Kushalkhemka/embedding-cve-nvd-dataset huggingface dataset:
nsorflow/commit/b51b82fe65ebace4475e3c54eb089c18a4403f1c - https://github.com/tensorflow/tensorflow/blob/5100e359aef5c8021f2e71c7b986420b85ce7b3d/tensorflow/core/kernels/sparse_tensors_map_ops.cc
CVE ID: CVE-2022-23569 State: PUBLISHED Published: 2022-02-03T12:47:29.000Z Last Updated: 2025-05-05T16:26:10.887Z Severity: MEDIUM (CVSS 6.5 CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H) Vendors: n/a Products: n/a Problem Types: n/a Description: 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.
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. Additional Analyst Notes: - CVE Program Container: - CISA ADP Vulnrichment: References: - https://github.com/tensorflow/tensorflow/security/advisories/GHSA-qj5r-f9mv-rffh - https://github.com/tensorflow/tensorflow/blob/master/tensorflow/security/advisory/tfsa-2021-198.md
CVE ID: CVE-2022-23570 State: PUBLISHED Published: 2022-02-04T22:32:42.000Z Last Updated: 2025-04-22T18:23:10.226Z Severity: MEDIUM (CVSS 6.5 CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H) Vendors: tensorflow Products: tensorflow Problem Types: CWE-476 Description: 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 t
ion 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. Additional Analyst Notes: - CVE Program Container: - CISA ADP Vulnrichment: References: - https://github.com/tensorflow/tensorflow/security/advisories/GHSA-9p77-mmrw-69c7 - https://github.com/tensorflow/tensorflow/commit/8a513cec4bec15961fbfdedcaa5376522980455c - https://github.com/tensorflow/tensorflow/blob/a1320ec1eac186da1d03f
ow/commit/8a513cec4bec15961fbfdedcaa5376522980455c - https://github.com/tensorflow/tensorflow/blob/a1320ec1eac186da1d03f033109191f715b2b130/tensorflow/core/framework/full_type_util.cc#L104-L106
CVE ID: CVE-2022-23571 State: PUBLISHED Published: 2022-02-04T22:32:34.000Z Last Updated: 2025-04-23T19:07:57.657Z Severity: MEDIUM (CVSS 6.5 CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H) Vendors: tensorflow Products: tensorflow Problem Types: CWE-617 Description: 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 th
use 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. Additional Analyst Notes: - CVE Program Container: - CISA ADP Vulnrichment: References: - https://github.com/tensorflow/tensorflow/security/advisories/GHSA-j3mj-fhpq-qqjj - https://github.com/tensorflow/tensorflow/commit/5b491cd5e41ad63735161cec9c2a568172c8b6a3
CVE ID: CVE-2022-23572 State: PUBLISHED Published: 2022-02-04T22:32:29.000Z Last Updated: 2025-04-22T18:24:19.179Z Severity: MEDIUM (CVSS 6.5 CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H) Vendors: tensorflow Products: tensorflow Problem Types: CWE-754 Description: 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.
