Search for packages
| purl | pkg:pypi/tensorflow-cpu@2.4.2 |
| Vulnerability | Summary | Fixed by |
|---|---|---|
|
VCID-1966-8tnk-77gv
Aliases: CVE-2021-37683 GHSA-rhrq-64mq-hf9h PYSEC-2021-305 PYSEC-2021-596 PYSEC-2021-794 |
multiple issues |
Affected by 85 other vulnerabilities. |
|
VCID-19ka-ye78-gkak
Aliases: CVE-2021-29560 GHSA-8gv3-57p6-g35r PYSEC-2021-197 PYSEC-2021-488 PYSEC-2021-686 |
multiple issues |
Affected by 85 other vulnerabilities. |
|
VCID-1d58-76k6-gqhe
Aliases: CVE-2021-37652 GHSA-m7fm-4jfh-jrg6 PYSEC-2021-274 PYSEC-2021-565 PYSEC-2021-763 |
multiple issues |
Affected by 85 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. |
|
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. |
|
VCID-2k1k-p7zh-guew
Aliases: CVE-2021-37641 GHSA-9c8h-vvrj-w2p8 PYSEC-2021-263 PYSEC-2021-554 PYSEC-2021-752 |
multiple issues |
Affected by 85 other vulnerabilities. |
|
VCID-2pkc-gdjx-7bcf
Aliases: CVE-2021-37650 GHSA-f8h4-7rgh-q2gm PYSEC-2021-272 PYSEC-2021-563 PYSEC-2021-761 |
multiple issues |
Affected by 85 other vulnerabilities. |
|
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. |
|
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. |
|
VCID-3643-715j-8qfb
Aliases: CVE-2021-29563 GHSA-ph87-fvjr-v33w PYSEC-2021-200 PYSEC-2021-491 PYSEC-2021-689 |
multiple issues |
Affected by 85 other vulnerabilities. |
|
VCID-3e9u-gag2-e3bn
Aliases: CVE-2021-37672 GHSA-5hj3-vjjf-f5m7 PYSEC-2021-294 PYSEC-2021-585 PYSEC-2021-783 |
multiple issues |
Affected by 85 other vulnerabilities. |
|
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. |
|
VCID-4de1-psyn-7kej
Aliases: CVE-2021-37676 GHSA-v768-w7m9-2vmm PYSEC-2021-298 PYSEC-2021-589 PYSEC-2021-787 |
multiple issues |
Affected by 85 other vulnerabilities. |
|
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. |
|
VCID-4ujh-25ns-ryge
Aliases: CVE-2021-29552 GHSA-jhq9-wm9m-cf89 PYSEC-2021-189 PYSEC-2021-480 PYSEC-2021-678 |
multiple issues |
Affected by 85 other vulnerabilities. |
|
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. |
|
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 3 other vulnerabilities. |
|
VCID-59ck-jg98-hufk
Aliases: CVE-2021-29539 GHSA-g4h2-gqm3-c9wq PYSEC-2021-176 PYSEC-2021-467 PYSEC-2021-665 |
multiple issues |
Affected by 85 other vulnerabilities. |
|
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. |
|
VCID-5ke1-vz5z-qubj
Aliases: CVE-2021-37655 GHSA-7fvx-3jfc-2cpc PYSEC-2021-277 PYSEC-2021-568 PYSEC-2021-766 |
multiple issues |
Affected by 85 other vulnerabilities. |
|
VCID-5m82-fmvp-4qd1
Aliases: CVE-2021-37667 GHSA-w74j-v8xh-3w5h PYSEC-2021-289 PYSEC-2021-580 PYSEC-2021-778 |
multiple issues |
Affected by 85 other vulnerabilities. |
|
VCID-5xmw-6dmh-myfd
Aliases: CVE-2021-29608 GHSA-rgvq-pcvf-hx75 PYSEC-2021-245 PYSEC-2021-536 PYSEC-2021-734 |
multiple issues |
Affected by 85 other vulnerabilities. |
|
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. |
|
VCID-67ks-3hd1-8fff
Aliases: CVE-2021-37648 GHSA-wp77-4gmm-7cq8 PYSEC-2021-270 PYSEC-2021-561 PYSEC-2021-759 |
multiple issues |
Affected by 85 other vulnerabilities. |
|
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 3 other vulnerabilities. |
|
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. |
|
VCID-6j49-ccph-uqht
Aliases: CVE-2021-37653 GHSA-qjj8-32p7-h289 PYSEC-2021-275 PYSEC-2021-566 PYSEC-2021-764 |
multiple issues |
Affected by 85 other vulnerabilities. |
|
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. |
|
VCID-6nby-ppgb-e3f7
Aliases: CVE-2021-37656 GHSA-4xfp-4pfp-89wg PYSEC-2021-278 PYSEC-2021-569 PYSEC-2021-767 |
multiple issues |
Affected by 85 other vulnerabilities. |
|
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. |
|
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. |
|
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 3 other vulnerabilities. |
|
