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Prevent use after free in `DecodePng` kernel.
We are cleaning up the memory in `decode` and then we are using an `OP_REQUIRES` to check an invariant on the `decode` data.
PiperOrigin-RevId: 409299145
Change-Id: I4eb93aaca52483eb202e89b78df07fbb2f6cb254 | e746adbfcfee15e9cfdb391ff746c765b99bdf9b | tensorflow | cvefixes | 1 | https://github.com/tensorflow/tensorflow | https://github.com/tensorflow/tensorflow/commit/e746adbfcfee15e9cfdb391ff746c765b99bdf9b | 2021-11-11 19:18:59-08:00 |
Prevent memory leak in decoding PNG images.
PiperOrigin-RevId: 409300653
Change-Id: I6182124c545989cef80cefd439b659095920763b | ab51e5b813573dc9f51efa335aebcf2994125ee9 | tensorflow | cvefixes | 1 | https://github.com/tensorflow/tensorflow | https://github.com/tensorflow/tensorflow/commit/ab51e5b813573dc9f51efa335aebcf2994125ee9 | 2021-11-11 19:36:01-08:00 |
Validate real and expected type of arguments to cwise ops.
Without this validation, it is possible to trigger a `CHECK`-fail denial of service.
This is a rollforward of a previous commit which was rolled back as it was relying on RTTI. This time we don't use RTTI, we replace `typeid(Tin).name()` with a double function call, `DataTypeString(DataTypeToEnum<Tin>::v())`.
PiperOrigin-RevId: 409340416
Change-Id: I96080b2796729a3a9b65e7c68307ac276070f2f0 | a7c02f1a9bbc35473969618a09ee5f9f5d3e52d9 | tensorflow | cvefixes | 1 | https://github.com/tensorflow/tensorflow | https://github.com/tensorflow/tensorflow/commit/a7c02f1a9bbc35473969618a09ee5f9f5d3e52d9 | 2021-11-12 00:29:24-08:00 |
Eliminate `CHECK`-fail from `function.cc`.
PiperOrigin-RevId: 409414744
Change-Id: Ic854e12ab2edb88b165d32e2d632c4ee654d71ad | 3d89911481ba6ebe8c88c1c0b595412121e6c645 | tensorflow | cvefixes | 1 | https://github.com/tensorflow/tensorflow | https://github.com/tensorflow/tensorflow/commit/3d89911481ba6ebe8c88c1c0b595412121e6c645 | 2021-11-12 08:17:44-08:00 |
Check for type inference error on node construction.
PiperOrigin-RevId: 409415804
Change-Id: Ieb6e020906b96f522bf8e2fa103715ddbbdc434a | 955059813cc325dc1db5e2daa6221271406d4439 | tensorflow | cvefixes | 1 | https://github.com/tensorflow/tensorflow | https://github.com/tensorflow/tensorflow/commit/955059813cc325dc1db5e2daa6221271406d4439 | 2021-11-12 08:23:09-08:00 |
Eliminate debug `CHECK`-fail from `function.cc`
PiperOrigin-RevId: 409416119
Change-Id: I8376ee464d434e9b970ff0ad49edfdaa2a273cfe | dcc21c7bc972b10b6fb95c2fb0f4ab5a59680ec2 | tensorflow | cvefixes | 1 | https://github.com/tensorflow/tensorflow | https://github.com/tensorflow/tensorflow/commit/dcc21c7bc972b10b6fb95c2fb0f4ab5a59680ec2 | 2021-11-12 08:28:29-08:00 |
Handle invalid inputs instead of crashing.
PiperOrigin-RevId: 409549744
Change-Id: I7f5935b34b53f7e426a5462fcc027bdbf5dcda24 | c99d98cd189839dcf51aee94e7437b54b31f8abd | tensorflow | cvefixes | 1 | https://github.com/tensorflow/tensorflow | https://github.com/tensorflow/tensorflow/commit/c99d98cd189839dcf51aee94e7437b54b31f8abd | 2021-11-12 17:47:55-08:00 |
Prevent `CHECK`-fail when building reference tensor.
The tensor constructor does not allow reference dtypes, as these should not show up explicitly. However, when passed these invalid types instead of building an invalid object the constructor crashes via a `CHECK`-fail. We have a static builder that properly handles this case but is not applicable given current usage.
Instead, before calling the constructor, we can check that the dtype is not a reference type and return an error otherwise, given that the dtype is user controlled so malicious users can trigger denial of service.
PiperOrigin-RevId: 409662503
Change-Id: I5892f831fde7f276cd7ab34519cf6b8061c71a59 | 6b5adc0877de832b2a7c189532dbbbc64622eeb6 | tensorflow | cvefixes | 1 | https://github.com/tensorflow/tensorflow | https://github.com/tensorflow/tensorflow/commit/6b5adc0877de832b2a7c189532dbbbc64622eeb6 | 2021-11-13 07:34:25-08:00 |
Prevent overflow in grappler cost estimation of crop&resize op.
The crop parameters are user controlled, so we should make sure a user can not trigger an overflow maliciously.
PiperOrigin-RevId: 409670234
Change-Id: I7994734a98b037c5642e051240329d16f959aae4 | 0aaaae6eca5a7175a193696383f582f53adab23f | tensorflow | cvefixes | 1 | https://github.com/tensorflow/tensorflow | https://github.com/tensorflow/tensorflow/commit/0aaaae6eca5a7175a193696383f582f53adab23f | 2021-11-13 08:23:57-08:00 |
Prevent null pointer dereference in constant folding.
Under certain conditions, an invalid protobuf saved model with invalid nodes would be loaded. During optimization phase, Grappler optimizer will then dereference a null pointer.
PiperOrigin-RevId: 409683530
Change-Id: I1f10340a7ec384bc9bc587300390f1078cf5caa0 | 0a365c029e437be0349c31f8d4c9926b69fa3fa1 | tensorflow | cvefixes | 1 | https://github.com/tensorflow/tensorflow | https://github.com/tensorflow/tensorflow/commit/0a365c029e437be0349c31f8d4c9926b69fa3fa1 | 2021-11-13 10:10:49-08:00 |
Prevent null pointer dereference in `mutable_graph_view`
PiperOrigin-RevId: 409684472
Change-Id: I577eb9d9ac470fcec0501423171e739a4ec0cb5c | 045deec1cbdebb27d817008ad5df94d96a08b1bf | tensorflow | cvefixes | 1 | https://github.com/tensorflow/tensorflow | https://github.com/tensorflow/tensorflow/commit/045deec1cbdebb27d817008ad5df94d96a08b1bf | 2021-11-13 10:16:06-08:00 |
[tf.data] Set limit on number of threads used in threadpool_dataset.
PiperOrigin-RevId: 410922677
Change-Id: Ib25814a99043ab10805b5d2d7088ae0e0b7b04fd | e3749a6d5d1e8d11806d4a2e9cc3123d1a90b75e | tensorflow | cvefixes | 1 | https://github.com/tensorflow/tensorflow | https://github.com/tensorflow/tensorflow/commit/e3749a6d5d1e8d11806d4a2e9cc3123d1a90b75e | 2021-11-18 16:14:53-08:00 |
Fix out of bound access in DequantizeOp by adding check for axis < input dimension
PiperOrigin-RevId: 411214268
Change-Id: I3249d2a69ddc82f182c589a3a5bbfb71543f4b29 | 23968a8bf65b009120c43b5ebcceaf52dbc9e943 | tensorflow | cvefixes | 1 | https://github.com/tensorflow/tensorflow | https://github.com/tensorflow/tensorflow/commit/23968a8bf65b009120c43b5ebcceaf52dbc9e943 | 2021-11-19 23:22:12-08:00 |
Internal change
PiperOrigin-RevId: 411896058
Change-Id: Ia031058247e3cf382957a6662d3f9e1cbb481ca2 | 3218043d6d3a019756607643cf65574fbfef5d7a | tensorflow | cvefixes | 1 | https://github.com/tensorflow/tensorflow | https://github.com/tensorflow/tensorflow/commit/3218043d6d3a019756607643cf65574fbfef5d7a | 2021-11-23 14:37:54-08:00 |
Fix out of bound error in ReverseSequence Op shape function
PiperOrigin-RevId: 411896080
Change-Id: I7e59a38e2f960886edf2b6c54ed5a84e86a9b193 | 37c01fb5e25c3d80213060460196406c43d31995 | tensorflow | cvefixes | 1 | https://github.com/tensorflow/tensorflow | https://github.com/tensorflow/tensorflow/commit/37c01fb5e25c3d80213060460196406c43d31995 | 2021-11-23 14:42:02-08:00 |
Fix Segfault in Concat V2 shape function.
