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| purl | pkg:pypi/tensorflow-gpu@2.3.4 |
| Vulnerability | Summary | Fixed by |
|---|---|---|
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VCID-1sqz-62wf-nbd5
Aliases: CVE-2020-15266 GHSA-xwhf-g6j5-j5gc PYSEC-2020-139 PYSEC-2020-296 PYSEC-2020-331 |
In Tensorflow before version 2.4.0, when the `boxes` argument of `tf.image.crop_and_resize` has a very large value, the CPU kernel implementation receives it as a C++ `nan` floating point value. Attempting to operate on this is undefined behavior which later produces a segmentation fault. The issue is patched in eccb7ec454e6617738554a255d77f08e60ee0808 and TensorFlow 2.4.0 will be released containing the patch. TensorFlow nightly packages after this commit will also have the issue resolved. |
Affected by 251 other vulnerabilities. |
|
VCID-217a-71wn-nybg
Aliases: CVE-2022-23572 GHSA-rww7-2gpw-fv6j PYSEC-2022-136 PYSEC-2022-81 |
Tensorflow is an Open Source Machine Learning Framework. Under certain scenarios, TensorFlow can fail to specialize a type during shape inference. This case is covered by the `DCHECK` function however, `DCHECK` is a no-op in production builds and an assertion failure in debug builds. In the first case execution proceeds to the `ValueOrDie` line. This results in an assertion failure as `ret` contains an error `Status`, not a value. In the second case we also get a crash due to the assertion failure. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, and TensorFlow 2.6.3, as these are also affected and still in supported range. |
Affected by 1 other vulnerability. Affected by 1 other vulnerability. Affected by 2 other vulnerabilities. |
|
VCID-26ws-81w3-q7cz
Aliases: CVE-2020-15265 GHSA-rrfp-j2mp-hq9c PYSEC-2020-138 PYSEC-2020-295 PYSEC-2020-330 |
In Tensorflow before version 2.4.0, an attacker can pass an invalid `axis` value to `tf.quantization.quantize_and_dequantize`. This results in accessing a dimension outside the rank of the input tensor in the C++ kernel implementation. However, dim_size only does a DCHECK to validate the argument and then uses it to access the corresponding element of an array. Since in normal builds, `DCHECK`-like macros are no-ops, this results in segfault and access out of bounds of the array. The issue is patched in eccb7ec454e6617738554a255d77f08e60ee0808 and TensorFlow 2.4.0 will be released containing the patch. TensorFlow nightly packages after this commit will also have the issue resolved. |
Affected by 251 other vulnerabilities. |
|
VCID-2hj4-bbfq-xqfj
Aliases: CVE-2022-23575 GHSA-c94w-c95p-phf8 PYSEC-2022-139 PYSEC-2022-84 |
Tensorflow is an Open Source Machine Learning Framework. The implementation of `OpLevelCostEstimator::CalculateTensorSize` is vulnerable to an integer overflow if an attacker can create an operation which would involve a tensor with large enough number of elements. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range. |
Affected by 1 other vulnerability. Affected by 1 other vulnerability. Affected by 2 other vulnerabilities. |
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VCID-2sak-438s-bbg8
Aliases: CVE-2022-23566 GHSA-5qw5-89mw-wcg2 PYSEC-2022-130 PYSEC-2022-75 |
Tensorflow is an Open Source Machine Learning Framework. TensorFlow is vulnerable to a heap OOB write in `Grappler`. The `set_output` function writes to an array at the specified index. Hence, this gives a malicious user a write primitive. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range. |
Affected by 1 other vulnerability. Affected by 1 other vulnerability. Affected by 2 other vulnerabilities. |
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VCID-2t7w-zpd8-suc9
Aliases: CVE-2022-23563 GHSA-wc4g-r73w-x8mm PYSEC-2022-127 PYSEC-2022-72 |
Tensorflow is an Open Source Machine Learning Framework. In multiple places, TensorFlow uses `tempfile.mktemp` to create temporary files. While this is acceptable in testing, in utilities and libraries it is dangerous as a different process can create the file between the check for the filename in `mktemp` and the actual creation of the file by a subsequent operation (a TOC/TOU type of weakness). In several instances, TensorFlow was supposed to actually create a temporary directory instead of a file. This logic bug is hidden away by the `mktemp` function usage. We have patched the issue in several commits, replacing `mktemp` with the safer `mkstemp`/`mkdtemp` functions, according to the usage pattern. Users are advised to upgrade as soon as possible. |
Affected by 1 other vulnerability. Affected by 1 other vulnerability. Affected by 2 other vulnerabilities. |
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VCID-3y5w-424q-8qcn
Aliases: CVE-2022-21726 GHSA-23hm-7w47-xw72 PYSEC-2022-105 PYSEC-2022-50 |
Tensorflow is an Open Source Machine Learning Framework. The implementation of `Dequantize` does not fully validate the value of `axis` and can result in heap OOB accesses. The `axis` argument can be `-1` (the default value for the optional argument) or any other positive value at most the number of dimensions of the input. Unfortunately, the upper bound is not checked and this results in reading past the end of the array containing the dimensions of the input tensor. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range. |
Affected by 1 other vulnerability. Affected by 1 other vulnerability. Affected by 2 other vulnerabilities. |
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VCID-4n1w-zfpr-dugh
Aliases: CVE-2022-23581 GHSA-fq86-3f29-px2c PYSEC-2022-145 PYSEC-2022-90 |
Tensorflow is an Open Source Machine Learning Framework. The Grappler optimizer in TensorFlow can be used to cause a denial of service by altering a `SavedModel` such that `IsSimplifiableReshape` would trigger `CHECK` failures. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range. |
Affected by 1 other vulnerability. Affected by 1 other vulnerability. Affected by 2 other vulnerabilities. |
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VCID-56kw-66kj-1kb7
Aliases: CVE-2022-23565 GHSA-4v5p-v5h9-6xjx PYSEC-2022-129 PYSEC-2022-74 |
Tensorflow is an Open Source Machine Learning Framework. An attacker can trigger denial of service via assertion failure by altering a `SavedModel` on disk such that `AttrDef`s of some operation are duplicated. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range. |
Affected by 1 other vulnerability. Affected by 1 other vulnerability. Affected by 2 other vulnerabilities. |
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VCID-5781-vzmv-rkg4
Aliases: CVE-2021-41201 GHSA-j86v-p27c-73fm PYSEC-2021-394 PYSEC-2021-611 PYSEC-2021-809 |
multiple issues |
Affected by 53 other vulnerabilities. Affected by 53 other vulnerabilities. Affected by 53 other vulnerabilities. Affected by 59 other vulnerabilities. |
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VCID-5j3t-baqf-dbhs
Aliases: CVE-2021-41195 GHSA-cq76-mxrc-vchh PYSEC-2021-842 PYSEC-2021-844 PYSEC-2021-846 |
multiple issues |
Affected by 53 other vulnerabilities. Affected by 53 other vulnerabilities. Affected by 53 other vulnerabilities. |
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VCID-65fu-yg2h-zycr
Aliases: CVE-2022-23573 GHSA-q85f-69q7-55h2 PYSEC-2022-137 PYSEC-2022-82 |
