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Vulnerability Details :

CVE-2021-41215

Summary
Assigner-GitHub_M
Assigner Org ID-a0819718-46f1-4df5-94e2-005712e83aaa
Published At-05 Nov, 2021 | 20:55
Updated At-04 Aug, 2024 | 03:08
Rejected At-
Credits

Null pointer exception in `DeserializeSparse`

TensorFlow is an open source platform for machine learning. In affected versions the shape inference code for `DeserializeSparse` can trigger a null pointer dereference. This is because the shape inference function assumes that the `serialize_sparse` tensor is a tensor with positive rank (and having `3` as the last dimension). The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range.

Vendors
-
Not available
Products
-
Metrics (CVSS)
VersionBase scoreBase severityVector
Weaknesses
Attack Patterns
Solution/Workaround
References
HyperlinkResource Type
EPSS History
Score
Latest Score
-
N/A
No data available for selected date range
Percentile
Latest Percentile
-
N/A
No data available for selected date range
Stakeholder-Specific Vulnerability Categorization (SSVC)
▼Common Vulnerabilities and Exposures (CVE)
cve.org
Assigner:GitHub_M
Assigner Org ID:a0819718-46f1-4df5-94e2-005712e83aaa
Published At:05 Nov, 2021 | 20:55
Updated At:04 Aug, 2024 | 03:08
Rejected At:
▼CVE Numbering Authority (CNA)
Null pointer exception in `DeserializeSparse`

TensorFlow is an open source platform for machine learning. In affected versions the shape inference code for `DeserializeSparse` can trigger a null pointer dereference. This is because the shape inference function assumes that the `serialize_sparse` tensor is a tensor with positive rank (and having `3` as the last dimension). The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range.

Affected Products
Vendor
TensorFlowtensorflow
Product
tensorflow
Versions
Affected
  • >= 2.6.0, < 2.6.1
  • >= 2.5.0, < 2.5.2
  • < 2.4.4
Problem Types
TypeCWE IDDescription
CWECWE-476CWE-476: NULL Pointer Dereference
Type: CWE
CWE ID: CWE-476
Description: CWE-476: NULL Pointer Dereference
Metrics
VersionBase scoreBase severityVector
3.15.5MEDIUM
CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H
Version: 3.1
Base score: 5.5
Base severity: MEDIUM
Vector:
CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H
Metrics Other Info
Impacts
CAPEC IDDescription
Solutions

Configurations

Workarounds

Exploits

Credits

Timeline
EventDate
Replaced By

Rejected Reason

References
HyperlinkResource
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-x3v8-c8qx-3j3r
x_refsource_CONFIRM
https://github.com/tensorflow/tensorflow/commit/d3738dd70f1c9ceb547258cbb82d853da8771850
x_refsource_MISC
Hyperlink: https://github.com/tensorflow/tensorflow/security/advisories/GHSA-x3v8-c8qx-3j3r
Resource:
x_refsource_CONFIRM
Hyperlink: https://github.com/tensorflow/tensorflow/commit/d3738dd70f1c9ceb547258cbb82d853da8771850
Resource:
x_refsource_MISC
▼Authorized Data Publishers (ADP)
CVE Program Container
Affected Products
Metrics
VersionBase scoreBase severityVector
Metrics Other Info
Impacts
CAPEC IDDescription
Solutions

Configurations

Workarounds

Exploits

Credits

Timeline
EventDate
Replaced By

Rejected Reason

References
HyperlinkResource
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-x3v8-c8qx-3j3r
x_refsource_CONFIRM
x_transferred
https://github.com/tensorflow/tensorflow/commit/d3738dd70f1c9ceb547258cbb82d853da8771850
x_refsource_MISC
x_transferred
Hyperlink: https://github.com/tensorflow/tensorflow/security/advisories/GHSA-x3v8-c8qx-3j3r
Resource:
x_refsource_CONFIRM
x_transferred
Hyperlink: https://github.com/tensorflow/tensorflow/commit/d3738dd70f1c9ceb547258cbb82d853da8771850
Resource:
x_refsource_MISC
x_transferred
Information is not available yet
▼National Vulnerability Database (NVD)
nvd.nist.gov
Source:security-advisories@github.com
Published At:05 Nov, 2021 | 21:15
Updated At:09 Nov, 2021 | 16:24

TensorFlow is an open source platform for machine learning. In affected versions the shape inference code for `DeserializeSparse` can trigger a null pointer dereference. This is because the shape inference function assumes that the `serialize_sparse` tensor is a tensor with positive rank (and having `3` as the last dimension). The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range.

CISA Catalog
Date AddedDue DateVulnerability NameRequired Action
N/A
Date Added: N/A
Due Date: N/A
Vulnerability Name: N/A
Required Action: N/A
Metrics
TypeVersionBase scoreBase severityVector
Primary3.15.5MEDIUM
CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H
Secondary3.15.5MEDIUM
CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H
Primary2.02.1LOW
AV:L/AC:L/Au:N/C:N/I:N/A:P
Type: Primary
Version: 3.1
Base score: 5.5
Base severity: MEDIUM
Vector:
CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H
Type: Secondary
Version: 3.1
Base score: 5.5
Base severity: MEDIUM
Vector:
CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H
Type: Primary
Version: 2.0
Base score: 2.1
Base severity: LOW
Vector:
AV:L/AC:L/Au:N/C:N/I:N/A:P
CPE Matches

Google LLC
google
>>tensorflow>>Versions before 2.4.4(exclusive)
cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:*
Google LLC
google
>>tensorflow>>Versions from 2.5.0(inclusive) to 2.5.2(exclusive)
cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:*
Google LLC
google
>>tensorflow>>2.6.0
cpe:2.3:a:google:tensorflow:2.6.0:*:*:*:*:*:*:*
Weaknesses
CWE IDTypeSource
CWE-476Primarynvd@nist.gov
CWE-476Secondarysecurity-advisories@github.com
CWE ID: CWE-476
Type: Primary
Source: nvd@nist.gov
CWE ID: CWE-476
Type: Secondary
Source: security-advisories@github.com
Evaluator Description