PiperOrigin-RevId: 412120654
Change-Id: I3ff915faea694f9ad8b00024e9af2de9909011be | 08d7b00c0a5a20926363849f611729f53f3ec022 | tensorflow | cvefixes | 1 | https://github.com/tensorflow/tensorflow | https://github.com/tensorflow/tensorflow/commit/08d7b00c0a5a20926363849f611729f53f3ec022 | 2021-11-24 13:14:19-08:00 |
Fix Integer overflow error in Dequantize op shape function, by adding a bound check on axis.
PiperOrigin-RevId: 412121389
Change-Id: I3088dbad9e90f9998d406b618c16694388a9dfb4 | b64638ec5ccaa77b7c1eb90958e3d85ce381f91b | tensorflow | cvefixes | 1 | https://github.com/tensorflow/tensorflow | https://github.com/tensorflow/tensorflow/commit/b64638ec5ccaa77b7c1eb90958e3d85ce381f91b | 2021-11-24 13:25:41-08:00 |
Fix potential divide by zero error when executing FractionalMaxPool, when pooling ratio is higher than input size for a particular dimension.
PiperOrigin-RevId: 412151722
Change-Id: I06e57cbb8eca43816eff79eac264fa7aae8f7163 | ba4e8ac4dc2991e350d5cc407f8598c8d4ee70fb | tensorflow | cvefixes | 1 | https://github.com/tensorflow/tensorflow | https://github.com/tensorflow/tensorflow/commit/ba4e8ac4dc2991e350d5cc407f8598c8d4ee70fb | 2021-11-24 16:08:51-08:00 |
Fix integer overflow leading to divide by zero error in Unravel index kernel when dimensions product exceeds max int value.
PiperOrigin-RevId: 413250052
Change-Id: I9450b6e8acecd2e881a64b882e2b7c70e8e9289a | 58b34c6c8250983948b5a781b426f6aa01fd47af | tensorflow | cvefixes | 1 | https://github.com/tensorflow/tensorflow | https://github.com/tensorflow/tensorflow/commit/58b34c6c8250983948b5a781b426f6aa01fd47af | 2021-11-30 14:55:43-08:00 |
Add a check for pad width to be a positive value.
PiperOrigin-RevId: 413275853
Change-Id: I261a8db9dabf5ce48a806a9e58129080c9fac619 | f68fdab93fb7f4ddb4eb438c8fe052753c9413e8 | tensorflow | cvefixes | 1 | https://github.com/tensorflow/tensorflow | https://github.com/tensorflow/tensorflow/commit/f68fdab93fb7f4ddb4eb438c8fe052753c9413e8 | 2021-11-30 16:57:47-08:00 |
Add a check for Key being scalar tensor for MapStage and OrderedMapStage ops.
According to documentation[1][2], key must be int64 value, but this wasn't enforced and the ops would fail with check failure for non-scalar key value.
[1]https://www.tensorflow.org/api_docs/cc/class/tensorflow/ops/ordered-map-stage
[2]https://www.tensorflow.org/api_docs/cc/class/tensorflow/ops/map-stage
PiperOrigin-RevId: 413822112
Change-Id: I9d118faf990e6361900aa32272eff486ad9f0e2e | f57315566d7094f322b784947093406c2aea0d7d | tensorflow | cvefixes | 1 | https://github.com/tensorflow/tensorflow | https://github.com/tensorflow/tensorflow/commit/f57315566d7094f322b784947093406c2aea0d7d | 2021-12-02 19:02:16-08:00 |
Add negative bound check for row and column pooling_sequence in FractionalAvgPoolGrad op to avoid out of bound heap access
PiperOrigin-RevId: 413837346
Change-Id: I2b86034101df31bee161abcb781755e236c7bccd | 002408c3696b173863228223d535f9de72a101a9 | tensorflow | cvefixes | 1 | https://github.com/tensorflow/tensorflow | https://github.com/tensorflow/tensorflow/commit/002408c3696b173863228223d535f9de72a101a9 | 2021-12-02 21:02:49-08:00 |
Fix nullptr exception in QuantizedMaxPool op when empty list is sent to min_input or max_input parameters.
PiperOrigin-RevId: 413960973
Change-Id: I9e3ded593f3c4eabf0d6d5dc356e6a19a3ad2682 | 53b0dd6dc5957652f35964af16b892ec9af4a559 | tensorflow | cvefixes | 1 | https://github.com/tensorflow/tensorflow | https://github.com/tensorflow/tensorflow/commit/53b0dd6dc5957652f35964af16b892ec9af4a559 | 2021-12-03 10:12:34-08:00 |
Prevent stack overflow when FunctionLib in GraphDef has a self-recursive function.
It is likely that no recursivity is supported, but we should handle this separately.
PiperOrigin-RevId: 414860329
Change-Id: I02a2270e86282b37362ddd485eeef16fb986a9e0 | 448a16182065bd08a202d9057dd8ca541e67996c | tensorflow | cvefixes | 1 | https://github.com/tensorflow/tensorflow | https://github.com/tensorflow/tensorflow/commit/448a16182065bd08a202d9057dd8ca541e67996c | 2021-12-07 16:54:09-08:00 |
Cleanup and remove duplicate validation in `SparseCount`.
We have valdiation that is duplicated, checking different conditions, in different formats and failing to capture all cases. This should fix all the previous bugs.
PiperOrigin-RevId: 414886981
Change-Id: Ibf0bba0beb057b76d505324bb9487565daf95f01 | 2b7100d6cdff36aa21010a82269bc05a6d1cc74a | tensorflow | cvefixes | 1 | https://github.com/tensorflow/tensorflow | https://github.com/tensorflow/tensorflow/commit/2b7100d6cdff36aa21010a82269bc05a6d1cc74a | 2021-12-07 19:40:32-08:00 |
Further validate sparse tensor for `SparseCount`: indices must be valid within dense shape.
PiperOrigin-RevId: 414888122
Change-Id: I4552bd74c135ecd4bcb5448acc0a3ce9402d8286 | adbbabdb0d3abb3cdeac69e38a96de1d678b24b3 | tensorflow | cvefixes | 1 | https://github.com/tensorflow/tensorflow | https://github.com/tensorflow/tensorflow/commit/adbbabdb0d3abb3cdeac69e38a96de1d678b24b3 | 2021-12-07 19:49:35-08:00 |
Prevent crash due to integer overflow followed by allocating negative sized array.
PiperOrigin-RevId: 414891322
Change-Id: I5df390e0dc1d9f115209293708950cdf9306931c | 6f4d3e8139ec724dbbcb40505891c81dd1052c4a | tensorflow | cvefixes | 1 | https://github.com/tensorflow/tensorflow | https://github.com/tensorflow/tensorflow/commit/6f4d3e8139ec724dbbcb40505891c81dd1052c4a | 2021-12-07 20:09:14-08:00 |
Fix check-fail when bincount ops are passed invalid values.
