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MEDIUM severity

CVE-2023-27506 — intel-tensorflow

MEDIUM

CVE-2023-27506 is a medium-severity (CVSS 5.5) CWE-92 vulnerability in intel-tensorflow. A fix is available for intel-tensorflow — see the affected versions and patch details below.

Authenticated Local Privilege Escalation vulnerability in Intel Optimization for Tensorflow

Also known asPYSEC-2026-1465PYSEC-2026-2523PYSEC-2026-3385
Published
Updated
Affected
3 pkgs
Patched
3 / 3
Exploits
None indexed
Exploitation data as of Nov 5, 2026 · OSV.dev, NVD, FIRST.org (EPSS)

Exploitation Status

No confirmed exploitation observed yet

  • CISA’s own triage has not observed active exploitation or public proof-of-concept code for this CVE as of its last assessment.

Exploitation and automatability from CISA’s SSVC triage for CVE-2023-27506.

EPSS Exploitation Probability

via FIRST.org ↗
0.2%probability of exploitation in next 30 days
Lower Risk0.00%
Lower risk than most CVEs5th percentile — riskier than 5% of all scored CVEsHighest risk
0.00%0.22%0.44%0.66%0.1%0.2%May 26Sep 26Nov 26

Probability of exploitation in the next 30 days, from FIRST.org EPSS.

How urgent is this, really

Where this sits among everything scored

Real-World Exposure

3 pkgs affected
🐍intel-tensorflow🐍tensorflow-intel🐍intel-tensorflow-avx512

Real-time download stats are indexed for npm and PyPI packages. This vulnerability affects PyPI packages — download data is not available via public APIs for these ecosystems.

Description

Improper buffer restrictions in the Intel(R) Optimization for Tensorflow software before version 2.12 may allow an authenticated user to potentially enable escalation of privilege via local access.

Affected Packages

3 total 3 fixed
EcosystemPackageVulnerable rangeFix
🐍PyPIintel-tensorflowall versions2.12pip install --upgrade 'intel-tensorflow==2.12'
🐍PyPItensorflow-intelall versions2.12pip install --upgrade 'tensorflow-intel==2.12'
🐍PyPIintel-tensorflow-avx512all versions2.12pip install --upgrade 'intel-tensorflow-avx512==2.12'

Affected Products

1 product · 1 configurations
Application
optimization for tensorflowintel
< 2.12
range

Detection & mitigation playbook

Open-source dependency

  1. Detect

    Scan your dependency tree (package-lock.json, pnpm-lock.yaml, requirements.txt, go.sum, etc.) for intel-tensorflow, including transitive dependencies — a direct dependency you never call can still pull in a vulnerable version.

  2. Fix

    Update intel-tensorflow to 2.12 or later, then make sure no transitive (indirect) dependency still pins the vulnerable range — O3 confirms CVE-2023-27506 is resolved across your whole dependency graph.

  3. Workarounds

    If you can't upgrade right away: gate or disable the affected feature, validate untrusted input at the boundary, and avoid passing attacker-controlled data into the vulnerable path. O3's runtime protection blocks exploitation in production as an interim safeguard until the upgrade lands.

Frequently Asked Questions

Improper buffer restrictions in the Intel(R) Optimization for Tensorflow software before version 2.12 may allow an authenticated user to potentially enable escalation of privilege via local access.
O3 Security · Impact-Aware SCA

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CVE-2023-27506: intel-tensorflow — Fixed in 2.12