rainbutterfly/cve_corpus huggingface dataset:
CVE-2022-41876 ezplatform-graphql GraphQL queries can expose password hashes
ezplatform-graphql is a GraphQL server implementation for Ibexa DXP and Ibexa Open Source. Versions prior to 2.3.12 and 1.0.13 are subject to Insecure Storage of Sensitive Information. Unauthenticated GraphQL queries for user accounts can expose password hashes of users that have created or modified content, typically administrators and editors. This issue has been patched in versions 2.3.12, and 1.0.13 on the 1.X branch. Users unable to upgrade can remove the "passwordHash" entry from "src/bundle/Resources/config/graphql/User.types.yaml" in the GraphQL package, and other properties like hash type, email, login if you prefer.
Problem types: cwe_id: CWE-200
description: CWE-200: Exposure of Sensitive Information to an Unauthorized Actor
cwe_id: CWE-922
description: CWE-922: Insecure Storage of Sensitive Information
Affected products: vendor: ezsystems
product: ezplatform-graphql
CVSS v3.1: version: 3.1
vectorString: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N
attackVector: NETWORK
attackComplexity: LOW
privilegesRequired: NONE
userInteraction: NONE
scope: UNCHANGED
confidentialityImpact: HIGH
integrityImpact: NONE
availabilityImpact: NONE
baseScore: 7.5
baseSeverity: HIGH
Published: 2022-11-10T00:00:00.000Z
CVE-2022-41877 Missing input length validation in `drive` channel in FreeRDP
FreeRDP is a free remote desktop protocol library and clients. Affected versions of FreeRDP are missing input length validation in `drive` channel. A malicious server can trick a FreeRDP based client to read out of bound data and send it back to the server. This issue has been addressed in version 2.9.0 and all users are advised to upgrade. Users unable to upgrade should not use the drive redirection channel - command line options `/drive`, `+drives` or `+home-drive`.
Problem types: cwe_id: CWE-119
description: CWE-119: Improper Restriction of Operations within the Bounds of a Memory Buffer
Affected products: vendor: FreeRDP
product: FreeRDP
CVSS v3.1: version: 3.1
vectorString: CVSS:3.1/AV:N/AC:H/PR:L/UI:R/S:U/C:L/I:L/A:L
attackVector: NETWORK
attackComplexity: HIGH
privilegesRequired: LOW
userInteraction: REQUIRED
scope: UNCHANGED
confidentialityImpact: LOW
integrityImpact: LOW
availabilityImpact: LOW
baseScore: 4.6
baseSeverity: MEDIUM
Published: 2022-11-16T00:00:00.000Z
CVE-2022-41878 Parse Server Prototype pollution and Injection via Cloud Code Webhooks or Cloud Code Triggers
Parse Server is an open source backend that can be deployed to any infrastructure that can run Node.js. In versions prior to 5.3.2 or 4.10.19, keywords that are specified in the Parse Server option `requestKeywordDenylist` can be injected via Cloud Code Webhooks or Triggers. This will result in the keyword being saved to the database, bypassing the `requestKeywordDenylist` option. This issue is fixed in versions 4.10.19, and 5.3.2. If upgrade is not possible, the following Workarounds may be applied: Configure your firewall to only allow trusted servers to make request to the Parse Server Cloud Code Webhooks API, or block the API completely if you are not using the feature.
Problem types: cwe_id: CWE-74
description: CWE-74: Improper Neutralization of Special Elements in Output Used by a Downstream Component ('Injection')
cwe_id: CWE-1321
description: CWE-1321: Improperly Controlled Modification of Object Prototype Attributes ('Prototype Pollution')
Affected products: vendor: parse-community
product: parse-server
CVSS v3.1: version: 3.1
vectorString: CVSS:3.1/AV:N/AC:L/PR:H/UI:N/S:U/C:H/I:H/A:H
attackVector: NETWORK
attackComplexity: LOW
privilegesRequired: HIGH
userInteraction: NONE
scope: UNCHANGED
confidentialityImpact: HIGH
integrityImpact: HIGH
availabilityImpact: HIGH
baseScore: 7.2
baseSeverity: HIGH
Published: 2022-11-10T00:00:00.000Z
CVE-2022-41879 Parse Server subject to Prototype pollution via Cloud Code Webhooks
Parse Server is an open source backend that can be deployed to any infrastructure that can run Node.js. In versions prior to 5.3.3 or 4.10.20, a compromised Parse Server Cloud Code Webhook target endpoint allows an attacker to use prototype pollution to bypass the Parse Server `requestKeywordDenylist` option. This issue has been patched in versions 5.3.3 and 4.10.20. There are no known workarounds.