Evaluator Impact

Evaluator Solution

Vendor Statements

References
HyperlinkSourceResource
https://github.com/tensorflow/tensorflow/commit/d3738dd70f1c9ceb547258cbb82d853da8771850security-advisories@github.com
Patch
Third Party Advisory
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-x3v8-c8qx-3j3rsecurity-advisories@github.com
Exploit
Patch
Third Party Advisory
Hyperlink: https://github.com/tensorflow/tensorflow/commit/d3738dd70f1c9ceb547258cbb82d853da8771850
Source: security-advisories@github.com
Resource:
Patch
Third Party Advisory
Hyperlink: https://github.com/tensorflow/tensorflow/security/advisories/GHSA-x3v8-c8qx-3j3r
Source: security-advisories@github.com
Resource:
Exploit
Patch
Third Party Advisory

Change History

0
Information is not available yet

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Matching Score-8
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Assigner-GitHub, Inc.
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||
7 Day CHG~0.00%
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Action-Not Available
Vendor-Google LLCTensorFlow
Product-tensorflowtensorflow
CWE ID-CWE-190
Integer Overflow or Wraparound
CVE-2021-41225
Matching Score-8
Assigner-GitHub, Inc.
ShareView Details
Matching Score-8
Assigner-GitHub, Inc.
CVSS Score-5.5||MEDIUM
EPSS-0.02% / 3.05%
||
7 Day CHG~0.00%
Published-05 Nov, 2021 | 22:30
Updated-04 Aug, 2024 | 03:08
Rejected-Not Available
Known To Be Used In Ransomware Campaigns?-Not Available
KEV Added-Not Available
KEV Action Due Date-Not Available
A use of uninitialized value vulnerability in Tensorflow

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Action-Not Available
Vendor-Google LLCTensorFlow
Product-tensorflowtensorflow
CWE ID-CWE-908
Use of Uninitialized Resource
CVE-2021-41213
Matching Score-8
Assigner-GitHub, Inc.
ShareView Details
Matching Score-8
Assigner-GitHub, Inc.
CVSS Score-5.5||MEDIUM
EPSS-0.08% / 24.39%
||
7 Day CHG~0.00%
Published-05 Nov, 2021 | 22:10
Updated-04 Aug, 2024 | 03:08
Rejected-Not Available
Known To Be Used In Ransomware Campaigns?-Not Available
KEV Added-Not Available
KEV Action Due Date-Not Available
Deadlock in mutually recursive `tf.function` objects

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Action-Not Available
Vendor-Google LLCTensorFlow
Product-tensorflowtensorflow
CWE ID-CWE-667
Improper Locking
CWE ID-CWE-662
Improper Synchronization
CVE-2021-41196
Matching Score-8
Assigner-GitHub, Inc.
ShareView Details
Matching Score-8
Assigner-GitHub, Inc.
CVSS Score-5.5||MEDIUM
EPSS-0.05% / 14.62%
||
7 Day CHG~0.00%
Published-05 Nov, 2021 | 19:55
Updated-04 Aug, 2024 | 03:08
Rejected-Not Available
Known To Be Used In Ransomware Campaigns?-Not Available
KEV Added-Not Available
KEV Action Due Date-Not Available
Crash in `max_pool3d` when size argument is 0 or negative

TensorFlow is an open source platform for machine learning. In affected versions the Keras pooling layers can trigger a segfault if the size of the pool is 0 or if a dimension is negative. This is due to the TensorFlow's implementation of pooling operations where the values in the sliding window are not checked to be strictly positive. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range.

Action-Not Available
Vendor-Google LLCTensorFlow
Product-tensorflowtensorflow
CWE ID-CWE-191
Integer Underflow (Wrap or Wraparound)
CVE-2021-41202
Matching Score-8
Assigner-GitHub, Inc.
ShareView Details
Matching Score-8
Assigner-GitHub, Inc.
CVSS Score-5.5||MEDIUM
EPSS-0.04% / 9.77%
||
7 Day CHG~0.00%
Published-05 Nov, 2021 | 21:45
Updated-04 Aug, 2024 | 03:08
Rejected-Not Available
Known To Be Used In Ransomware Campaigns?-Not Available
KEV Added-Not Available
KEV Action Due Date-Not Available
Overflow/crash in `tf.range`

TensorFlow is an open source platform for machine learning. In affected versions while calculating the size of the output within the `tf.range` kernel, there is a conditional statement of type `int64 = condition ? int64 : double`. Due to C++ implicit conversion rules, both branches of the condition will be cast to `double` and the result would be truncated before the assignment. This result in overflows. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range.

Action-Not Available
Vendor-Google LLCTensorFlow
Product-tensorflowtensorflow
CWE ID-CWE-681
Incorrect Conversion between Numeric Types
CVE-2021-39624
Matching Score-8
Assigner-Android (associated with Google Inc. or Open Handset Alliance)
ShareView Details
Matching Score-8
Assigner-Android (associated with Google Inc. or Open Handset Alliance)
CVSS Score-5.5||MEDIUM
EPSS-0.04% / 12.06%
||
7 Day CHG~0.00%
Published-16 Mar, 2022 | 14:04
Updated-04 Aug, 2024 | 02:13
Rejected-Not Available
Known To Be Used In Ransomware Campaigns?-Not Available
KEV Added-Not Available
KEV Action Due Date-Not Available

In PackageManager, there is a possible permanent denial of service due to resource exhaustion. This could lead to local denial of service with User execution privileges needed. User interaction is not needed for exploitation.Product: AndroidVersions: Android-10 Android-11 Android-12 Android-12LAndroid ID: A-67862680

Action-Not Available
Vendor-n/aGoogle LLC
Product-androidAndroid
CVE-2021-39659
Matching Score-8
Assigner-Android (associated with Google Inc. or Open Handset Alliance)
ShareView Details
Matching Score-8
Assigner-Android (associated with Google Inc. or Open Handset Alliance)
CVSS Score-5.5||MEDIUM
EPSS-0.01% / 1.99%
||
7 Day CHG~0.00%
Published-14 Jan, 2022 | 19:11
Updated-04 Aug, 2024 | 02:13
Rejected-Not Available
Known To Be Used In Ransomware Campaigns?-Not Available
KEV Added-Not Available
KEV Action Due Date-Not Available

In sortSimPhoneAccountsForEmergency of CreateConnectionProcessor.java, there is a possible prevention of access to emergency calling due to an unhandled exception. In rare instances, this could lead to local denial of service with User execution privileges needed. User interaction is not needed for exploitation.Product: AndroidVersions: Android-10 Android-11 Android-12Android ID: A-208267659