PiperOrigin-RevId: 415063028
Change-Id: I20f8dc09933ddca1111c4efbf9a3a1e863215d02 | 7019ce4f68925fd01cdafde26f8d8c938f47e6f9 | tensorflow | cvefixes | 1 | https://github.com/tensorflow/tensorflow | https://github.com/tensorflow/tensorflow/commit/7019ce4f68925fd01cdafde26f8d8c938f47e6f9 | 2021-12-08 12:10:17-08:00 |
Add missing validation to `AddManySparseToTensorsMap`.
Sparse tensors have a set of requirements for the 3 components and not all of them were checked.
PiperOrigin-RevId: 415358027
Change-Id: I96cbb672999cd1da772c22fabbd15507e32e12dc | b51b82fe65ebace4475e3c54eb089c18a4403f1c | tensorflow | cvefixes | 1 | https://github.com/tensorflow/tensorflow | https://github.com/tensorflow/tensorflow/commit/b51b82fe65ebace4475e3c54eb089c18a4403f1c | 2021-12-09 14:41:08-08:00 |
Properly validate sparse tensor in `SparseTensorSliceDataset`
Existing validation was incomplete.
PiperOrigin-RevId: 415375048
Change-Id: I14cd18f29ede73286f3ffac35171bd15828997e9 | 965b97e4a9650495cda5a8c210ef6684b4b9eceb | tensorflow | cvefixes | 1 | https://github.com/tensorflow/tensorflow | https://github.com/tensorflow/tensorflow/commit/965b97e4a9650495cda5a8c210ef6684b4b9eceb | 2021-12-09 15:55:37-08:00 |
Replace faulty overflow check with a builder for `TensorShape`.
Prevents an integer overflow that was not caught before.
PiperOrigin-RevId: 415381595
Change-Id: I76585ddedc912bd9f4a390aeafa8e2ced1a28863 | a68f68061e263a88321c104a6c911fe5598050a8 | tensorflow | cvefixes | 1 | https://github.com/tensorflow/tensorflow | https://github.com/tensorflow/tensorflow/commit/a68f68061e263a88321c104a6c911fe5598050a8 | 2021-12-09 16:21:06-08:00 |
Add missing validation to sparse dense cwise ops.
PiperOrigin-RevId: 415543133
Change-Id: I5baf3284e919338afb96178c468ad3d3cb0d956c | 1b54cadd19391b60b6fcccd8d076426f7221d5e8 | tensorflow | cvefixes | 1 | https://github.com/tensorflow/tensorflow | https://github.com/tensorflow/tensorflow/commit/1b54cadd19391b60b6fcccd8d076426f7221d5e8 | 2021-12-10 09:51:09-08:00 |
Prevent overflow in sparse dense cwise ops.
PiperOrigin-RevId: 415543171
Change-Id: I22dab7c41be2121ab5efe5403ca0e2f9b7cb24b8 | e952a89b7026b98fe8cbe626514a93ed68b7c510 | tensorflow | cvefixes | 1 | https://github.com/tensorflow/tensorflow | https://github.com/tensorflow/tensorflow/commit/e952a89b7026b98fe8cbe626514a93ed68b7c510 | 2021-12-10 10:05:21-08:00 |
[lite] Add check for bias_size is zero to avoid division by zero. This shouldn't happen for properly converted models. Just safety check
PiperOrigin-RevId: 416383645
Change-Id: If8e508bf696ae8ecfb927e69c139a8ccf7fe60cb | 8c6f391a2282684a25cbfec7687bd5d35261a209 | tensorflow | cvefixes | 1 | https://github.com/tensorflow/tensorflow | https://github.com/tensorflow/tensorflow/commit/8c6f391a2282684a25cbfec7687bd5d35261a209 | 2021-12-14 13:45:48-08:00 |
[lite] Add validation check for dilation height/width to be positive integers.
PiperOrigin-RevId: 416429178
Change-Id: If7cdcddca54486434d9b2f06e7e2b401d7c3ee25 | e5b0eec199c2d03de54fd6a7fd9275692218e2bc | tensorflow | cvefixes | 1 | https://github.com/tensorflow/tensorflow | https://github.com/tensorflow/tensorflow/commit/e5b0eec199c2d03de54fd6a7fd9275692218e2bc | 2021-12-14 17:13:47-08:00 |
[lite] Update TfLiteIntArrayCreate to return size_t
PiperOrigin-RevId: 416439896
Change-Id: I847f69b68d1ddaff4b1e925a09b8b69c1756653b | a1e1511dde36b3f8aa27a6ec630838e7ea40e091 | tensorflow | cvefixes | 1 | https://github.com/tensorflow/tensorflow | https://github.com/tensorflow/tensorflow/commit/a1e1511dde36b3f8aa27a6ec630838e7ea40e091 | 2021-12-14 18:14:24-08:00 |
[lite] Move MultiplyAndCheckOverflow to util to be able to share it.
PiperOrigin-RevId: 416897229
Change-Id: I5feb44881bdcbb6ed911da4f17c55bb978754059 | f19be71717c497723ba0cea0379e84f061a75e01 | tensorflow | cvefixes | 1 | https://github.com/tensorflow/tensorflow | https://github.com/tensorflow/tensorflow/commit/f19be71717c497723ba0cea0379e84f061a75e01 | 2021-12-16 14:37:01-08:00 |
[lite] Add some safety checks to avoid out of bound access for sparsity format
PiperOrigin-RevId: 416910386
Change-Id: Ic0b4dc048dc4b5a6309c572b8c4c9f776e4db60a | 6364463d6f5b6254cac3d6aedf999b6a96225038 | tensorflow | cvefixes | 1 | https://github.com/tensorflow/tensorflow | https://github.com/tensorflow/tensorflow/commit/6364463d6f5b6254cac3d6aedf999b6a96225038 | 2021-12-16 15:46:23-08:00 |
Avoid Segfault for scalar shapes.
Calling tensor::FromElementsOp with an empty vector of elements and no type
causes a segfault. We need to let the FromElementsOp know which scalar type it
should have.
Also add back the DynamicBroadcastInDimOp canonicalization patterns, which
previously prevented this bug from happening.
Add a regression test that demonstrates the bug.
PiperOrigin-RevId: 417561444
Change-Id: I6d1d6cfb71aabbad6102422625a00bbe253ac95a | 35f0fabb4c178253a964d7aabdbb15c6a398b69a | tensorflow | cvefixes | 1 | https://github.com/tensorflow/tensorflow | https://github.com/tensorflow/tensorflow/commit/35f0fabb4c178253a964d7aabdbb15c6a398b69a | 2021-12-21 01:12:06-08:00 |
[lite] Check for overflow when creating required bytes.
PiperOrigin-RevId: 417629001
Change-Id: Ia7feb3ea8e988f4fd4b3c98c1a1fed4557d99fd7 | 1de49725a5fc4e48f1a3b902ec3599ee99283043 | tensorflow | cvefixes | 1 | https://github.com/tensorflow/tensorflow | https://github.com/tensorflow/tensorflow/commit/1de49725a5fc4e48f1a3b902ec3599ee99283043 | 2021-12-21 08:52:29-08:00 |
[lite] add validation check for sparse fully connected
PiperOrigin-RevId: 417629354
Change-Id: If96171c4bd4f5fdb01d6368d6deab19d1c9beca7 | 6c0b2b70eeee588591680f5b7d5d38175fd7cdf6 | tensorflow | cvefixes | 1 | https://github.com/tensorflow/tensorflow | https://github.com/tensorflow/tensorflow/commit/6c0b2b70eeee588591680f5b7d5d38175fd7cdf6 | 2021-12-21 09:02:48-08:00 |
Prevent segfault in `embedding_lookup_sparse.cc`
Previous fixes missed one additional case.
