Summary
Float cast overflow undefined behavior
For more information
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Attribution
This vulnerability has been reported in #42129
Impact
When the boxes argument of tf.image.crop_and_resize has a very large value, the CPU kernel implementation receives it as a C++ nan floating point value. Attempting to operate on this is undefined behavior which later produces a segmentation fault.
CVE-2020-15266 has a CVSS score of 3.7 (Medium). The vector is network-reachable, no privileges required, and no user interaction. 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 (2.4.0); upgrading removes the vulnerable code path.
Affected versions
Security releases
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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We have patched the issue in c0319231333f0f16e1cc75ec83660b01fedd4182 and will release TensorFlow 2.4.0 containing the patch. TensorFlow nightly packages after this commit will also have the issue resolved.
Frequently Asked Questions
- What is CVE-2020-15266? CVE-2020-15266 is a medium-severity security vulnerability in tensorflow (pip), affecting versions < 2.4.0. It is fixed in 2.4.0.
- How severe is CVE-2020-15266? CVE-2020-15266 has a CVSS score of 3.7 (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-2020-15266?
tensorflow(pip) (versions < 2.4.0)tensorflow-cpu(pip) (versions < 2.4.0)tensorflow-gpu(pip) (versions < 2.4.0)
- Is there a fix for CVE-2020-15266? Yes. CVE-2020-15266 is fixed in 2.4.0. Upgrade to this version or later.
- Is CVE-2020-15266 exploitable, and should I be worried? Whether CVE-2020-15266 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-2020-15266 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-2020-15266?
- Upgrade
tensorflowto 2.4.0 or later - Upgrade
tensorflow-cputo 2.4.0 or later - Upgrade
tensorflow-gputo 2.4.0 or later
- Upgrade