Action-Not Available
Vendor-n/aGoogle LLC
Product-androidAndroid
CWE ID-CWE-755
Improper Handling of Exceptional Conditions
CVE-2021-39774
Matching Score-8
Assigner-Android (associated with Google Inc. or Open Handset Alliance)
ShareView Details
Matching Score-8
Assigner-Android (associated with Google Inc. or Open Handset Alliance)
CVSS Score-5.5||MEDIUM
EPSS-0.01% / 1.78%
||
7 Day CHG~0.00%
Published-30 Mar, 2022 | 16:02
Updated-04 Aug, 2024 | 02:13
Rejected-Not Available
Known To Be Used In Ransomware Campaigns?-Not Available
KEV Added-Not Available
KEV Action Due Date-Not Available

In Bluetooth, there is a possible out of bounds read due to a missing bounds check. This could lead to local denial of service with no additional execution privileges needed. User interaction is not needed for exploitation.Product: AndroidVersions: Android-12LAndroid ID: A-205989472

Action-Not Available
Vendor-n/aGoogle LLC
Product-androidAndroid
CWE ID-CWE-125
Out-of-bounds Read
CVE-2022-23594
Matching Score-8
Assigner-GitHub, Inc.
ShareView Details
Matching Score-8
Assigner-GitHub, Inc.
CVSS Score-8.8||HIGH
EPSS-0.02% / 3.05%
||
7 Day CHG~0.00%
Published-04 Feb, 2022 | 22:32
Updated-23 Apr, 2025 | 19:08
Rejected-Not Available
Known To Be Used In Ransomware Campaigns?-Not Available
KEV Added-Not Available
KEV Action Due Date-Not Available
Out of bounds read in Tensorflow

Tensorflow is an Open Source Machine Learning Framework. The TFG dialect of TensorFlow (MLIR) makes several assumptions about the incoming `GraphDef` before converting it to the MLIR-based dialect. If an attacker changes the `SavedModel` format on disk to invalidate these assumptions and the `GraphDef` is then converted to MLIR-based IR then they can cause a crash in the Python interpreter. Under certain scenarios, heap OOB read/writes are possible. These issues have been discovered via fuzzing and it is possible that more weaknesses exist. We will patch them as they are discovered.

Action-Not Available
Vendor-Google LLCTensorFlow
Product-tensorflowtensorflow
CWE ID-CWE-125
Out-of-bounds Read
CWE ID-CWE-787
Out-of-bounds Write
CVE-2021-39670
Matching Score-8
Assigner-Android (associated with Google Inc. or Open Handset Alliance)
ShareView Details
Matching Score-8
Assigner-Android (associated with Google Inc. or Open Handset Alliance)
CVSS Score-5.5||MEDIUM
EPSS-0.02% / 4.96%
||
7 Day CHG~0.00%
Published-10 May, 2022 | 19:54
Updated-04 Aug, 2024 | 02:13
Rejected-Not Available
Known To Be Used In Ransomware Campaigns?-Not Available
KEV Added-Not Available
KEV Action Due Date-Not Available

In setStream of WallpaperManager.java, there is a possible way to cause a permanent DoS due to improper input validation. This could lead to local denial of service with User execution privileges needed. User interaction is not needed for exploitation.Product: AndroidVersions: Android-12 Android-12LAndroid ID: A-204087139

Action-Not Available
Vendor-n/aGoogle LLC
Product-androidAndroid
CWE ID-CWE-770
Allocation of Resources Without Limits or Throttling
CVE-2021-39690
Matching Score-8
Assigner-Android (associated with Google Inc. or Open Handset Alliance)
ShareView Details
Matching Score-8
Assigner-Android (associated with Google Inc. or Open Handset Alliance)
CVSS Score-5.5||MEDIUM
EPSS-0.01% / 1.21%
||
7 Day CHG~0.00%
Published-16 Mar, 2022 | 14:04
Updated-04 Aug, 2024 | 02:13
Rejected-Not Available
Known To Be Used In Ransomware Campaigns?-Not Available
KEV Added-Not Available
KEV Action Due Date-Not Available

In setDisplayPadding of WallpaperManagerService.java, there is a possible way to cause a persistent DoS due to improper input validation. This could lead to local denial of service with no additional execution privileges needed. User interaction is not needed for exploitation.Product: AndroidVersions: Android-12Android ID: A-204316511

Action-Not Available
Vendor-n/aGoogle LLC
Product-androidAndroid
CWE ID-CWE-1284
Improper Validation of Specified Quantity in Input
CVE-2021-37644
Matching Score-8
Assigner-GitHub, Inc.
ShareView Details
Matching Score-8
Assigner-GitHub, Inc.
CVSS Score-5.5||MEDIUM
EPSS-0.01% / 1.06%
||
7 Day CHG~0.00%
Published-12 Aug, 2021 | 20:35
Updated-04 Aug, 2024 | 01:23
Rejected-Not Available
Known To Be Used In Ransomware Campaigns?-Not Available
KEV Added-Not Available
KEV Action Due Date-Not Available
`std::abort` raised from `TensorListReserve` in TensorFlow

TensorFlow is an end-to-end open source platform for machine learning. In affected versions providing a negative element to `num_elements` list argument of `tf.raw_ops.TensorListReserve` causes the runtime to abort the process due to reallocating a `std::vector` to have a negative number of elements. The [implementation](https://github.com/tensorflow/tensorflow/blob/8d72537c6abf5a44103b57b9c2e22c14f5f49698/tensorflow/core/kernels/list_kernels.cc#L312) calls `std::vector.resize()` with the new size controlled by input given by the user, without checking that this input is valid. We have patched the issue in GitHub commit 8a6e874437670045e6c7dc6154c7412b4a2135e2. The fix will be included in TensorFlow 2.6.0. We will also cherrypick this commit on TensorFlow 2.5.1, TensorFlow 2.4.3, and TensorFlow 2.3.4, as these are also affected and still in supported range.