Tensorflow is an Open Source Machine Learning Framework. The implementation of `AssignOp` can result in copying uninitialized data to a new tensor. This later results in undefined behavior. The implementation has a check that the left hand side of the assignment is initialized (to minimize number of allocations), but does not check that the right hand side is also initialized. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range. |
Affected by 1 other vulnerability. Affected by 1 other vulnerability. Affected by 2 other vulnerabilities. |
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VCID-68ym-s45d-8bhk
Aliases: CVE-2021-41225 GHSA-7r94-xv9v-63jw PYSEC-2021-417 PYSEC-2021-634 PYSEC-2021-832 |
multiple issues |
Affected by 53 other vulnerabilities. Affected by 53 other vulnerabilities. Affected by 53 other vulnerabilities. Affected by 59 other vulnerabilities. |
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VCID-6bgf-h7cu-27ec
Aliases: CVE-2022-23559 GHSA-98p5-x8x4-c9m5 PYSEC-2022-123 PYSEC-2022-68 |
Tensorflow is an Open Source Machine Learning Framework. An attacker can craft a TFLite model that would cause an integer overflow in embedding lookup operations. Both `embedding_size` and `lookup_size` are products of values provided by the user. Hence, a malicious user could trigger overflows in the multiplication. In certain scenarios, this can then result in heap OOB read/write. Users are advised to upgrade to a patched version. |
Affected by 1 other vulnerability. Affected by 1 other vulnerability. Affected by 2 other vulnerabilities. |
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VCID-6jvw-p6me-mke6
Aliases: CVE-2022-23579 GHSA-5f2r-qp73-37mr PYSEC-2022-143 PYSEC-2022-88 |
Tensorflow is an Open Source Machine Learning Framework. The Grappler optimizer in TensorFlow can be used to cause a denial of service by altering a `SavedModel` such that `SafeToRemoveIdentity` would trigger `CHECK` failures. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range. |
Affected by 1 other vulnerability. Affected by 1 other vulnerability. Affected by 2 other vulnerabilities. |
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VCID-6nfa-78eb-jffv
Aliases: CVE-2022-23589 GHSA-9px9-73fg-3fqp PYSEC-2022-153 PYSEC-2022-98 |
Tensorflow is an Open Source Machine Learning Framework. Under certain scenarios, Grappler component of TensorFlow can trigger a null pointer dereference. There are 2 places where this can occur, for the same malicious alteration of a `SavedModel` file (fixing the first one would trigger the same dereference in the second place). First, during constant folding, the `GraphDef` might not have the required nodes for the binary operation. If a node is missing, the correposning `mul_*child` would be null, and the dereference in the subsequent line would be incorrect. We have a similar issue during `IsIdentityConsumingSwitch`. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range. |
Affected by 1 other vulnerability. Affected by 1 other vulnerability. Affected by 2 other vulnerabilities. |
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VCID-6set-8e9p-nyeu
Aliases: CVE-2022-21735 GHSA-87v6-crgm-2gfj PYSEC-2022-114 PYSEC-2022-59 |
Tensorflow is an Open Source Machine Learning Framework. The implementation of `FractionalMaxPool` can be made to crash a TensorFlow process via a division by 0. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range. |
Affected by 1 other vulnerability. Affected by 1 other vulnerability. Affected by 2 other vulnerabilities. |
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VCID-6wh3-uhcu-jqef
Aliases: CVE-2021-41196 GHSA-m539-j985-hcr8 PYSEC-2021-389 PYSEC-2021-606 PYSEC-2021-804 |
multiple issues |
Affected by 53 other vulnerabilities. Affected by 53 other vulnerabilities. Affected by 53 other vulnerabilities. Affected by 59 other vulnerabilities. |
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VCID-6xhv-euz8-zkc8
Aliases: CVE-2022-23584 GHSA-24x4-6qmh-88qg PYSEC-2022-148 PYSEC-2022-93 |
Tensorflow is an Open Source Machine Learning Framework. A malicious user can cause a use after free behavior when decoding PNG images. After `png::CommonFreeDecode(&decode)` gets called, the values of `decode.width` and `decode.height` are in an unspecified state. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range. |
Affected by 1 other vulnerability. Affected by 1 other vulnerability. Affected by 2 other vulnerabilities. |
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VCID-6yd6-npyx-93cx
Aliases: CVE-2021-41207 GHSA-7v94-64hj-m82h PYSEC-2021-399 PYSEC-2021-616 PYSEC-2021-814 |
multiple issues |
Affected by 53 other vulnerabilities. Affected by 53 other vulnerabilities. Affected by 53 other vulnerabilities. Affected by 59 other vulnerabilities. |
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VCID-76t8-h98v-buhf
Aliases: CVE-2022-23571 GHSA-j3mj-fhpq-qqjj PYSEC-2022-135 PYSEC-2022-80 |
Tensorflow is an Open Source Machine Learning Framework. When decoding a tensor from protobuf, a TensorFlow process can encounter cases where a `CHECK` assertion is invalidated based on user controlled arguments, if the tensors have an invalid `dtype` and 0 elements or an invalid shape. This allows attackers to cause denial of services in TensorFlow processes. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range. |
Affected by 1 other vulnerability. Affected by 1 other vulnerability. Affected by 2 other vulnerabilities. |
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VCID-7avd-xuag-ybbv
Aliases: CVE-2021-41215 GHSA-x3v8-c8qx-3j3r PYSEC-2021-407 PYSEC-2021-624 PYSEC-2021-822 |
multiple issues |
Affected by 53 other vulnerabilities. Affected by 53 other vulnerabilities. Affected by 53 other vulnerabilities. Affected by 59 other vulnerabilities. |
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VCID-7gat-e8qw-e7hd
Aliases: CVE-2021-41210 GHSA-m342-ff57-4jcc PYSEC-2021-402 PYSEC-2021-619 PYSEC-2021-817 |
multiple issues |
Affected by 53 other vulnerabilities. Affected by 53 other vulnerabilities. Affected by 53 other vulnerabilities. Affected by 59 other vulnerabilities. |
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VCID-7jup-pyyw-c3eg
Aliases: CVE-2022-23567 GHSA-rrx2-r989-2c43 PYSEC-2022-131 PYSEC-2022-76 |
Tensorflow is an Open Source Machine Learning Framework. The implementations of `Sparse*Cwise*` ops are vulnerable to integer overflows. These can be used to trigger large allocations (so, OOM based denial of service) or `CHECK`-fails when building new `TensorShape` objects (so, assert failures based denial of service). We are missing some validation on the shapes of the input tensors as well as directly constructing a large `TensorShape` with user-provided dimensions. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range. |
Affected by 1 other vulnerability. Affected by 1 other vulnerability. Affected by 2 other vulnerabilities. |
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VCID-7rgb-m55r-4yhr
Aliases: CVE-2022-23587 GHSA-8jj7-5vxc-pg2q PYSEC-2022-151 PYSEC-2022-96 |
Tensorflow is an Open Source Machine Learning Framework. Under certain scenarios, Grappler component of TensorFlow is vulnerable to an integer overflow during cost estimation for crop and resize. Since the cropping parameters are user controlled, a malicious person can trigger undefined behavior. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range. |
Affected by 1 other vulnerability. Affected by 1 other vulnerability. Affected by 2 other vulnerabilities. |
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VCID-7z58-8eek-3fg2
