Evidence used
- No CISA KEV confirmation is currently recorded.
- A structured source references public exploit or proof-of-concept material.
- EPSS is 0.76% for the current model date.
BlackTreeCVE Intelligencetensorflow · tensorflow
Official source article: GitHub GHSA-Q85F-69Q7-55H2 ↗. Check the applicable product and release in the original source.
High technical severity with public exploit material referenced by a structured source; prioritise exposed affected systems while verifying vendor guidance.
Debian findings are scoped to the named distribution, release and source package. An absent finding does not mean a package is unaffected.
A published vendor fix does not prove that a matching update is enabled and installable on a particular asset. Confirm the local package candidate before scheduling remediation.
| Distribution release | Source package | Vendor state | Fixed version | Evidence |
|---|---|---|---|---|
| Debian forkyforky · source | tensorflow | Not affectedDebian marks this release not affected (fixed-version marker 0). | Not published in this feed | Debian Security Tracker ↗Source updated 6 Oct 2026 |
| Debian sidsid · source | tensorflow | Not affectedDebian marks this release not affected (fixed-version marker 0). | Not published in this feed | Debian Security Tracker ↗Source updated 6 Oct 2026 |
These OSV and GitHub advisory ranges apply only to the named package and ecosystem. A listed fixed version is not a universal product patch or proof that an update is installed.
| Ecosystem and package | Affected range | First fixed version | Evidence |
|---|---|---|---|
| piptensorflow | < 2.5.3 | 2.5.3 | GitHub advisory ↗upstream repository advisory · 13 Nov 2024 |
| piptensorflow | >= 2.6.0, < 2.6.3 | 2.6.3 | GitHub advisory ↗upstream repository advisory · 13 Nov 2024 |
| piptensorflow | = 2.7.0 | 2.7.1 | GitHub advisory ↗upstream repository advisory · 13 Nov 2024 |
| piptensorflow-cpu | < 2.5.3 | 2.5.3 | GitHub advisory ↗upstream repository advisory · 13 Nov 2024 |
| piptensorflow-cpu | >= 2.6.0, < 2.6.3 | 2.6.3 | GitHub advisory ↗upstream repository advisory · 13 Nov 2024 |
| piptensorflow-cpu | = 2.7.0 | 2.7.1 | GitHub advisory ↗upstream repository advisory · 13 Nov 2024 |
| piptensorflow-gpu | < 2.5.3 | 2.5.3 | GitHub advisory ↗upstream repository advisory · 13 Nov 2024 |
| piptensorflow-gpu | >= 2.6.0, < 2.6.3 | 2.6.3 | GitHub advisory ↗upstream repository advisory · 13 Nov 2024 |
| piptensorflow-gpu | = 2.7.0 | 2.7.1 | GitHub advisory ↗upstream repository advisory · 13 Nov 2024 |
High technical severity with public exploit material referenced by a structured source; prioritise exposed affected systems while verifying vendor guidance.
Patch availableTensorflow is an Open Source Machine Learning Framework. The implementation of `AssignOp` can result in copying uninitialized data to a new tensor. This later results in undefined behavior. The implementation has a check that the left hand side of the assignment is initialized (to minimize number of allocations), but does not check that the right hand side is also initialized. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.
Tensorflow is an Open Source Machine Learning Framework. The implementation of `AssignOp` can result in copying uninitialized data to a new tensor. This later results in undefined behavior. The implementation has a check that the left hand side of the assignment is initialized (to minimize number of allocations), but does not check that the right hand side is also initialized. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.
The product uses or accesses a resource that has not been initialized.
An attacker operating through a network path may attempt exploitation with low privileges. If successful, the issue may cause the confidentiality, integrity or availability impact described by the vendor.
Tensorflow is an Open Source Machine Learning Framework. The implementation of `AssignOp` can result in copying uninitialized data to a new tensor. This later results in undefined behavior. The implementation has a check that the left hand side of the assignment is initialized (to minimize number of allocations), but does not check that the right hand side is also initialized. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.
The product uses or accesses a resource that has not been initialized.
An attacker operating through a network path may attempt exploitation with low privileges. If successful, the issue may cause the confidentiality, integrity or availability impact described by the vendor.
CVSS severity, EPSS forecast probability, public exploit material and CISA-confirmed exploitation are separate signals.
No CISA KEV match was present at the last successful refresh. This means no confirmation from that source, not proof of no exploitation.
A structured CVE source labels at least one public reference as exploit material. BlackTree has not independently validated that it is safe, reliable or weaponised.
CWE-908: Use of Uninitialized Resource. The product uses or accesses a resource that has not been initialized.
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:L/A:HCommon Vulnerability Scoring System 3.1: the compact vector below is decoded into plain language.
Operational remediation based on structured source evidence.
Published 4 Feb 2022 · Last source change 22 Apr 2025, 18:24 UTC · CWE-908 · Use of Uninitialized Resource
Core structured fields are present and their contributing authorities are shown above.
No material field changes have been recorded since change tracking began. Routine source refreshes and cosmetic edits are intentionally excluded.