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. |
|
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 3 other vulnerabilities. |
|
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. |
|
VCID-77ap-cbge-vfam
Aliases: CVE-2021-37647 GHSA-c5x2-p679-95wc PYSEC-2021-269 PYSEC-2021-560 PYSEC-2021-758 |
multiple issues |
Affected by 85 other vulnerabilities. |
|
VCID-799s-fus4-nygx
Aliases: CVE-2021-37640 GHSA-95xm-g58g-3p88 PYSEC-2021-262 PYSEC-2021-553 PYSEC-2021-751 |
multiple issues |
Affected by 85 other vulnerabilities. |
|
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 3 other vulnerabilities. |
|
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 3 other vulnerabilities. |
|
VCID-7jh5-5t2v-tfey
Aliases: CVE-2021-29543 GHSA-fphq-gw9m-ghrv PYSEC-2021-180 PYSEC-2021-471 PYSEC-2021-669 |
multiple issues |
Affected by 85 other vulnerabilities. |
|
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. |
|
VCID-7mym-t3x9-1kba
Aliases: CVE-2021-37686 GHSA-mhhc-q96p-mfm9 PYSEC-2021-308 PYSEC-2021-599 PYSEC-2021-797 |
multiple issues |
Affected by 85 other vulnerabilities. |
|
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. |
|
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. |
|
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 3 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. |
|
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. |
|
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 3 other vulnerabilities. |
|
VCID-8m8a-1xtu-6qe1
Aliases: CVE-2021-29568 GHSA-4p4p-www8-8fv9 PYSEC-2021-205 PYSEC-2021-496 PYSEC-2021-694 |
multiple issues |
Affected by 85 other vulnerabilities. |
|
VCID-8ura-ud9s-tubb
Aliases: CVE-2021-37692 GHSA-cmgw-8vpc-rc59 PYSEC-2021-314 PYSEC-2021-605 PYSEC-2021-803 |
multiple issues |
Affected by 85 other vulnerabilities. |
|
VCID-8vds-6bfq-57gn
Aliases: CVE-2021-29550 GHSA-f78g-q7r4-9wcv PYSEC-2021-187 PYSEC-2021-478 PYSEC-2021-676 |
multiple issues |
Affected by 85 other vulnerabilities. |
|
VCID-8zuz-d9cs-kudv
Aliases: CVE-2021-37684 GHSA-q7f7-544h-67h9 PYSEC-2021-306 PYSEC-2021-597 PYSEC-2021-795 |
multiple issues |
Affected by 85 other vulnerabilities. |
|
VCID-9923-nuxh-eked
Aliases: CVE-2021-29536 GHSA-2gfx-95x2-5v3x PYSEC-2021-173 PYSEC-2021-464 PYSEC-2021-662 |
multiple issues |
Affected by 85 other vulnerabilities. |
|
VCID-9z61-fqek-cyfd
Aliases: CVE-2021-37675 GHSA-9c8h-2mv3-49ww PYSEC-2021-297 PYSEC-2021-588 PYSEC-2021-786 |
multiple issues |
Affected by 85 other vulnerabilities. |
|
VCID-a1qw-qqgu-yba7
Aliases: CVE-2021-29618 GHSA-xqfj-cr6q-pc8w PYSEC-2021-255 PYSEC-2021-546 PYSEC-2021-744 |
multiple issues |
Affected by 85 other vulnerabilities. |
|
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. |
|
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 3 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 3 other vulnerabilities. |
|
VCID-awrv-vnbj-3kg6
Aliases: CVE-2021-37662 GHSA-f5cx-5wr3-5qrc PYSEC-2021-284 PYSEC-2021-575 PYSEC-2021-773 |
multiple issues |
Affected by 85 other vulnerabilities. |
|
VCID-b23t-3kmy-ubea
Aliases: CVE-2021-37671 GHSA-qr82-2c78-4m8h PYSEC-2021-293 PYSEC-2021-584 PYSEC-2021-782 |
multiple issues |
Affected by 85 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 3 other vulnerabilities. |
|
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 3 other vulnerabilities. |
|
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. |
|
VCID-bnhj-ujmq-mqad
Aliases: CVE-2021-37636 GHSA-hp4c-x6r7-6555 PYSEC-2021-258 PYSEC-2021-549 PYSEC-2021-747 |
multiple issues |
Affected by 85 other vulnerabilities. |
|
VCID-bvkn-s2tz-2fdz
Aliases: CVE-2021-29546 GHSA-m34j-p8rj-wjxq PYSEC-2021-183 PYSEC-2021-474 PYSEC-2021-672 |
multiple issues |
Affected by 85 other vulnerabilities. |
|
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. |
|
VCID-c3wv-ty85-nqhc
