CVE-2022-35952

CVE-2022-35952

TensorFlow is an open source platform for machine learning. The `UnbatchGradOp` function takes an argument `id` that is assumed to be a scalar. A nonscalar `id` can trigger a `CHECK` failure and crash the program. It also requires its argument `batch_index` to contain three times the number of elements as indicated in its `batch_index.dim_size(0)`. An incorrect `batch_index` can trigger a `CHECK` failure and crash the program. We have patched the issue in GitHub commit 5f945fc6409a3c1e90d6970c9292f805f6e6ddf2. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. There are no known workarounds for this issue.

Source: CVE-2022-35952

CVE-2022-35935

CVE-2022-35935

TensorFlow is an open source platform for machine learning. The implementation of SobolSampleOp is vulnerable to a denial of service via CHECK-failure (assertion failure) caused by assuming `input(0)`, `input(1)`, and `input(2)` to be scalar. This issue has been patched in GitHub commit c65c67f88ad770662e8f191269a907bf2b94b1bf. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. There are no known workarounds for this issue.

Source: CVE-2022-35935

CVE-2022-35934

CVE-2022-35934

TensorFlow is an open source platform for machine learning. The implementation of tf.reshape op in TensorFlow is vulnerable to a denial of service via CHECK-failure (assertion failure) caused by overflowing the number of elements in a tensor. This issue has been patched in GitHub commit 61f0f9b94df8c0411f0ad0ecc2fec2d3f3c33555. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. There are no known workarounds for this issue.

Source: CVE-2022-35934

CVE-2022-3214

CVE-2022-3214

Delta Industrial Automation’s DIAEnergy, an industrial energy management system, is vulnerable to CWE-798, Use of Hard-coded Credentials. Version 1.8.0 and prior have this vulnerability. Executable files could be uploaded to certain directories using hard-coded bearer authorization, allowing remote code execution.

Source: CVE-2022-3214

CVE-2022-39063

CVE-2022-39063

When Open5GS UPF receives a PFCP Session Establishment Request, it stores related values for building the PFCP Session Establishment Response. Once UPF receives a request, it gets the f_teid_len from incoming message, and then uses it to copy data from incoming message to struct f_teid without checking the maximum length. If the pdi.local_f_teid.len exceeds the maximum length of the struct of f_teid, the memcpy() overwrites the fields (e.g., f_teid_len) after f_teid in the pdr struct. After parsing the request, the UPF starts to build a response. The f_teid_len with its overwritten value is used as a length for memcpy(). A segmentation fault occurs, as a result of a memcpy(), if this overwritten value is large enough.

Source: CVE-2022-39063