Problem types: cwe_id: CWE-1321
description: CWE-1321: Improperly Controlled Modification of Object Prototype Attributes ('Prototype Pollution')
Affected products: vendor: parse-community
product: parse-server
CVSS v3.1: version: 3.1
vectorString: CVSS:3.1/AV:N/AC:L/PR:H/UI:N/S:U/C:H/I:H/A:H
attackVector: NETWORK
attackComplexity: LOW
privilegesRequired: HIGH
userInteraction: NONE
scope: UNCHANGED
confidentialityImpact: HIGH
integrityImpact: HIGH
availabilityImpact: HIGH
baseScore: 7.2
baseSeverity: HIGH
Published: 2022-11-10T00:00:00.000Z
CVE-2022-41880 ThreadUnsafeUnigramCandidateSampler Heap out of bounds in Tensorflow
TensorFlow is an open source platform for machine learning. When the `BaseCandidateSamplerOp` function receives a value in `true_classes` larger than `range_max`, a heap oob read occurs. We have patched the issue in GitHub commit b389f5c944cadfdfe599b3f1e4026e036f30d2d4. The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range.
Problem types: cwe_id: CWE-125
description: CWE-125: Out-of-bounds Read
Affected products: vendor: tensorflow
product: tensorflow
CVSS v3.1: version: 3.1
vectorString: CVSS:3.1/AV:N/AC:L/PR:L/UI:R/S:U/C:L/I:L/A:H
attackVector: NETWORK
attackComplexity: LOW
privilegesRequired: LOW
userInteraction: REQUIRED
scope: UNCHANGED
confidentialityImpact: LOW
integrityImpact: LOW
availabilityImpact: HIGH
baseScore: 6.8
baseSeverity: MEDIUM
Published: 2022-11-18T00:00:00.000Z
CVE-2022-41881 
Netty project is an event-driven asynchronous network application framework. In versions prior to 4.1.86.Final, a StackOverflowError can be raised when parsing a malformed crafted message due to an infinite recursion. This issue is patched in version 4.1.86.Final. There is no workaround, except using a custom HaProxyMessageDecoder.
Problem types: cwe_id: CWE-674
description: CWE-674: Uncontrolled Recursion
Affected products: vendor: netty
product: netty
CVSS v3.1: version: 3.1
vectorString: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:L
attackVector: NETWORK
attackComplexity: LOW
privilegesRequired: NONE
userInteraction: NONE
scope: UNCHANGED
confidentialityImpact: NONE
integrityImpact: NONE
availabilityImpact: LOW
baseScore: 5.3
baseSeverity: MEDIUM
Published: 2022-12-12T00:00:00.000Z
CVE-2022-41882 Nextcloud Desktop vulnerable to code injection via malicious link
The Nextcloud Desktop Client is a tool to synchronize files from Nextcloud Server with your computer. In version 3.6.0, if a user received a malicious file share and has it synced locally or the virtual filesystem enabled and clicked a nc://open/ link it will open the default editor for the file type of the shared file, which on Windows can also sometimes mean that a file depending on the type, e.g. "vbs", is being executed. It is recommended that the Nextcloud Desktop client is upgraded to version 3.6.1. As a workaround, users can block the Nextcloud Desktop client 3.6.0 by setting the `minimum.supported.desktop.version` system config to `3.6.1` on the server, so new files designed to use this attack vector are not downloaded anymore. Already existing files can still be used. Another workaround would be to enforce shares to be accepted by setting the `sharing.force_share_accept` system config to `true` on the server, so new files designed to use this attack vector are not downloaded anymore. Already existing shares can still be abused.