Aliases: CVE-2021-37685 GHSA-c545-c4f9-rf6v PYSEC-2021-307 PYSEC-2021-598 PYSEC-2021-796 |
multiple issues |
Affected by 85 other vulnerabilities. |
|
VCID-c58x-wt2g-r7h4
Aliases: CVE-2021-37681 GHSA-7xwj-5r4v-429p PYSEC-2021-303 PYSEC-2021-594 PYSEC-2021-792 |
multiple issues |
Affected by 85 other vulnerabilities. |
|
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. |
|
VCID-c9y5-6qrm-eud4
Aliases: CVE-2021-29532 GHSA-j47f-4232-hvv8 PYSEC-2021-169 PYSEC-2021-460 PYSEC-2021-658 |
multiple issues |
Affected by 85 other vulnerabilities. |
|
VCID-cbgv-kvzc-gffm
Aliases: CVE-2021-37642 GHSA-ch4f-829c-v5pw PYSEC-2021-264 PYSEC-2021-555 PYSEC-2021-753 |
multiple issues |
Affected by 85 other vulnerabilities. |
|
VCID-cejb-v628-1ffm
Aliases: CVE-2021-37645 GHSA-9w2p-5mgw-p94c PYSEC-2021-267 PYSEC-2021-558 PYSEC-2021-756 |
multiple issues |
Affected by 85 other vulnerabilities. |
|
VCID-cqub-cr1u-hfgq
Aliases: CVE-2021-37638 GHSA-hwr7-8gxx-fj5p PYSEC-2021-260 PYSEC-2021-551 PYSEC-2021-749 |
multiple issues |
Affected by 85 other vulnerabilities. |
|
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 3 other vulnerabilities. |
|
VCID-cw38-rqj2-wqdz
Aliases: CVE-2021-29583 GHSA-9xh4-23q4-v6wr PYSEC-2021-220 PYSEC-2021-511 PYSEC-2021-709 |
multiple issues |
Affected by 85 other vulnerabilities. |
|
VCID-cwdj-z1sm-9yhg
Aliases: CVE-2021-29540 GHSA-xgc3-m89p-vr3x PYSEC-2021-177 PYSEC-2021-468 PYSEC-2021-666 |
multiple issues |
Affected by 85 other vulnerabilities. |
|
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. |
|
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 3 other vulnerabilities. |
|
VCID-dkne-cc8g-qqfb
Aliases: CVE-2021-37664 GHSA-r4c4-5fpq-56wg PYSEC-2021-286 PYSEC-2021-577 PYSEC-2021-775 |
multiple issues |
Affected by 85 other vulnerabilities. |
|
VCID-ebhp-jwrs-97en
Aliases: CVE-2021-29514 GHSA-8h46-5m9h-7553 PYSEC-2021-151 PYSEC-2021-442 PYSEC-2021-640 |
multiple issues |
Affected by 85 other vulnerabilities. |
|
VCID-ep2z-xrdv-tyhh
Aliases: CVE-2021-37646 GHSA-h6jh-7gv5-28vg PYSEC-2021-268 PYSEC-2021-559 PYSEC-2021-757 |
multiple issues |
Affected by 85 other vulnerabilities. |
|
VCID-ewrz-th6a-augc
Aliases: CVE-2021-37651 GHSA-hpv4-7p9c-mvfr PYSEC-2021-273 PYSEC-2021-564 PYSEC-2021-762 |
multiple issues |
Affected by 85 other vulnerabilities. |
|
VCID-f8h7-zfxn-wbaj
Aliases: CVE-2021-37680 GHSA-cfpj-3q4c-jhvr PYSEC-2021-302 PYSEC-2021-593 PYSEC-2021-791 |
multiple issues |
Affected by 85 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 3 other vulnerabilities. |
|
VCID-fs5e-w6u9-t3e3
Aliases: CVE-2021-29589 GHSA-3w67-q784-6w7c PYSEC-2021-226 PYSEC-2021-517 PYSEC-2021-715 |
multiple issues |
Affected by 85 other vulnerabilities. |
|
VCID-g3af-vhsj-sfbq
Aliases: CVE-2021-37654 GHSA-2r8p-fg3c-wcj4 PYSEC-2021-276 PYSEC-2021-567 PYSEC-2021-765 |
multiple issues |
Affected by 85 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. |
|
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. |
|
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. |
|
VCID-gfss-uup9-vbcg
Aliases: CVE-2021-37678 GHSA-r6jx-9g48-2r5r PYSEC-2021-300 PYSEC-2021-591 PYSEC-2021-789 |
multiple issues |
Affected by 85 other vulnerabilities. |
|
VCID-gkfg-96vh-4yfh
Aliases: CVE-2021-29571 GHSA-whr9-vfh2-7hm6 PYSEC-2021-208 PYSEC-2021-499 PYSEC-2021-697 |
multiple issues |
Affected by 85 other vulnerabilities. |
|
VCID-gtvx-jmfk-m3as
Aliases: CVE-2021-37649 GHSA-6gv8-p3vj-pxvr PYSEC-2021-271 PYSEC-2021-562 PYSEC-2021-760 |
multiple issues |
Affected by 85 other vulnerabilities. |
|
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 3 other vulnerabilities. |
|
VCID-hfpv-3wqv-efcc
Aliases: CVE-2021-29616 GHSA-4hvv-7x94-7vq8 PYSEC-2021-253 PYSEC-2021-544 PYSEC-2021-742 |
multiple issues |
Affected by 85 other vulnerabilities. |
|
VCID-hjh6-h2qm-qqf1
