-
CVSS Score
-Basic Information
CVE ID
-
GHSA ID
-
EPSS Score
-
CWE
-
Published
-
Updated
-
KEV Status
-
Technology
-
Technical Details
Vulnerability Intelligence
Miggo AI
Miggo AIMiggo AI| Package Name | Ecosystem | Vulnerable Versions | First Patched Version |
|---|---|---|---|
| tensorflow | pip | < 2.8.4 | 2.8.4 |
| tensorflow | pip | >= 2.9.0, < 2.9.3 | 2.9.3 |
| tensorflow | pip | >= 2.10.0, < 2.10.1 | 2.10.1 |
| tensorflow-cpu | pip | < 2.8.4 | 2.8.4 |
| tensorflow-gpu | pip | < 2.8.4 | 2.8.4 |
| tensorflow-cpu | pip | >= 2.9.0, < 2.9.3 | 2.9.3 |
| tensorflow-gpu | pip | >= 2.9.0, < 2.9.3 | 2.9.3 |
| tensorflow-cpu | pip | >= 2.10.0, < 2.10.1 | 2.10.1 |
| tensorflow-gpu | pip | >= 2.10.0, < 2.10.1 | 2.10.1 |
Miggo AIRoot Cause AnalysisThe vulnerability stems from improper buffer size calculation in DoImageProjectiveTransformOp. The original code used ctx->allocate_output with raw dimension values (out_height/out_width) to create TensorShape, which could overflow when multiplied. The patch introduced TensorShape::BuildTensorShape which performs overflow checking. The CWE-131 classification and test case demonstrating overflow on large output_shape confirm the vulnerable pattern was in this function's output allocation logic.
PythonPython