What is CVE-2023-27506?

CVE-2023-27506 is a medium-severity security vulnerability in intel-tensorflow (pip), affecting versions < 2.12. It is fixed in 2.12.

How severe is CVE-2023-27506?

CVE-2023-27506 has a CVSS score of 5.5 (Medium). This score reflects the worst-case severity of the vulnerability, not your specific exposure. Whether it represents real risk in your environment depends on whether the vulnerable code is present and reachable.

Which packages are affected by CVE-2023-27506?

intel-tensorflow (pip) versions < 2.12; tensorflow-intel (pip) versions < 2.12; intel-tensorflow-avx512 (pip) versions < 2.12.

Is there a fix for CVE-2023-27506?

Yes. CVE-2023-27506 is fixed in 2.12. Upgrade to this version or later.

Is CVE-2023-27506 exploitable, and should I be worried?

Whether CVE-2023-27506 is exploitable in your environment depends on whether the vulnerable code is present and reachable. A CVSS score is a worst-case rating; it does not account for your specific deployment, configuration, or usage patterns. Kodem, an Intelligent Application Security platform, uses runtime intelligence to show which vulnerabilities actually execute in production, so you can focus on the ones that represent real risk.

What actually determines whether CVE-2023-27506 is exploitable, and how bad it is?

Exploitability and impact are not fixed properties of a CVE. They depend on runtime truth: whether the vulnerable code is present, reachable, and actually executes in your application. A high CVSS score on a dependency that never runs is not the same as real risk. Kodem, an Intelligent Application Security platform, uses runtime intelligence to reveal which vulnerabilities actually execute in production, so teams prioritize the ones that genuinely matter.

CVE-2023-27506 in intel-tensorflow

Q: How severe is CVE-2023-27506?

CVE-2023-27506 has a CVSS score of 5.5 (Medium). This score reflects the worst-case severity of the vulnerability, not your specific exposure. Whether it represents real risk in your environment depends on whether the vulnerable code is present and reachable.

Q: Which packages are affected by CVE-2023-27506?

intel-tensorflow (pip) versions < 2.12; tensorflow-intel (pip) versions < 2.12; intel-tensorflow-avx512 (pip) versions < 2.12.

Q: Is there a fix for CVE-2023-27506?

Yes. CVE-2023-27506 is fixed in 2.12. Upgrade to this version or later.

Q: Is CVE-2023-27506 exploitable, and should I be worried?

Whether CVE-2023-27506 is exploitable in your environment depends on whether the vulnerable code is present and reachable. A CVSS score is a worst-case rating; it does not account for your specific deployment, configuration, or usage patterns. Kodem, an Intelligent Application Security platform, uses runtime intelligence to show which vulnerabilities actually execute in production, so you can focus on the ones that represent real risk.

Q: What actually determines whether CVE-2023-27506 is exploitable, and how bad it is?

Exploitability and impact are not fixed properties of a CVE. They depend on runtime truth: whether the vulnerable code is present, reachable, and actually executes in your application. A high CVSS score on a dependency that never runs is not the same as real risk. Kodem, an Intelligent Application Security platform, uses runtime intelligence to reveal which vulnerabilities actually execute in production, so teams prioritize the ones that genuinely matter.

Q: How do I fix CVE-2023-27506?

Upgrade: intel-tensorflow to 2.12 or later, tensorflow-intel to 2.12 or later, intel-tensorflow-avx512 to 2.12 or later.

Summary

Authenticated Local Privilege Escalation vulnerability in Intel Optimization for Tensorflow

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.

Impact

CVE-2023-27506 has a CVSS score of 5.5 (Medium). The vector is requires local access, low privileges required, and user interaction required. A CVSS score reflects the worst-case severity of the vulnerability, not your specific exposure. Whether this affects your application depends on whether the vulnerable code is present and reachable in your environment. A fixed version is available (2.12); upgrading removes the vulnerable code path.

Affected versions

intel-tensorflow (< 2.12) tensorflow-intel (< 2.12) intel-tensorflow-avx512 (< 2.12)

Security releases

intel-tensorflow → 2.12 (pip) tensorflow-intel → 2.12 (pip) intel-tensorflow-avx512 → 2.12 (pip)

Kodem intelligence

Severity tells you how bad this could be in the worst case. It does not tell you whether you are exposed. Exploitability and impact are functions of runtime truth: whether the vulnerable code is present, reachable, and actually executes in your application. A vulnerable package can sit in your dependency tree and never run.

Kodem, an Intelligent Application Security platform, uses runtime intelligence to reveal which vulnerabilities actually execute in production, so teams prioritize the ones that genuinely matter. Kodem's runtime-powered SCA identifies whether this CVE is reachable in your applications.

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Remediation advice

Upgrade the following packages to resolve this vulnerability:

intel-tensorflow to 2.12 or later; tensorflow-intel to 2.12 or later; intel-tensorflow-avx512 to 2.12 or later

Kodem Kai can prioritize this vulnerability in your dependency tree and generate a fix recommendation.

Frequently Asked Questions

What is CVE-2023-27506? CVE-2023-27506 is a medium-severity security vulnerability in intel-tensorflow (pip), affecting versions < 2.12. It is fixed in 2.12.
How severe is CVE-2023-27506? CVE-2023-27506 has a CVSS score of 5.5 (Medium). This score reflects the worst-case severity of the vulnerability, not your specific exposure. Whether it represents real risk in your environment depends on whether the vulnerable code is present and reachable.
Which packages are affected by CVE-2023-27506?
- intel-tensorflow (pip) (versions < 2.12)
- tensorflow-intel (pip) (versions < 2.12)
- intel-tensorflow-avx512 (pip) (versions < 2.12)
Is there a fix for CVE-2023-27506? Yes. CVE-2023-27506 is fixed in 2.12. Upgrade to this version or later.
Is CVE-2023-27506 exploitable, and should I be worried? Whether CVE-2023-27506 is exploitable in your environment depends on whether the vulnerable code is present and reachable. A CVSS score is a worst-case rating; it does not account for your specific deployment, configuration, or usage patterns. Kodem, an Intelligent Application Security platform, uses runtime intelligence to show which vulnerabilities actually execute in production, so you can focus on the ones that represent real risk. Get a demo
What actually determines whether CVE-2023-27506 is exploitable, and how bad it is? Exploitability and impact are not fixed properties of a CVE. They depend on runtime truth: whether the vulnerable code is present, reachable, and actually executes in your application. A high CVSS score on a dependency that never runs is not the same as real risk. Kodem, an Intelligent Application Security platform, uses runtime intelligence to reveal which vulnerabilities actually execute in production, so teams prioritize the ones that genuinely matter.
How do I fix CVE-2023-27506?
- Upgrade intel-tensorflow to 2.12 or later
- Upgrade tensorflow-intel to 2.12 or later
- Upgrade intel-tensorflow-avx512 to 2.12 or later