Aliases: CVE-2022-23560 GHSA-4hvf-hxvg-f67v PYSEC-2022-124 PYSEC-2022-69 |
Tensorflow is an Open Source Machine Learning Framework. An attacker can craft a TFLite model that would allow limited reads and writes outside of arrays in TFLite. This exploits missing validation in the conversion from sparse tensors to dense tensors. The fix is included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range. Users are advised to upgrade as soon as possible. |
Affected by 1 other vulnerability. Affected by 1 other vulnerability. Affected by 2 other vulnerabilities. |
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VCID-85jp-mtkt-6kb1
Aliases: CVE-2021-41214 GHSA-vwhq-49r4-gj9v PYSEC-2021-406 PYSEC-2021-623 PYSEC-2021-821 |
multiple issues |
Affected by 53 other vulnerabilities. Affected by 53 other vulnerabilities. Affected by 53 other vulnerabilities. Affected by 59 other vulnerabilities. |
|
VCID-87r3-u8t5-m7d2
Aliases: CVE-2022-21729 GHSA-34f9-hjfq-rr8j PYSEC-2022-108 PYSEC-2022-53 |
Tensorflow is an Open Source Machine Learning Framework. The implementation of `UnravelIndex` is vulnerable to a division by zero caused by an integer overflow bug. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range. |
Affected by 1 other vulnerability. Affected by 1 other vulnerability. Affected by 2 other vulnerabilities. |
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VCID-8b1b-hevb-cqht
Aliases: CVE-2022-23588 GHSA-fx5c-h9f6-rv7c PYSEC-2022-152 PYSEC-2022-97 |
Tensorflow is an Open Source Machine Learning Framework. A malicious user can cause a denial of service by altering a `SavedModel` such that Grappler optimizer would attempt to build a tensor using a reference `dtype`. This would result in a crash due to a `CHECK`-fail in the `Tensor` constructor as reference types are not allowed. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range. |
Affected by 1 other vulnerability. Affected by 1 other vulnerability. Affected by 2 other vulnerabilities. |
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VCID-8bz4-tb8u-ckdy
Aliases: CVE-2021-41202 GHSA-xrqm-fpgr-6hhx PYSEC-2021-395 PYSEC-2021-612 PYSEC-2021-810 |
multiple issues |
Affected by 53 other vulnerabilities. Affected by 53 other vulnerabilities. Affected by 53 other vulnerabilities. Affected by 59 other vulnerabilities. |
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VCID-af9s-d9qq-tuh7
Aliases: CVE-2022-23568 GHSA-6445-fm66-fvq2 PYSEC-2022-132 PYSEC-2022-77 |
Tensorflow is an Open Source Machine Learning Framework. The implementation of `AddManySparseToTensorsMap` is vulnerable to an integer overflow which results in a `CHECK`-fail when building new `TensorShape` objects (so, an assert failure based denial of service). We are missing some validation on the shapes of the input tensors as well as directly constructing a large `TensorShape` with user-provided dimensions. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range. |
Affected by 1 other vulnerability. Affected by 1 other vulnerability. Affected by 2 other vulnerabilities. |
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VCID-at48-mrdj-a3en
Aliases: CVE-2021-41226 GHSA-374m-jm66-3vj8 PYSEC-2021-418 PYSEC-2021-635 PYSEC-2021-833 |
multiple issues |
Affected by 53 other vulnerabilities. Affected by 53 other vulnerabilities. Affected by 53 other vulnerabilities. Affected by 59 other vulnerabilities. |
|
VCID-au3q-9qpz-pkgy
Aliases: CVE-2021-41223 GHSA-f54p-f6jp-4rhr PYSEC-2021-415 PYSEC-2021-632 PYSEC-2021-830 |
multiple issues |
Affected by 53 other vulnerabilities. Affected by 53 other vulnerabilities. Affected by 53 other vulnerabilities. Affected by 59 other vulnerabilities. |
|
VCID-bgt5-979r-auc5
Aliases: CVE-2021-41209 GHSA-6hpv-v2rx-c5g6 PYSEC-2021-401 PYSEC-2021-618 PYSEC-2021-816 |
multiple issues |
Affected by 53 other vulnerabilities. Affected by 53 other vulnerabilities. Affected by 53 other vulnerabilities. Affected by 59 other vulnerabilities. |
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VCID-bh5b-u3zt-puf9
Aliases: CVE-2021-41221 GHSA-cqv6-3phm-hcwx PYSEC-2021-413 PYSEC-2021-630 PYSEC-2021-828 |
multiple issues |
Affected by 53 other vulnerabilities. Affected by 53 other vulnerabilities. Affected by 53 other vulnerabilities. Affected by 59 other vulnerabilities. |
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VCID-bmvq-fjkr-2fc3
Aliases: CVE-2022-21741 GHSA-428x-9xc2-m8mj PYSEC-2022-120 PYSEC-2022-65 |
Tensorflow is an Open Source Machine Learning Framework. ### Impact An attacker can craft a TFLite model that would trigger a division by zero in the implementation of depthwise convolutions. The parameters of the convolution can be user controlled and are also used within a division operation to determine the size of the padding that needs to be added before applying the convolution. There is no check before this division that the divisor is strictly positive. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range. |
Affected by 1 other vulnerability. Affected by 1 other vulnerability. Affected by 2 other vulnerabilities. |
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VCID-bvuf-q5tx-x3ec
Aliases: CVE-2022-23578 GHSA-8r7c-3cm2-3h8f PYSEC-2022-142 PYSEC-2022-87 |
Tensorflow is an Open Source Machine Learning Framework. If a graph node is invalid, TensorFlow can leak memory in the implementation of `ImmutableExecutorState::Initialize`. Here, we set `item->kernel` to `nullptr` but it is a simple `OpKernel*` pointer so the memory that was previously allocated to it would leak. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range. |
Affected by 1 other vulnerability. Affected by 1 other vulnerability. Affected by 2 other vulnerabilities. |
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VCID-c5wa-uqe8-yqh1
Aliases: CVE-2022-23561 GHSA-9c78-vcq7-7vxq PYSEC-2022-125 PYSEC-2022-70 |
Tensorflow is an Open Source Machine Learning Framework. An attacker can craft a TFLite model that would cause a write outside of bounds of an array in TFLite. In fact, the attacker can override the linked list used by the memory allocator. This can be leveraged for an arbitrary write primitive under certain conditions. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range. |
Affected by 1 other vulnerability. Affected by 1 other vulnerability. Affected by 2 other vulnerabilities. |
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VCID-cswq-zynn-h7ct
Aliases: CVE-2021-41217 GHSA-5crj-c72x-m7gq PYSEC-2021-409 PYSEC-2021-626 PYSEC-2021-824 |
multiple issues |
Affected by 53 other vulnerabilities. Affected by 53 other vulnerabilities. Affected by 53 other vulnerabilities. Affected by 59 other vulnerabilities. |
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VCID-d3qq-2w3d-dqe8
Aliases: CVE-2022-23580 GHSA-627q-g293-49q7 PYSEC-2022-144 PYSEC-2022-89 |
Tensorflow is an Open Source Machine Learning Framework. During shape inference, TensorFlow can allocate a large vector based on a value from a tensor controlled by the user. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range. |
Affected by 1 other vulnerability. Affected by 1 other vulnerability. Affected by 2 other vulnerabilities. |
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VCID-dcp4-adwb-efd7
Aliases: CVE-2021-41198 GHSA-2p25-55c9-h58q PYSEC-2021-391 PYSEC-2021-608 PYSEC-2021-806 |
multiple issues |