Aliases: CVE-2021-37690 GHSA-3hxh-8cp2-g4hg PYSEC-2021-312 PYSEC-2021-603 PYSEC-2021-801 |
multiple issues |
Affected by 85 other vulnerabilities. |
|
VCID-hqmg-s8md-nfdg
Aliases: CVE-2021-29551 GHSA-vqw6-72r7-fgw7 PYSEC-2021-188 PYSEC-2021-479 PYSEC-2021-677 |
multiple issues |
Affected by 85 other vulnerabilities. |
|
VCID-hxcf-s6zm-vkf4
Aliases: CVE-2021-29566 GHSA-pvrc-hg3f-58r6 PYSEC-2021-203 PYSEC-2021-494 PYSEC-2021-692 |
multiple issues |
Affected by 85 other vulnerabilities. |
|
VCID-hyby-xv7h-dfhv
Aliases: CVE-2021-37661 GHSA-gf88-j2mg-cc82 PYSEC-2021-283 PYSEC-2021-574 PYSEC-2021-772 |
multiple issues |
Affected by 85 other vulnerabilities. |
|
VCID-j5dh-pqjc-6khb
Aliases: CVE-2021-37688 GHSA-vcjj-9vg7-vf68 PYSEC-2021-310 PYSEC-2021-601 PYSEC-2021-799 |
multiple issues |
Affected by 85 other vulnerabilities. |
|
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. |
|
VCID-jhes-k3ad-eudj
Aliases: CVE-2021-37687 GHSA-jwf9-w5xm-f437 PYSEC-2021-309 PYSEC-2021-600 PYSEC-2021-798 |
multiple issues |
Affected by 85 other vulnerabilities. |
|
VCID-jhg2-36wx-3yak
Aliases: CVE-2021-29617 GHSA-mmq6-q8r3-48fm PYSEC-2021-254 PYSEC-2021-545 PYSEC-2021-743 |
multiple issues |
Affected by 85 other vulnerabilities. |
|
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. |
|
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. |
|
VCID-jzyy-uhc2-mygp
Aliases: CVE-2021-37670 GHSA-9697-98pf-4rw7 PYSEC-2021-292 PYSEC-2021-583 PYSEC-2021-781 |
multiple issues |
Affected by 85 other vulnerabilities. |
|
VCID-k2gy-5yy5-1bda
Aliases: CVE-2021-37668 GHSA-2wmv-37vq-52g5 PYSEC-2021-290 PYSEC-2021-581 PYSEC-2021-779 |
multiple issues |
Affected by 85 other vulnerabilities. |
|
VCID-k3c7-w97n-abgn
Aliases: CVE-2021-37679 GHSA-g8wg-cjwc-xhhp PYSEC-2021-301 PYSEC-2021-592 PYSEC-2021-790 |
multiple issues |
Affected by 85 other vulnerabilities. |
|
VCID-k5j6-8e9q-ebfh
Aliases: CVE-2021-37658 GHSA-6p5r-g9mq-ggh2 PYSEC-2021-280 PYSEC-2021-571 PYSEC-2021-769 |
multiple issues |
Affected by 85 other vulnerabilities. |
|
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. |
|
VCID-kh95-uhfy-4bap
Aliases: CVE-2021-37659 GHSA-q3g3-h9r4-prrc PYSEC-2021-281 PYSEC-2021-572 PYSEC-2021-770 |
multiple issues |
Affected by 85 other vulnerabilities. |
|
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 3 other vulnerabilities. |
|
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. |
|
VCID-mgmu-rmp5-j3dg
Aliases: CVE-2021-29513 GHSA-452g-f7fp-9jf7 PYSEC-2021-150 PYSEC-2021-441 PYSEC-2021-639 |
multiple issues |
Affected by 85 other vulnerabilities. |
|
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. |
|
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. |
|
VCID-n48p-tmcx-nbgz
Aliases: CVE-2021-37637 GHSA-c9qf-r67m-p7cg PYSEC-2021-259 PYSEC-2021-550 PYSEC-2021-748 |
multiple issues |
Affected by 85 other vulnerabilities. |
|
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. |
|
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 3 other vulnerabilities. |
|
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. |
|
VCID-nvj2-7te9-b7d6
Aliases: CVE-2021-29558 GHSA-mqh2-9wrp-vx84 PYSEC-2021-195 PYSEC-2021-486 PYSEC-2021-684 |
multiple issues |
Affected by 85 other vulnerabilities. |
|
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 3 other vulnerabilities. |
|
VCID-p323-2gvz-y3h8
Aliases: CVE-2021-29535 GHSA-m3f9-w3p3-p669 PYSEC-2021-172 PYSEC-2021-463 PYSEC-2021-661 |
multiple issues |
Affected by 85 other vulnerabilities. |
|
VCID-p5t8-35k8-sqfa
Aliases: CVE-2021-29533 GHSA-393f-2jr3-cp69 PYSEC-2021-170 PYSEC-2021-461 PYSEC-2021-659 |
multiple issues |
Affected by 85 other vulnerabilities. |
|
VCID-peue-bqmn-uqfg
Aliases: CVE-2021-29547 GHSA-4fg4-p75j-w5xj PYSEC-2021-184 PYSEC-2021-475 PYSEC-2021-673 |
multiple issues |
Affected by 85 other vulnerabilities. |
|
VCID-pgwz-utzn-hkh9
