CVE-2021-29535

Heap buffer overflow in `QuantizedMul`

HIGH

7.8

CVSS Score

Published: May 14, 2021 at 07:11 PM UTC

Updated: June 17, 2026 at 03:47 AM UTC

2 products affected across 2 vendorsTensorflowTensorFlow

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Severity

HIGH7.8

Exploit prediction

EPSS 0.2%

Description

TensorFlow is an end-to-end open source platform for machine learning. An attacker can cause a heap buffer overflow in `QuantizedMul` by passing in invalid thresholds for the quantization. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/87cf4d3ea9949051e50ca3f071fc909538a51cd0/tensorflow/core/kernels/quantized_mul_op.cc#L287-L290) assumes that the 4 arguments are always valid scalars and tries to access the numeric value directly. However, if any of these tensors is empty, then `.flat<T>()` is an empty buffer and accessing the element at position 0 results in overflow. 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/efea03b38fb8d3b81762237dc85e579cc5fc6e87

x_refsource_CONFIRMExploitPatchThird Party Advisory

Source: [email protected]

https://github.com/tensorflow/tensorflow/security/advisories/GHSA-m3f9-w3p3-p669

CVSS

7.8HIGH[email protected]

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

Vector?

Quick Info

StatusMODIFIED

CWE

CWE-131CWE-787

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