Evidence used
- No CISA KEV confirmation is currently recorded.
- A structured source references public exploit or proof-of-concept material.
- EPSS is 0.95% for the current model date.
BlackTreeCVE Intelligencetensorflow · tensorflow
Official source article: GitHub GHSA-63XM-RX5P-XVQR ↗. 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 | < 1.15.4 | 1.15.4 | GitHub advisory ↗upstream repository advisory · 28 Oct 2024 |
| piptensorflow | >= 2.0.0, < 2.0.3 | 2.0.3 | GitHub advisory ↗upstream repository advisory · 28 Oct 2024 |
| piptensorflow | >= 2.1.0, < 2.1.2 | 2.1.2 | GitHub advisory ↗upstream repository advisory · 28 Oct 2024 |
| piptensorflow | = 2.2.0 | 2.2.1 | GitHub advisory ↗upstream repository advisory · 28 Oct 2024 |
| piptensorflow | = 2.3.0 | 2.3.1 | GitHub advisory ↗upstream repository advisory · 28 Oct 2024 |
| piptensorflow-cpu | < 1.15.4 | 1.15.4 | GitHub advisory ↗upstream repository advisory · 28 Oct 2024 |
| piptensorflow-cpu | >= 2.0.0, < 2.0.3 | 2.0.3 | GitHub advisory ↗upstream repository advisory · 28 Oct 2024 |
| piptensorflow-cpu | >= 2.1.0, < 2.1.2 | 2.1.2 | GitHub advisory ↗upstream repository advisory · 28 Oct 2024 |
| piptensorflow-cpu | = 2.2.0 | 2.2.1 | GitHub advisory ↗upstream repository advisory · 28 Oct 2024 |
| piptensorflow-cpu | = 2.3.0 | 2.3.1 | GitHub advisory ↗upstream repository advisory · 28 Oct 2024 |
| piptensorflow-gpu | < 1.15.4 | 1.15.4 | GitHub advisory ↗upstream repository advisory · 28 Oct 2024 |
| piptensorflow-gpu | >= 2.0.0, < 2.0.3 | 2.0.3 | GitHub advisory ↗upstream repository advisory · 28 Oct 2024 |
| piptensorflow-gpu | >= 2.1.0, < 2.1.2 | 2.1.2 | GitHub advisory ↗upstream repository advisory · 28 Oct 2024 |
| piptensorflow-gpu | = 2.2.0 | 2.2.1 | GitHub advisory ↗upstream repository advisory · 28 Oct 2024 |
| piptensorflow-gpu | = 2.3.0 | 2.3.1 | GitHub advisory ↗upstream repository advisory · 28 Oct 2024 |
High technical severity with public exploit material referenced by a structured source; prioritise exposed affected systems while verifying vendor guidance.
Patch availableIn Tensorflow before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, the implementation of `SparseFillEmptyRowsGrad` uses a double indexing pattern. It is possible for `reverse_index_map(i)` to be an index outside of bounds of `grad_values`, thus resulting in a heap buffer overflow. The issue is patched in commit 390611e0d45c5793c7066110af37c8514e6a6c54, and is released in TensorFlow versions 1.15.4, 2.0.3, 2.1.2, 2.2.1, or 2.3.1.
In Tensorflow before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, the implementation of `SparseFillEmptyRowsGrad` uses a double indexing pattern. It is possible for `reverse_index_map(i)` to be an index outside of bounds of `grad_values`, thus resulting in a heap buffer overflow. The issue is patched in commit 390611e0d45c5793c7066110af37c8514e6a6c54, and is released in TensorFlow versions 1.15.4, 2.0.3, 2.1.2, 2.2.1, or 2.3.1.
The product performs operations on a memory buffer, but it reads from or writes to a memory location outside the buffer's intended boundary. This may result in read or write operations on unexpected memory locations that could be linked to other variables, data structures, or internal program data.
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.
In Tensorflow before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, the implementation of `SparseFillEmptyRowsGrad` uses a double indexing pattern. It is possible for `reverse_index_map(i)` to be an index outside of bounds of `grad_values`, thus resulting in a heap buffer overflow. The issue is patched in commit 390611e0d45c5793c7066110af37c8514e6a6c54, and is released in TensorFlow versions 1.15.4, 2.0.3, 2.1.2, 2.2.1, or 2.3.1.
The product performs operations on a memory buffer, but it reads from or writes to a memory location outside the buffer's intended boundary. This may result in read or write operations on unexpected memory locations that could be linked to other variables, data structures, or internal program data.
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-119: Improper Restriction of Operations within the Bounds of a Memory Buffer. The product performs operations on a memory buffer, but it reads from or writes to a memory location outside the buffer's intended boundary. This may result in read or write operations on unexpected memory locations that could be linked to other variables, data structures, or internal program data.
CVSS:3.1/AV:N/AC:H/PR:L/UI:N/S:C/C:H/I:H/A:HCommon Vulnerability Scoring System 3.1: the compact vector below is decoded into plain language.
Operational remediation based on structured source evidence.
Published 25 Sept 2020 · Last source change 4 Aug 2024, 13:08 UTC · CWE-119 · Improper Restriction of Operations within the Bounds of a Memory Buffer
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.