Action-Not Available
Vendor-Google LLCTensorFlow
Product-tensorflowtensorflow
CWE ID-CWE-617
Reachable Assertion
CVE-2021-37646
Matching Score-8
Assigner-GitHub, Inc.
ShareView Details
Matching Score-8
Assigner-GitHub, Inc.
CVSS Score-5.5||MEDIUM
EPSS-0.01% / 1.06%
||
7 Day CHG~0.00%
Published-12 Aug, 2021 | 21:10
Updated-04 Aug, 2024 | 01:23
Rejected-Not Available
Known To Be Used In Ransomware Campaigns?-Not Available
KEV Added-Not Available
KEV Action Due Date-Not Available
Bad alloc in `StringNGrams` caused by integer conversion in TensorFlow

TensorFlow is an end-to-end open source platform for machine learning. In affected versions the implementation of `tf.raw_ops.StringNGrams` is vulnerable to an integer overflow issue caused by converting a signed integer value to an unsigned one and then allocating memory based on this value. The [implementation](https://github.com/tensorflow/tensorflow/blob/8d72537c6abf5a44103b57b9c2e22c14f5f49698/tensorflow/core/kernels/string_ngrams_op.cc#L184) calls `reserve` on a `tstring` with a value that sometimes can be negative if user supplies negative `ngram_widths`. The `reserve` method calls `TF_TString_Reserve` which has an `unsigned long` argument for the size of the buffer. Hence, the implicit conversion transforms the negative value to a large integer. We have patched the issue in GitHub commit c283e542a3f422420cfdb332414543b62fc4e4a5. The fix will be included in TensorFlow 2.6.0. We will also cherrypick this commit on TensorFlow 2.5.1, TensorFlow 2.4.3, and TensorFlow 2.3.4, as these are also affected and still in supported range.

Action-Not Available
Vendor-Google LLCTensorFlow
Product-tensorflowtensorflow
CWE ID-CWE-681
Incorrect Conversion between Numeric Types
CVE-2021-37640
Matching Score-8
Assigner-GitHub, Inc.
ShareView Details
Matching Score-8
Assigner-GitHub, Inc.
CVSS Score-5.5||MEDIUM
EPSS-0.01% / 1.06%
||
7 Day CHG~0.00%
Published-12 Aug, 2021 | 17:35
Updated-04 Aug, 2024 | 01:23
Rejected-Not Available
Known To Be Used In Ransomware Campaigns?-Not Available
KEV Added-Not Available
KEV Action Due Date-Not Available
Integer division by 0 in sparse reshaping in TensorFlow

TensorFlow is an end-to-end open source platform for machine learning. In affected versions the implementation of `tf.raw_ops.SparseReshape` can be made to trigger an integral division by 0 exception. The [implementation](https://github.com/tensorflow/tensorflow/blob/8d72537c6abf5a44103b57b9c2e22c14f5f49698/tensorflow/core/kernels/reshape_util.cc#L176-L181) calls the reshaping functor whenever there is at least an index in the input but does not check that shape of the input or the target shape have both a non-zero number of elements. The [reshape functor](https://github.com/tensorflow/tensorflow/blob/8d72537c6abf5a44103b57b9c2e22c14f5f49698/tensorflow/core/kernels/reshape_util.cc#L40-L78) blindly divides by the dimensions of the target shape. Hence, if this is not checked, code will result in a division by 0. We have patched the issue in GitHub commit 4923de56ec94fff7770df259ab7f2288a74feb41. The fix will be included in TensorFlow 2.6.0. We will also cherrypick this commit on TensorFlow 2.5.1 as this is the other affected version.

Action-Not Available
Vendor-Google LLCTensorFlow
Product-tensorflowtensorflow
CWE ID-CWE-369
Divide By Zero
CVE-2021-37677
Matching Score-8
Assigner-GitHub, Inc.
ShareView Details
Matching Score-8
Assigner-GitHub, Inc.
CVSS Score-5.5||MEDIUM
EPSS-0.01% / 0.42%
||
7 Day CHG~0.00%
Published-12 Aug, 2021 | 22:35
Updated-04 Aug, 2024 | 01:23
Rejected-Not Available
Known To Be Used In Ransomware Campaigns?-Not Available
KEV Added-Not Available
KEV Action Due Date-Not Available
Missing validation in shape inference for `Dequantize` in TensorFlow

TensorFlow is an end-to-end open source platform for machine learning. In affected versions the shape inference code for `tf.raw_ops.Dequantize` has a vulnerability that could trigger a denial of service via a segfault if an attacker provides invalid arguments. The shape inference [implementation](https://github.com/tensorflow/tensorflow/blob/460e000de3a83278fb00b61a16d161b1964f15f4/tensorflow/core/ops/array_ops.cc#L2999-L3014) uses `axis` to select between two different values for `minmax_rank` which is then used to retrieve tensor dimensions. However, code assumes that `axis` can be either `-1` or a value greater than `-1`, with no validation for the other values. We have patched the issue in GitHub commit da857cfa0fde8f79ad0afdbc94e88b5d4bbec764. The fix will be included in TensorFlow 2.6.0. We will also cherrypick this commit on TensorFlow 2.5.1, TensorFlow 2.4.3, and TensorFlow 2.3.4, as these are also affected and still in supported range.

Action-Not Available
Vendor-Google LLCTensorFlow
Product-tensorflowtensorflow
CWE ID-CWE-20
Improper Input Validation
CWE ID-CWE-1284
Improper Validation of Specified Quantity in Input
CVE-2021-37684
Matching Score-8
Assigner-GitHub, Inc.
ShareView Details
Matching Score-8
Assigner-GitHub, Inc.
CVSS Score-5.5||MEDIUM
EPSS-0.01% / 0.37%
||
7 Day CHG~0.00%
Published-12 Aug, 2021 | 22:30
Updated-04 Aug, 2024 | 01:23
Rejected-Not Available
Known To Be Used In Ransomware Campaigns?-Not Available
KEV Added-Not Available
KEV Action Due Date-Not Available
Division by zero in TensorFlow Lite pooling operations

TensorFlow is an end-to-end open source platform for machine learning. In affected versions the implementations of pooling in TFLite are vulnerable to division by 0 errors as there are no checks for divisors not being 0. We have patched the issue in GitHub commit [dfa22b348b70bb89d6d6ec0ff53973bacb4f4695](https://github.com/tensorflow/tensorflow/commit/dfa22b348b70bb89d6d6ec0ff53973bacb4f4695). The fix will be included in TensorFlow 2.6.0. We will also cherrypick this commit on TensorFlow 2.5.1, TensorFlow 2.4.3, and TensorFlow 2.3.4, as these are also affected and still in supported range.

