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Sicherheitslücken in tensorflow · Seite 11

In den letzten 30 Tagen veröffentlichte Sicherheitslücken für tensorflow: 0. Davon im KEV-Katalog: 0.

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Sicherheitslücken: 434

  1. CVE-2021-41206

    Hoch · CVSS 7EPSS 0,18%Korrektur verfügbar

    Incomplete validation of shapes in multiple TF ops

    TensorFlow is an open source platform for machine learning. In affected versions several TensorFlow operations are missing validation for the shapes of the tensor arguments involved in the call. Depending on the API, this can result in undefined behavior and segfault or `CHECK`-fail related crashes but in some scenarios writes and reads from heap populated arrays are also possible. We have discovered these issues internally via tooling while working on improving/testing GPU op determinism. As such, we don't have reproducers and there will be multiple fixes for these issues. These fixes will be included in TensorFlow 2.7.0. We will also cherry

    • Auf 2.4.4 aktualisieren
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  2. CVE-2021-41208

    Hoch · CVSS 8.8EPSS 0,17%Korrektur verfügbar

    Incomplete validation in boosted trees code

    TensorFlow is an open source platform for machine learning. In affected versions the code for boosted trees in TensorFlow is still missing validation. As a result, attackers can trigger denial of service (via dereferencing `nullptr`s or via `CHECK`-failures) as well as abuse undefined behavior (binding references to `nullptr`s). An attacker can also read and write from heap buffers, depending on the API that gets used and the arguments that are passed to the call. Given that the boosted trees implementation in TensorFlow is unmaintained, it is recommend to no longer use these APIs. We will deprecate TensorFlow's boosted trees APIs in subseque

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  3. CVE-2021-41207

    Mittel · CVSS 5.5EPSS 0,14%Korrektur verfügbar

    Division by zero in `ParallelConcat`

    TensorFlow is an open source platform for machine learning. In affected versions the implementation of `ParallelConcat` misses some input validation and can produce a division by 0. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range.

    • Auf 2.4.4 aktualisieren
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    Veröffentlicht Aktualisiert
  4. CVE-2021-41202

    Mittel · CVSS 5.5EPSS 0,21%Korrektur verfügbar

    Overflow/crash in `tf.range`

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

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    Veröffentlicht Aktualisiert
  5. CVE-2021-41209

    Mittel · CVSS 5.5EPSS 0,14%Korrektur verfügbar

    FPE in convolutions with zero size filters

    TensorFlow is an open source platform for machine learning. In affected versions the implementations for convolution operators trigger a division by 0 if passed empty filter tensor arguments. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range.

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    Veröffentlicht Aktualisiert
  6. CVE-2021-41203

    Hoch · CVSS 7.8EPSS 0,19%Korrektur verfügbar

    Missing validation during checkpoint loading

    TensorFlow is an open source platform for machine learning. In affected versions an attacker can trigger undefined behavior, integer overflows, segfaults and `CHECK`-fail crashes if they can change saved checkpoints from outside of TensorFlow. This is because the checkpoints loading infrastructure is missing validation for invalid file formats. The fixes will be included in TensorFlow 2.7.0. We will also cherrypick these commits on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range.

    • Auf 2.4.4 aktualisieren
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    Veröffentlicht Aktualisiert
  7. CVE-2021-41215

    Mittel · CVSS 5.5EPSS 0,19%Korrektur verfügbar

    Null pointer exception in `DeserializeSparse`

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

    • Auf 2.4.4 aktualisieren
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    Veröffentlicht Aktualisiert
  8. CVE-2021-41217

    Mittel · CVSS 5.5EPSS 0,19%Korrektur verfügbar

    Null pointer exception when `Exit` node is not preceded by `Enter` op

    TensorFlow is an open source platform for machine learning. In affected versions the process of building the control flow graph for a TensorFlow model is vulnerable to a null pointer exception when nodes that should be paired are not. This occurs because the code assumes that the first node in the pairing (e.g., an `Enter` node) always exists when encountering the second node (e.g., an `Exit` node). When this is not the case, `parent` is `nullptr` so dereferencing it causes a crash. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also a

    • Auf 2.4.4 aktualisieren
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    Veröffentlicht Aktualisiert
  9. CVE-2021-41219

    Hoch · CVSS 7.8EPSS 0,21%Korrektur verfügbar

    Undefined behavior via `nullptr` reference binding in sparse matrix multiplication

    TensorFlow is an open source platform for machine learning. In affected versions the code for sparse matrix multiplication is vulnerable to undefined behavior via binding a reference to `nullptr`. This occurs whenever the dimensions of `a` or `b` are 0 or less. In the case on one of these is 0, an empty output tensor should be allocated (to conserve the invariant that output tensors are always allocated when the operation is successful) but nothing should be written to it (that is, we should return early from the kernel implementation). Otherwise, attempts to write to this empty tensor would result in heap OOB access. The fix will be included

    • Auf 2.4.4 aktualisieren
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    Veröffentlicht Aktualisiert
  10. CVE-2021-41214

    Hoch · CVSS 7.8EPSS 0,22%Korrektur verfügbar

    Reference binding to `nullptr` in `tf.ragged.cross`

    TensorFlow is an open source platform for machine learning. In affected versions the shape inference code for `tf.ragged.cross` has an undefined behavior due to binding a reference to `nullptr`. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range.