Affected by 53 other vulnerabilities. Affected by 53 other vulnerabilities. Affected by 53 other vulnerabilities. Affected by 59 other vulnerabilities. |
|
VCID-ffnh-y8v7-9yg7
Aliases: CVE-2021-41227 GHSA-j8c8-67vp-6mx7 PYSEC-2021-419 PYSEC-2021-636 PYSEC-2021-834 |
multiple issues |
Affected by 53 other vulnerabilities. Affected by 53 other vulnerabilities. Affected by 53 other vulnerabilities. Affected by 59 other vulnerabilities. |
|
VCID-g3tv-ra2y-hqdn
Aliases: CVE-2022-21725 GHSA-v3f7-j968-4h5f PYSEC-2022-104 PYSEC-2022-49 |
Tensorflow is an Open Source Machine Learning Framework. The estimator for the cost of some convolution operations can be made to execute a division by 0. The function fails to check that the stride argument is strictly positive. Hence, the fix is to add a check for the stride argument to ensure it is valid. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range. |
Affected by 1 other vulnerability. Affected by 1 other vulnerability. Affected by 2 other vulnerabilities. |
|
VCID-g5tz-zaxw-cfa2
Aliases: CVE-2022-23590 GHSA-pqrv-8r2f-7278 PYSEC-2022-154 PYSEC-2022-99 |
Tensorflow is an Open Source Machine Learning Framework. A `GraphDef` from a TensorFlow `SavedModel` can be maliciously altered to cause a TensorFlow process to crash due to encountering a `StatusOr` value that is an error and forcibly extracting the value from it. We have patched the issue in multiple GitHub commits and these will be included in TensorFlow 2.8.0 and TensorFlow 2.7.1, as both are affected. |
Affected by 2 other vulnerabilities. |
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VCID-g7mk-ddes-8fa8
Aliases: CVE-2022-21732 GHSA-c582-c96p-r5cq PYSEC-2022-111 PYSEC-2022-56 |
Tensorflow is an Open Source Machine Learning Framework. The implementation of `ThreadPoolHandle` can be used to trigger a denial of service attack by allocating too much memory. This is because the `num_threads` argument is only checked to not be negative, but there is no upper bound on its value. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range. |
Affected by 1 other vulnerability. Affected by 1 other vulnerability. Affected by 2 other vulnerabilities. |
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VCID-h638-b3zk-wqfa
Aliases: CVE-2021-41228 GHSA-3rcw-9p9x-582v PYSEC-2021-420 PYSEC-2021-637 PYSEC-2021-835 |
multiple issues |
Affected by 53 other vulnerabilities. Affected by 53 other vulnerabilities. Affected by 53 other vulnerabilities. Affected by 59 other vulnerabilities. |
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VCID-jgpf-xs7n-sbcn
Aliases: CVE-2022-21727 GHSA-c6fh-56w7-fvjw PYSEC-2022-106 PYSEC-2022-51 |
Tensorflow is an Open Source Machine Learning Framework. The implementation of shape inference for `Dequantize` is vulnerable to an integer overflow weakness. The `axis` argument can be `-1` (the default value for the optional argument) or any other positive value at most the number of dimensions of the input. Unfortunately, the upper bound is not checked, and, since the code computes `axis + 1`, an attacker can trigger an integer overflow. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range. |
Affected by 1 other vulnerability. Affected by 1 other vulnerability. Affected by 2 other vulnerabilities. |
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VCID-jhq5-zhxm-a3ef
Aliases: CVE-2022-23586 GHSA-43jf-985q-588j PYSEC-2022-150 PYSEC-2022-95 |
Tensorflow is an Open Source Machine Learning Framework. A malicious user can cause a denial of service by altering a `SavedModel` such that assertions in `function.cc` would be falsified and crash the Python interpreter. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range. |
Affected by 1 other vulnerability. Affected by 1 other vulnerability. Affected by 2 other vulnerabilities. |
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VCID-jpzs-vcck-6kce
Aliases: CVE-2022-23570 GHSA-9p77-mmrw-69c7 PYSEC-2022-134 PYSEC-2022-79 |
Tensorflow is an Open Source Machine Learning Framework. When decoding a tensor from protobuf, TensorFlow might do a null-dereference if attributes of some mutable arguments to some operations are missing from the proto. This is guarded by a `DCHECK`. However, `DCHECK` is a no-op in production builds and an assertion failure in debug builds. In the first case execution proceeds to the dereferencing of the null pointer, whereas in the second case it results in a crash due to the assertion failure. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, and TensorFlow 2.6.3, as these are also affected and still in supported range. |
Affected by 1 other vulnerability. Affected by 1 other vulnerability. Affected by 2 other vulnerabilities. |
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VCID-k9e7-kmzx-wqbn
Aliases: CVE-2021-41206 GHSA-pgcq-h79j-2f69 PYSEC-2021-843 PYSEC-2021-845 PYSEC-2021-847 |
multiple issues |
Affected by 53 other vulnerabilities. Affected by 53 other vulnerabilities. Affected by 53 other vulnerabilities. |
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VCID-kq2a-p2fu-n7gc
Aliases: CVE-2021-41222 GHSA-cpf4-wx82-gxp6 PYSEC-2021-414 PYSEC-2021-631 PYSEC-2021-829 |
multiple issues |
Affected by 53 other vulnerabilities. Affected by 53 other vulnerabilities. Affected by 53 other vulnerabilities. Affected by 59 other vulnerabilities. |
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VCID-me54-9e62-qfdt
Aliases: CVE-2022-23557 GHSA-gf2j-f278-xh4v PYSEC-2022-121 PYSEC-2022-66 |
Tensorflow is an Open Source Machine Learning Framework. An attacker can craft a TFLite model that would trigger a division by zero in `BiasAndClamp` implementation. There is no check that the `bias_size` is non zero. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range. |
Affected by 1 other vulnerability. Affected by 1 other vulnerability. Affected by 2 other vulnerabilities. |
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VCID-mgvb-rccx-ffbz
Aliases: CVE-2022-23595 GHSA-fpcp-9h7m-ffpx PYSEC-2022-103 PYSEC-2022-158 |
Tensorflow is an Open Source Machine Learning Framework. When building an XLA compilation cache, if default settings are used, TensorFlow triggers a null pointer dereference. In the default scenario, all devices are allowed, so `flr->config_proto` is `nullptr`. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range. |
Affected by 1 other vulnerability. Affected by 1 other vulnerability. Affected by 2 other vulnerabilities. |
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VCID-mka4-sg7r-v3am
Aliases: CVE-2022-23574 GHSA-77gp-3h4r-6428 PYSEC-2022-138 PYSEC-2022-83 |
Tensorflow is an Open Source Machine Learning Framework. There is a typo in TensorFlow's `SpecializeType` which results in heap OOB read/write. Due to a typo, `arg` is initialized to the `i`th mutable argument in a loop where the loop index is `j`. Hence it is possible to assign to `arg` from outside the vector of arguments. Since this is a mutable proto value, it allows both read and write to outside of bounds data. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, and TensorFlow 2.6.3, as these are also affected and still in supported range. |
Affected by 1 other vulnerability. Affected by 1 other vulnerability. Affected by 2 other vulnerabilities. |
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VCID-n8yf-dh79-83gt
Aliases: CVE-2022-23585 GHSA-fq6p-6334-8gr4 PYSEC-2022-149 PYSEC-2022-94 |
