HighVulnerability
CVE-2022-23558: Tensorflow integer overflow in TfLiteIntArrayCreate via crafted TFLite model
- Source
- NVD(opens in a new tab)
- Identifier
- CVE-2022-23558
- Published
- Record updated
- Affected
- tensorflow < 2.5.3, fixed in 2.5.3, released February 2, 2022, 3 days before disclosure
- tensorflow >= 2.6.0, < 2.6.3, fixed in 2.6.3, released February 2, 2022, 3 days before disclosure
- tensorflow = 2.7.0, fixed in 2.7.1, released February 2, 2022, 3 days before disclosure
- and 6 more
- Known exploitation
- Not listed in the CISA Known Exploited Vulnerabilities catalog at the last check.
- EPSS
- 0.8%
Summary
CVE-2022-23558 affects TensorFlow's TFLite runtime. An attacker can craft a TFLite model so that an integer overflow occurs in `TfLiteIntArrayCreate`, because `TfLiteIntArrayGetSizeInBytes` returns an `int` instead of a `size_t`. The fix is included in TensorFlow 2.8.0, with cherry-picks to TensorFlow 2.7.1, 2.6.3 and 2.5.3, which the source says are also affected and still in supported range.
Mitigation
Fixed in TensorFlow 2.8.0. Cherry-picked fixes are also provided for TensorFlow 2.7.1, 2.6.3 and 2.5.3.
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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