Problem types: cwe_id: CWE-94
description: CWE-94: Improper Control of Generation of Code ('Code Injection')
Affected products: vendor: nextcloud
product: security-advisories
CVSS v3.1: version: 3.1
vectorString: CVSS:3.1/AV:L/AC:H/PR:L/UI:R/S:C/C:L/I:H/A:L
attackVector: LOCAL
attackComplexity: HIGH
privilegesRequired: LOW
userInteraction: REQUIRED
scope: CHANGED
confidentialityImpact: LOW
integrityImpact: HIGH
availabilityImpact: LOW
baseScore: 6.6
baseSeverity: MEDIUM
Published: 2022-11-11T00:00:00.000Z
CVE-2022-41883 Out of bounds segmentation fault due to unequal op inputs in Tensorflow
TensorFlow is an open source platform for machine learning. When ops that have specified input sizes receive a differing number of inputs, the executor will crash. We have patched the issue in GitHub commit f5381e0e10b5a61344109c1b7c174c68110f7629. The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range.
Problem types: cwe_id: CWE-125
description: CWE-125: Out-of-bounds Read
Affected products: vendor: tensorflow
product: tensorflow
CVSS v3.1: version: 3.1
vectorString: CVSS:3.1/AV:N/AC:L/PR:L/UI:R/S:U/C:L/I:L/A:H
attackVector: NETWORK
attackComplexity: LOW
privilegesRequired: LOW
userInteraction: REQUIRED
scope: UNCHANGED
confidentialityImpact: LOW
integrityImpact: LOW
availabilityImpact: HIGH
baseScore: 6.8
baseSeverity: MEDIUM
Published: 2022-11-18T00:00:00.000Z
CVE-2022-41884 Seg fault in `ndarray_tensor_bridge` due to zero and large inputs in Tensorflow
TensorFlow is an open source platform for machine learning. If a numpy array is created with a shape such that one element is zero and the others sum to a large number, an error will be raised. We have patched the issue in GitHub commit 2b56169c16e375c521a3bc8ea658811cc0793784. The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range.
Problem types: cwe_id: CWE-670
description: CWE-670: Always-Incorrect Control Flow Implementation
Affected products: vendor: tensorflow
product: tensorflow
CVSS v3.1: version: 3.1
vectorString: CVSS:3.1/AV:N/AC:H/PR:L/UI:R/S:U/C:N/I:N/A:H
attackVector: NETWORK
attackComplexity: HIGH
privilegesRequired: LOW
userInteraction: REQUIRED
scope: UNCHANGED
confidentialityImpact: NONE
integrityImpact: NONE
availabilityImpact: HIGH
baseScore: 4.8
baseSeverity: MEDIUM
Published: 2022-11-18T00:00:00.000Z
CVE-2022-41885 Overflow in `FusedResizeAndPadConv2D` in Tensorflow
TensorFlow is an open source platform for machine learning. When `tf.raw_ops.FusedResizeAndPadConv2D` is given a large tensor shape, it overflows. We have patched the issue in GitHub commit d66e1d568275e6a2947de97dca7a102a211e01ce. The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range.
Problem types: cwe_id: CWE-131
description: CWE-131: Incorrect Calculation of Buffer Size
Affected products: vendor: tensorflow
product: tensorflow
CVSS v3.1: version: 3.1
vectorString: CVSS:3.1/AV:N/AC:H/PR:L/UI:R/S:U/C:N/I:N/A:H
attackVector: NETWORK
attackComplexity: HIGH
privilegesRequired: LOW
userInteraction: REQUIRED
scope: UNCHANGED
confidentialityImpact: NONE
integrityImpact: NONE
availabilityImpact: HIGH
baseScore: 4.8
baseSeverity: MEDIUM
Published: 2022-11-18T00:00:00.000Z
CVE-2022-41886 Overflow in `ImageProjectiveTransformV2` in Tensorflow
TensorFlow is an open source platform for machine learning. When `tf.raw_ops.ImageProjectiveTransformV2` is given a large output shape, it overflows. We have patched the issue in GitHub commit 8faa6ea692985dbe6ce10e1a3168e0bd60a723ba. The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range.