PiperOrigin-RevId: 417676944
Change-Id: I8ab412155cf9b1e897448a6611d209eaa7ca9e66 | a4e401da71458d253b05e41f28637b65baf64be4 | tensorflow | cvefixes | 1 | https://github.com/tensorflow/tensorflow | https://github.com/tensorflow/tensorflow/commit/a4e401da71458d253b05e41f28637b65baf64be4 | 2021-12-21 13:11:50-08:00 |
Fix Null-pointer dereference in BuildXlaCompilationCache
If ConfigProto is not used, then use the default settings which is to allow all devices.
PiperOrigin-RevId: 420391800
Change-Id: I88161ad7042990aef678e77b597a2fb2c8f815be | e21af685e1828f7ca65038307df5cc06de4479e8 | tensorflow | cvefixes | 1 | https://github.com/tensorflow/tensorflow | https://github.com/tensorflow/tensorflow/commit/e21af685e1828f7ca65038307df5cc06de4479e8 | 2022-01-07 16:25:21-08:00 |
Improve to cover scale value greater than one
PiperOrigin-RevId: 433050921 | a989426ee1346693cc015792f11d715f6944f2b8 | tensorflow | cvefixes | 1 | https://github.com/tensorflow/tensorflow | https://github.com/tensorflow/tensorflow/commit/a989426ee1346693cc015792f11d715f6944f2b8 | 2022-03-07 15:35:57-08:00 |
Validate `num_segments > 0` in `unsorted_segment_join`
Fixes #55305
PiperOrigin-RevId: 442047005 | 84563f265f28b3c36a15335c8b005d405260e943 | tensorflow | cvefixes | 1 | https://github.com/tensorflow/tensorflow | https://github.com/tensorflow/tensorflow/commit/84563f265f28b3c36a15335c8b005d405260e943 | 2022-04-15 10:37:43-07:00 |
Prevent crash when histogram is called with NaN values.
Fixes #45770
PiperOrigin-RevId: 443149951 | e57fd691c7b0fd00ea3bfe43444f30c1969748b5 | tensorflow | cvefixes | 1 | https://github.com/tensorflow/tensorflow | https://github.com/tensorflow/tensorflow/commit/e57fd691c7b0fd00ea3bfe43444f30c1969748b5 | 2022-04-20 11:40:43-07:00 |
Allow 0 for number of segments in `unsorted_segment_join_op.cc`
Related to the fix for #55305
PiperOrigin-RevId: 443157549 | 20cb18724b0bf6c09071a3f53434c4eec53cc147 | tensorflow | cvefixes | 1 | https://github.com/tensorflow/tensorflow | https://github.com/tensorflow/tensorflow/commit/20cb18724b0bf6c09071a3f53434c4eec53cc147 | 2022-04-20 12:08:41-07:00 |
Fix tf.compat.v1.placeholder_with_default vulnerability with quantized types.
When iterating through the tensor to extract shape values, an underlying missing kernel
(`StridedSlice` for quantized types) causes an error, which then results in a `nullptr`
being passed to `ParseDimensionValue()`, causing a segfault.
The `nullptr` check allows the missing kernel error to propagate.
Adding the missing kernel registrations allows the shape values
to be extracted successfully.
PiperOrigin-RevId: 445045957 | 237822b59fc504dda2c564787f5d3ad9c4aa62d9 | tensorflow | cvefixes | 1 | https://github.com/tensorflow/tensorflow | https://github.com/tensorflow/tensorflow/commit/237822b59fc504dda2c564787f5d3ad9c4aa62d9 | 2022-04-27 20:55:48-07:00 |
Fix tf.raw_ops.TensorSummaryV2 vulnerability with invalid serialized_summary_metadata.
Check that input is actually a scalar before treating it as such.
PiperOrigin-RevId: 445197183 | 290bb05c80c327ed74fae1d089f1001b1e2a4ef7 | tensorflow | cvefixes | 1 | https://github.com/tensorflow/tensorflow | https://github.com/tensorflow/tensorflow/commit/290bb05c80c327ed74fae1d089f1001b1e2a4ef7 | 2022-04-28 11:05:57-07:00 |
Fix tf.raw_ops.QuantizeAndDequantizeV4Grad vulnerability with invalid input_min or input_max.
Check that argument is actually a scalar before treating it as such.
PiperOrigin-RevId: 445198280 | 098e7762d909bac47ce1dbabe6dfd06294cb9d58 | tensorflow | cvefixes | 1 | https://github.com/tensorflow/tensorflow | https://github.com/tensorflow/tensorflow/commit/098e7762d909bac47ce1dbabe6dfd06294cb9d58 | 2022-04-28 11:18:27-07:00 |
Fix tf.raw_ops.UnsortedSegmentJoin vulnerability with invalid num_segments.
Check that input is actually a scalar before treating it as such.
PiperOrigin-RevId: 445206880 | 13d38a07ce9143e044aa737cfd7bb759d0e9b400 | tensorflow | cvefixes | 1 | https://github.com/tensorflow/tensorflow | https://github.com/tensorflow/tensorflow/commit/13d38a07ce9143e044aa737cfd7bb759d0e9b400 | 2022-04-28 11:51:59-07:00 |
Fix tf.raw_ops.GetSessionTensor vulnerability with invalid handle.
Check that input is actually a scalar before treating it as such.
PiperOrigin-RevId: 445218701 | 48305e8ffe5246d67570b64096a96f8e315a7281 | tensorflow | cvefixes | 1 | https://github.com/tensorflow/tensorflow | https://github.com/tensorflow/tensorflow/commit/48305e8ffe5246d67570b64096a96f8e315a7281 | 2022-04-28 12:29:12-07:00 |
Fix tf.raw_ops.DeleteSessionTensor vulnerability with invalid `handle`.
Check that `handle` input is actually a scalar before treating it as such.
PiperOrigin-RevId: 445228994 | cff267650c6a1b266e4b4500f69fbc49cdd773c5 | tensorflow | cvefixes | 1 | https://github.com/tensorflow/tensorflow | https://github.com/tensorflow/tensorflow/commit/cff267650c6a1b266e4b4500f69fbc49cdd773c5 | 2022-04-28 13:12:18-07:00 |
Fix tf.raw_ops.EditDistance vulnerability with negative indices.
Check that indices are non-negative. Fix several identical code sites.
Clean up grammar in error message.
PiperOrigin-RevId: 445442017 | 30721cf564cb029d34535446d6a5a6357bebc8e7 | tensorflow | cvefixes | 1 | https://github.com/tensorflow/tensorflow | https://github.com/tensorflow/tensorflow/commit/30721cf564cb029d34535446d6a5a6357bebc8e7 | 2022-04-29 09:51:06-07:00 |
Fix failed check in Conv3DBackpropFilterV2.
Passing in a rank-0 `filter_size` causes a check fail and crash,
coming from a `filter_size.vec<>()` call. Here we check the size
first.
PiperOrigin-RevId: 445517122 | 174c5096f303d5be7ed2ca2662b08371bff4ab88 | tensorflow | cvefixes | 1 | https://github.com/tensorflow/tensorflow | https://github.com/tensorflow/tensorflow/commit/174c5096f303d5be7ed2ca2662b08371bff4ab88 | 2022-04-29 15:20:38-07:00 |
Fix undefined behavior in QuantizedConv2D
Added more input validation and tests. Prior to this, we could get
`nullptr` exceptions when attempting to access 0th elements of 0-sized
inputs, leading to security vulnerability bugs.
Also needed to modify `quantized_conv_ops_test.cc` for consistency.
Previously the CPU kernel did technically support passing tensors
of rank larger than 0 for min/max values. However, the XLA kernels do not.
