CVSS: 6.5EPSS: 0%CPEs: 3EXPL: 1CVE-2022-23572 – Crash when type cannot be specialized in Tensorflow
https://notcve.org/view.php?id=CVE-2022-23572
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. • https://github.com/tensorflow/tensorflow/blob/a1320ec1eac186da1d03f033109191f715b2b130/tensorflow/core/framework/shape_inference.cc#L168-L174 https://github.com/tensorflow/tensorflow/commit/cb164786dc891ea11d3a900e90367c339305dc7b https://github.com/tensorflow/tensorflow/security/advisories/GHSA-rww7-2gpw-fv6j • CWE-617: Reachable Assertion CWE-754: Improper Check for Unusual or Exceptional Conditions •
CVSS: 8.8EPSS: 0%CPEs: 3EXPL: 1CVE-2022-23573 – Uninitialized variable access in Tensorflow
https://notcve.org/view.php?id=CVE-2022-23573
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. • https://github.com/tensorflow/tensorflow/blob/a1320ec1eac186da1d03f033109191f715b2b130/tensorflow/core/kernels/assign_op.h#L30-L143 https://github.com/tensorflow/tensorflow/commit/ef1d027be116f25e25bb94a60da491c2cf55bd0b https://github.com/tensorflow/tensorflow/security/advisories/GHSA-q85f-69q7-55h2 • CWE-908: Use of Uninitialized Resource •
CVSS: 6.5EPSS: 0%CPEs: 3EXPL: 1CVE-2022-23585 – Memory leak in decoding PNG images in Tensorflow
https://notcve.org/view.php?id=CVE-2022-23585
Tensorflow is an Open Source Machine Learning Framework. When decoding PNG images TensorFlow can produce a memory leak if the image is invalid. After calling `png::CommonInitDecode(..., &decode)`, the `decode` value contains allocated buffers which can only be freed by calling `png::CommonFreeDecode(&decode)`. However, several error case in the function implementation invoke the `OP_REQUIRES` macro which immediately terminates the execution of the function, without allowing for the memory free to occur. The fix will be included in TensorFlow 2.8.0. • https://github.com/tensorflow/tensorflow/blob/a1320ec1eac186da1d03f033109191f715b2b130/tensorflow/core/kernels/image/decode_image_op.cc#L322-L416 https://github.com/tensorflow/tensorflow/commit/ab51e5b813573dc9f51efa335aebcf2994125ee9 https://github.com/tensorflow/tensorflow/security/advisories/GHSA-fq6p-6334-8gr4 • CWE-401: Missing Release of Memory after Effective Lifetime •
CVSS: 6.5EPSS: 0%CPEs: 3EXPL: 1CVE-2022-23579 – `CHECK`-failures during Grappler's `SafeToRemoveIdentity` in Tensorflow
https://notcve.org/view.php?id=CVE-2022-23579
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. Tensorflow es un Marco de Aprendizaje Automático de Código Abierto. • https://github.com/tensorflow/tensorflow/blob/a1320ec1eac186da1d03f033109191f715b2b130/tensorflow/core/grappler/optimizers/dependency_optimizer.cc#L59-L98 https://github.com/tensorflow/tensorflow/commit/92dba16749fae36c246bec3f9ba474d9ddeb7662 https://github.com/tensorflow/tensorflow/security/advisories/GHSA-5f2r-qp73-37mr • CWE-617: Reachable Assertion •
CVSS: 6.5EPSS: 0%CPEs: 3EXPL: 1CVE-2022-23580 – Abort caused by allocating a vector that is too large in Tensorflow
https://notcve.org/view.php?id=CVE-2022-23580
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. Tensorflow es un Marco de Aprendizaje Automático de Código Abierto. • https://github.com/tensorflow/tensorflow/blob/a1320ec1eac186da1d03f033109191f715b2b130/tensorflow/core/framework/shape_inference.cc#L788-L790 https://github.com/tensorflow/tensorflow/commit/1361fb7e29449629e1df94d44e0427ebec8c83c7 https://github.com/tensorflow/tensorflow/security/advisories/GHSA-627q-g293-49q7 • CWE-400: Uncontrolled Resource Consumption CWE-1284: Improper Validation of Specified Quantity in Input •