Asymmetric denial of service In tensorflow-gpu
Description
Null pointer dereference in TensorFlow
Impact
When building an XLA compilation cache, if default settings are used, TensorFlow triggers a null pointer dereference:
string allowed_gpus = flr->config_proto()->gpu_options().visible_device_list();
In the default scenario, all devices are allowed, so flr->config_proto is nullptr.
Patches
We have patched the issue in GitHub commit e21af685e1828f7ca65038307df5cc06de4479e8. 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.
For more information
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Mitigation
Update Impact
Minimal update. May introduce new vulnerabilities or breaking changes.
Ecosystem | Component | Affected version | Patched versions |
|---|---|---|---|
 pypi | 2.5.3, 2.6.3, 2.7.1 | ||
pypi | 2.5.3, 2.6.3, 2.7.1 | ||
pypi | 2.5.3, 2.6.3, 2.7.1 |
Aliases
References