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GHSA-h4pc-gx2w-f2xv

HighCVSS 7.1 / 10
Published May 21, 2021·Last modified Mar 13, 2026
Affected Components(0)

No affected components available

Description

Impact

A specially crafted TFLite model could trigger an OOB read on heap in the TFLite implementation of Split_V:

const int input_size = SizeOfDimension(input, axis_value);

If axis_value is not a value between 0 and NumDimensions(input), then the SizeOfDimension function will access data outside the bounds of the tensor shape array:

inline int SizeOfDimension(const TfLiteTensor* t, int dim) {
  return t->dims->data[dim];
}

Patches

We have patched the issue in GitHub commit ae2daeb45abfe2c6dda539cf8d0d6f653d3ef412.

The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, as these are also affected and still in supported range.

For more information

Please consult our security guide for more information regarding the security model and how to contact us with issues and questions.

Attribution

This vulnerability has been reported by members of the Aivul Team from Qihoo 360.

Risk Scores
Base Score
7.1

The vulnerability requires local access to the device to be exploited. It is easy for an attacker to exploit this vulnerability. An attacker needs basic access or low-level privileges. No user interaction is needed for the attacker to exploit this vulnerability. The impact is confined to the system where the vulnerability exists. There is a high impact on the integrity of the data. There is a high impact on the availability of the system.

Threat Intelligence
6.5

Exploitation attempts have been detected. Elevated vigilance and prompt remediation are advised.

EPSS
0.21%

The exploit probability is very low. The vulnerability is unlikely to be exploited in the next 30 days.

Exploit
Not available

We did not find any exploit available. Neither in GitHub repositories nor in the Exploit-Database.

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High severity
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