PiperOrigin-RevId: 445518507 | 0f0b080ecde4d3dfec158d6f60da34d5e31693c4 | tensorflow | cvefixes | 1 | https://github.com/tensorflow/tensorflow | https://github.com/tensorflow/tensorflow/commit/0f0b080ecde4d3dfec158d6f60da34d5e31693c4 | 2022-04-29 15:32:23-07:00 |
Fix tf.raw_ops.LoadAndRemapMatrix vulnerability with invalid `row_remapping`.
Check that `row_remapping` has the correct dims().
PiperOrigin-RevId: 445522800 | 3150642acbbe254e3c3c5d2232143fa591855ac9 | tensorflow | cvefixes | 1 | https://github.com/tensorflow/tensorflow | https://github.com/tensorflow/tensorflow/commit/3150642acbbe254e3c3c5d2232143fa591855ac9 | 2022-04-29 15:46:05-07:00 |
Fix tf.raw_ops.StagePeek vulnerability with invalid `index`.
Check that input is actually a scalar before treating it as such.
PiperOrigin-RevId: 445524908 | cebe3c45d76357d201c65bdbbf0dbe6e8a63bbdb | tensorflow | cvefixes | 1 | https://github.com/tensorflow/tensorflow | https://github.com/tensorflow/tensorflow/commit/cebe3c45d76357d201c65bdbbf0dbe6e8a63bbdb | 2022-04-29 15:59:39-07:00 |
Fix security vulnerability with SpaceToBatchNDOp.
PiperOrigin-RevId: 445527615 | acd56b8bcb72b163c834ae4f18469047b001fadf | tensorflow | cvefixes | 1 | https://github.com/tensorflow/tensorflow | https://github.com/tensorflow/tensorflow/commit/acd56b8bcb72b163c834ae4f18469047b001fadf | 2022-04-29 16:14:54-07:00 |
Fix empty resource handle vulnerability.
Some ops that attempt to extract a resource handle from user input
can lead to nullptr dereferences. This returns an error in such
a case.
PiperOrigin-RevId: 445571938 | a5b89cd68c02329d793356bda85d079e9e69b4e7 | tensorflow | cvefixes | 1 | https://github.com/tensorflow/tensorflow | https://github.com/tensorflow/tensorflow/commit/a5b89cd68c02329d793356bda85d079e9e69b4e7 | 2022-04-29 21:10:29-07:00 |
Fix security vulnerability with LSTMBlockCellOp
PiperOrigin-RevId: 446028341 | 803404044ae7a1efac48ba82d74111fce1ddb09a | tensorflow | cvefixes | 1 | https://github.com/tensorflow/tensorflow | https://github.com/tensorflow/tensorflow/commit/803404044ae7a1efac48ba82d74111fce1ddb09a | 2022-05-02 14:28:15-07:00 |
Fix failed check in SparseTensorToCSRSparseMatrix
Security vulnerability fix. A `CHECK` fails if inputing either an empty `dense_shape`,
or a non-rank-2 `indices`. Added appropriate checks and tests.
PiperOrigin-RevId: 446053984 | ea50a40e84f6bff15a0912728e35b657548cef11 | tensorflow | cvefixes | 1 | https://github.com/tensorflow/tensorflow | https://github.com/tensorflow/tensorflow/commit/ea50a40e84f6bff15a0912728e35b657548cef11 | 2022-05-02 16:16:54-07:00 |
Fix UB in SparseTensorDenseAdd
Added more input validation to avoid nullptr dereferencing and array index
out of bounds issues.
PiperOrigin-RevId: 446192704 | 11ced8467eccad9c7cb94867708be8fa5c66c730 | tensorflow | cvefixes | 1 | https://github.com/tensorflow/tensorflow | https://github.com/tensorflow/tensorflow/commit/11ced8467eccad9c7cb94867708be8fa5c66c730 | 2022-05-03 07:54:57-07:00 |
Fix TensorKey hash function.
The original hash function only used total estimated `AllocatedBytes()`, which (a) is an estimate per tensor, and (b) is a very poor hash function for constants (e.g. `int32_t`).
It also tried to access individual tensor bytes through `tensor.data()` of size `AllocatedBytes()`. This led to ASAN failures because the `AllocatedBytes()` is an estimate of total bytes allocated by a tensor, including any pointed-to constructs (e.g. strings), and does not refer to contiguous bytes in the `.data()` buffer. We couldn't use this byte vector anyways, since types like `tstring` include pointers, whereas we need to hash the string values themselves.
Modified the hash function to more closely mirror the `==` operator. This correctly handles `tstring` and any numeric types that do have contiguous storage. Other types are currently left as unimplemented.
PiperOrigin-RevId: 446265413 | 1b85a28d395dc91f4d22b5f9e1e9a22e92ccecd6 | tensorflow | cvefixes | 1 | https://github.com/tensorflow/tensorflow | https://github.com/tensorflow/tensorflow/commit/1b85a28d395dc91f4d22b5f9e1e9a22e92ccecd6 | 2022-05-03 12:51:58-07:00 |
Fix heap buffer overflow in UnsortedSegmentSum.
When Index=int32, data_size and num_segments were truncated from int64 to int32. This truncation can produce negative numbers, which causes UnsortedSegmentFunctor to access out of bounds memory.
Also:
- Switches some indexing calculations to int64 to avoid signed integer overflow when either the input or output tensors have more than 2**31 - 1 elements.
- Fixes a range check error in the GPU kernel. The segment ID was checked against an upper bound measured in elements, not segments.
PiperOrigin-RevId: 256451663 | db4f9717c41bccc3ce10099ab61996b246099892 | tensorflow | cvefixes | 1 | https://github.com/tensorflow/tensorflow | https://github.com/tensorflow/tensorflow/commit/db4f9717c41bccc3ce10099ab61996b246099892 | 2019-07-03 18:10:21-07:00 |
[tflite] Validate segment ids for segment_sum.
Segment identifiers in segment_sum should be in a 1-D tensor of same size as the first dimension of the input. The values of the tensor should be integers from {0, 1, 2, ... k-1}, where k is the first dimension of the input. The segment identifiers must not contain jumps and must be increasing.
See https://www.tensorflow.org/api_docs/python/tf/math#Segmentation as the source for these constraints.
PiperOrigin-RevId: 332510942
Change-Id: I898beaba00642c918bcd4b4d4ce893ebb190d869 | 204945b19e44b57906c9344c0d00120eeeae178a | tensorflow | cvefixes | 1 | https://github.com/tensorflow/tensorflow | https://github.com/tensorflow/tensorflow/commit/204945b19e44b57906c9344c0d00120eeeae178a | 2020-09-18 13:17:42-07:00 |
[tflite] Test for `kTfLiteOptionalTensor` in `GetInput`.
`GetInput`, `GetVariableInput` and `GetOutput` all fail to check for the case where `node->inputs->data[index]` is the special `kTfLiteOptionalTensor` value (-1) which then causes `context->tensors[node->inputs->data[index]]` to read from invalid memory location.
This fix makes `GetInput` and related return `nullptr` in those cases, asking the caller to check for `nullptr`. This is better than having `GetOptionalInputTensor` and `GetOptionalOutputTensor` (does not exist but could be added) as using the patched `GetInput` in error would be caught by a sanitizer test in the default optimized build (due to the `-fsanitize=null` option).
PiperOrigin-RevId: 332512190
Change-Id: Iabca54da2f2de02b6ece3c38b54f76d4277d689e | 46d5b0852528ddfd614ded79bccc75589f801bd9 | tensorflow | cvefixes | 1 | https://github.com/tensorflow/tensorflow | https://github.com/tensorflow/tensorflow/commit/46d5b0852528ddfd614ded79bccc75589f801bd9 | 2020-09-18 13:21:55-07:00 |
[tflite] Make `GetOptionalInputTensor` the same as `GetInput`.
With the previous change, there is no more need for two separate APIs. We would deprecate `GetOptionalInputTensor` in the future.
