Evidence used
- No CISA KEV confirmation is currently recorded.
- Exploitation requires an existing local or physical foothold with privileges.
- EPSS is 0.24% for the current model date.
BlackTreeCVE Intelligencetensorflow · tensorflow
Official source article: GitHub GHSA-H67M-XG8F-FXCF ↗. Check the applicable product and release in the original source.
Medium technical severity with no CISA KEV confirmation; remediate through the normal risk-based patch cycle unless local exposure raises the priority.
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 7 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 7 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 | >= 2.6.0, < 2.6.1 | 2.6.1 | GitHub advisory ↗upstream repository advisory · 7 Nov 2024 |
| piptensorflow | >= 2.5.0, < 2.5.2 | 2.5.2 | GitHub advisory ↗upstream repository advisory · 7 Nov 2024 |
| piptensorflow | < 2.4.4 | 2.4.4 | GitHub advisory ↗upstream repository advisory · 7 Nov 2024 |
| piptensorflow-cpu | >= 2.6.0, < 2.6.1 | 2.6.1 | GitHub advisory ↗upstream repository advisory · 7 Nov 2024 |
| piptensorflow-cpu | >= 2.5.0, < 2.5.2 | 2.5.2 | GitHub advisory ↗upstream repository advisory · 7 Nov 2024 |
| piptensorflow-cpu | < 2.4.4 | 2.4.4 | GitHub advisory ↗upstream repository advisory · 7 Nov 2024 |
| piptensorflow-gpu | >= 2.6.0, < 2.6.1 | 2.6.1 | GitHub advisory ↗upstream repository advisory · 7 Nov 2024 |
| piptensorflow-gpu | >= 2.5.0, < 2.5.2 | 2.5.2 | GitHub advisory ↗upstream repository advisory · 7 Nov 2024 |
| piptensorflow-gpu | < 2.4.4 | 2.4.4 | GitHub advisory ↗upstream repository advisory · 7 Nov 2024 |
Medium technical severity with no CISA KEV confirmation; remediate through the normal risk-based patch cycle unless local exposure raises the priority.
Patch availableTensorFlow is an open source platform for machine learning. In affected versions the code behind `tf.function` API can be made to deadlock when two `tf.function` decorated Python functions are mutually recursive. This occurs due to using a non-reentrant `Lock` Python object. Loading any model which contains mutually recursive functions is vulnerable. An attacker can cause denial of service by causing users to load such models and calling a recursive `tf.function`, although this is not a frequent scenario. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range.
TensorFlow is an open source platform for machine learning. In affected versions the code behind `tf.function` API can be made to deadlock when two `tf.function` decorated Python functions are mutually recursive. This occurs due to using a non-reentrant `Lock` Python object. Loading any model which contains mutually recursive functions is vulnerable. An attacker can cause denial of service by causing users to load such models and calling a recursive `tf.function`, although this is not a frequent scenario. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range.
The product does not properly acquire or release a lock on a resource, leading to unexpected resource state changes and behaviors.
An attacker operating through local access may attempt exploitation with low privileges. If successful, the issue may disrupt the affected service.
TensorFlow is an open source platform for machine learning. In affected versions the code behind `tf.function` API can be made to deadlock when two `tf.function` decorated Python functions are mutually recursive. This occurs due to using a non-reentrant `Lock` Python object. Loading any model which contains mutually recursive functions is vulnerable. An attacker can cause denial of service by causing users to load such models and calling a recursive `tf.function`, although this is not a frequent scenario. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range.
The product does not properly acquire or release a lock on a resource, leading to unexpected resource state changes and behaviors.
An attacker operating through local access may attempt exploitation with low privileges. If successful, the issue may disrupt the affected service.
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.
No exploit-tagged reference or CISA SSVC proof-of-concept state is currently recorded. Research may still exist outside the structured feeds.
CWE-667: Improper Locking. The product does not properly acquire or release a lock on a resource, leading to unexpected resource state changes and behaviors.
CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:HCommon Vulnerability Scoring System 3.1: the compact vector below is decoded into plain language.
Operational remediation based on structured source evidence.
Published 5 Nov 2021 · Last source change 4 Aug 2024, 03:08 UTC · CWE-667 · Improper Locking
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.