oceeds 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. Additional Analyst Notes: - CVE Program Container: - CISA ADP Vulnrichment: References: - https://github.com/tensorflow/tensorflow/security/advisories/GHSA-rww7-2gpw-fv6j - https://github.com/tensorflow/tensorflow/commit/cb164786dc891ea11d3a900e90367c339305dc7b - https://github.com/tensorflow/tensorflow/blob/a1320ec1eac186da1d0
flow/commit/cb164786dc891ea11d3a900e90367c339305dc7b - https://github.com/tensorflow/tensorflow/blob/a1320ec1eac186da1d03f033109191f715b2b130/tensorflow/core/framework/shape_inference.cc#L168-L174
CVE ID: CVE-2022-23573 State: PUBLISHED Published: 2022-02-04T22:32:28.000Z Last Updated: 2025-04-22T18:24:28.177Z Severity: HIGH (CVSS 7.6 CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:L/A:H) Vendors: tensorflow Products: tensorflow Problem Types: CWE-908 Description: 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 als
t 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. Additional Analyst Notes: - CVE Program Container: - CISA ADP Vulnrichment: References: - https://github.com/tensorflow/tensorflow/security/advisories/GHSA-q85f-69q7-55h2 - https://github.com/tensorflow/tensorflow/commit/ef1d027be116f25e25bb94a60da491c2cf55bd0b - https://github.com/tensorflow/tensorflow/blob/a1320ec1eac186da1d03f033109191f715b2b130/tensorflow/core/kernels/assign_op.h#L30-L143
CVE ID: CVE-2022-23574 State: PUBLISHED Published: 2022-02-04T22:32:35.000Z Last Updated: 2025-04-22T18:23:39.476Z Severity: HIGH (CVSS 8.8 CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H) Vendors: tensorflow Products: tensorflow Problem Types: CWE-125, CWE-787 Description: 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
ctor 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. Additional Analyst Notes: - CVE Program Container: - CISA ADP Vulnrichment: References: - https://github.com/tensorflow/tensorflow/security/advisories/GHSA-77gp-3h4r-6428 - https://github.com/tensorflow/tensorflow/commit/0657c83d08845cc434175934c642299de2c0f042 - https://github.com/tensorflow/tensorflow/blob/a1320ec1eac186da1d03f033109191f715b2b130/tensorflow/core/framework/full_type_util.cc#L81-L102
CVE ID: CVE-2022-23575 State: PUBLISHED Published: 2022-02-04T22:32:23.000Z Last Updated: 2025-04-22T18:25:16.716Z Severity: MEDIUM (CVSS 6.5 CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H) Vendors: tensorflow Products: tensorflow Problem Types: CWE-190 Description: 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
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. Additional Analyst Notes: - CVE Program Container: - CISA ADP Vulnrichment: References: - https://github.com/tensorflow/tensorflow/security/advisories/GHSA-c94w-c95p-phf8 - https://github.com/tensorflow/tensorflow/commit/fcd18ce3101f245b083b30655c27b239dc72221e - https://github.com/tensorflow/tensorflow/blob/a1320ec1eac186da1d03f033109191f715b2b130/tensorflow/core/grappler/costs/op_level_cost_estimator.cc#L1552-L1558
CVE ID: CVE-2022-23576 State: PUBLISHED Published: 2022-02-04T22:32:22.000Z Last Updated: 2025-04-22T18:25:25.949Z Severity: MEDIUM (CVSS 6.5 CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H) Vendors: tensorflow Products: tensorflow Problem Types: CWE-190 Description: 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
`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. Additional Analyst Notes: - CVE Program Container: - CISA ADP Vulnrichment: References: - https://github.com/tensorflow/tensorflow/security/advisories/GHSA-wm93-f238-7v37 - https://github.com/tensorflow/tensorflow/commit/b9bd6cfd1c50e6807846af9a86f9b83cafc9c8ae - https://github.com/tensorflow/tensorflow/blob/a1320ec1eac186da1d03f033109191f715b2b130/tensorflow/core/grappler/co
8ae - https://github.com/tensorflow/tensorflow/blob/a1320ec1eac186da1d03f033109191f715b2b130/tensorflow/core/grappler/costs/op_level_cost_estimator.cc#L1598-L1617
CVE ID: CVE-2022-23577 State: PUBLISHED Published: 2022-02-04T22:32:31.000Z Last Updated: 2025-04-22T18:23:59.696Z Severity: MEDIUM (CVSS 6.5 CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H) Vendors: tensorflow Products: tensorflow Problem Types: CWE-476 Description: 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. Additional Analyst Notes: - CVE Program Container: - CISA ADP Vulnrichment: Ref
o affected and still in supported range. Additional Analyst Notes: - CVE Program Container: - CISA ADP Vulnrichment: References: - https://github.com/tensorflow/tensorflow/security/advisories/GHSA-8cxv-76p7-jxwr - https://github.com/tensorflow/tensorflow/commit/4f38b1ac8e42727e18a2f0bde06d3bee8e77b250 - https://github.com/tensorflow/tensorflow/blob/a1320ec1eac186da1d03f033109191f715b2b130/tensorflow/cc/saved_model/loader_util.cc#L31-L61
CVE ID: CVE-2022-23578 State: PUBLISHED Published: 2022-02-04T22:32:30.000Z Last Updated: 2025-04-22T18:24:09.382Z Severity: MEDIUM (CVSS 4.3 CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:L) Vendors: tensorflow Products: tensorflow Problem Types: CWE-401 Description: 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.