Aliases: CVE-2021-37669 GHSA-vmjw-c2vp-p33c PYSEC-2021-291 PYSEC-2021-582 PYSEC-2021-780 |
multiple issues |
Affected by 85 other vulnerabilities. |
|
VCID-ps14-2s8s-u3cr
Aliases: CVE-2021-37635 GHSA-cgfm-62j4-v4rf PYSEC-2021-257 PYSEC-2021-548 PYSEC-2021-746 |
multiple issues |
Affected by 85 other vulnerabilities. |
|
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. |
|
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. |
|
VCID-q2ga-y533-jqcj
Aliases: CVE-2021-29537 GHSA-8c89-2vwr-chcq PYSEC-2021-174 PYSEC-2021-465 PYSEC-2021-663 |
multiple issues |
Affected by 85 other vulnerabilities. |
|
VCID-q35a-hgz8-nfdr
Aliases: CVE-2021-29534 GHSA-6j9c-grc6-5m6g PYSEC-2021-171 PYSEC-2021-462 PYSEC-2021-660 |
multiple issues |
Affected by 85 other vulnerabilities. |
|
VCID-q8c5-tvhr-z3dt
Aliases: CVE-2021-29585 GHSA-mv78-g7wq-mhp4 PYSEC-2021-222 PYSEC-2021-513 PYSEC-2021-711 |
multiple issues |
Affected by 85 other vulnerabilities. |
|
VCID-q9ch-e5ap-3fgb
Aliases: CVE-2021-29556 GHSA-fxqh-cfjm-fp93 PYSEC-2021-193 PYSEC-2021-484 PYSEC-2021-682 |
multiple issues |
Affected by 85 other vulnerabilities. |
|
VCID-qa1r-3bun-f7e1
Aliases: CVE-2021-37644 GHSA-27j5-4p9v-pp67 PYSEC-2021-266 PYSEC-2021-557 PYSEC-2021-755 |
multiple issues |
Affected by 85 other vulnerabilities. |
|
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 3 other vulnerabilities. |
|
VCID-qg3u-d5ad-wbhh
Aliases: CVE-2021-29545 GHSA-hmg3-c7xj-6qwm PYSEC-2021-182 PYSEC-2021-473 PYSEC-2021-671 |
multiple issues |
Affected by 85 other vulnerabilities. |
|
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 3 other vulnerabilities. |
|
VCID-r97s-gcmq-57bz
Aliases: CVE-2021-29587 GHSA-j7rm-8ww4-xx2g PYSEC-2021-224 PYSEC-2021-515 PYSEC-2021-713 |
multiple issues |
Affected by 85 other vulnerabilities. |
|
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. |
|
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. |
|
VCID-rvbe-fjhx-k3d8
Aliases: CVE-2021-37673 GHSA-278g-rq84-9hmg PYSEC-2021-295 PYSEC-2021-586 PYSEC-2021-784 |
multiple issues |
Affected by 85 other vulnerabilities. |
|
VCID-rwm5-mh67-ffak
Aliases: CVE-2021-37677 GHSA-qfpc-5pjr-mh26 PYSEC-2021-299 PYSEC-2021-590 PYSEC-2021-788 |
multiple issues |
Affected by 85 other vulnerabilities. |
|
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. |
|
VCID-rz6x-pgk3-pkhq
Aliases: CVE-2021-29595 GHSA-vf94-36g5-69v8 PYSEC-2021-232 PYSEC-2021-523 PYSEC-2021-721 |
multiple issues |
Affected by 85 other vulnerabilities. |
|
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. |
|
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. |
|
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. |
|
VCID-tdhn-4egx-zkfk
Aliases: CVE-2021-37643 GHSA-fcwc-p4fc-c5cc PYSEC-2021-265 PYSEC-2021-556 PYSEC-2021-754 |
multiple issues |
Affected by 85 other vulnerabilities. |
|
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. |
|
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 3 other vulnerabilities. |
|
VCID-tsf8-btra-gugr
Aliases: CVE-2021-29538 GHSA-j8qc-5fqr-52fp PYSEC-2021-175 PYSEC-2021-466 PYSEC-2021-664 |
multiple issues |
Affected by 85 other vulnerabilities. |
|
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 3 other vulnerabilities. |
|
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. |
|
VCID-u5k6-91yj-hygz
Aliases: CVE-2021-29544 GHSA-6g85-3hm8-83f9 PYSEC-2021-181 PYSEC-2021-472 PYSEC-2021-670 |
multiple issues |
Affected by 85 other vulnerabilities. |
|
VCID-u91f-w6ux-zkgm
Aliases: CVE-2021-29549 GHSA-x83m-p7pv-ch8v PYSEC-2021-186 PYSEC-2021-477 PYSEC-2021-675 |
multiple issues |
Affected by 85 other vulnerabilities. |
|
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 3 other vulnerabilities. |
|
VCID-urvs-ucet-y7ba
Aliases: CVE-2021-37674 GHSA-7ghq-fvr3-pj2x PYSEC-2021-296 PYSEC-2021-587 PYSEC-2021-785 |
multiple issues |