Problem types: cwe_id: CWE-131
description: CWE-131: Incorrect Calculation of Buffer Size
Affected products: vendor: tensorflow
product: tensorflow
CVSS v3.1: version: 3.1
vectorString: CVSS:3.1/AV:N/AC:H/PR:L/UI:R/S:U/C:N/I:N/A:H
attackVector: NETWORK
attackComplexity: HIGH
privilegesRequired: LOW
userInteraction: REQUIRED
scope: UNCHANGED
confidentialityImpact: NONE
integrityImpact: NONE
availabilityImpact: HIGH
baseScore: 4.8
baseSeverity: MEDIUM
Published: 2022-11-18T00:00:00.000Z
CVE-2022-41887 Overflow in `tf.keras.losses.poisson` in Tensorflow
TensorFlow is an open source platform for machine learning. `tf.keras.losses.poisson` receives a `y_pred` and `y_true` that are passed through `functor::mul` in `BinaryOp`. If the resulting dimensions overflow an `int32`, TensorFlow will crash due to a size mismatch during broadcast assignment. We have patched the issue in GitHub commit c5b30379ba87cbe774b08ac50c1f6d36df4ebb7c. The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1 and 2.9.3, as these are also affected and still in supported range. However, we will not cherrypick this commit into TensorFlow 2.8.x, as it depends on Eigen behavior that changed between 2.8 and 2.9.
Problem types: cwe_id: CWE-131
description: CWE-131: Incorrect Calculation of Buffer Size
Affected products: vendor: tensorflow
product: tensorflow
CVSS v3.1: version: 3.1
vectorString: CVSS:3.1/AV:N/AC:H/PR:L/UI:R/S:U/C:N/I:N/A:H
attackVector: NETWORK
attackComplexity: HIGH
privilegesRequired: LOW
userInteraction: REQUIRED
scope: UNCHANGED
confidentialityImpact: NONE
integrityImpact: NONE
availabilityImpact: HIGH
baseScore: 4.8
baseSeverity: MEDIUM
Published: 2022-11-18T00:00:00.000Z
CVE-2022-41888 Unckecked rank size in `tf.image.generate_bounding_box_proposals` in Tensorflow
TensorFlow is an open source platform for machine learning. When running on GPU, `tf.image.generate_bounding_box_proposals` receives a `scores` input that must be of rank 4 but is not checked. We have patched the issue in GitHub commit cf35502463a88ca7185a99daa7031df60b3c1c98. The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range.
Problem types: cwe_id: CWE-20
description: CWE-20: Improper Input Validation
Affected products: vendor: tensorflow
product: tensorflow
CVSS v3.1: version: 3.1
vectorString: CVSS:3.1/AV:N/AC:H/PR:L/UI:R/S:U/C:N/I:N/A:H
attackVector: NETWORK
attackComplexity: HIGH
privilegesRequired: LOW
userInteraction: REQUIRED
scope: UNCHANGED
confidentialityImpact: NONE
integrityImpact: NONE
availabilityImpact: HIGH
baseScore: 4.8
baseSeverity: MEDIUM
Published: 2022-11-18T00:00:00.000Z
CVE-2022-41889 Segfault via invalid attributes in `pywrap_tfe_src.cc` in Tensorflow
TensorFlow is an open source platform for machine learning. If a list of quantized tensors is assigned to an attribute, the pywrap code fails to parse the tensor and returns a `nullptr`, which is not caught. An example can be seen in `tf.compat.v1.extract_volume_patches` by passing in quantized tensors as input `ksizes`. We have patched the issue in GitHub commit e9e95553e5411834d215e6770c81a83a3d0866ce. The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range.