PiperOrigin-RevId: 332513386
Change-Id: Id7110271c25ebd6126ad8c82a493e37e0e0756b3 | 00302787b788c5ff04cb6f62aed5a74d936e86c0 | tensorflow | cvefixes | 1 | https://github.com/tensorflow/tensorflow | https://github.com/tensorflow/tensorflow/commit/00302787b788c5ff04cb6f62aed5a74d936e86c0 | 2020-09-18 13:32:01-07:00 |
[tflite]: Insert `nullptr` checks when obtaining tensors.
As part of ongoing refactoring, `tflite::GetInput`, `tflite::GetOutput`, `tflite::GetTemporary` and `tflite::GetIntermediates` will return `nullptr` in some cases. Hence, we insert the `nullptr` checks on all usages.
We also insert `nullptr` checks on usages of `tflite::GetVariableInput` and `tflite::GetOptionalInputTensor` but only in the cases where there is no obvious check that `nullptr` is acceptable (that is, we only insert the check for the output of these two functions if the tensor is accessed as if it is always not `nullptr`).
PiperOrigin-RevId: 332517854
Change-Id: Ic27221dd1f0fbe302f311c2fe5a846ed8ff02016 | e11f55585f614645b360563072ffeb5c3eeff162 | tensorflow | cvefixes | 1 | https://github.com/tensorflow/tensorflow | https://github.com/tensorflow/tensorflow/commit/e11f55585f614645b360563072ffeb5c3eeff162 | 2020-09-18 13:53:51-07:00 |
[tflite]: Insert `nullptr` checks when obtaining tensors.
As part of ongoing refactoring, `tflite::GetInput`, `tflite::GetOutput`, `tflite::GetTemporary` and `tflite::GetIntermediates` will return `nullptr` in some cases. Hence, we insert the `nullptr` checks on all usages.
We also insert `nullptr` checks on usages of `tflite::GetVariableInput` and `tflite::GetOptionalInputTensor` but only in the cases where there is no obvious check that `nullptr` is acceptable (that is, we only insert the check for the output of these two functions if the tensor is accessed as if it is always not `nullptr`).
PiperOrigin-RevId: 332518902
Change-Id: I92eb164a6101ac3cca66090061a9b56a97288236 | cd31fd0ce0449a9e0f83dcad08d6ed7f1d6bef3f | tensorflow | cvefixes | 1 | https://github.com/tensorflow/tensorflow | https://github.com/tensorflow/tensorflow/commit/cd31fd0ce0449a9e0f83dcad08d6ed7f1d6bef3f | 2020-09-18 14:01:54-07:00 |
[tflite]: Insert `nullptr` checks when obtaining tensors.
As part of ongoing refactoring, `tflite::GetInput`, `tflite::GetOutput`, `tflite::GetTemporary` and `tflite::GetIntermediates` will return `nullptr` in some cases. Hence, we insert the `nullptr` checks on all usages.
We also insert `nullptr` checks on usages of `tflite::GetVariableInput` and `tflite::GetOptionalInputTensor` but only in the cases where there is no obvious check that `nullptr` is acceptable (that is, we only insert the check for the output of these two functions if the tensor is accessed as if it is always not `nullptr`).
PiperOrigin-RevId: 332520146
Change-Id: I405d986cfc653aaafcfdf4162c0acbd46220b921 | fff2c8326280c07733828f990548979bdc893859 | tensorflow | cvefixes | 1 | https://github.com/tensorflow/tensorflow | https://github.com/tensorflow/tensorflow/commit/fff2c8326280c07733828f990548979bdc893859 | 2020-09-18 14:10:11-07:00 |
[tflite]: Insert `nullptr` checks when obtaining tensors.
As part of ongoing refactoring, `tflite::GetInput`, `tflite::GetOutput`, `tflite::GetTemporary` and `tflite::GetIntermediates` will return `nullptr` in some cases. Hence, we insert the `nullptr` checks on all usages.
We also insert `nullptr` checks on usages of `tflite::GetVariableInput` and `tflite::GetOptionalInputTensor` but only in the cases where there is no obvious check that `nullptr` is acceptable (that is, we only insert the check for the output of these two functions if the tensor is accessed as if it is always not `nullptr`).
PiperOrigin-RevId: 332521299
Change-Id: I29af455bcb48d0b92e58132d951a3badbd772d56 | 1970c2158b1ffa416d159d03c3370b9a462aee35 | tensorflow | cvefixes | 1 | https://github.com/tensorflow/tensorflow | https://github.com/tensorflow/tensorflow/commit/1970c2158b1ffa416d159d03c3370b9a462aee35 | 2020-09-18 14:13:50-07:00 |
[tflite] Ensure inputs and outputs don't overlap.
If a model uses the same tensor for both an input and an output then this can result in data loss and memory corruption. This should not happen.
PiperOrigin-RevId: 332522916
Change-Id: If0905b142415a9dfceaf2d181872f2a8fb88f48a | d58c96946b2880991d63d1dacacb32f0a4dfa453 | tensorflow | cvefixes | 1 | https://github.com/tensorflow/tensorflow | https://github.com/tensorflow/tensorflow/commit/d58c96946b2880991d63d1dacacb32f0a4dfa453 | 2020-09-18 14:21:55-07:00 |
[tflite] Ensure input tensors don't have `nullptr` buffers.
A crafted TFLite model can force a node to have as input a tensor backed by a `nullptr` buffer. That is, by carefully changing the buffer index in the flatbuffer serialization, we can force the TFLite interpreter to consider a read-only tensor to be a read-write one and assume that there is an operator that has this tensor as output, writing to it and allocating memory before the tensor is used as input. If this does not happen, we get memory corruption.
PiperOrigin-RevId: 332524692
Change-Id: I57ef175152a29020af9ab041dc959e5631dce40f | 0b5662bc2be13a8c8f044d925d87fb6e56247cd8 | tensorflow | cvefixes | 1 | https://github.com/tensorflow/tensorflow | https://github.com/tensorflow/tensorflow/commit/0b5662bc2be13a8c8f044d925d87fb6e56247cd8 | 2020-09-18 14:34:47-07:00 |
[tflite] Ensure `ResolveAxis` properly handles negative inputs.
In Python, a list `l` of length `n` allows indexing with negative indices, `l[i]`. The only constraint is that `n + i` becomes positive. Code in `ResolveAxis` assumes the constraints and only checks it using a `DCHECK`. But the macro is a no-op in non-debug builds and that can result in reading from negative offsets (buffer underflows).
PiperOrigin-RevId: 332530683
Change-Id: I464e073fee618054ae3719a3679739007bb3f3bc | 2d88f470dea2671b430884260f3626b1fe99830a | tensorflow | cvefixes | 1 | https://github.com/tensorflow/tensorflow | https://github.com/tensorflow/tensorflow/commit/2d88f470dea2671b430884260f3626b1fe99830a | 2020-09-18 14:57:58-07:00 |
Validate `NodeDef`s from `FunctionDefLibrary` of a `GraphDef`.
We already validated `NodeDef`s from a `GraphDef` but missed validating those from the `FunctionDefLibrary`. Thus, some maliciously crafted models could evade detection and cause denial of service due to a `CHECK`-fail.
PiperOrigin-RevId: 332536309
Change-Id: I052efe919ff1fe2f90815e286a1aa4c54c7b94ff | adf095206f25471e864a8e63a0f1caef53a0e3a6 | tensorflow | cvefixes | 1 | https://github.com/tensorflow/tensorflow | https://github.com/tensorflow/tensorflow/commit/adf095206f25471e864a8e63a0f1caef53a0e3a6 | 2020-09-18 15:17:30-07:00 |
Validate `data_splits` for `tf.StringNGrams`.
Without validation, we can cause a heap buffer overflow which results in data leakage and/or segfaults.