Affected by 85 other vulnerabilities. |
|
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 3 other vulnerabilities. |
|
VCID-vdrh-8w5d-dffg
Aliases: CVE-2021-37660 GHSA-cm5x-837x-jf3c PYSEC-2021-282 PYSEC-2021-573 PYSEC-2021-771 |
multiple issues |
Affected by 85 other vulnerabilities. |
|
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. |
|
VCID-vpu8-vm54-jqhy
Aliases: CVE-2021-29610 GHSA-mq5c-prh3-3f3h PYSEC-2021-247 PYSEC-2021-538 PYSEC-2021-736 |
multiple issues |
Affected by 85 other vulnerabilities. |
|
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 3 other vulnerabilities. |
|
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. |
|
VCID-wd74-3jrn-tqag
Aliases: CVE-2021-37691 GHSA-27qf-jwm8-g7f3 PYSEC-2021-313 PYSEC-2021-604 PYSEC-2021-802 |
multiple issues |
Affected by 85 other vulnerabilities. |
|
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 3 other vulnerabilities. |
|
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 3 other vulnerabilities. |
|
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 3 other vulnerabilities. |
|
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. |
|
VCID-xt2w-1h6g-2qe5
Aliases: CVE-2021-37689 GHSA-wf5p-c75w-w3wh PYSEC-2021-311 PYSEC-2021-602 PYSEC-2021-800 |
multiple issues |
Affected by 85 other vulnerabilities. |
|
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 3 other vulnerabilities. |
|
VCID-yp3u-58s2-wuh6
Aliases: CVE-2021-37682 GHSA-4c4g-crqm-xrxw PYSEC-2021-304 PYSEC-2021-595 PYSEC-2021-793 |
multiple issues |
Affected by 85 other vulnerabilities. |
|
VCID-ypp9-9yup-33h6
Aliases: CVE-2021-37663 GHSA-g25h-jr74-qp5j PYSEC-2021-285 PYSEC-2021-576 PYSEC-2021-774 |
multiple issues |
Affected by 85 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. |
|
VCID-yy39-1a1s-sqe4
Aliases: CVE-2021-37666 GHSA-w4xf-2pqw-5mq7 PYSEC-2021-288 PYSEC-2021-579 PYSEC-2021-777 |
multiple issues |
Affected by 85 other vulnerabilities. |
|
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. |
|
VCID-zcdc-4zmj-syct
Aliases: CVE-2021-37665 GHSA-v82p-hv3v-p6qp PYSEC-2021-287 PYSEC-2021-578 PYSEC-2021-776 |
multiple issues |
Affected by 85 other vulnerabilities. |
|
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. |
|
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. |
|
VCID-zmpk-rg58-t3g6
Aliases: CVE-2021-37639 GHSA-gh6x-4whr-2qv4 PYSEC-2021-261 PYSEC-2021-552 PYSEC-2021-750 |
multiple issues |
Affected by 85 other vulnerabilities. |
|
VCID-zsqp-n2df-3fcm
Aliases: CVE-2021-37657 GHSA-5xwc-mrhx-5g3m PYSEC-2021-279 PYSEC-2021-570 PYSEC-2021-768 |
multiple issues |
Affected by 85 other vulnerabilities. |
|
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. |
| Vulnerability | Summary | Aliases |
|---|---|---|
| VCID-12ag-tat1-gka9 | multiple issues |
CVE-2021-29613
GHSA-vvg4-vgrv-xfr7 PYSEC-2021-250 PYSEC-2021-541 PYSEC-2021-739 |
| VCID-16jz-8vkj-eud8 | multiple issues |
CVE-2021-29561
GHSA-gvm4-h8j3-rjrq PYSEC-2021-198 PYSEC-2021-489 PYSEC-2021-687 |
| VCID-16mm-ycqw-uqek | multiple issues |
CVE-2021-29606
GHSA-h4pc-gx2w-f2xv PYSEC-2021-243 PYSEC-2021-534 PYSEC-2021-732 |
| VCID-18bk-11va-3bdt | multiple issues |
CVE-2021-29528
GHSA-6f84-42vf-ppwp PYSEC-2021-165 PYSEC-2021-456 PYSEC-2021-654 |
| VCID-196x-apq7-h7e7 | multiple issues |
CVE-2021-29553
GHSA-h9px-9vqg-222h PYSEC-2021-190 PYSEC-2021-481 PYSEC-2021-679 |
| VCID-1evq-xf8d-tbaj | multiple issues |
CVE-2021-29584
GHSA-xvjm-fvxx-q3hv PYSEC-2021-221 PYSEC-2021-512 PYSEC-2021-710 |
| VCID-21ec-1t3c-uffr | multiple issues |
CVE-2021-29529
GHSA-jfp7-4j67-8r3q PYSEC-2021-166 PYSEC-2021-457 PYSEC-2021-655 |
| VCID-2264-dhde-xkd2 | multiple issues |
CVE-2021-29516
GHSA-84mw-34w6-2q43 PYSEC-2021-153 PYSEC-2021-444 PYSEC-2021-642 |
| VCID-2qgn-e3gc-sffu | multiple issues |
CVE-2021-29619
GHSA-wvjw-p9f5-vq28 PYSEC-2021-256 PYSEC-2021-547 PYSEC-2021-745 |