Tensorflow is an Open Source Machine Learning Framework. When decoding PNG images TensorFlow can produce a memory leak if the image is invalid. After calling `png::CommonInitDecode(..., &decode)`, the `decode` value contains allocated buffers which can only be freed by calling `png::CommonFreeDecode(&decode)`. However, several error case in the function implementation invoke the `OP_REQUIRES` macro which immediately terminates the execution of the function, without allowing for the memory free to occur. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range. |
Affected by 1 other vulnerability. Affected by 1 other vulnerability. Affected by 2 other vulnerabilities. |
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VCID-ngd2-qzsa-ubdv
Aliases: CVE-2021-41197 GHSA-prcg-wp5q-rv7p PYSEC-2021-390 PYSEC-2021-607 PYSEC-2021-805 |
multiple issues |
Affected by 53 other vulnerabilities. Affected by 53 other vulnerabilities. Affected by 53 other vulnerabilities. Affected by 59 other vulnerabilities. |
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VCID-nu75-chwt-fkdp
Aliases: CVE-2022-21738 GHSA-x4qx-4fjv-hmw6 PYSEC-2022-117 PYSEC-2022-62 |
Tensorflow is an Open Source Machine Learning Framework. The implementation of `SparseCountSparseOutput` can be made to crash a TensorFlow process by an integer overflow whose result is then used in a memory allocation. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range. |
Affected by 1 other vulnerability. Affected by 1 other vulnerability. Affected by 2 other vulnerabilities. |
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VCID-p2z3-j6kf-p3dd
Aliases: CVE-2021-41218 GHSA-9crf-c6qr-r273 PYSEC-2021-410 PYSEC-2021-627 PYSEC-2021-825 |
multiple issues |
Affected by 53 other vulnerabilities. Affected by 53 other vulnerabilities. Affected by 53 other vulnerabilities. Affected by 59 other vulnerabilities. |
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VCID-psey-gff8-nyg8
Aliases: CVE-2022-21737 GHSA-f2vv-v9cg-qhh7 PYSEC-2022-116 PYSEC-2022-61 |
Tensorflow is an Open Source Machine Learning Framework. The implementation of `*Bincount` operations allows malicious users to cause denial of service by passing in arguments which would trigger a `CHECK`-fail. There are several conditions that the input arguments must satisfy. Some are not caught during shape inference and others are not caught during kernel implementation. This results in `CHECK` failures later when the output tensors get allocated. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range. |
Affected by 1 other vulnerability. Affected by 1 other vulnerability. Affected by 2 other vulnerabilities. |
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VCID-pve4-4466-tqah
Aliases: CVE-2022-21731 GHSA-m4hf-j54p-p353 PYSEC-2022-110 PYSEC-2022-55 |
Tensorflow is an Open Source Machine Learning Framework. The implementation of shape inference for `ConcatV2` can be used to trigger a denial of service attack via a segfault caused by a type confusion. The `axis` argument is translated into `concat_dim` in the `ConcatShapeHelper` helper function. Then, a value for `min_rank` is computed based on `concat_dim`. This is then used to validate that the `values` tensor has at least the required rank. However, `WithRankAtLeast` receives the lower bound as a 64-bits value and then compares it against the maximum 32-bits integer value that could be represented. Due to the fact that `min_rank` is a 32-bits value and the value of `axis`, the `rank` argument is a negative value, so the error check is bypassed. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range. |
Affected by 1 other vulnerability. Affected by 1 other vulnerability. Affected by 2 other vulnerabilities. |
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VCID-qe3m-tepe-sqbq
Aliases: CVE-2021-41213 GHSA-h67m-xg8f-fxcf PYSEC-2021-405 PYSEC-2021-622 PYSEC-2021-820 |
multiple issues |
Affected by 53 other vulnerabilities. Affected by 53 other vulnerabilities. Affected by 53 other vulnerabilities. Affected by 59 other vulnerabilities. |
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VCID-r184-6v15-tqgm
Aliases: CVE-2021-41200 GHSA-gh8h-7j2j-qv4f PYSEC-2021-393 PYSEC-2021-610 PYSEC-2021-808 |
multiple issues |
Affected by 53 other vulnerabilities. Affected by 53 other vulnerabilities. Affected by 53 other vulnerabilities. Affected by 59 other vulnerabilities. |
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VCID-rapw-1955-2ydq
Aliases: CVE-2022-21734 GHSA-gcvh-66ff-4mwm PYSEC-2022-113 PYSEC-2022-58 |
Tensorflow is an Open Source Machine Learning Framework. The implementation of `MapStage` is vulnerable a `CHECK`-fail if the key tensor is not a scalar. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range. |
Affected by 1 other vulnerability. Affected by 1 other vulnerability. Affected by 2 other vulnerabilities. |
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VCID-rgat-jz7g-5qgd
Aliases: CVE-2022-21733 GHSA-98j8-c9q4-r38g PYSEC-2022-112 PYSEC-2022-57 |
Tensorflow is an Open Source Machine Learning Framework. The implementation of `StringNGrams` can be used to trigger a denial of service attack by causing an out of memory condition after an integer overflow. We are missing a validation on `pad_witdh` and that result in computing a negative value for `ngram_width` which is later used to allocate parts of the output. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range. |
Affected by 1 other vulnerability. Affected by 1 other vulnerability. Affected by 2 other vulnerabilities. |
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VCID-rz3q-tnf3-mygj
Aliases: CVE-2022-23582 GHSA-4j82-5ccr-4r8v PYSEC-2022-146 PYSEC-2022-91 |
Tensorflow is an Open Source Machine Learning Framework. A malicious user can cause a denial of service by altering a `SavedModel` such that `TensorByteSize` would trigger `CHECK` failures. `TensorShape` constructor throws a `CHECK`-fail if shape is partial or has a number of elements that would overflow the size of an `int`. The `PartialTensorShape` constructor instead does not cause a `CHECK`-abort if the shape is partial, which is exactly what this function needs to be able to return `-1`. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range. |
Affected by 1 other vulnerability. Affected by 1 other vulnerability. Affected by 2 other vulnerabilities. |
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VCID-sb76-qn7q-2ben
Aliases: CVE-2022-21740 GHSA-44qp-9wwf-734r PYSEC-2022-119 PYSEC-2022-64 |
Tensorflow is an Open Source Machine Learning Framework. The implementation of `SparseCountSparseOutput` is vulnerable to a heap overflow. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range. |
Affected by 1 other vulnerability. Affected by 1 other vulnerability. Affected by 2 other vulnerabilities. |
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VCID-sney-upy2-cub5
Aliases: CVE-2022-23558 GHSA-9gwq-6cwj-47h3 PYSEC-2022-122 PYSEC-2022-67 |
Tensorflow is an Open Source Machine Learning Framework. An attacker can craft a TFLite model that would cause an integer overflow in `TfLiteIntArrayCreate`. The `TfLiteIntArrayGetSizeInBytes` returns an `int` instead of a `size_t. An attacker can control model inputs such that `computed_size` overflows the size of `int` datatype. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range. |
Affected by 1 other vulnerability. Affected by 1 other vulnerability. Affected by 2 other vulnerabilities. |
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VCID-t3m9-6h7k-9uax
