3.1: attackComplexity: HIGH
attackVector: NETWORK
availabilityImpact: HIGH
baseScore: 5.9
baseSeverity: MEDIUM
confidentialityImpact: NONE
integrityImpact: NONE
privilegesRequired: NONE
scope: UNCHANGED
userInteraction: NONE
vectorString: CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:N/A:H
version: 3.1
Published: 2022-09-16T20:35:15.000Z
CVE-2022-35967 Segfault in `QuantizedAdd` in TensorFlow
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.
Problem types: cwe_id: CWE-20
description: CWE-20: Improper Input Validation
Affected products: vendor: tensorflow
product: tensorflow
CVSS v3.1: attackComplexity: HIGH
attackVector: NETWORK
availabilityImpact: HIGH
baseScore: 5.9
baseSeverity: MEDIUM
confidentialityImpact: NONE
integrityImpact: NONE
privilegesRequired: NONE
scope: UNCHANGED
userInteraction: NONE
vectorString: CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:N/A:H
version: 3.1
Published: 2022-09-16T20:35:10.000Z
CVE-2022-35968 `CHECK` fail in `AvgPoolGrad` in TensorFlow
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.
Problem types: cwe_id: CWE-617
description: CWE-617: Reachable Assertion
Affected products: vendor: tensorflow
product: tensorflow
CVSS v3.1: attackComplexity: HIGH
attackVector: NETWORK
availabilityImpact: HIGH
baseScore: 5.9
baseSeverity: MEDIUM
confidentialityImpact: NONE
integrityImpact: NONE
privilegesRequired: NONE
scope: UNCHANGED
userInteraction: NONE
vectorString: CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:N/A:H
version: 3.1
Published: 2022-09-16T20:40:10.000Z
CVE-2022-35969 `CHECK` fail in `Conv2DBackpropInput` in TensorFlow
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.
Problem types: cwe_id: CWE-617
description: CWE-617: Reachable Assertion
Affected products: vendor: tensorflow
product: tensorflow
CVSS v3.1: attackComplexity: HIGH
attackVector: NETWORK
availabilityImpact: HIGH
baseScore: 5.9
baseSeverity: MEDIUM
confidentialityImpact: NONE
integrityImpact: NONE
privilegesRequired: NONE
scope: UNCHANGED
userInteraction: NONE
vectorString: CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:N/A:H
version: 3.1
Published: 2022-09-16T20:45:19.000Z
CVE-2022-35970 Segfault in `QuantizedInstanceNorm` in TensorFlow
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.
Problem types: cwe_id: CWE-20
description: CWE-20: Improper Input Validation
Affected products: vendor: tensorflow
product: tensorflow
CVSS v3.1: attackComplexity: HIGH
attackVector: NETWORK
availabilityImpact: HIGH
baseScore: 5.9
baseSeverity: MEDIUM
confidentialityImpact: NONE
integrityImpact: NONE
privilegesRequired: NONE
scope: UNCHANGED
userInteraction: NONE
vectorString: CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:N/A:H
version: 3.1
Published: 2022-09-16T20:45:13.000Z
CVE-2022-35971 `CHECK` fail in `FakeQuantWithMinMaxVars` in TensorFlow
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.
Problem types: cwe_id: CWE-617
description: CWE-617: Reachable Assertion
Affected products: vendor: tensorflow
product: tensorflow
CVSS v3.1: attackComplexity: HIGH
attackVector: NETWORK
availabilityImpact: HIGH
baseScore: 5.9
baseSeverity: MEDIUM
confidentialityImpact: NONE
integrityImpact: NONE
privilegesRequired: NONE
scope: UNCHANGED
userInteraction: NONE
vectorString: CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:N/A:H
version: 3.1
Published: 2022-09-16T20:50:10.000Z