. 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. Additional Analyst Notes: - CVE Program Container: - CISA ADP Vulnrichment: References: - https://github.com/tensorflow/tensorflow/security/advisories/GHSA-8r7c-3cm2-3h8f - https://github.com/tensorflow/tensorflow/commit/c79ccba517dbb1a0ccb9b01ee3bd2a63748b60dd - https://github.com/tensorflow/tensorflow/blob/a1320ec1eac186da1d03f033109191f715b2b130/tensorflow/core/common_runtime/immutable_executor_state.cc#L84-L262
CVE ID: CVE-2022-23579 State: PUBLISHED Published: 2022-02-04T22:32:26.000Z Last Updated: 2025-04-22T18:24:47.549Z Severity: MEDIUM (CVSS 6.5 CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H) Vendors: tensorflow Products: tensorflow Problem Types: CWE-617 Description: 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. Addition
sorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range. Additional Analyst Notes: - CVE Program Container: - CISA ADP Vulnrichment: References: - https://github.com/tensorflow/tensorflow/security/advisories/GHSA-5f2r-qp73-37mr - https://github.com/tensorflow/tensorflow/commit/92dba16749fae36c246bec3f9ba474d9ddeb7662 - https://github.com/tensorflow/tensorflow/blob/a1320ec1eac186da1d03f033109191f715b2b130/tensorflow/core/grappler/optimizers/dependency_optimizer.cc#L59-L98
CVE ID: CVE-2022-23580 State: PUBLISHED Published: 2022-02-04T22:32:25.000Z Last Updated: 2025-04-22T18:24:56.530Z Severity: MEDIUM (CVSS 6.5 CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H) Vendors: tensorflow Products: tensorflow Problem Types: CWE-400 Description: 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. Additional Analyst Notes: - CVE Program Container: - CISA AD
3, as these are also affected and still in supported range. Additional Analyst Notes: - CVE Program Container: - CISA ADP Vulnrichment: References: - https://github.com/tensorflow/tensorflow/security/advisories/GHSA-627q-g293-49q7 - https://github.com/tensorflow/tensorflow/commit/1361fb7e29449629e1df94d44e0427ebec8c83c7 - https://github.com/tensorflow/tensorflow/blob/a1320ec1eac186da1d03f033109191f715b2b130/tensorflow/core/framework/shape_inference.cc#L788-L790
CVE ID: CVE-2022-23581 State: PUBLISHED Published: 2022-02-04T22:32:24.000Z Last Updated: 2025-04-22T18:25:07.180Z Severity: MEDIUM (CVSS 6.5 CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H) Vendors: tensorflow Products: tensorflow Problem Types: CWE-617 Description: 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. Additio
nsorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range. Additional Analyst Notes: - CVE Program Container: - CISA ADP Vulnrichment: References: - https://github.com/tensorflow/tensorflow/security/advisories/GHSA-fq86-3f29-px2c - https://github.com/tensorflow/tensorflow/commit/1fb27733f943295d874417630edd3b38b34ce082 - https://github.com/tensorflow/tensorflow/commit/240655511cd3e701155f944a972db71b6c0b1bb6 - https://github.com/tensorflow/tensorflow/commit/ebc1a2ffe5a7573d905e99bd0ee3568ee07c12c1 - https://github.com/tensorflow/tensorflow/blob/a1320ec1eac186da1d03f033109191f715b2b130/tensorflow/core/grappler/optimizers/constant_folding.c
nsorflow/tensorflow/blob/a1320ec1eac186da1d03f033109191f715b2b130/tensorflow/core/grappler/optimizers/constant_folding.cc#L1687-L1742