Action-Not Available
Vendor-Google LLCTensorFlow
Product-tensorflowtensorflow
CWE ID-CWE-369
Divide By Zero
CVE-2021-37683
Matching Score-8
Assigner-GitHub, Inc.
ShareView Details
Matching Score-8
Assigner-GitHub, Inc.
CVSS Score-5.5||MEDIUM
EPSS-0.01% / 1.06%
||
7 Day CHG~0.00%
Published-12 Aug, 2021 | 22:30
Updated-04 Aug, 2024 | 01:23
Rejected-Not Available
Known To Be Used In Ransomware Campaigns?-Not Available
KEV Added-Not Available
KEV Action Due Date-Not Available
Division by zero in TensorFlow Lite division operations

TensorFlow is an end-to-end open source platform for machine learning. In affected versions the implementation of division in TFLite is [vulnerable to a division by 0 error](https://github.com/tensorflow/tensorflow/blob/460e000de3a83278fb00b61a16d161b1964f15f4/tensorflow/lite/kernels/div.cc). There is no check that the divisor tensor does not contain zero elements. We have patched the issue in GitHub commit 1e206baedf8bef0334cca3eb92bab134ef525a28. The fix will be included in TensorFlow 2.6.0. We will also cherrypick this commit on TensorFlow 2.5.1, TensorFlow 2.4.3, and TensorFlow 2.3.4, as these are also affected and still in supported range.

Action-Not Available
Vendor-Google LLCTensorFlow
Product-tensorflowtensorflow
CWE ID-CWE-369
Divide By Zero
CVE-2021-37642
Matching Score-8
Assigner-GitHub, Inc.
ShareView Details
Matching Score-8
Assigner-GitHub, Inc.
CVSS Score-5.5||MEDIUM
EPSS-0.01% / 1.06%
||
7 Day CHG~0.00%
Published-12 Aug, 2021 | 17:35
Updated-04 Aug, 2024 | 01:23
Rejected-Not Available
Known To Be Used In Ransomware Campaigns?-Not Available
KEV Added-Not Available
KEV Action Due Date-Not Available
Division by 0 in `ResourceScatterDiv` in TensorFlow

TensorFlow is an end-to-end open source platform for machine learning. In affected versions the implementation of `tf.raw_ops.ResourceScatterDiv` is vulnerable to a division by 0 error. The [implementation](https://github.com/tensorflow/tensorflow/blob/8d72537c6abf5a44103b57b9c2e22c14f5f49698/tensorflow/core/kernels/resource_variable_ops.cc#L865) uses a common class for all binary operations but fails to treat the division by 0 case separately. We have patched the issue in GitHub commit 4aacb30888638da75023e6601149415b39763d76. The fix will be included in TensorFlow 2.6.0. We will also cherrypick this commit on TensorFlow 2.5.1, TensorFlow 2.4.3, and TensorFlow 2.3.4, as these are also affected and still in supported range.

Action-Not Available
Vendor-Google LLCTensorFlow
Product-tensorflowtensorflow
CWE ID-CWE-369
Divide By Zero
CVE-2021-37636
Matching Score-8
Assigner-GitHub, Inc.
ShareView Details
Matching Score-8
Assigner-GitHub, Inc.
CVSS Score-5.5||MEDIUM
EPSS-0.01% / 1.06%
||
7 Day CHG~0.00%
Published-12 Aug, 2021 | 17:30
Updated-04 Aug, 2024 | 01:23
Rejected-Not Available
Known To Be Used In Ransomware Campaigns?-Not Available
KEV Added-Not Available
KEV Action Due Date-Not Available
Floating point exception in `SparseDenseCwiseDiv` in TensorFlow

TensorFlow is an end-to-end open source platform for machine learning. In affected versions the implementation of `tf.raw_ops.SparseDenseCwiseDiv` is vulnerable to a division by 0 error. The [implementation](https://github.com/tensorflow/tensorflow/blob/a1bc56203f21a5a4995311825ffaba7a670d7747/tensorflow/core/kernels/sparse_dense_binary_op_shared.cc#L56) uses a common class for all binary operations but fails to treat the division by 0 case separately. We have patched the issue in GitHub commit d9204be9f49520cdaaeb2541d1dc5187b23f31d9. The fix will be included in TensorFlow 2.6.0. We will also cherrypick this commit on TensorFlow 2.5.1, TensorFlow 2.4.3, and TensorFlow 2.3.4, as these are also affected and still in supported range.

Action-Not Available
Vendor-Google LLCTensorFlow
Product-tensorflowtensorflow
CWE ID-CWE-369
Divide By Zero
CVE-2021-37691
Matching Score-8
Assigner-GitHub, Inc.
ShareView Details
Matching Score-8
Assigner-GitHub, Inc.
CVSS Score-5.5||MEDIUM
EPSS-0.01% / 1.06%
||
7 Day CHG~0.00%
Published-12 Aug, 2021 | 22:25
Updated-04 Aug, 2024 | 01:23
Rejected-Not Available
Known To Be Used In Ransomware Campaigns?-Not Available
KEV Added-Not Available
KEV Action Due Date-Not Available
Division by zero in LSH in TensorFlow Lite

TensorFlow is an end-to-end open source platform for machine learning. In affected versions an attacker can craft a TFLite model that would trigger a division by zero error in LSH [implementation](https://github.com/tensorflow/tensorflow/blob/149562d49faa709ea80df1d99fc41d005b81082a/tensorflow/lite/kernels/lsh_projection.cc#L118). We have patched the issue in GitHub commit 0575b640091680cfb70f4dd93e70658de43b94f9. The fix will be included in TensorFlow 2.6.0. We will also cherrypick thiscommit on TensorFlow 2.5.1, TensorFlow 2.4.3, and TensorFlow 2.3.4, as these are also affected and still in supported range.

Action-Not Available
Vendor-Google LLCTensorFlow
Product-tensorflowtensorflow
CWE ID-CWE-369
Divide By Zero
CVE-2021-37673
Matching Score-8
Assigner-GitHub, Inc.
ShareView Details
Matching Score-8
Assigner-GitHub, Inc.
CVSS Score-5.5||MEDIUM
EPSS-0.01% / 1.06%
||
7 Day CHG~0.00%
Published-12 Aug, 2021 | 22:55
Updated-04 Aug, 2024 | 01:23
Rejected-Not Available
Known To Be Used In Ransomware Campaigns?-Not Available
KEV Added-Not Available
KEV Action Due Date-Not Available
`CHECK`-fail in `MapStage` in TensorFlow

TensorFlow is an end-to-end open source platform for machine learning. In affected versions an attacker can trigger a denial of service via a `CHECK`-fail in `tf.raw_ops.MapStage`. The [implementation](https://github.com/tensorflow/tensorflow/blob/460e000de3a83278fb00b61a16d161b1964f15f4/tensorflow/core/kernels/map_stage_op.cc#L513) does not check that the `key` input is a valid non-empty tensor. We have patched the issue in GitHub commit d7de67733925de196ec8863a33445b73f9562d1d. The fix will be included in TensorFlow 2.6.0. We will also cherrypick this commit on TensorFlow 2.5.1, TensorFlow 2.4.3, and TensorFlow 2.3.4, as these are also affected and still in supported range.

