CVE-2021-29539
TensorFlow is an end-to-end open source platform for machine learning. Calling tf.raw_ops.ImmutableConst(https://www.tensorflow.org/api_docs/python/tf/raw_ops/ImmutableConst) with a dtype of tf.resource or tf.variant results in a segfault in the implementation as code assumes that the tensor contents are pure scalars. We have patched the issue in 4f663d4b8f0bec1b48da6fa091a7d29609980fa4 and will release TensorFlow 2.5.0 containing the patch. TensorFlow nightly packages after this commit will also have the issue resolved. If using tf.raw_ops.ImmutableConst in code, you can prevent the segfault by inserting a filter for the dtype argument.
| Software | From | Fixed in |
|---|---|---|
| google / tensorflow | 2.4.0 | 2.4.2 |
| google / tensorflow | 2.3.0 | 2.3.3 |
| google / tensorflow | 2.2.0 | 2.2.3 |
| google / tensorflow | - | 2.1.4 |
tensorflow
|
- | 2.1.4 |
|
tensorflow
|
2.2.0 | 2.2.3 |
|
tensorflow
|
2.3.0 | 2.3.3 |
|
tensorflow
|
2.4.0 | 2.4.2 |
|
tensorflow-cpu
|
- | 2.1.4 |
|
tensorflow-cpu
|
2.2.0 | 2.2.3 |
|
tensorflow-cpu
|
2.3.0 | 2.3.3 |
|
tensorflow-cpu
|
2.4.0 | 2.4.2 |
|
tensorflow-gpu
|
- | 2.1.4 |
|
tensorflow-gpu
|
2.2.0 | 2.2.3 |
|
tensorflow-gpu
|
2.3.0 | 2.3.3 |
|
tensorflow-gpu
|
2.4.0 | 2.4.2 |
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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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