Aliases: CVE-2022-23591 GHSA-247x-2f9f-5wp7 PYSEC-2022-100 PYSEC-2022-155 |
Tensorflow is an Open Source Machine Learning Framework. The `GraphDef` format in TensorFlow does not allow self recursive functions. The runtime assumes that this invariant is satisfied. However, a `GraphDef` containing a fragment such as the following can be consumed when loading a `SavedModel`. This would result in a stack overflow during execution as resolving each `NodeDef` means resolving the function itself and its nodes. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range. |
Affected by 1 other vulnerability. Affected by 1 other vulnerability. Affected by 2 other vulnerabilities. |
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VCID-tdw3-fns6-6baz
Aliases: CVE-2022-23564 GHSA-8rcj-c8pj-v3m3 PYSEC-2022-128 PYSEC-2022-73 |
Tensorflow is an Open Source Machine Learning Framework. When decoding a resource handle tensor from protobuf, a TensorFlow process can encounter cases where a `CHECK` assertion is invalidated based on user controlled arguments. This allows attackers to cause denial of services in TensorFlow processes. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range. |
Affected by 1 other vulnerability. Affected by 1 other vulnerability. Affected by 2 other vulnerabilities. |
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VCID-tf8j-fa4n-2qcy
Aliases: CVE-2021-41224 GHSA-rg3m-hqc5-344v PYSEC-2021-416 PYSEC-2021-633 PYSEC-2021-831 |
multiple issues |
Affected by 53 other vulnerabilities. Affected by 53 other vulnerabilities. Affected by 53 other vulnerabilities. Affected by 59 other vulnerabilities. |
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VCID-ty1g-525f-jkan
Aliases: CVE-2021-41216 GHSA-3ff2-r28g-w7h9 PYSEC-2021-408 PYSEC-2021-625 PYSEC-2021-823 |
multiple issues |
Affected by 53 other vulnerabilities. Affected by 53 other vulnerabilities. Affected by 53 other vulnerabilities. Affected by 59 other vulnerabilities. |
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VCID-u197-te8d-jydm
Aliases: CVE-2022-21739 GHSA-3mw4-6rj6-74g5 PYSEC-2022-118 PYSEC-2022-63 |
Tensorflow is an Open Source Machine Learning Framework. The implementation of `QuantizedMaxPool` has an undefined behavior where user controlled inputs can trigger a reference binding to null pointer. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range. |
Affected by 1 other vulnerability. Affected by 1 other vulnerability. Affected by 2 other vulnerabilities. |
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VCID-uqae-1yv2-fuc2
Aliases: CVE-2021-41219 GHSA-4f99-p9c2-3j8x PYSEC-2021-411 PYSEC-2021-628 PYSEC-2021-826 |
multiple issues |
Affected by 53 other vulnerabilities. Affected by 53 other vulnerabilities. Affected by 53 other vulnerabilities. Affected by 59 other vulnerabilities. |
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VCID-v7xq-gfna-5kfw
Aliases: CVE-2021-41204 GHSA-786j-5qwq-r36x PYSEC-2021-397 PYSEC-2021-614 PYSEC-2021-812 |
multiple issues |
Affected by 53 other vulnerabilities. Affected by 53 other vulnerabilities. Affected by 53 other vulnerabilities. Affected by 59 other vulnerabilities. |
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VCID-vfkq-sva3-nybz
Aliases: CVE-2022-21728 GHSA-6gmv-pjp9-p8w8 PYSEC-2022-107 PYSEC-2022-52 |
Tensorflow is an Open Source Machine Learning Framework. The implementation of shape inference for `ReverseSequence` does not fully validate the value of `batch_dim` and can result in a heap OOB read. There is a check to make sure the value of `batch_dim` does not go over the rank of the input, but there is no check for negative values. Negative dimensions are allowed in some cases to mimic Python's negative indexing (i.e., indexing from the end of the array), however if the value is too negative then the implementation of `Dim` would access elements before the start of an array. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range. |
Affected by 1 other vulnerability. Affected by 1 other vulnerability. Affected by 2 other vulnerabilities. |
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VCID-vsxn-sk73-dbg5
Aliases: CVE-2021-41205 GHSA-49rx-x2rw-pc6f PYSEC-2021-398 PYSEC-2021-615 PYSEC-2021-813 |
multiple issues |
Affected by 53 other vulnerabilities. Affected by 53 other vulnerabilities. Affected by 53 other vulnerabilities. Affected by 59 other vulnerabilities. |
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VCID-w1s8-6nq3-4bgp
Aliases: CVE-2022-23583 GHSA-gjqc-q9g6-q2j3 PYSEC-2022-147 PYSEC-2022-92 |
Tensorflow is an Open Source Machine Learning Framework. A malicious user can cause a denial of service by altering a `SavedModel` such that any binary op would trigger `CHECK` failures. This occurs when the protobuf part corresponding to the tensor arguments is modified such that the `dtype` no longer matches the `dtype` expected by the op. In that case, calling the templated binary operator for the binary op would receive corrupted data, due to the type confusion involved. If `Tin` and `Tout` don't match the type of data in `out` and `input_*` tensors then `flat<*>` would interpret it wrongly. In most cases, this would be a silent failure, but we have noticed scenarios where this results in a `CHECK` crash, hence a denial of service. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range. |
Affected by 1 other vulnerability. Affected by 1 other vulnerability. Affected by 2 other vulnerabilities. |
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VCID-wdpc-4xjf-pqgh
Aliases: CVE-2021-41203 GHSA-7pxj-m4jf-r6h2 PYSEC-2021-396 PYSEC-2021-613 PYSEC-2021-811 |
multiple issues |
Affected by 53 other vulnerabilities. Affected by 53 other vulnerabilities. Affected by 53 other vulnerabilities. Affected by 59 other vulnerabilities. |
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VCID-wskj-uyt9-akab
Aliases: CVE-2021-41199 GHSA-5hx2-qx8j-qjqm PYSEC-2021-392 PYSEC-2021-609 PYSEC-2021-807 |
multiple issues |
Affected by 53 other vulnerabilities. Affected by 53 other vulnerabilities. Affected by 53 other vulnerabilities. Affected by 59 other vulnerabilities. |
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VCID-xdz6-2ckp-a3dw
Aliases: CVE-2021-41212 GHSA-fr77-rrx3-cp7g PYSEC-2021-404 PYSEC-2021-621 PYSEC-2021-819 |
multiple issues |
Affected by 53 other vulnerabilities. Affected by 53 other vulnerabilities. Affected by 53 other vulnerabilities. Affected by 59 other vulnerabilities. |
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VCID-xftt-xdnj-fuhd
Aliases: CVE-2022-23577 GHSA-8cxv-76p7-jxwr PYSEC-2022-141 PYSEC-2022-86 |
Tensorflow is an Open Source Machine Learning Framework. The implementation of `GetInitOp` is vulnerable to a crash caused by dereferencing a null pointer. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range. |
Affected by 1 other vulnerability. Affected by 1 other vulnerability. Affected by 2 other vulnerabilities. |
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VCID-y5ak-4gg9-sqaj
Aliases: CVE-2021-41208 GHSA-57wx-m983-2f88 PYSEC-2021-400 PYSEC-2021-617 PYSEC-2021-815 |
multiple issues |
Affected by 53 other vulnerabilities. Affected by 53 other vulnerabilities. Affected by 53 other vulnerabilities. Affected by 59 other vulnerabilities. |
|
VCID-yv3z-fhhz-9fa4
Aliases: CVE-2022-23576 GHSA-wm93-f238-7v37 PYSEC-2022-140 PYSEC-2022-85 |