Action-Not Available
Vendor-Google LLCTensorFlow
Product-tensorflowtensorflow
CWE ID-CWE-20
Improper Input Validation
CVE-2021-37686
Matching Score-8
Assigner-GitHub, Inc.
ShareView Details
Matching Score-8
Assigner-GitHub, Inc.
CVSS Score-5.5||MEDIUM
EPSS-0.01% / 1.15%
||
7 Day CHG~0.00%
Published-12 Aug, 2021 | 21:55
Updated-13 Nov, 2024 | 21:20
Rejected-Not Available
Known To Be Used In Ransomware Campaigns?-Not Available
KEV Added-Not Available
KEV Action Due Date-Not Available
Infinite loop in TensorFlow Lite

TensorFlow is an end-to-end open source platform for machine learning. In affected versions the strided slice implementation in TFLite has a logic bug which can allow an attacker to trigger an infinite loop. This arises from newly introduced support for [ellipsis in axis definition](https://github.com/tensorflow/tensorflow/blob/149562d49faa709ea80df1d99fc41d005b81082a/tensorflow/lite/kernels/strided_slice.cc#L103-L122). An attacker can craft a model such that `ellipsis_end_idx` is smaller than `i` (e.g., always negative). In this case, the inner loop does not increase `i` and the `continue` statement causes execution to skip over the preincrement at the end of the outer loop. We have patched the issue in GitHub commit dfa22b348b70bb89d6d6ec0ff53973bacb4f4695. TensorFlow 2.6.0 is the only affected version.

Action-Not Available
Vendor-Google LLCTensorFlow
Product-tensorflowtensorflow
CWE ID-CWE-835
Loop with Unreachable Exit Condition ('Infinite Loop')
CVE-2021-37680
Matching Score-8
Assigner-GitHub, Inc.
ShareView Details
Matching Score-8
Assigner-GitHub, Inc.
CVSS Score-5.5||MEDIUM
EPSS-0.01% / 1.06%
||
7 Day CHG~0.00%
Published-12 Aug, 2021 | 21:45
Updated-04 Aug, 2024 | 01:23
Rejected-Not Available
Known To Be Used In Ransomware Campaigns?-Not Available
KEV Added-Not Available
KEV Action Due Date-Not Available
Division by zero in TFLite in TensorFlow

TensorFlow is an end-to-end open source platform for machine learning. In affected versions the implementation of fully connected layers in TFLite is [vulnerable to a division by zero error](https://github.com/tensorflow/tensorflow/blob/460e000de3a83278fb00b61a16d161b1964f15f4/tensorflow/lite/kernels/fully_connected.cc#L226). We have patched the issue in GitHub commit 718721986aa137691ee23f03638867151f74935f. The fix will be included in TensorFlow 2.6.0. We will also cherrypick this commit on TensorFlow 2.5.1, TensorFlow 2.4.3, and TensorFlow 2.3.4, as these are also affected and still in supported range.

Action-Not Available
Vendor-Google LLCTensorFlow
Product-tensorflowtensorflow
CWE ID-CWE-369
Divide By Zero
CVE-2021-37674
Matching Score-8
Assigner-GitHub, Inc.
ShareView Details
Matching Score-8
Assigner-GitHub, Inc.
CVSS Score-5.5||MEDIUM
EPSS-0.03% / 7.45%
||
7 Day CHG~0.00%
Published-12 Aug, 2021 | 22:40
Updated-04 Aug, 2024 | 01:23
Rejected-Not Available
Known To Be Used In Ransomware Campaigns?-Not Available
KEV Added-Not Available
KEV Action Due Date-Not Available
Incomplete validation in `MaxPoolGrad` in TensorFlow

TensorFlow is an end-to-end open source platform for machine learning. In affected versions an attacker can trigger a denial of service via a segmentation fault in `tf.raw_ops.MaxPoolGrad` caused by missing validation. The [implementation](https://github.com/tensorflow/tensorflow/blob/460e000de3a83278fb00b61a16d161b1964f15f4/tensorflow/core/kernels/maxpooling_op.cc) misses some validation for the `orig_input` and `orig_output` tensors. The fixes for CVE-2021-29579 were incomplete. We have patched the issue in GitHub commit 136b51f10903e044308cf77117c0ed9871350475. The fix will be included in TensorFlow 2.6.0. We will also cherrypick this commit on TensorFlow 2.5.1, TensorFlow 2.4.3, and TensorFlow 2.3.4, as these are also affected and still in supported range.

Action-Not Available
Vendor-Google LLCTensorFlow
Product-tensorflowtensorflow
CWE ID-CWE-20
Improper Input Validation
CWE ID-CWE-1284
Improper Validation of Specified Quantity in Input
CVE-2021-37668
Matching Score-8
Assigner-GitHub, Inc.
ShareView Details
Matching Score-8
Assigner-GitHub, Inc.
CVSS Score-5.5||MEDIUM
EPSS-0.01% / 1.06%
||
7 Day CHG~0.00%
Published-12 Aug, 2021 | 22:30
Updated-04 Aug, 2024 | 01:23
Rejected-Not Available
Known To Be Used In Ransomware Campaigns?-Not Available
KEV Added-Not Available
KEV Action Due Date-Not Available
Division by zero in TensorFlow Lite `tf.raw_ops.UnravelIndex`

TensorFlow is an end-to-end open source platform for machine learning. In affected versions an attacker can cause denial of service in applications serving models using `tf.raw_ops.UnravelIndex` by triggering a division by 0. The [implementation](https://github.com/tensorflow/tensorflow/blob/460e000de3a83278fb00b61a16d161b1964f15f4/tensorflow/core/kernels/unravel_index_op.cc#L36) does not check that the tensor subsumed by `dims` is not empty. Hence, if one element of `dims` is 0, the implementation does a division by 0. We have patched the issue in GitHub commit a776040a5e7ebf76eeb7eb923bf1ae417dd4d233. The fix will be included in TensorFlow 2.6.0. We will also cherrypick this commit on TensorFlow 2.5.1, TensorFlow 2.4.3, and TensorFlow 2.3.4, as these are also affected and still in supported range.