PiperOrigin-RevId: 332543478
Change-Id: Iee5bda24497a195d09d122355502480830b1b317 | 0462de5b544ed4731aa2fb23946ac22c01856b80 | tensorflow | cvefixes | 1 | https://github.com/tensorflow/tensorflow | https://github.com/tensorflow/tensorflow/commit/0462de5b544ed4731aa2fb23946ac22c01856b80 | 2020-09-18 16:00:29-07:00 |
Prevent segfault in `GetSessionHandle{,V2}`.
In eager mode, session state is null.
PiperOrigin-RevId: 332548597
Change-Id: If094812c2e094044220b9ba28f7d7601be042f38 | 9a133d73ae4b4664d22bd1aa6d654fec13c52ee1 | tensorflow | cvefixes | 1 | https://github.com/tensorflow/tensorflow | https://github.com/tensorflow/tensorflow/commit/9a133d73ae4b4664d22bd1aa6d654fec13c52ee1 | 2020-09-18 16:30:02-07:00 |
Prevent format string vulnerability in `tf.strings.as_string`.
The `printf` format specifier only allows `#`, `0`, `-`, `+` and space as flag characters. Others are interpreted as width/precision/length modifier or conversion specifiers. If a character does not fit into any of these sets `printf` just displays it.
Also add a test suite for `tf.strings.as_string`. Also fix the issue where the flag character was used only if width was specified.
PiperOrigin-RevId: 332553548
Change-Id: Ie57cf2a7c14d1a36097642794c14329db669bbba | 33be22c65d86256e6826666662e40dbdfe70ee83 | tensorflow | cvefixes | 1 | https://github.com/tensorflow/tensorflow | https://github.com/tensorflow/tensorflow/commit/33be22c65d86256e6826666662e40dbdfe70ee83 | 2020-09-18 16:59:09-07:00 |
Prevent `int64` to `int` truncation in `Shard` API usage.
The function argument in `Shard` must be a function of two `int64` arguments. However, we are passing in a function with two `int` arguments. Thus, for large workloads, these arguments get truncated from positive `int64` values to negative `int` ones, resulting in a buffer out of bounds write.
PiperOrigin-RevId: 332557334
Change-Id: I236c9a2e7f53580e520571da8ba941a3aa9fa0b5 | 27b417360cbd671ef55915e4bb6bb06af8b8a832 | tensorflow | cvefixes | 1 | https://github.com/tensorflow/tensorflow | https://github.com/tensorflow/tensorflow/commit/27b417360cbd671ef55915e4bb6bb06af8b8a832 | 2020-09-18 17:34:10-07:00 |
Prevent integer truncation from 64 to 32 bits.
The `tensorflow::Shard` functions last argument must be a 2 argument function where both arguments are `int64` (`long long`, 64 bits). However, there are usages where code passes in a function where arguments are `int` or `int32` (32 bits). In these cases, it is possible that the integer truncation would later cause a segfault or other unexpected behavior.
PiperOrigin-RevId: 332560414
Change-Id: Ief649406babc8d4f60b3e7a9d573cbcc5ce5b767 | ca8c013b5e97b1373b3bb1c97ea655e69f31a575 | tensorflow | cvefixes | 1 | https://github.com/tensorflow/tensorflow | https://github.com/tensorflow/tensorflow/commit/ca8c013b5e97b1373b3bb1c97ea655e69f31a575 | 2020-09-18 17:56:30-07:00 |
Fix multiple vulnerabilities in `tf.raw_ops.*CountSparseOutput`.
Also add tests for these API points, both for the happy paths and for the vulnerable ones.
PiperOrigin-RevId: 332563222
Change-Id: Ib3b52116a83a134c2e742a7c66e5e956db8fba05 | 3cbb917b4714766030b28eba9fb41bb97ce9ee02 | tensorflow | cvefixes | 1 | https://github.com/tensorflow/tensorflow | https://github.com/tensorflow/tensorflow/commit/3cbb917b4714766030b28eba9fb41bb97ce9ee02 | 2020-09-18 18:20:14-07:00 |
Fix heap buffer overflow in `tf.raw_ops.SparseFillEmptyRowsGrad`.
Also add tests as they were lacking
PiperOrigin-RevId: 332566071
Change-Id: I44277578e26ff5fb3fdb0dcbba6e91b2ec3e7859 | 390611e0d45c5793c7066110af37c8514e6a6c54 | tensorflow | cvefixes | 1 | https://github.com/tensorflow/tensorflow | https://github.com/tensorflow/tensorflow/commit/390611e0d45c5793c7066110af37c8514e6a6c54 | 2020-09-18 18:53:02-07:00 |
Fix multiple vulnerabilities in `tf.experimental.dlpack.to_dlpack`.
We have a use after free caused by memory coruption, a segmentation fault caused by memory corruption, several memory leaks and an undefined behavior when taking the reference of a nullptr.
PiperOrigin-RevId: 332568894
Change-Id: Ife0fc05e103b35325094ae5d822ee5fdea764572 | 22e07fb204386768e5bcbea563641ea11f96ceb8 | tensorflow | cvefixes | 1 | https://github.com/tensorflow/tensorflow | https://github.com/tensorflow/tensorflow/commit/22e07fb204386768e5bcbea563641ea11f96ceb8 | 2020-09-18 19:19:43-07:00 |
Fix undefined behavior in `tf.raw_ops.Switch` in eager mode.
PiperOrigin-RevId: 332578058
Change-Id: I9727571d2f21476b10d8aa27c1b7176564b76ac9 | da8558533d925694483d2c136a9220d6d49d843c | tensorflow | cvefixes | 1 | https://github.com/tensorflow/tensorflow | https://github.com/tensorflow/tensorflow/commit/da8558533d925694483d2c136a9220d6d49d843c | 2020-09-18 21:20:16-07:00 |
Prevent segfault in `quantize_and_dequantize`
Fixes #42105.
If `tf.quantization.quantize_and_dequantize` is called with `axis` argument pointing to outside of the input tensor, we obtain a `CHECK` fail which then aborts the application/interpreter. This change adds a condition check and returns a `Status` instead of crashing.
PiperOrigin-RevId: 337972243
Change-Id: I71ec32c00a87266e364fb017f0ad5dfd3e23542f | eccb7ec454e6617738554a255d77f08e60ee0808 | tensorflow | cvefixes | 1 | https://github.com/tensorflow/tensorflow | https://github.com/tensorflow/tensorflow/commit/eccb7ec454e6617738554a255d77f08e60ee0808 | 2020-10-19 18:03:39-07:00 |
Default initialize fixed point Eigen types.
In certain cases, tensors are filled with default values of the type. But, for these fixed point types, these values were uninitialized. Thus, we would have uninitialized memory access bugs, some of which were caught by MSAN.
PiperOrigin-RevId: 344101137
Change-Id: I14555fda74dca3b5f1582da9008901937e3f14e2 | ace0c15a22f7f054abcc1f53eabbcb0a1239a9e2 | tensorflow | cvefixes | 1 | https://github.com/tensorflow/tensorflow | https://github.com/tensorflow/tensorflow/commit/ace0c15a22f7f054abcc1f53eabbcb0a1239a9e2 | 2020-11-24 11:48:54-08:00 |
Mark `MemmappedTensorAllocator` as returning opaque handle.
This allocator is used for `ImmutableConstantOp` and it returns a handle to the contents of a memory mapped file which is supposed to represent a tensor.
For tensors of complex types (resources, variables and strings), allocators which are not marked as returning opaque handles will call placement new to initialize each element. This means writing to the buffer. However, in our case, the buffer is immutable and already contains the tensor data. Hence, writing to it is both destructive and causes a crash.