Problem types: cwe_id: CWE-476
description: CWE-476: NULL Pointer Dereference
Affected products: vendor: tensorflow
product: tensorflow
CVSS v3.1: attackComplexity: LOW
attackVector: LOCAL
availabilityImpact: HIGH
baseScore: 5.5
baseSeverity: MEDIUM
confidentialityImpact: NONE
integrityImpact: NONE
privilegesRequired: LOW
scope: UNCHANGED
userInteraction: NONE
vectorString: CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H
version: 3.1
Published: 2022-11-18T00:00:00.000Z
CVE-2022-41890 `CHECK` fail in `BCast` overflow in Tensorflow
TensorFlow is an open source platform for machine learning. If `BCast::ToShape` is given input larger than an `int32`, it will crash, despite being supposed to handle up to an `int64`. An example can be seen in `tf.experimental.numpy.outer` by passing in large input to the input `b`. We have patched the issue in GitHub commit 8310bf8dd188ff780e7fc53245058215a05bdbe5. The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range.
Problem types: cwe_id: CWE-704
description: CWE-704: Incorrect Type Conversion or Cast
Affected products: vendor: tensorflow
product: tensorflow
CVSS v3.1: version: 3.1
vectorString: CVSS:3.1/AV:N/AC:H/PR:L/UI:R/S:U/C:N/I:N/A:H
attackVector: NETWORK
attackComplexity: HIGH
privilegesRequired: LOW
userInteraction: REQUIRED
scope: UNCHANGED
confidentialityImpact: NONE
integrityImpact: NONE
availabilityImpact: HIGH
baseScore: 4.8
baseSeverity: MEDIUM
Published: 2022-11-18T00:00:00.000Z
CVE-2022-41891 Segfault in `tf.raw_ops.TensorListConcat` in Tensorflow
TensorFlow is an open source platform for machine learning. If `tf.raw_ops.TensorListConcat` is given `element_shape=[]`, it results segmentation fault which can be used to trigger a denial of service attack. We have patched the issue in GitHub commit fc33f3dc4c14051a83eec6535b608abe1d355fde. The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range.
Problem types: cwe_id: CWE-20
description: CWE-20: Improper Input Validation
Affected products: vendor: tensorflow
product: tensorflow
CVSS v3.1: version: 3.1
vectorString: CVSS:3.1/AV:N/AC:H/PR:L/UI:R/S:U/C:N/I:N/A:H
attackVector: NETWORK
attackComplexity: HIGH
privilegesRequired: LOW
userInteraction: REQUIRED
scope: UNCHANGED
confidentialityImpact: NONE
integrityImpact: NONE
availabilityImpact: HIGH
baseScore: 4.8
baseSeverity: MEDIUM
Published: 2022-11-18T00:00:00.000Z
CVE-2022-41892 Arches vulnerable to SQL Injection
Arches is a web platform for creating, managing, & visualizing geospatial data. Versions prior to 6.1.2, 6.2.1, and 7.1.2 are vulnerable to SQL Injection. With a carefully crafted web request, it's possible to execute certain unwanted sql statements against the database. This issue is fixed in version 7.12, 6.2.1, and 6.1.2. Users are recommended to upgrade as soon as possible. There are no workarounds.
Problem types: cwe_id: CWE-89
description: CWE-89: Improper Neutralization of Special Elements used in an SQL Command ('SQL Injection')
Affected products: vendor: archesproject
product: arches
CVSS v3.1: version: 3.1
vectorString: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:H/A:L
attackVector: NETWORK
attackComplexity: LOW
privilegesRequired: NONE
userInteraction: NONE
scope: UNCHANGED
confidentialityImpact: LOW
integrityImpact: HIGH
availabilityImpact: LOW
baseScore: 8.6
baseSeverity: HIGH
Published: 2022-11-11T00:00:00.000Z
CVE-2022-41893 `CHECK_EQ` fail in `tf.raw_ops.TensorListResize` in Tensorflow
TensorFlow is an open source platform for machine learning. If `tf.raw_ops.TensorListResize` is given a nonscalar value for input `size`, it results `CHECK` fail which can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 888e34b49009a4e734c27ab0c43b0b5102682c56. The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range.
