CVE-2021-29601

Integer overflow in TFLite concatentation

HIGH

7.1

CVSS Score

Published: May 14, 2021 at 07:21 PM UTC

Updated: June 17, 2026 at 03:48 AM UTC

2 products affected across 2 vendorsTensorflowTensorFlow

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Severity

HIGH7.1

Exploit prediction

EPSS 0.2%

Description

TensorFlow is an end-to-end open source platform for machine learning. The TFLite implementation of concatenation is vulnerable to an integer overflow issue(https://github.com/tensorflow/tensorflow/blob/7b7352a724b690b11bfaae2cd54bc3907daf6285/tensorflow/lite/kernels/concatenation.cc#L70-L76). An attacker can craft a model such that the dimensions of one of the concatenation input overflow the values of `int`. TFLite uses `int` to represent tensor dimensions, whereas TF uses `int64`. Hence, valid TF models can trigger an integer overflow when converted to TFLite format. 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.

Affected

Our own answer: ranges merged, affected separated from platform-only, with confidence and review flags.

Tensorflow · Google

95%

v < 2.1.42.2.0 ≤ v < 2.2.32.3.0 ≤ v < 2.3.32.4.0 ≤ v < 2.4.2

Affected range stops below 2.1.4, so it looks safe — our inference, not a vendor statement

Affected range stops below 2.2.3, so it looks safe — our inference, not a vendor statement

Affected range stops below 2.3.3, so it looks safe — our inference, not a vendor statement

Affected range stops below 2.4.2, so it looks safe — our inference, not a vendor statement

TensorFlow · Tensorflow

60%

v < 2.1.4v < 2.2.3v < 2.3.3v < 2.4.2

Affected range stops below 2.1.4, so it looks safe — our inference, not a vendor statement

Affected range stops below 2.2.3, so it looks safe — our inference, not a vendor statement

Affected range stops below 2.3.3, so it looks safe — our inference, not a vendor statement

Affected range stops below 2.4.2, so it looks safe — our inference, not a vendor statement

Remediation

No guide yet

No remediation guidance has been written for this CVE yet. What the record does show:

Patch and advisory references

References (2)

x_refsource_MISCPatchThird Party Advisory

Source: [email protected]

https://github.com/tensorflow/tensorflow/commit/4253f96a58486ffe84b61c0415bb234a4632ee73

x_refsource_CONFIRMExploitPatchThird Party Advisory

Source: [email protected]

https://github.com/tensorflow/tensorflow/security/advisories/GHSA-9c84-4hx6-xmm4

CVSS

7.1HIGH[email protected]

Attack Vector: LOCAL
Complexity: LOW
Privileges: LOW
User Interaction: NONE
Scope: UNCHANGED
Confidentiality: NONE
Integrity: HIGH
Availability: HIGH

Vector?

Quick Info

StatusMODIFIED

CWE

CWE-190

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