    • Auf 2.4.4 aktualisieren
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    Veröffentlicht Aktualisiert
  11. CVE-2021-41204

    Mittel · CVSS 5.5EPSS 0,14%Korrektur verfügbar

    Segfault while copying constant resource tensor

    TensorFlow is an open source platform for machine learning. In affected versions during TensorFlow's Grappler optimizer phase, constant folding might attempt to deep copy a resource tensor. This results in a segfault, as these tensors are supposed to not change. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range.

    • Auf 2.4.4 aktualisieren
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    • Auf 2.6.1 aktualisieren
    • Auf 2.7.0 aktualisieren
    Veröffentlicht Aktualisiert
  12. CVE-2021-41226

    Hoch · CVSS 7.1EPSS 0,21%Korrektur verfügbar

    Heap OOB read in `SparseBinCount`

    TensorFlow is an open source platform for machine learning. In affected versions the implementation of `SparseBinCount` is vulnerable to a heap OOB access. This is because of missing validation between the elements of the `values` argument and the shape of the sparse output. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range.

    • Auf 2.4.4 aktualisieren
    • Auf 2.5.2 aktualisieren
    • Auf 2.6.1 aktualisieren
    • Auf 2.7.0 aktualisieren
    Veröffentlicht Aktualisiert
  13. CVE-2021-41223

    Hoch · CVSS 7.1EPSS 0,21%Korrektur verfügbar

    Heap OOB read in `FusedBatchNorm` kernels

    TensorFlow is an open source platform for machine learning. In affected versions the implementation of `FusedBatchNorm` kernels is vulnerable to a heap OOB access. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range.

    • Auf 2.4.4 aktualisieren
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    • Auf 2.6.1 aktualisieren
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    Veröffentlicht Aktualisiert
  14. CVE-2021-41224

    Hoch · CVSS 7.1EPSS 0,21%Korrektur verfügbar

    `SparseFillEmptyRows` heap OOB read

    TensorFlow is an open source platform for machine learning. In affected versions the implementation of `SparseFillEmptyRows` can be made to trigger a heap OOB access. This occurs whenever the size of `indices` does not match the size of `values`. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range.

    • Auf 2.4.4 aktualisieren
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    Veröffentlicht Aktualisiert
  15. CVE-2021-41212

    Hoch · CVSS 7.1EPSS 0,21%Korrektur verfügbar

    Heap OOB read in `tf.ragged.cross`

    TensorFlow is an open source platform for machine learning. In affected versions the shape inference code for `tf.ragged.cross` can trigger a read outside of bounds of heap allocated array. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range.

    • Auf 2.4.4 aktualisieren
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    • Auf 2.6.1 aktualisieren
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    Veröffentlicht Aktualisiert
  16. CVE-2021-41211

    Hoch · CVSS 7.1EPSS 0,21%Korrektur verfügbar

    Heap OOB read in shape inference for `QuantizeV2`

    TensorFlow is an open source platform for machine learning. In affected versions the shape inference code for `QuantizeV2` can trigger a read outside of bounds of heap allocated array. This occurs whenever `axis` is a negative value less than `-1`. In this case, we are accessing data before the start of a heap buffer. The code allows `axis` to be an optional argument (`s` would contain an `error::NOT_FOUND` error code). Otherwise, it assumes that `axis` is a valid index into the dimensions of the `input` tensor. If `axis` is less than `-1` then this results in a heap OOB read. The fix will be included in TensorFlow 2.7.0. We will also cherryp

    • Auf 2.6.1 aktualisieren
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    Veröffentlicht Aktualisiert
  17. CVE-2021-41205

    Hoch · CVSS 7.1EPSS 0,15%Korrektur verfügbar

    Heap OOB read in all `tf.raw_ops.QuantizeAndDequantizeV*` ops

    TensorFlow is an open source platform for machine learning. In affected versions the shape inference functions for the `QuantizeAndDequantizeV*` operations can trigger a read outside of bounds of heap allocated array. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range.

    • Auf 2.4.4 aktualisieren
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    • Auf 2.6.1 aktualisieren
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    Veröffentlicht Aktualisiert
  18. CVE-2021-41210

    Hoch · CVSS 7.1EPSS 0,15%Korrektur verfügbar

    Heap OOB read in `tf.raw_ops.SparseCountSparseOutput`

    TensorFlow is an open source platform for machine learning. In affected versions the shape inference functions for `SparseCountSparseOutput` can trigger a read outside of bounds of heap allocated array. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range.

    • Auf 2.4.4 aktualisieren
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    • Auf 2.6.1 aktualisieren
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    Veröffentlicht Aktualisiert
  19. CVE-2021-41201

    Hoch · CVSS 7.8EPSS 0,25%Korrektur verfügbar

    Unitialized access in `EinsumHelper::ParseEquation`

    TensorFlow is an open source platform for machine learning. In affeced versions during execution, `EinsumHelper::ParseEquation()` is supposed to set the flags in `input_has_ellipsis` vector and `*output_has_ellipsis` boolean to indicate whether there is ellipsis in the corresponding inputs and output. However, the code only changes these flags to `true` and never assigns `false`. This results in unitialized variable access if callers assume that `EinsumHelper::ParseEquation()` always sets these flags. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4,

    • Auf 2.4.4 aktualisieren
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    Veröffentlicht Aktualisiert
  20. CVE-2021-41200

    Mittel · CVSS 5.5EPSS 0,24%Korrektur verfügbar

    Incomplete validation in `tf.summary.create_file_writer`

    TensorFlow is an open source platform for machine learning. In affected versions if `tf.summary.create_file_writer` is called with non-scalar arguments code crashes due to a `CHECK`-fail. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range.

    • Auf 2.4.4 aktualisieren
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    Veröffentlicht Aktualisiert

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