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CVSS: 8.8EPSS: 0%CPEs: 5EXPL: 0

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. • https://github.com/tensorflow/tensorflow/commit/5c8c9a8bfe750f9743d0c859bae112060b216f5c https://github.com/tensorflow/tensorflow/security/advisories/GHSA-57wx-m983-2f88 • CWE-476: NULL Pointer Dereference CWE-824: Access of Uninitialized Pointer •

CVSS: 5.5EPSS: 0%CPEs: 5EXPL: 0

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. TensorFlow es una plataforma de código abierto para el aprendizaje automático. • https://github.com/tensorflow/tensorflow/commit/f2c3931113eaafe9ef558faaddd48e00a6606235 https://github.com/tensorflow/tensorflow/security/advisories/GHSA-7v94-64hj-m82h • CWE-369: Divide By Zero •

CVSS: 5.5EPSS: 0%CPEs: 5EXPL: 0

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. • https://github.com/tensorflow/tensorflow/commit/1b0e0ec27e7895b9985076eab32445026ae5ca94 https://github.com/tensorflow/tensorflow/commit/6d94002a09711d297dbba90390d5482b76113899 https://github.com/tensorflow/tensorflow/issues/46889 https://github.com/tensorflow/tensorflow/issues/46912 https://github.com/tensorflow/tensorflow/security/advisories/GHSA-xrqm-fpgr-6hhx • CWE-681: Incorrect Conversion between Numeric Types •

CVSS: 5.5EPSS: 0%CPEs: 5EXPL: 0

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. TensorFlow es una plataforma de código abierto para el aprendizaje automático. • https://github.com/tensorflow/tensorflow/commit/f2c3931113eaafe9ef558faaddd48e00a6606235 https://github.com/tensorflow/tensorflow/security/advisories/GHSA-6hpv-v2rx-c5g6 • CWE-369: Divide By Zero •

CVSS: 7.8EPSS: 0%CPEs: 3EXPL: 0

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. • https://github.com/tensorflow/tensorflow/commit/368af875869a204b4ac552b9ddda59f6a46a56ec https://github.com/tensorflow/tensorflow/commit/abcced051cb1bd8fb05046ac3b6023a7ebcc4578 https://github.com/tensorflow/tensorflow/commit/b619c6f865715ca3b15ef1842b5b95edbaa710ad https://github.com/tensorflow/tensorflow/commit/e8dc63704c88007ee4713076605c90188d66f3d2 https://github.com/tensorflow/tensorflow/security/advisories/GHSA-7pxj-m4jf-r6h2 • CWE-190: Integer Overflow or Wraparound CWE-345: Insufficient Verification of Data Authenticity •