Action-Not Available
Vendor-Google LLCTensorFlow
Product-tensorflowtensorflow
CWE ID-CWE-369
Divide By Zero
CVE-2021-37661
Matching Score-8
Assigner-GitHub, Inc.
ShareView Details
Matching Score-8
Assigner-GitHub, Inc.
CVSS Score-5.5||MEDIUM
EPSS-0.01% / 1.06%
||
7 Day CHG~0.00%
Published-12 Aug, 2021 | 21:05
Updated-04 Aug, 2024 | 01:23
Rejected-Not Available
Known To Be Used In Ransomware Campaigns?-Not Available
KEV Added-Not Available
KEV Action Due Date-Not Available
Crash caused by integer conversion to unsigned in TensorFlow

TensorFlow is an end-to-end open source platform for machine learning. In affected versions an attacker can cause a denial of service in `boosted_trees_create_quantile_stream_resource` by using negative arguments. The [implementation](https://github.com/tensorflow/tensorflow/blob/84d053187cb80d975ef2b9684d4b61981bca0c41/tensorflow/core/kernels/boosted_trees/quantile_ops.cc#L96) does not validate that `num_streams` only contains non-negative numbers. In turn, [this results in using this value to allocate memory](https://github.com/tensorflow/tensorflow/blob/84d053187cb80d975ef2b9684d4b61981bca0c41/tensorflow/core/kernels/boosted_trees/quantiles/quantile_stream_resource.h#L31-L40). However, `reserve` receives an unsigned integer so there is an implicit conversion from a negative value to a large positive unsigned. This results in a crash from the standard library. We have patched the issue in GitHub commit 8a84f7a2b5a2b27ecf88d25bad9ac777cd2f7992. The fix will be included in TensorFlow 2.6.0. We will also cherrypick this commit on TensorFlow 2.5.1, TensorFlow 2.4.3, and TensorFlow 2.3.4, as these are also affected and still in supported range.

Action-Not Available
Vendor-Google LLCTensorFlow
Product-tensorflowtensorflow
CWE ID-CWE-681
Incorrect Conversion between Numeric Types
CVE-2022-21746
Matching Score-8
Assigner-MediaTek, Inc.
ShareView Details
Matching Score-8
Assigner-MediaTek, Inc.
CVSS Score-4.4||MEDIUM
EPSS-0.02% / 2.60%
||
7 Day CHG~0.00%
Published-06 Jun, 2022 | 17:29
Updated-03 Aug, 2024 | 02:53
Rejected-Not Available
Known To Be Used In Ransomware Campaigns?-Not Available
KEV Added-Not Available
KEV Action Due Date-Not Available

In imgsensor, there is a possible out of bounds read due to a missing bounds check. This could lead to local denial of service with System execution privileges needed. User interaction is not needed for exploitation. Patch ID: ALPS06479698; Issue ID: ALPS06479698.

Action-Not Available
Vendor-Google LLCMediaTek Inc.
Product-mt8175mt6873mt6893mt8167smt6771mt6833mt6885mt8788mt6781mt8365mt8167mt6853mt8168androidmt8362amt6779mt6785MT6771, MT6779, MT6781, MT6785, MT6833, MT6853, MT6873, MT6885, MT6893, MT8167, MT8167S, MT8168, MT8175, MT8362A, MT8365, MT8788
CWE ID-CWE-125
Out-of-bounds Read
CVE-2021-34405
Matching Score-8
Assigner-NVIDIA Corporation
ShareView Details
Matching Score-8
Assigner-NVIDIA Corporation
CVSS Score-5.5||MEDIUM
EPSS-0.04% / 11.15%
||
7 Day CHG~0.00%
Published-18 Jan, 2022 | 18:05
Updated-04 Aug, 2024 | 00:12
Rejected-Not Available
Known To Be Used In Ransomware Campaigns?-Not Available
KEV Added-Not Available
KEV Action Due Date-Not Available

NVIDIA Linux distributions contain a vulnerability in TrustZone’s TEE_Malloc function, where an unchecked return value causing a null pointer dereference may lead to denial of service.

Action-Not Available
Vendor-Google LLCNVIDIA Corporation
Product-shield_experienceandroidSHIELD TV
CWE ID-CWE-252
Unchecked Return Value
CVE-2022-20143
Matching Score-8
Assigner-Android (associated with Google Inc. or Open Handset Alliance)
ShareView Details
Matching Score-8
Assigner-Android (associated with Google Inc. or Open Handset Alliance)
CVSS Score-5.5||MEDIUM
EPSS-0.01% / 1.99%
||
7 Day CHG~0.00%
Published-15 Jun, 2022 | 13:02
Updated-03 Aug, 2024 | 02:02
Rejected-Not Available
Known To Be Used In Ransomware Campaigns?-Not Available
KEV Added-Not Available
KEV Action Due Date-Not Available

In addAutomaticZenRule of ZenModeHelper.java, there is a possible permanent denial of service due to resource exhaustion. This could lead to local denial of service with User execution privileges needed. User interaction is not needed for exploitation.Product: AndroidVersions: Android-10 Android-11 Android-12 Android-12LAndroid ID: A-220735360

Action-Not Available
Vendor-n/aGoogle LLC
Product-androidAndroid
CWE ID-CWE-770
Allocation of Resources Without Limits or Throttling
CVE-2022-20129
Matching Score-8
Assigner-Android (associated with Google Inc. or Open Handset Alliance)
ShareView Details
Matching Score-8
Assigner-Android (associated with Google Inc. or Open Handset Alliance)
CVSS Score-5.5||MEDIUM
EPSS-0.01% / 1.99%
||
7 Day CHG~0.00%
Published-15 Jun, 2022 | 13:00
Updated-03 Aug, 2024 | 02:02
Rejected-Not Available
Known To Be Used In Ransomware Campaigns?-Not Available
KEV Added-Not Available
KEV Action Due Date-Not Available