Tensorflow is an Open Source Machine Learning Framework. The implementation of `OpLevelCostEstimator::CalculateOutputSize` is vulnerable to an integer overflow if an attacker can create an operation which would involve tensors with large enough number of elements. We can have a large enough number of dimensions in `output_shape.dim()` or just a small number of dimensions being large enough to cause an overflow in the multiplication. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range. |
Affected by 1 other vulnerability. Affected by 1 other vulnerability. Affected by 2 other vulnerabilities. |
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VCID-z8wr-n2z5-pffq
Aliases: CVE-2022-21730 GHSA-vjg4-v33c-ggc4 PYSEC-2022-109 PYSEC-2022-54 |
Tensorflow is an Open Source Machine Learning Framework. The implementation of `FractionalAvgPoolGrad` does not consider cases where the input tensors are invalid allowing an attacker to read from outside of bounds of heap. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range. |
Affected by 1 other vulnerability. Affected by 1 other vulnerability. Affected by 2 other vulnerabilities. |
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VCID-zfuy-5852-fug5
Aliases: CVE-2022-23569 GHSA-qj5r-f9mv-rffh PYSEC-2022-133 PYSEC-2022-78 |
Tensorflow is an Open Source Machine Learning Framework. Multiple operations in TensorFlow can be used to trigger a denial of service via `CHECK`-fails (i.e., assertion failures). This is similar to TFSA-2021-198 and has similar fixes. We have patched the reported issues in multiple GitHub commits. It is possible that other similar instances exist in TensorFlow, we will issue fixes as these are discovered. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range. |
Affected by 1 other vulnerability. Affected by 1 other vulnerability. Affected by 2 other vulnerabilities. |
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VCID-zj5j-12r4-4bhp
Aliases: CVE-2022-21736 GHSA-pfjj-m3jj-9jc9 PYSEC-2022-115 PYSEC-2022-60 |
Tensorflow is an Open Source Machine Learning Framework. The implementation of `SparseTensorSliceDataset` has an undefined behavior: under certain condition it can be made to dereference a `nullptr` value. The 3 input arguments to `SparseTensorSliceDataset` represent a sparse tensor. However, there are some preconditions that these arguments must satisfy but these are not validated in the implementation. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range. |
Affected by 1 other vulnerability. Affected by 1 other vulnerability. Affected by 2 other vulnerabilities. |
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VCID-zztr-pqqn-w7fd
Aliases: CVE-2022-23562 GHSA-qx3f-p745-w4hr PYSEC-2022-126 PYSEC-2022-71 |
Tensorflow is an Open Source Machine Learning Framework. The implementation of `Range` suffers from integer overflows. These can trigger undefined behavior or, in some scenarios, extremely large allocations. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range. |
Affected by 1 other vulnerability. Affected by 1 other vulnerability. Affected by 2 other vulnerabilities. |
| Vulnerability | Summary | Aliases |
|---|---|---|
| VCID-1966-8tnk-77gv | multiple issues |
CVE-2021-37683
GHSA-rhrq-64mq-hf9h PYSEC-2021-305 PYSEC-2021-596 PYSEC-2021-794 |
| VCID-19ka-ye78-gkak | multiple issues |
CVE-2021-29560
GHSA-8gv3-57p6-g35r PYSEC-2021-197 PYSEC-2021-488 PYSEC-2021-686 |
| VCID-1d58-76k6-gqhe | multiple issues |
CVE-2021-37652
GHSA-m7fm-4jfh-jrg6 PYSEC-2021-274 PYSEC-2021-565 PYSEC-2021-763 |
| VCID-2k1k-p7zh-guew | multiple issues |
CVE-2021-37641
GHSA-9c8h-vvrj-w2p8 PYSEC-2021-263 PYSEC-2021-554 PYSEC-2021-752 |
| VCID-2pkc-gdjx-7bcf | multiple issues |
CVE-2021-37650
GHSA-f8h4-7rgh-q2gm PYSEC-2021-272 PYSEC-2021-563 PYSEC-2021-761 |
| VCID-3643-715j-8qfb | multiple issues |
CVE-2021-29563
GHSA-ph87-fvjr-v33w PYSEC-2021-200 PYSEC-2021-491 PYSEC-2021-689 |
| VCID-3e9u-gag2-e3bn | multiple issues |
CVE-2021-37672
GHSA-5hj3-vjjf-f5m7 PYSEC-2021-294 PYSEC-2021-585 PYSEC-2021-783 |
| VCID-4de1-psyn-7kej | multiple issues |
CVE-2021-37676
GHSA-v768-w7m9-2vmm PYSEC-2021-298 PYSEC-2021-589 PYSEC-2021-787 |
| VCID-4ujh-25ns-ryge | multiple issues |
CVE-2021-29552
GHSA-jhq9-wm9m-cf89 PYSEC-2021-189 PYSEC-2021-480 PYSEC-2021-678 |
| VCID-59ck-jg98-hufk | multiple issues |
CVE-2021-29539
GHSA-g4h2-gqm3-c9wq PYSEC-2021-176 PYSEC-2021-467 PYSEC-2021-665 |
| VCID-5ke1-vz5z-qubj | multiple issues |
CVE-2021-37655
GHSA-7fvx-3jfc-2cpc PYSEC-2021-277 PYSEC-2021-568 PYSEC-2021-766 |
| VCID-5m82-fmvp-4qd1 | multiple issues |
CVE-2021-37667
GHSA-w74j-v8xh-3w5h PYSEC-2021-289 PYSEC-2021-580 PYSEC-2021-778 |
| VCID-5xmw-6dmh-myfd | multiple issues |
CVE-2021-29608
GHSA-rgvq-pcvf-hx75 PYSEC-2021-245 PYSEC-2021-536 PYSEC-2021-734 |
| VCID-67ks-3hd1-8fff | multiple issues |
CVE-2021-37648
GHSA-wp77-4gmm-7cq8 PYSEC-2021-270 PYSEC-2021-561 PYSEC-2021-759 |
| VCID-6j49-ccph-uqht | multiple issues |
CVE-2021-37653
GHSA-qjj8-32p7-h289 PYSEC-2021-275 PYSEC-2021-566 PYSEC-2021-764 |
| VCID-6nby-ppgb-e3f7 | multiple issues |
CVE-2021-37656
GHSA-4xfp-4pfp-89wg PYSEC-2021-278 PYSEC-2021-569 PYSEC-2021-767 |
| VCID-77ap-cbge-vfam | multiple issues |
CVE-2021-37647
GHSA-c5x2-p679-95wc PYSEC-2021-269 PYSEC-2021-560 PYSEC-2021-758 |
| VCID-799s-fus4-nygx | multiple issues |
CVE-2021-37640
GHSA-95xm-g58g-3p88 PYSEC-2021-262 PYSEC-2021-553 PYSEC-2021-751 |
| VCID-7jh5-5t2v-tfey | multiple issues |
CVE-2021-29543
GHSA-fphq-gw9m-ghrv PYSEC-2021-180 PYSEC-2021-471 PYSEC-2021-669 |
| VCID-7mym-t3x9-1kba | multiple issues |
CVE-2021-37686
GHSA-mhhc-q96p-mfm9 PYSEC-2021-308 PYSEC-2021-599 PYSEC-2021-797 |
| VCID-8m8a-1xtu-6qe1 | multiple issues |
CVE-2021-29568
GHSA-4p4p-www8-8fv9 PYSEC-2021-205 PYSEC-2021-496 PYSEC-2021-694 |
| VCID-8ura-ud9s-tubb | multiple issues |
CVE-2021-37692
GHSA-cmgw-8vpc-rc59 PYSEC-2021-314 PYSEC-2021-605 PYSEC-2021-803 |
| VCID-8vds-6bfq-57gn | multiple issues |
CVE-2021-29550
GHSA-f78g-q7r4-9wcv PYSEC-2021-187 PYSEC-2021-478 PYSEC-2021-676 |
| VCID-8zuz-d9cs-kudv | multiple issues |
CVE-2021-37684
GHSA-q7f7-544h-67h9 PYSEC-2021-306 PYSEC-2021-597 PYSEC-2021-795 |
| VCID-9923-nuxh-eked | multiple issues |
CVE-2021-29536
GHSA-2gfx-95x2-5v3x PYSEC-2021-173 PYSEC-2021-464 PYSEC-2021-662 |
| VCID-9z61-fqek-cyfd | multiple issues |
CVE-2021-37675
GHSA-9c8h-2mv3-49ww PYSEC-2021-297 PYSEC-2021-588 PYSEC-2021-786 |
| VCID-a1qw-qqgu-yba7 | multiple issues |
CVE-2021-29618
GHSA-xqfj-cr6q-pc8w PYSEC-2021-255 PYSEC-2021-546 PYSEC-2021-744 |
| VCID-awrv-vnbj-3kg6 | multiple issues |
CVE-2021-37662
GHSA-f5cx-5wr3-5qrc PYSEC-2021-284 PYSEC-2021-575 PYSEC-2021-773 |
| VCID-b23t-3kmy-ubea | multiple issues |
CVE-2021-37671
GHSA-qr82-2c78-4m8h PYSEC-2021-293 PYSEC-2021-584 PYSEC-2021-782 |
| VCID-bnhj-ujmq-mqad | multiple issues |
CVE-2021-37636
GHSA-hp4c-x6r7-6555 PYSEC-2021-258 PYSEC-2021-549 PYSEC-2021-747 |
| VCID-bvkn-s2tz-2fdz | multiple issues |
CVE-2021-29546
GHSA-m34j-p8rj-wjxq PYSEC-2021-183 PYSEC-2021-474 PYSEC-2021-672 |
| VCID-c3wv-ty85-nqhc | multiple issues |
CVE-2021-37685
GHSA-c545-c4f9-rf6v PYSEC-2021-307 PYSEC-2021-598 PYSEC-2021-796 |
| VCID-c58x-wt2g-r7h4 | multiple issues |
CVE-2021-37681
GHSA-7xwj-5r4v-429p PYSEC-2021-303 PYSEC-2021-594 PYSEC-2021-792 |
| VCID-c9y5-6qrm-eud4 | multiple issues |
CVE-2021-29532
GHSA-j47f-4232-hvv8 PYSEC-2021-169 PYSEC-2021-460 PYSEC-2021-658 |
| VCID-cbgv-kvzc-gffm | multiple issues |
CVE-2021-37642
GHSA-ch4f-829c-v5pw PYSEC-2021-264 PYSEC-2021-555 PYSEC-2021-753 |