CVE ID: CVE-2022-23582 State: PUBLISHED Published: 2022-02-04T22:32:17.000Z Last Updated: 2025-04-22T18:26:15.917Z Severity: MEDIUM (CVSS 6.5 CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H) Vendors: tensorflow Products: tensorflow Problem Types: CWE-617 Description: 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
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. Additional Analyst Notes: - CVE Program Container: - CISA ADP Vulnrichment: References: - https://github.com/tensorflow/tensorflow/security/advisories/GHSA-4j82-5ccr-4r8v - https://github.com/tensorflow/tensorflow/commit/c2426bba00a01de6913738df8fa78e0215fcce02 - https://github.com/tensorflow/tensorflow/blob/a1320ec
rflow/tensorflow/commit/c2426bba00a01de6913738df8fa78e0215fcce02 - https://github.com/tensorflow/tensorflow/blob/a1320ec1eac186da1d03f033109191f715b2b130/tensorflow/core/framework/attr_value_util.cc#L46-L50
CVE ID: CVE-2022-23583 State: PUBLISHED Published: 2022-02-04T22:32:18.000Z Last Updated: 2025-04-22T18:26:06.914Z Severity: MEDIUM (CVSS 6.5 CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H) Vendors: tensorflow Products: tensorflow Problem Types: CWE-617 Description: 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 corrupt
`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. Additional Analyst Notes: - CVE Program Container: - CISA ADP Vulnric
se are also affected and still in supported range. Additional Analyst Notes: - CVE Program Container: - CISA ADP Vulnrichment: References: - https://github.com/tensorflow/tensorflow/security/advisories/GHSA-gjqc-q9g6-q2j3 - https://github.com/tensorflow/tensorflow/commit/a7c02f1a9bbc35473969618a09ee5f9f5d3e52d9 - https://github.com/tensorflow/tensorflow/blob/a1320ec1eac186da1d03f033109191f715b2b130/tensorflow/core/kernels/cwise_ops_common.h#L88-L137
CVE ID: CVE-2022-23584 State: PUBLISHED Published: 2022-02-04T22:32:16.000Z Last Updated: 2025-04-22T18:26:25.572Z Severity: HIGH (CVSS 7.6 CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:L/A:H) Vendors: tensorflow Products: tensorflow Problem Types: CWE-416 Description: 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 a
ll 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. Additional Analyst Notes: - CVE Program Container: - CISA ADP Vulnrichment: References: - https://github.com/tensorflow/tensorflow/security/advisories/GHSA-24x4-6qmh-88qg - https://github.com/tensorflow/tensorflow/commit/e746adbfcfee15e9cfdb391ff746c765b99bdf9b - https://github.com/tensorflow/tensorflow/blob/a1320ec1eac186da1d03f033109191f715b2b130/tensorflow/core/kernels/image/decode_image_op.cc#L339-L346
CVE ID: CVE-2022-23585 State: PUBLISHED Published: 2022-02-04T22:32:27.000Z Last Updated: 2025-04-22T18:24:37.595Z Severity: MEDIUM (CVSS 4.3 CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:L) Vendors: tensorflow Products: tensorflow Problem Types: CWE-401 Description: 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
ever, 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. Additional Analyst Notes: - CVE Program Container: - CISA ADP Vulnrichment: References: - https://github.com/tensorflow/tensorflow/security/advisories/GHSA-fq6p-6334-8gr4 - https://github.com/tensorflow/tensorflow/commit/ab51e5b813573dc9f51efa335aebcf2994125ee9 - https://github.com/tensorflow/tensorflow/b
b.com/tensorflow/tensorflow/commit/ab51e5b813573dc9f51efa335aebcf2994125ee9 - https://github.com/tensorflow/tensorflow/blob/a1320ec1eac186da1d03f033109191f715b2b130/tensorflow/core/kernels/image/decode_image_op.cc#L322-L416