CVE-2023-25668: TensorFlow vulnerable to heap out-of-buffer read in the QuantizeAndDequantize operation
Affected: tensorflow · Exploitation: unlikely (under 1%)
Not in CyberSIXT coverage yet: no article names this CVE. This page shows the public record.
Higher than 58% of scored CVEs
DescriptionCVE.org
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.
Affected products1
From the CVE record. A product or version that is not listed is unknown, not unaffected.
- tensorflow · tensorflow< 2.11.1
On the Atlas
Every published CVE is on the CyberSIXT Atlas, grouped by weakness, vendor and month.
- Exploitation
- Unlikely (under 1%). EPSS under 1%, or no score yet.
- CISA KEV
- Not listed
- Public check
- No public nuclei template
- Vendor
- tensorflow
- Published
- March 2023
CoverageNo articles yet
No CyberSIXT article names CVE-2023-25668 yet, so there is no coverage timeline, action brief or change log for it. Everything on this page comes from the public CVE record, CISA KEV, EPSS and the nuclei template index. Search the archive or see the CVEs in the news.