| VCID-cejb-v628-1ffm | multiple issues |
CVE-2021-37645
GHSA-9w2p-5mgw-p94c PYSEC-2021-267 PYSEC-2021-558 PYSEC-2021-756 |
| VCID-cqub-cr1u-hfgq | multiple issues |
CVE-2021-37638
GHSA-hwr7-8gxx-fj5p PYSEC-2021-260 PYSEC-2021-551 PYSEC-2021-749 |
| VCID-cw38-rqj2-wqdz | multiple issues |
CVE-2021-29583
GHSA-9xh4-23q4-v6wr PYSEC-2021-220 PYSEC-2021-511 PYSEC-2021-709 |
| VCID-cwdj-z1sm-9yhg | multiple issues |
CVE-2021-29540
GHSA-xgc3-m89p-vr3x PYSEC-2021-177 PYSEC-2021-468 PYSEC-2021-666 |
| VCID-dkne-cc8g-qqfb | multiple issues |
CVE-2021-37664
GHSA-r4c4-5fpq-56wg PYSEC-2021-286 PYSEC-2021-577 PYSEC-2021-775 |
| VCID-ebhp-jwrs-97en | multiple issues |
CVE-2021-29514
GHSA-8h46-5m9h-7553 PYSEC-2021-151 PYSEC-2021-442 PYSEC-2021-640 |
| VCID-ep2z-xrdv-tyhh | multiple issues |
CVE-2021-37646
GHSA-h6jh-7gv5-28vg PYSEC-2021-268 PYSEC-2021-559 PYSEC-2021-757 |
| VCID-ewrz-th6a-augc | multiple issues |
CVE-2021-37651
GHSA-hpv4-7p9c-mvfr PYSEC-2021-273 PYSEC-2021-564 PYSEC-2021-762 |
| VCID-f8h7-zfxn-wbaj | multiple issues |
CVE-2021-37680
GHSA-cfpj-3q4c-jhvr PYSEC-2021-302 PYSEC-2021-593 PYSEC-2021-791 |
| VCID-fs5e-w6u9-t3e3 | multiple issues |
CVE-2021-29589
GHSA-3w67-q784-6w7c PYSEC-2021-226 PYSEC-2021-517 PYSEC-2021-715 |
| VCID-g3af-vhsj-sfbq | multiple issues |
CVE-2021-37654
GHSA-2r8p-fg3c-wcj4 PYSEC-2021-276 PYSEC-2021-567 PYSEC-2021-765 |
| VCID-gfss-uup9-vbcg | multiple issues |
CVE-2021-37678
GHSA-r6jx-9g48-2r5r PYSEC-2021-300 PYSEC-2021-591 PYSEC-2021-789 |
| VCID-gkfg-96vh-4yfh | multiple issues |
CVE-2021-29571
GHSA-whr9-vfh2-7hm6 PYSEC-2021-208 PYSEC-2021-499 PYSEC-2021-697 |
| VCID-gtvx-jmfk-m3as | multiple issues |
CVE-2021-37649
GHSA-6gv8-p3vj-pxvr PYSEC-2021-271 PYSEC-2021-562 PYSEC-2021-760 |
| VCID-hfpv-3wqv-efcc | multiple issues |
CVE-2021-29616
GHSA-4hvv-7x94-7vq8 PYSEC-2021-253 PYSEC-2021-544 PYSEC-2021-742 |
| VCID-hjh6-h2qm-qqf1 | multiple issues |
CVE-2021-37690
GHSA-3hxh-8cp2-g4hg PYSEC-2021-312 PYSEC-2021-603 PYSEC-2021-801 |
| VCID-hqmg-s8md-nfdg | multiple issues |
CVE-2021-29551
GHSA-vqw6-72r7-fgw7 PYSEC-2021-188 PYSEC-2021-479 PYSEC-2021-677 |
| VCID-hxcf-s6zm-vkf4 | multiple issues |
CVE-2021-29566
GHSA-pvrc-hg3f-58r6 PYSEC-2021-203 PYSEC-2021-494 PYSEC-2021-692 |
| VCID-hyby-xv7h-dfhv | multiple issues |
CVE-2021-37661
GHSA-gf88-j2mg-cc82 PYSEC-2021-283 PYSEC-2021-574 PYSEC-2021-772 |
| VCID-j5dh-pqjc-6khb | multiple issues |
CVE-2021-37688
GHSA-vcjj-9vg7-vf68 PYSEC-2021-310 PYSEC-2021-601 PYSEC-2021-799 |
| VCID-jhes-k3ad-eudj | multiple issues |
CVE-2021-37687
GHSA-jwf9-w5xm-f437 PYSEC-2021-309 PYSEC-2021-600 PYSEC-2021-798 |
| VCID-jhg2-36wx-3yak | multiple issues |
CVE-2021-29617
GHSA-mmq6-q8r3-48fm PYSEC-2021-254 PYSEC-2021-545 PYSEC-2021-743 |
| VCID-jzyy-uhc2-mygp | multiple issues |
CVE-2021-37670
GHSA-9697-98pf-4rw7 PYSEC-2021-292 PYSEC-2021-583 PYSEC-2021-781 |
| VCID-k2gy-5yy5-1bda | multiple issues |
CVE-2021-37668
GHSA-2wmv-37vq-52g5 PYSEC-2021-290 PYSEC-2021-581 PYSEC-2021-779 |
| VCID-k3c7-w97n-abgn | multiple issues |
CVE-2021-37679
GHSA-g8wg-cjwc-xhhp PYSEC-2021-301 PYSEC-2021-592 PYSEC-2021-790 |
| VCID-k5j6-8e9q-ebfh | multiple issues |
CVE-2021-37658
GHSA-6p5r-g9mq-ggh2 PYSEC-2021-280 PYSEC-2021-571 PYSEC-2021-769 |
| VCID-kh95-uhfy-4bap | multiple issues |
CVE-2021-37659
GHSA-q3g3-h9r4-prrc PYSEC-2021-281 PYSEC-2021-572 PYSEC-2021-770 |
| VCID-mgmu-rmp5-j3dg | multiple issues |
CVE-2021-29513
GHSA-452g-f7fp-9jf7 PYSEC-2021-150 PYSEC-2021-441 PYSEC-2021-639 |
| VCID-n48p-tmcx-nbgz | multiple issues |
CVE-2021-37637
GHSA-c9qf-r67m-p7cg PYSEC-2021-259 PYSEC-2021-550 PYSEC-2021-748 |
| VCID-nvj2-7te9-b7d6 | multiple issues |
CVE-2021-29558
GHSA-mqh2-9wrp-vx84 PYSEC-2021-195 PYSEC-2021-486 PYSEC-2021-684 |
| VCID-p323-2gvz-y3h8 | multiple issues |
CVE-2021-29535
GHSA-m3f9-w3p3-p669 PYSEC-2021-172 PYSEC-2021-463 PYSEC-2021-661 |
| VCID-p5t8-35k8-sqfa | multiple issues |
CVE-2021-29533
GHSA-393f-2jr3-cp69 PYSEC-2021-170 PYSEC-2021-461 PYSEC-2021-659 |
| VCID-peue-bqmn-uqfg | multiple issues |
CVE-2021-29547
GHSA-4fg4-p75j-w5xj PYSEC-2021-184 PYSEC-2021-475 PYSEC-2021-673 |
| VCID-pgwz-utzn-hkh9 | multiple issues |
CVE-2021-37669
GHSA-vmjw-c2vp-p33c PYSEC-2021-291 PYSEC-2021-582 PYSEC-2021-780 |
| VCID-ps14-2s8s-u3cr | multiple issues |
CVE-2021-37635
GHSA-cgfm-62j4-v4rf PYSEC-2021-257 PYSEC-2021-548 PYSEC-2021-746 |
| VCID-q2ga-y533-jqcj | multiple issues |
CVE-2021-29537
GHSA-8c89-2vwr-chcq PYSEC-2021-174 PYSEC-2021-465 PYSEC-2021-663 |
| VCID-q35a-hgz8-nfdr | multiple issues |
CVE-2021-29534
GHSA-6j9c-grc6-5m6g PYSEC-2021-171 PYSEC-2021-462 PYSEC-2021-660 |
| VCID-q8c5-tvhr-z3dt | multiple issues |
CVE-2021-29585
GHSA-mv78-g7wq-mhp4 PYSEC-2021-222 PYSEC-2021-513 PYSEC-2021-711 |
| VCID-q9ch-e5ap-3fgb | multiple issues |
CVE-2021-29556
GHSA-fxqh-cfjm-fp93 PYSEC-2021-193 PYSEC-2021-484 PYSEC-2021-682 |
| VCID-qa1r-3bun-f7e1 | multiple issues |
CVE-2021-37644
GHSA-27j5-4p9v-pp67 PYSEC-2021-266 PYSEC-2021-557 PYSEC-2021-755 |
| VCID-qg3u-d5ad-wbhh | multiple issues |
CVE-2021-29545
GHSA-hmg3-c7xj-6qwm PYSEC-2021-182 PYSEC-2021-473 PYSEC-2021-671 |
| VCID-r97s-gcmq-57bz | multiple issues |
CVE-2021-29587
GHSA-j7rm-8ww4-xx2g PYSEC-2021-224 PYSEC-2021-515 PYSEC-2021-713 |
| VCID-rvbe-fjhx-k3d8 | multiple issues |
CVE-2021-37673
GHSA-278g-rq84-9hmg PYSEC-2021-295 PYSEC-2021-586 PYSEC-2021-784 |
| VCID-rwm5-mh67-ffak | multiple issues |
CVE-2021-37677
GHSA-qfpc-5pjr-mh26 PYSEC-2021-299 PYSEC-2021-590 PYSEC-2021-788 |
| VCID-rz6x-pgk3-pkhq | multiple issues |
CVE-2021-29595
GHSA-vf94-36g5-69v8 PYSEC-2021-232 PYSEC-2021-523 PYSEC-2021-721 |
| VCID-tdhn-4egx-zkfk | multiple issues |
CVE-2021-37643
GHSA-fcwc-p4fc-c5cc PYSEC-2021-265 PYSEC-2021-556 PYSEC-2021-754 |
| VCID-tsf8-btra-gugr | multiple issues |
CVE-2021-29538
GHSA-j8qc-5fqr-52fp PYSEC-2021-175 PYSEC-2021-466 PYSEC-2021-664 |
| VCID-u5k6-91yj-hygz | multiple issues |
CVE-2021-29544
GHSA-6g85-3hm8-83f9 PYSEC-2021-181 PYSEC-2021-472 PYSEC-2021-670 |
| VCID-u91f-w6ux-zkgm | multiple issues |
CVE-2021-29549
GHSA-x83m-p7pv-ch8v PYSEC-2021-186 PYSEC-2021-477 PYSEC-2021-675 |
| VCID-urvs-ucet-y7ba | multiple issues |
CVE-2021-37674
GHSA-7ghq-fvr3-pj2x PYSEC-2021-296 PYSEC-2021-587 PYSEC-2021-785 |
| VCID-vdrh-8w5d-dffg | multiple issues |
CVE-2021-37660
GHSA-cm5x-837x-jf3c PYSEC-2021-282 PYSEC-2021-573 PYSEC-2021-771 |
| VCID-vpu8-vm54-jqhy | multiple issues |
CVE-2021-29610
GHSA-mq5c-prh3-3f3h PYSEC-2021-247 PYSEC-2021-538 PYSEC-2021-736 |
| VCID-wd74-3jrn-tqag | multiple issues |
CVE-2021-37691
GHSA-27qf-jwm8-g7f3 PYSEC-2021-313 PYSEC-2021-604 PYSEC-2021-802 |
| VCID-xt2w-1h6g-2qe5 | multiple issues |
CVE-2021-37689
GHSA-wf5p-c75w-w3wh PYSEC-2021-311 PYSEC-2021-602 PYSEC-2021-800 |
| VCID-yp3u-58s2-wuh6 | multiple issues |
CVE-2021-37682
GHSA-4c4g-crqm-xrxw PYSEC-2021-304 PYSEC-2021-595 PYSEC-2021-793 |
| VCID-ypp9-9yup-33h6 | multiple issues |
CVE-2021-37663
GHSA-g25h-jr74-qp5j PYSEC-2021-285 PYSEC-2021-576 PYSEC-2021-774 |
| VCID-yy39-1a1s-sqe4 | multiple issues |
CVE-2021-37666
GHSA-w4xf-2pqw-5mq7 PYSEC-2021-288 PYSEC-2021-579 PYSEC-2021-777 |
| VCID-zcdc-4zmj-syct | multiple issues |
CVE-2021-37665
GHSA-v82p-hv3v-p6qp PYSEC-2021-287 PYSEC-2021-578 PYSEC-2021-776 |
| VCID-zmpk-rg58-t3g6 | multiple issues |
CVE-2021-37639
GHSA-gh6x-4whr-2qv4 PYSEC-2021-261 PYSEC-2021-552 PYSEC-2021-750 |
| VCID-zsqp-n2df-3fcm | multiple issues |
CVE-2021-37657
GHSA-5xwc-mrhx-5g3m PYSEC-2021-279 PYSEC-2021-570 PYSEC-2021-768 |