CVE-2022-29212Medium· 5.5▾ SunlitCore dump when loading TFLite models with quantization in TensorFlow
▾ Sunlit zone — Low / medium · no exploitation signal
impact 30.3 · likelihood 0.1 · exploitation 0
Need a working PoC? Pro members can cast a request and our team develops one — it lands right here.
Exploit-prediction probability, daily snapshots since Jul 8.
Disclosure to exploitation, from the record and what we observed since indexing it.
Disclosed via OSV
Last analysed / modified upstream
0.3%
0.3% → 0.3%
Certain TFLite models that were created using TFLite model converter would crash when loaded in the TFLite interpreter. The culprit is that during quantization the scale of values could be greater than 1 but code was always assuming sub-unit scaling.
Thus, since code was calling QuantizeMultiplierSmallerThanOneExp, the TFLITE_CHECK_LT assertion would trigger and abort the process.
We have patched the issue in GitHub commit a989426ee1346693cc015792f11d715f6944f2b8.
The fix will be included in TensorFlow 2.9.0. We will also cherrypick this commit on TensorFlow 2.8.1, TensorFlow 2.7.2, and TensorFlow 2.6.4, as these are also affected and still in supported range.
Please consult our security guide for more information regarding the security model and how to contact us with issues and questions.
This vulnerability has been reported externally via a GitHub issue.
tensorflow < 2.6.4tensorflow >= 2.7.0, < 2.7.2tensorflow >= 2.8.0, < 2.8.1tensorflow-cpu < 2.6.4tensorflow-cpu >= 2.7.0, < 2.7.2tensorflow-cpu >= 2.8.0, < 2.8.1tensorflow-gpu < 2.6.4tensorflow-gpu >= 2.7.0, < 2.7.2tensorflow-gpu >= 2.8.0, < 2.8.1Upgrade to a patched release:
tensorflow 2.6.4tensorflow 2.7.2tensorflow 2.8.1tensorflow-cpu 2.6.4tensorflow-cpu 2.7.2tensorflow-cpu 2.8.1tensorflow-gpu 2.6.4tensorflow-gpu 2.7.2tensorflow-gpu 2.8.1Connected by shared product, vendor, weakness, or advisory.
CVE-2021-29541Low· 2.5Null pointer dereference in `StringNGrams`
CVE-2021-29525Low· 2.5Division by 0 in `Conv2DBackpropInput`
CVE-2021-29527Low· 2.5Division by 0 in `QuantizedConv2D`
CVE-2021-29524Low· 2.5Division by 0 in `Conv2DBackpropFilter`
CVE-2020-15207High· 8.7Segfault and data corruption in tensorflow-lite
CVE-2021-29535Low· 2.5Heap buffer overflow in `QuantizedMul`