| VCID-2wfc-evgs-8qgy | multiple issues |
CVE-2021-29601
GHSA-9c84-4hx6-xmm4 PYSEC-2021-238 PYSEC-2021-529 PYSEC-2021-727 |
| VCID-3d16-2aaa-vfdx | multiple issues |
CVE-2021-29588
GHSA-vfr4-x8j2-3rf9 PYSEC-2021-225 PYSEC-2021-516 PYSEC-2021-714 |
| VCID-3jda-g49u-cydb | multiple issues |
CVE-2021-29605
GHSA-jf7h-7m85-w2v2 PYSEC-2021-242 PYSEC-2021-533 PYSEC-2021-731 |
| VCID-4fh9-ct4y-q7bh | multiple issues |
CVE-2021-29570
GHSA-545v-42p7-98fq PYSEC-2021-207 PYSEC-2021-498 PYSEC-2021-696 |
| VCID-4ry9-3mje-w7db | multiple issues |
CVE-2021-29565
GHSA-r6pg-pjwc-j585 PYSEC-2021-202 PYSEC-2021-493 PYSEC-2021-691 |
| VCID-4ufg-8qpz-vkfh | multiple issues |
CVE-2021-29592
GHSA-jjr8-m8g8-p6wv PYSEC-2021-229 PYSEC-2021-520 PYSEC-2021-718 |
| VCID-58yc-xxq9-b3cj | multiple issues |
CVE-2021-29559
GHSA-59q2-x2qc-4c97 PYSEC-2021-196 PYSEC-2021-487 PYSEC-2021-685 |
| VCID-6nwu-16c4-zub4 | multiple issues |
CVE-2021-29582
GHSA-c45w-2wxr-pp53 PYSEC-2021-219 PYSEC-2021-510 PYSEC-2021-708 |
| VCID-72kc-wrzg-1fem | multiple issues |
CVE-2021-29567
GHSA-wp3c-xw9g-gpcg PYSEC-2021-204 PYSEC-2021-495 PYSEC-2021-693 |
| VCID-73f5-1wu8-hyad | multiple issues |
CVE-2021-29594
GHSA-3qgw-p4fm-x7gf PYSEC-2021-231 PYSEC-2021-522 PYSEC-2021-720 |
| VCID-7uz4-aqf7-7kd6 | multiple issues |
CVE-2021-29519
GHSA-772j-h9xw-ffp5 PYSEC-2021-156 PYSEC-2021-447 PYSEC-2021-645 |
| VCID-88wb-nvj1-hff7 | multiple issues |
CVE-2021-29564
GHSA-75f6-78jr-4656 PYSEC-2021-201 PYSEC-2021-492 PYSEC-2021-690 |
| VCID-9arq-1tkc-9ygx | multiple issues |
CVE-2021-29569
GHSA-3h8m-483j-7xxm PYSEC-2021-206 PYSEC-2021-497 PYSEC-2021-695 |
| VCID-9m2f-4p8m-yudc | multiple issues |
CVE-2021-29579
GHSA-79fv-9865-4qcv PYSEC-2021-216 PYSEC-2021-507 PYSEC-2021-705 |
| VCID-9ngh-ejcp-5uam | multiple issues |
CVE-2021-29522
GHSA-c968-pq7h-7fxv PYSEC-2021-159 PYSEC-2021-450 PYSEC-2021-648 |
| VCID-agdq-htep-yqd8 | multiple issues |
CVE-2021-29609
GHSA-cjc7-49v2-jp64 PYSEC-2021-246 PYSEC-2021-537 PYSEC-2021-735 |
| VCID-bqz5-ccx5-v3ga | multiple issues |
CVE-2021-29526
GHSA-4vf2-4xcg-65cx PYSEC-2021-163 PYSEC-2021-454 PYSEC-2021-652 |
| VCID-c9xx-2q93-tuau | multiple issues |
CVE-2021-29611
GHSA-9rpc-5v9q-5r7f PYSEC-2021-248 PYSEC-2021-539 PYSEC-2021-737 |
| VCID-dc34-decx-k3hh | multiple issues |
CVE-2021-29596
GHSA-4vrf-ff7v-hpgr PYSEC-2021-233 PYSEC-2021-524 PYSEC-2021-722 |
| VCID-dkd3-m81p-afga | multiple issues |
CVE-2021-29581
GHSA-vq2r-5xvm-3hc3 PYSEC-2021-218 PYSEC-2021-509 PYSEC-2021-707 |
| VCID-dzps-vajm-zyc7 | multiple issues |
CVE-2021-29575
GHSA-6qgm-fv6v-rfpv PYSEC-2021-212 PYSEC-2021-503 PYSEC-2021-701 |
| VCID-ek6s-f4ee-pqdb | multiple issues |
CVE-2021-29557
GHSA-xw93-v57j-fcgh PYSEC-2021-194 PYSEC-2021-485 PYSEC-2021-683 |
| VCID-ek9g-fqpc-s7a5 | multiple issues |
CVE-2021-29524
GHSA-r4pj-74mg-8868 PYSEC-2021-161 PYSEC-2021-452 PYSEC-2021-650 |
| VCID-f1y6-1m5y-nyeb | multiple issues |
CVE-2021-29548
GHSA-p45v-v4pw-77jr PYSEC-2021-185 PYSEC-2021-476 PYSEC-2021-674 |
| VCID-ff6q-r2px-skfx | multiple issues |
CVE-2021-29603
GHSA-crch-j389-5f84 PYSEC-2021-240 PYSEC-2021-531 PYSEC-2021-729 |
| VCID-fsvt-37wk-3ban | multiple issues |
CVE-2021-29525
GHSA-xm2v-8rrw-w9pm PYSEC-2021-162 PYSEC-2021-453 PYSEC-2021-651 |
| VCID-h4v7-a4q6-vkbk | multiple issues |
CVE-2021-29555
GHSA-r35g-4525-29fq PYSEC-2021-192 PYSEC-2021-483 PYSEC-2021-681 |
| VCID-hfdu-27kr-sydk | multiple issues |
CVE-2021-29614
GHSA-8pmx-p244-g88h PYSEC-2021-251 PYSEC-2021-542 PYSEC-2021-740 |
| VCID-jcsd-39zt-mff3 | multiple issues |
CVE-2021-29590
GHSA-24x6-8c7m-hv3f PYSEC-2021-227 PYSEC-2021-518 PYSEC-2021-716 |
| VCID-jw2t-x5rp-cuak | multiple issues |
CVE-2021-29586
GHSA-26j7-6w8w-7922 PYSEC-2021-223 PYSEC-2021-514 PYSEC-2021-712 |
| VCID-ktkb-wn56-qfdk | multiple issues |
CVE-2021-29518
GHSA-62gx-355r-9fhg PYSEC-2021-155 PYSEC-2021-446 PYSEC-2021-644 |
