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Vulnerability record · public intelligence
CVE-2023-25668
CRITICAL

TensorFlow has a heap out-of-buffer read vulnerability in the QuantizeAndDequantize operation

Published Mar 24, 2023 · Updated Oct 23, 2026 · Also known as BIT-tensorflow-2023-25668, GHSA-gw97-ff7c-9v96, PYSEC-2026-549

Severity · CVSSCRITICAL · 9.8
Known exploitationNot listed
EPSS / likelihood0.84%
QFinch risk score20 / 100

Original summary

Normalized public record · Updated Oct 23, 2026

TensorFlow has a heap out-of-buffer read vulnerability in the QuantizeAndDequantize operation

Publisher and source text is retained separately from QFinch interpretation.

QFinch assessment

Attackers using Tensorflow can exploit the vulnerability. They can access heap memory which is not in the control of user, leading to a crash or RCE. When axis is larger than the dim of input, c->Dim(input,axis) goes out of bound. Same problem occurs in the QuantizeAndDequantizeV2/V3/V4/V4Grad operations too.

Potential impact

Attackers using Tensorflow can exploit the vulnerability. They can access heap memory which is not in the control of user, leading to a crash or RCE. When axis is larger than the dim of input, c->Dim(input,axis) goes out of bound. Same problem occurs in the QuantizeAndDequantizeV2/V3/V4/V4Grad operations too.

Evidence: public source records

Affected products

Affected scope reported by the available public evidence
Affected package, product or rangeFix status
Consult the referenced vendor advisory for affected versions.Consult source advisory

Matching a version is only one part of assessing exposure. QFinch has not assessed your environment on this public page.

Remediation

Apply the vendor-supported fixed release or mitigation, then verify the affected component is no longer reachable.

  1. Confirm the affected product and reachable code path exist in your environment.
  2. Apply the vendor-supported patch or mitigation from the primary advisory.
  3. Rescan the exact deployed revision and retain verification evidence.
Review primary references

Evidence coverage

CVENVDOSVEPSSGHSA
SSVC priority
MEDIUM
Confidence
20%
Aliases
BIT-tensorflow-2023-25668, GHSA-gw97-ff7c-9v96, PYSEC-2026-549, PYSEC-2026-550, PYSEC-2026-548

Scores appear only when corresponding evidence exists. Missing data is never interpreted as zero risk.

Sources and record history

  1. Security advisory ↗
  2. Patch commit ↗

Record history

Published Mar 24, 2023 · Last refreshed Oct 23, 2026