TensorFlow vulnerable to heap out-of-buffer read in the QuantizeAndDequantize operation
Default status is the baseline for the product, each version can override it (e.g. patched versions marked unaffected).
| Vendor | Product | Default status | Versions | ||||||
|---|---|---|---|---|---|---|---|---|---|
| tensorflow | tensorflow | affected |
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No data.
No data available yet.
| Source | ID | Title |
|---|---|---|
EUVD |
EUVD-2023-1018 | TensorFlow is an open source platform for machine learning. Attackers using Tensorflow prior to 2.12.0 or 2.11.1 can access heap memory which is not in the control of user, leading to a crash or remote code execution. The fix will be included in TensorFlow version 2.12.0 and will also cherrypick this commit on TensorFlow version 2.11.1. |
Github GHSA |
GHSA-gw97-ff7c-9v96 | TensorFlow has a heap out-of-buffer read vulnerability in the QuantizeAndDequantize operation |
No CVSS v4.0
No CVSS v3.0
No CVSS v2
This CVE is not in the KEV list.
Exploit prediction score: < 1% (0.838% probability within 30 days)
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