CVE-2020-5215: TensorFlow segmentation fault from string to float16 conversion in eager mode
- Source
- NVD(opens in a new tab)
- Identifier
- CVE-2020-5215
- Published
- Record updated
- Affected
- tensorflow < 1.15.2, fixed in 1.15.2, released January 26, 2020, 3 days before disclosure
- tensorflow = 2.0.0, fixed in 2.0.1, released January 26, 2020, 3 days before disclosure
- tensorflow-cpu < 1.15.2, fixed in 1.15.2
- and 3 more
- Known exploitation
- Not listed in the CISA Known Exploited Vulnerabilities catalog at the last check.
- EPSS
- 0.6%
Summary
CVE-2020-5215 affects TensorFlow before 1.15.2 and 2.0.1. Converting a string from Python to a tf.float16 value causes a segmentation fault in eager mode, because the format checks exist only in graph mode. An attacker can trigger a denial of service during inference or training by supplying a string where a tf.float16 value is expected, or by replacing a scalar tf.float16 value with a scalar string in saved models and checkpoints. The issue reproduces with tf.constant("hello", tf.float16) when eager execution is enabled.
Mitigation
Patched in TensorFlow 1.15.1 and 2.0.1. TensorFlow 2.1.0 is not affected. Users are encouraged to switch to TensorFlow 1.15.1, 2.0.1 or 2.1.0.
Affected packages in the Exposure Registry
Matched by package name and ecosystem. Each entry shows whether the package delegates to a language model and how many tracked packages depend on it.
- tensorflowPyPINo LLM dependency detected · 26 tracked dependents
- tensorflow-gpuPyPINo LLM dependency detected · 2 tracked dependents
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