Problem types: cwe_id: CWE-617
description: CWE-617: Reachable Assertion
Affected products: vendor: tensorflow
product: tensorflow
CVSS v3.1: version: 3.1
vectorString: CVSS:3.1/AV:N/AC:H/PR:L/UI:R/S:U/C:N/I:N/A:H
attackVector: NETWORK
attackComplexity: HIGH
privilegesRequired: LOW
userInteraction: REQUIRED
scope: UNCHANGED
confidentialityImpact: NONE
integrityImpact: NONE
availabilityImpact: HIGH
baseScore: 4.8
baseSeverity: MEDIUM
Published: 2022-11-18T00:00:00.000Z
CVE-2022-41894 Buffer overflow in `CONV_3D_TRANSPOSE` on TFLite
TensorFlow is an open source platform for machine learning. The reference kernel of the `CONV_3D_TRANSPOSE` TensorFlow Lite operator wrongly increments the data_ptr when adding the bias to the result. Instead of `data_ptr += num_channels;` it should be `data_ptr += output_num_channels;` as if the number of input channels is different than the number of output channels, the wrong result will be returned and a buffer overflow will occur if num_channels > output_num_channels. An attacker can craft a model with a specific number of input channels. It is then possible to write specific values through the bias of the layer outside the bounds of the buffer. This attack only works if the reference kernel resolver is used in the interpreter. We have patched the issue in GitHub commit 72c0bdcb25305b0b36842d746cc61d72658d2941. The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range.
Problem types: cwe_id: CWE-120
description: CWE-120: Buffer Copy without Checking Size of Input ('Classic Buffer Overflow')
Affected products: vendor: tensorflow
product: tensorflow
CVSS v3.1: version: 3.1
vectorString: CVSS:3.1/AV:N/AC:H/PR:L/UI:R/S:U/C:H/I:H/A:H
attackVector: NETWORK
attackComplexity: HIGH
privilegesRequired: LOW
userInteraction: REQUIRED
scope: UNCHANGED
confidentialityImpact: HIGH
integrityImpact: HIGH
availabilityImpact: HIGH
baseScore: 7.1
baseSeverity: HIGH
Published: 2022-11-18T00:00:00.000Z
CVE-2022-41895 `MirrorPadGrad` heap out of bounds read in Tensorflow
TensorFlow is an open source platform for machine learning. If `MirrorPadGrad` is given outsize input `paddings`, TensorFlow will give a heap OOB error. We have patched the issue in GitHub commit 717ca98d8c3bba348ff62281fdf38dcb5ea1ec92. The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range.
Problem types: cwe_id: CWE-125
description: CWE-125: Out-of-bounds Read
Affected products: vendor: tensorflow
product: tensorflow
CVSS v3.1: version: 3.1
vectorString: CVSS:3.1/AV:N/AC:H/PR:L/UI:R/S:U/C:N/I:N/A:H
attackVector: NETWORK
attackComplexity: HIGH
privilegesRequired: LOW
userInteraction: REQUIRED
scope: UNCHANGED
confidentialityImpact: NONE
integrityImpact: NONE
availabilityImpact: HIGH
baseScore: 4.8
baseSeverity: MEDIUM
Published: 2022-11-18T00:00:00.000Z
CVE-2022-41896 `tf.raw_ops.Mfcc` crashes in Tensorflow
TensorFlow is an open source platform for machine learning. If `ThreadUnsafeUnigramCandidateSampler` is given input `filterbank_channel_count` greater than the allowed max size, TensorFlow will crash. We have patched the issue in GitHub commit 39ec7eaf1428e90c37787e5b3fbd68ebd3c48860. The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range.
Problem types: cwe_id: CWE-20
description: CWE-20: Improper Input Validation
Affected products: vendor: tensorflow
product: tensorflow
CVSS v3.1: version: 3.1
vectorString: CVSS:3.1/AV:N/AC:H/PR:L/UI:R/S:U/C:N/I:N/A:H
attackVector: NETWORK
attackComplexity: HIGH
privilegesRequired: LOW
userInteraction: REQUIRED
scope: UNCHANGED
confidentialityImpact: NONE
integrityImpact: NONE
availabilityImpact: HIGH
baseScore: 4.8
baseSeverity: MEDIUM
Published: 2022-11-18T00:00:00.000Z