In registerPhoneAccount of PhoneAccountRegistrar.java, there is a possible way to prevent the user from selecting a phone account due to improper input validation. This could lead to local denial of service with no additional execution privileges needed. User interaction is not needed for exploitation.Product: AndroidVersions: Android-10 Android-11 Android-12 Android-12LAndroid ID: A-217934478

Action-Not Available
Vendor-n/aGoogle LLC
Product-androidAndroid
CWE ID-CWE-20
Improper Input Validation
CVE-2022-20455
Matching Score-8
Assigner-Android (associated with Google Inc. or Open Handset Alliance)
ShareView Details
Matching Score-8
Assigner-Android (associated with Google Inc. or Open Handset Alliance)
CVSS Score-5.5||MEDIUM
EPSS-0.02% / 3.53%
||
7 Day CHG~0.00%
Published-28 Feb, 2023 | 00:00
Updated-21 Mar, 2025 | 16:15
Rejected-Not Available
Known To Be Used In Ransomware Campaigns?-Not Available
KEV Added-Not Available
KEV Action Due Date-Not Available

In addAutomaticZenRule of ZenModeHelper.java, there is a possible persistent denial of service due to resource exhaustion. This could lead to local denial of service with no additional execution privileges needed. User interaction is not needed for exploitation.Product: AndroidVersions: Android-10 Android-11 Android-12 Android-12L Android-13Android ID: A-242537431

Action-Not Available
Vendor-n/aGoogle LLC
Product-androidAndroid
CWE ID-CWE-400
Uncontrolled Resource Consumption
CVE-2022-20414
Matching Score-8
Assigner-Android (associated with Google Inc. or Open Handset Alliance)
ShareView Details
Matching Score-8
Assigner-Android (associated with Google Inc. or Open Handset Alliance)
CVSS Score-5.5||MEDIUM
EPSS-0.02% / 4.65%
||
7 Day CHG~0.00%
Published-08 Nov, 2022 | 00:00
Updated-01 May, 2025 | 16:15
Rejected-Not Available
Known To Be Used In Ransomware Campaigns?-Not Available
KEV Added-Not Available
KEV Action Due Date-Not Available

In setImpl of AlarmManagerService.java, there is a possible way to put a device into a boot loop due to an uncaught exception. This could lead to local denial of service with no additional execution privileges needed. User interaction is not needed for exploitation.Product: AndroidVersions: Android-10 Android-11 Android-12 Android-12L Android-13Android ID: A-234441463

Action-Not Available
Vendor-n/aGoogle LLC
Product-androidAndroid
CWE ID-CWE-755
Improper Handling of Exceptional Conditions
CVE-2022-20440
Matching Score-8
Assigner-Android (associated with Google Inc. or Open Handset Alliance)
ShareView Details
Matching Score-8
Assigner-Android (associated with Google Inc. or Open Handset Alliance)
CVSS Score-5.5||MEDIUM
EPSS-0.06% / 19.07%
||
7 Day CHG~0.00%
Published-11 Oct, 2022 | 00:00
Updated-03 Aug, 2024 | 02:10
Rejected-Not Available
Known To Be Used In Ransomware Campaigns?-Not Available
KEV Added-Not Available
KEV Action Due Date-Not Available

In Messaging, There has unauthorized broadcast, this could cause Local Deny of Service.Product: AndroidVersions: Android SoCAndroid ID: A-242259918

Action-Not Available
Vendor-n/aGoogle LLC
Product-androidAndroid
CVE-2021-29554
Matching Score-8
Assigner-GitHub, Inc.
ShareView Details
Matching Score-8
Assigner-GitHub, Inc.
CVSS Score-2.5||LOW
EPSS-0.01% / 1.90%
||
7 Day CHG~0.00%
Published-14 May, 2021 | 19:10
Updated-03 Aug, 2024 | 22:11
Rejected-Not Available
Known To Be Used In Ransomware Campaigns?-Not Available
KEV Added-Not Available
KEV Action Due Date-Not Available
Division by 0 in `DenseCountSparseOutput`

TensorFlow is an end-to-end open source platform for machine learning. An attacker can cause a denial of service via a FPE runtime error in `tf.raw_ops.DenseCountSparseOutput`. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/efff014f3b2d8ef6141da30c806faf141297eca1/tensorflow/core/kernels/count_ops.cc#L123-L127) computes a divisor value from user data but does not check that the result is 0 before doing the division. Since `data` is given by the `values` argument, `num_batch_elements` is 0. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, and TensorFlow 2.3.3, as these are also affected.

Action-Not Available
Vendor-Google LLCTensorFlow
Product-tensorflowtensorflow
CWE ID-CWE-369
Divide By Zero
CVE-2021-29584
Matching Score-8
Assigner-GitHub, Inc.
ShareView Details
Matching Score-8
Assigner-GitHub, Inc.
CVSS Score-2.5||LOW
EPSS-0.01% / 0.96%
||
7 Day CHG~0.00%
Published-14 May, 2021 | 19:15
Updated-03 Aug, 2024 | 22:11
Rejected-Not Available
Known To Be Used In Ransomware Campaigns?-Not Available
KEV Added-Not Available
KEV Action Due Date-Not Available
CHECK-fail due to integer overflow

TensorFlow is an end-to-end open source platform for machine learning. An attacker can trigger a denial of service via a `CHECK`-fail in caused by an integer overflow in constructing a new tensor shape. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/0908c2f2397c099338b901b067f6495a5b96760b/tensorflow/core/kernels/sparse_split_op.cc#L66-L70) builds a dense shape without checking that the dimensions would not result in overflow. The `TensorShape` constructor(https://github.com/tensorflow/tensorflow/blob/6f9896890c4c703ae0a0845394086e2e1e523299/tensorflow/core/framework/tensor_shape.cc#L183-L188) uses a `CHECK` operation which triggers when `InitDims`(https://github.com/tensorflow/tensorflow/blob/6f9896890c4c703ae0a0845394086e2e1e523299/tensorflow/core/framework/tensor_shape.cc#L212-L296) returns a non-OK status. This is a legacy implementation of the constructor and operations should use `BuildTensorShapeBase` or `AddDimWithStatus` to prevent `CHECK`-failures in the presence of overflows. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, as these are also affected and still in supported range.

Action-Not Available
Vendor-Google LLCTensorFlow
Product-tensorflowtensorflow
CWE ID-CWE-190
Integer Overflow or Wraparound
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