CVE-2023-27506
CVE-2023-27506 is a medium-severity vulnerability in Intel Optimization For Tensorflow with a CVSS 3.x base score of 5.5. It is not currently listed as actively exploited by CISA, and its EPSS exploit-prediction score is low. The underlying weakness is classified as CWE-119.
Key facts
- Severity: Medium (CVSS 3.x base score 5.5)
- EPSS exploit prediction: 0% (5th percentile)
- Actively exploited: Not listed in CISA KEV
- Weakness: CWE-119
- Affected product: Intel Optimization For Tensorflow
- Published:
- Last modified:
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.
Frequently asked questions
- What is CVE-2023-27506?
- 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.
- How severe is CVE-2023-27506?
- CVE-2023-27506 has a CVSS 3.x base score of 5.5, rated medium severity. It is exploitable over local access with high attack complexity, requires low privileges and user interaction. Impact on confidentiality is low, integrity high, and availability low.
- Is CVE-2023-27506 being actively exploited?
- It is not currently listed in CISA's KEV catalog. Its EPSS exploit-prediction score is 0% (5th percentile), an estimate of the probability of exploitation in the next 30 days.
- What products are affected by CVE-2023-27506?
- CVE-2023-27506 affects Intel Optimization For Tensorflow. See the affected-products list for the exact vulnerable versions.
- How do I fix CVE-2023-27506?
- Review the linked vendor and NVD advisories for patched versions and mitigations, then upgrade or apply the recommended workaround.
- When was CVE-2023-27506 published?
- CVE-2023-27506 was published on 2023-08-11 and last updated on 2026-06-17.
References
Affected products (1)
- cpe:2.3:a:intel:optimization_for_tensorflow:*:*:*:*:*:*:*:*
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