TensorFlow is an end-to-end open source platform for machine learning. In affected versions when running shape functions, some functions (such as MutableHashTableShape) produce extra output information in the form of a ShapeAndType struct. The shapes embedded in this struct are owned by an inference context that is cleaned up almost immediately; if the upstream code attempts to access this shape information, it can trigger a segfault. ShapeRefiner is mitigating this for normal output shapes by cloning them (and thus putting the newly created shape under ownership of an inference context that will not die), but we were not doing the same for shapes and types. This commit fixes that by doing similar logic on output shapes and types. We have patched the issue in GitHub commit ee119d4a498979525046fba1c3dd3f13a039fbb1. The fix will be included in TensorFlow 2.6.0. We will also cherrypick this commit on TensorFlow 2.5.1, TensorFlow 2.4.3, and TensorFlow 2.3.4, as these are also affected and still in supported range.
| Software | From | Fixed in |
|---|---|---|
| google / tensorflow | 2.4.0 | 2.4.3 |
| google / tensorflow | 2.6.0-rc2 | 2.6.0-rc2.x |
| google / tensorflow | 2.6.0-rc1 | 2.6.0-rc1.x |
| google / tensorflow | 2.6.0-rc0 | 2.6.0-rc0.x |
| google / tensorflow | 2.3.0 | 2.3.4 |
| google / tensorflow | 2.5.0 | 2.5.0.x |
tensorflow
|
- | 2.3.4 |
tensorflow
|
2.4.0 | 2.4.3 |
tensorflow
|
2.5.0 | 2.5.0.x |
tensorflow
|
2.5.0 | 2.5.1 |
tensorflow-cpu
|
- | 2.3.4 |
tensorflow-cpu
|
2.4.0 | 2.4.3 |
tensorflow-cpu
|
2.5.0 | 2.5.0.x |
tensorflow-cpu
|
2.5.0 | 2.5.1 |
tensorflow-gpu
|
- | 2.3.4 |
tensorflow-gpu
|
2.4.0 | 2.4.3 |
tensorflow-gpu
|
2.5.0 | 2.5.0.x |
tensorflow-gpu
|
2.5.0 | 2.5.1 |
A security vulnerability is a weakness in software, hardware, or configuration that can be exploited to compromise confidentiality, integrity, or availability. Many vulnerabilities are tracked as CVEs (Common Vulnerabilities and Exposures), which provide a standardized identifier so teams can coordinate patching, mitigation, and risk assessment across tools and vendors.
CVSS (Common Vulnerability Scoring System) estimates technical severity, but it doesn't automatically equal business risk. Prioritize using context like internet exposure, affected asset criticality, known exploitation (proof-of-concept or in-the-wild), and whether compensating controls exist. A "Medium" CVSS on an exposed, production system can be more urgent than a "Critical" on an isolated, non-production host.
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