| VCID-msu6-6ceu-sfhp | multiple issues |
CVE-2021-29517
GHSA-772p-x54p-hjrv PYSEC-2021-154 PYSEC-2021-445 PYSEC-2021-643 |
| VCID-mvd2-c7j6-j3af | multiple issues |
CVE-2021-29523
GHSA-2cpx-427x-q2c6 PYSEC-2021-160 PYSEC-2021-451 PYSEC-2021-649 |
| VCID-nvfv-wvym-z3dd | multiple issues |
CVE-2021-29599
GHSA-97wf-p777-86jq PYSEC-2021-236 PYSEC-2021-527 PYSEC-2021-725 |
| VCID-nvng-rhqm-rydz | multiple issues |
CVE-2021-29541
GHSA-xqfj-35wv-m3cr PYSEC-2021-178 PYSEC-2021-469 PYSEC-2021-667 |
| VCID-qgzx-tdkx-5fb5 | multiple issues |
CVE-2021-29615
GHSA-qw5h-7f53-xrp6 PYSEC-2021-252 PYSEC-2021-543 PYSEC-2021-741 |
| VCID-qmh5-jqk8-4kb1 | multiple issues |
CVE-2021-29521
GHSA-hr84-fqvp-48mm PYSEC-2021-158 PYSEC-2021-449 PYSEC-2021-647 |
| VCID-qr4x-dcdm-ryff | multiple issues |
CVE-2021-29515
GHSA-hc6c-75p4-hmq4 PYSEC-2021-152 PYSEC-2021-443 PYSEC-2021-641 |
| VCID-r1ps-696b-eydq | multiple issues |
CVE-2021-29531
GHSA-3qxp-qjq7-w4hf PYSEC-2021-168 PYSEC-2021-459 PYSEC-2021-657 |
| VCID-r39c-4e32-efef | multiple issues |
CVE-2021-29580
GHSA-x8h6-xgqx-jqgp PYSEC-2021-217 PYSEC-2021-508 PYSEC-2021-706 |
| VCID-rwg3-mgdg-53gu | multiple issues |
CVE-2021-29612
GHSA-2xgj-xhgf-ggjv PYSEC-2021-249 PYSEC-2021-540 PYSEC-2021-738 |
| VCID-rz6u-b53k-mugy | multiple issues |
CVE-2021-29591
GHSA-cwv3-863g-39vx PYSEC-2021-228 PYSEC-2021-519 PYSEC-2021-717 |
| VCID-s14j-5by2-wkad | multiple issues |
CVE-2021-29600
GHSA-j8qh-3xrq-c825 PYSEC-2021-237 PYSEC-2021-528 PYSEC-2021-726 |
| VCID-s1sv-bbdn-dufy | multiple issues |
CVE-2021-29598
GHSA-pmpr-55fj-r229 PYSEC-2021-235 PYSEC-2021-526 PYSEC-2021-724 |
| VCID-s9h2-34vm-uuee | multiple issues |
CVE-2021-29520
GHSA-wcv5-qrj6-9pfm PYSEC-2021-157 PYSEC-2021-448 PYSEC-2021-646 |
| VCID-tes7-qh2s-c3fc | multiple issues |
CVE-2021-29562
GHSA-36vm-xw34-x4pj PYSEC-2021-199 PYSEC-2021-490 PYSEC-2021-688 |
| VCID-ucn5-x3dt-27gy | multiple issues |
CVE-2021-29593
GHSA-cfx7-2xpc-8w4h PYSEC-2021-230 PYSEC-2021-521 PYSEC-2021-719 |
| VCID-udg9-wgju-gfem | multiple issues |
CVE-2021-29604
GHSA-8rm6-75mf-7r7r PYSEC-2021-241 PYSEC-2021-532 PYSEC-2021-730 |
| VCID-uunc-4x3a-ukf3 | multiple issues |
CVE-2021-29602
GHSA-rf3h-xgv5-2q39 PYSEC-2021-239 PYSEC-2021-530 PYSEC-2021-728 |
| VCID-uxua-8x9x-qqd8 | multiple issues |
CVE-2021-29574
GHSA-828x-qc2p-wprq PYSEC-2021-211 PYSEC-2021-502 PYSEC-2021-700 |
| VCID-v6yx-yd5n-1kfy | multiple issues |
CVE-2021-29527
GHSA-x4g7-fvjj-prg8 PYSEC-2021-164 PYSEC-2021-455 PYSEC-2021-653 |
| VCID-v95c-y9at-gqd6 | multiple issues |
CVE-2021-29542
GHSA-4hrh-9vmp-2jgg PYSEC-2021-179 PYSEC-2021-470 PYSEC-2021-668 |
| VCID-vzpd-apmu-xbe4 | multiple issues |
CVE-2021-29572
GHSA-5gqf-456p-4836 PYSEC-2021-209 PYSEC-2021-500 PYSEC-2021-698 |
| VCID-x4pj-t6q1-m7ga | multiple issues |
CVE-2021-29530
GHSA-xcwj-wfcm-m23c PYSEC-2021-167 PYSEC-2021-458 PYSEC-2021-656 |
| VCID-xb6k-1cfd-ykb9 | multiple issues |
CVE-2021-29512
GHSA-4278-2v5v-65r4 PYSEC-2021-149 PYSEC-2021-440 PYSEC-2021-638 |
| VCID-xk5n-nxxm-j7fr | multiple issues |
CVE-2021-29554
GHSA-qg48-85hg-mqc5 PYSEC-2021-191 PYSEC-2021-482 PYSEC-2021-680 |
| VCID-xt64-z2u2-kkd6 | multiple issues |
CVE-2021-29578
GHSA-6f89-8j54-29xf PYSEC-2021-215 PYSEC-2021-506 PYSEC-2021-704 |
| VCID-xvm3-prar-bqg3 | multiple issues |
CVE-2021-29573
GHSA-9vpm-rcf4-9wqw PYSEC-2021-210 PYSEC-2021-501 PYSEC-2021-699 |
| VCID-ykwa-vws8-3kfj | multiple issues |
CVE-2021-29597
GHSA-v52p-hfjf-wg88 PYSEC-2021-234 PYSEC-2021-525 PYSEC-2021-723 |
| VCID-ync7-cxk4-byfg | multiple issues |
CVE-2021-29576
GHSA-7cqx-92hp-x6wh PYSEC-2021-213 PYSEC-2021-504 PYSEC-2021-702 |
| VCID-yq3m-mr4f-kfgw | multiple issues |
CVE-2021-29577
GHSA-v6r6-84gr-92rm PYSEC-2021-214 PYSEC-2021-505 PYSEC-2021-703 |
| VCID-z7f3-8vck-t7aj | multiple issues |
CVE-2021-29607
GHSA-gv26-jpj9-c8gq PYSEC-2021-244 PYSEC-2021-535 PYSEC-2021-733 |