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Vulnerability record · public intelligence
CVE-2020-15192
MEDIUM

Memory leak in Tensorflow

Published Sep 25, 2020 · Updated Oct 23, 2026 · Also known as GHSA-8fxw-76px-3rxv, PYSEC-2020-115, PYSEC-2020-272

Severity · CVSSMEDIUM · 4.3
Known exploitationNot listed
EPSS / likelihood0.83%
QFinch risk scoreNot available

Original summary

Normalized public record · Updated Oct 23, 2026

Memory leak in Tensorflow

Publisher and source text is retained separately from QFinch interpretation.

QFinch assessment

If a user passes a list of strings to `dlpack.to_dlpack` there is a memory leak following an expected validation failure: https://github.com/tensorflow/tensorflow/blob/0e68f4d3295eb0281a517c3662f6698992b7b2cf/tensorflow/c/eager/dlpack.cc#L100-L104

Potential impact

If a user passes a list of strings to dlpack.todlpack there is a memory leak following an expected validation failure: https://github.com/tensorflow/tensorflow/blob/0e68f4d3295eb0281a517c3662f6698992b7b2cf/tensorflow/c/eager/dlpack.ccL100-L104 The allocated memory is from https://github.com/tensorflow/tensorflow/blob/0e68f4d3295eb0281a517c3662f6698992b7b2cf/tensorflow/c/eager/dlpack.ccL256 The issue occurs because the status argument during validation failures is not properly checked: https://github.com/tensorflow/tensorflow/blob/0e68f4d3295eb0281a517c3662f6698992b7b2cf/tensorflow/c/eager/dlpack.ccL265-L267 Since each of the above methods can return an error status, the status value must be checked before continuing.

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
LOW
Confidence
Not available
Aliases
GHSA-8fxw-76px-3rxv, PYSEC-2020-115, PYSEC-2020-272, PYSEC-2020-307, BIT-tensorflow-2020-15192

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

Sources and record history

  1. GitHub advisory ↗
  2. Patch commit ↗
  3. Security advisory ↗
  4. openSUSE-SU-2020:1766 ↗

Record history

Published Sep 25, 2020 · Last refreshed Oct 23, 2026