TensorFlow is an end-to-end open source platform for machine learning. In affected versions under certain conditions, Go code can trigger a segfault in string deallocation. For string tensors, `C.TF_TString_Dealloc` is called during garbage collection within a finalizer function. However, tensor structure isn't checked until encoding to avoid a performance penalty. The current method for dealloc assumes that encoding succeeded, but segfaults when a string tensor is garbage collected whose encoding failed (e.g., due to mismatched dimensions). To fix this, the call to set the finalizer function is deferred until `NewTensor` returns and, if encoding failed for a string tensor, deallocs are determined based on bytes written. We have patched the issue in GitHub commit 8721ba96e5760c229217b594f6d2ba332beedf22. The fix will be included in TensorFlow 2.6.0. We will also cherrypick this commit on TensorFlow 2.5.1, which is the other affected version.

There are packages installed that are affected by a vulnerability referenced in the following CVE:

  - TensorFlow is an end-to-end open source platform for machine learning. In affected versions under certain
    conditions, Go code can trigger a segfault in string deallocation. For string tensors,
    `C.TF_TString_Dealloc` is called during garbage collection within a finalizer function. However, tensor
    structure isn't checked until encoding to avoid a performance penalty. The current method for dealloc
    assumes that encoding succeeded, but segfaults when a string tensor is garbage collected whose encoding
    failed (e.g., due to mismatched dimensions). To fix this, the call to set the finalizer function is
    deferred until `NewTensor` returns and, if encoding failed for a string tensor, deallocs are determined
    based on bytes written. We have patched the issue in GitHub commit
    8721ba96e5760c229217b594f6d2ba332beedf22. The fix will be included in TensorFlow 2.6.0. We will also
    cherrypick this commit on TensorFlow 2.5.1, which is the other affected version. (CVE-2021-37692)

The remote openSUSE 15 host has packages installed that are affected by multiple vulnerabilities as referenced in the openSUSE-SU-2022:10014-1 advisory.

    Update to TF2 2.6.0 which fixes multiple CVEs (boo#1189423).

    - Introduction of bazel6.3 and basel-skylib1.0.3 as build       dependencies.
      The latter has been adapted to all a version in its package       name (if %set_ver_suffix is set to 1). This allows multiple       versions to exist for one product (not installed).
      NOTE: basel-skylib1.0.3 does not exist in oS:Factory:
      basel-skylib in oS:Factory - the base version - is 1.0.3.

Tenable has extracted the preceding description block directly from the SUSE security advisory.

Note that Nessus has not tested for these issues but has instead relied only on the application's self-reported version number.

ID	Name	Product	Family	Type	Severity
413974	SCA: security update for tensorflow, tensorflow-cpu, tensorflow-gpu (GHSA-cmgw-8vpc-rc59)	Tenable Cloud Security	SCA Checks	Local	medium
413974	SCA: security update for tensorflow, tensorflow-cpu, tensorflow-gpu (GHSA-cmgw-8vpc-rc59)	Tenable Self-Hosted Container Security	SCA Checks	Local	medium
162400	openSUSE 15 Security Update : tensorflow2 (openSUSE-SU-2022:10014-1)	Nessus	SuSE Local Security Checks	Local	high

Detections

Analytics

CVE-2021-37692

medium

Tenable Plugins

medium

medium

high