PiperOrigin-RevId: 345786451
Change-Id: I46369c50fa60b3431709ffe068a728d3061f49c4 | c1e1fc899ad5f8c725dcbb6470069890b5060bc7 | tensorflow | cvefixes | 1 | https://github.com/tensorflow/tensorflow | https://github.com/tensorflow/tensorflow/commit/c1e1fc899ad5f8c725dcbb6470069890b5060bc7 | 2020-12-04 17:12:18-08:00 |
Validate that `DataFormat*` attributes form a permutation.
The `src_format` and `dst_format` attributes for the `DataFormatDimMap` and `DataFormatVecPermute` raw ops are supposed to determine a permutation. However, this was not validated and could result in unitialized memory accesses as well as writes outside of bounds and potential crashes.
While here, we also test that the format attributes have the needed length, add tests for all validation failure cases, remove unnecessary calls to `strings::StrCat`, and fix a few grammar errors.
This will be cherry-picked on the supported release branches.
PiperOrigin-RevId: 346135579
Change-Id: I1c76392382c89ad8f072d5bc93d70669851eb404 | ebc70b7a592420d3d2f359e4b1694c236b82c7ae | tensorflow | cvefixes | 1 | https://github.com/tensorflow/tensorflow | https://github.com/tensorflow/tensorflow/commit/ebc70b7a592420d3d2f359e4b1694c236b82c7ae | 2020-12-07 11:25:52-08:00 |
Completely rewrite `GetMatchingPaths`.
The current parallel implementation is too complex (lambda inside lambda, two levels of parallelism) and has a read outside of bounds issue.
The new implementation cleans up artifacts from the previous implementations that were left in the code as it evolves. We add multiple helper functions, and document invariants and preconditions as well as every major step. This way, we fix the security issue and a potential new one which was not caught before
PiperOrigin-RevId: 346146220
Change-Id: Iec0f44673f43349797bf9944dffe9b2f779137d8 | 8b5b9dc96666a3a5d27fad7179ff215e3b74b67c | tensorflow | cvefixes | 1 | https://github.com/tensorflow/tensorflow | https://github.com/tensorflow/tensorflow/commit/8b5b9dc96666a3a5d27fad7179ff215e3b74b67c | 2020-12-07 12:04:28-08:00 |
Prevent CHECK-fail in LSTM/GRU with zero-length input.
PiperOrigin-RevId: 346239181
Change-Id: I5f233dbc076aab7bb4e31ba24f5abd4eaf99ea4f | 14755416e364f17fb1870882fa778c7fec7f16e3 | tensorflow | cvefixes | 1 | https://github.com/tensorflow/tensorflow | https://github.com/tensorflow/tensorflow/commit/14755416e364f17fb1870882fa778c7fec7f16e3 | 2020-12-07 20:37:00-08:00 |
Prevent unitialized memory access in `GraphConstructor::MakeEdge`
The `MakeEdge` implementation assumes that there exists an output at `output_index` of `src` node and an input at `input_index` of `dst` node. However, if this is not the case this results in accessing data out of bounds. Because we are accessing an array that is a private member of a class and only in read only mode, this usually results only in unitialized memory access. However, it is reasonable to think that malicious users could manipulate these indexes to actually read data outside the class, thus resulting in information leakage and further exploits.
PiperOrigin-RevId: 346343288
Change-Id: I2127da27c2023d27f26efd39afa6c853385cab6f | 0cc38aaa4064fd9e79101994ce9872c6d91f816b | tensorflow | cvefixes | 1 | https://github.com/tensorflow/tensorflow | https://github.com/tensorflow/tensorflow/commit/0cc38aaa4064fd9e79101994ce9872c6d91f816b | 2020-12-08 09:57:20-08:00 |
Allowlist certain data types to avoid a seg fault.
PiperOrigin-RevId: 356326671
Change-Id: I23b65b52e93798cb5a6744632d31b0f88c6b6b31 | 4f663d4b8f0bec1b48da6fa091a7d29609980fa4 | tensorflow | cvefixes | 1 | https://github.com/tensorflow/tensorflow | https://github.com/tensorflow/tensorflow/commit/4f663d4b8f0bec1b48da6fa091a7d29609980fa4 | 2021-02-08 12:37:40-08:00 |
Fix segfaults in `tf.raw_ops.SparseCountSparseOutput`.
PiperOrigin-RevId: 360547563
Change-Id: I781c7af4b54a63d867c6e18d43a44d64a5c4e7c9 | 82e6203221865de4008445b13c69b6826d2b28d9 | tensorflow | cvefixes | 1 | https://github.com/tensorflow/tensorflow | https://github.com/tensorflow/tensorflow/commit/82e6203221865de4008445b13c69b6826d2b28d9 | 2021-03-02 17:06:27-08:00 |
Fix an invalid address vulnerability in `tf.raw_ops.RaggedBincount`.
PiperOrigin-RevId: 368293153
Change-Id: I4b4e493d3fd05e7dc55a55de3a041a80a4f275c3 | eebb96c2830d48597d055d247c0e9aebaea94cd5 | tensorflow | cvefixes | 1 | https://github.com/tensorflow/tensorflow | https://github.com/tensorflow/tensorflow/commit/eebb96c2830d48597d055d247c0e9aebaea94cd5 | 2021-04-13 14:22:27-07:00 |
Fix `tf.raw_ops.GetSessionTensor` and `tf.raw_ops.DeleteSessionTensor` null pointer dereferences.
PiperOrigin-RevId: 368294154
Change-Id: Ie10f07a0a9a1c2b685e08153d48a0ca4b93f9fc9 | ff70c47a396ef1e3cb73c90513da4f5cb71bebba | tensorflow | cvefixes | 1 | https://github.com/tensorflow/tensorflow | https://github.com/tensorflow/tensorflow/commit/ff70c47a396ef1e3cb73c90513da4f5cb71bebba | 2021-04-13 14:28:51-07:00 |
Fix `tf.raw_ops.ResourceCountUpTo` null pointer dereference.
PiperOrigin-RevId: 368294347
Change-Id: I2c16fbfc9b4966c402c3d8e311f0d665a9c852d8 | 030af767d357d1b4088c4a25c72cb3906abac489 | tensorflow | cvefixes | 1 | https://github.com/tensorflow/tensorflow | https://github.com/tensorflow/tensorflow/commit/030af767d357d1b4088c4a25c72cb3906abac489 | 2021-04-13 14:34:14-07:00 |
Fix `tf.raw_ops.RaggedTensorToVariant` invalid resize.
PiperOrigin-RevId: 368299574
Change-Id: I751c186325aa0bab397928845e790e60c2d90918 | b055b9c474cd376259dde8779908f9eeaf097d93 | tensorflow | cvefixes | 1 | https://github.com/tensorflow/tensorflow | https://github.com/tensorflow/tensorflow/commit/b055b9c474cd376259dde8779908f9eeaf097d93 | 2021-04-13 14:54:48-07:00 |
Fix `tf.raw_ops.RaggedTensorToTensor` failing CHECK in `tensor.cc`.
PiperOrigin-RevId: 368300502
Change-Id: I91255d23c4bfd3aa3c029aac773937c09daf3c64 | f94ef358bb3e91d517446454edff6535bcfe8e4a | tensorflow | cvefixes | 1 | https://github.com/tensorflow/tensorflow | https://github.com/tensorflow/tensorflow/commit/f94ef358bb3e91d517446454edff6535bcfe8e4a | 2021-04-13 15:01:45-07:00 |
Fix `tf.raw_ops.SparseCross` failing CHECK.
PiperOrigin-RevId: 368701671
Change-Id: Id805729dd9ba0bda36e4bb309408129b55fb649d | b1cc5e5a50e7cee09f2c6eb48eb40ee9c4125025 | tensorflow | cvefixes | 1 | https://github.com/tensorflow/tensorflow | https://github.com/tensorflow/tensorflow/commit/b1cc5e5a50e7cee09f2c6eb48eb40ee9c4125025 | 2021-04-15 13:08:45-07:00 |
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