CVE-2026-1462: A vulnerability in the `TFSMLayer` class of the `keras` package, version 3.13.0, allows attacker-controlled Te

This month

HIGH 7.8WATCHLISTDOWNGRADEUPGRADE

CVE-2026-1462 is a high-severity flaw (CVSS 7.8) affecting keras, openshift ai. Below: why it ranks where it does, which versions are affected, what to do, and the exact commands.

A vulnerability in the `TFSMLayer` class of the `keras` package, version 3.13.0, allows attacker-controlled TensorFlow SavedModels to be loaded during deserialization of `.keras` models, even when `safe_mode=True`. This bypasses the security guarantees of `safe_mode` and enables arbitrary attacker-controlled code execution during model inference under the victim's privileges. The issue arises due to the unconditional loading of external SavedMode

Why this priority

High severity
Public exploit reference
On your watchlist

A fixed release or distro patch exists.

Risk facts

CVSS score	7.8 (High)
Attack vector	Local
Attack complexity	Low
Privileges needed	None
User interaction	Required
EPSS exploit chance	0.4% (top 65%)
CISA exploited list	No
Weakness	CWE-502
Published	2026-04-13
Last modified	2026-07-15

Publisher (CNA): huntr.dev · Vendor: keras · redhat

Last updated 2026-07-15 · Sources: CVE Program, NVD, CISA KEV, EPSS and vendor advisories · How we score

Am I affected?

Timeline

2026-04-13 15:17 UTCPublished CVE record published
2026-07-15 02:18 UTCUpdated Record last modified

keras keras DOWNGRADE

Affected: 3.13.0

Fixed in: no fixed release known

Safe to downgrade to: a release before 3.13.0

1. Check installed version

apt-cache policy keras || rpm -q keras || keras --version

2. No fixed release: DOWNGRADE to a release before 3.13.0 (Debian / Ubuntu)

apt-cache madison keras sudo apt install keras=<VERSION_BEFORE_3.13.0> sudo apt-mark hold keras

2. No fixed release: DOWNGRADE (RHEL / Amazon Linux / Fedora)

dnf --showduplicates list keras sudo dnf downgrade keras-<VERSION_BEFORE_3.13.0> sudo dnf versionlock add keras

Downgrade risk

Downgrading can break dependent software and may reopen older bugs. Read the distro advisory first and test on a non-production host.

After downgrade

Restart the service, and keep the package held until a fixed release ships.

redhat openshift ai UPGRADE

Affected: >= 2.25 and < 2.25.7

Fixed in: 2.25.7

Safe to downgrade to: a release before 2.25

1. Check installed version

apt-cache policy openshift-ai || rpm -q openshift-ai || openshift-ai --version

2. UPGRADE to 2.25.7 (Debian / Ubuntu)

sudo apt update && sudo apt install --only-upgrade openshift-ai

2. UPGRADE (RHEL / Amazon Linux / Fedora)

sudo dnf upgrade openshift-ai

Note

Distros often backport fixes without changing the version number. Confirm with the distro advisory or changelog.

3. If no update is available yet, DOWNGRADE to a release before 2.25 (Debian / Ubuntu)

apt-cache madison openshift-ai sudo apt install openshift-ai=<VERSION_BEFORE_2.25> sudo apt-mark hold openshift-ai

3. If no update is available yet, DOWNGRADE (RHEL / Amazon Linux / Fedora)

dnf --showduplicates list openshift-ai sudo dnf downgrade openshift-ai-<VERSION_BEFORE_2.25> sudo dnf versionlock add openshift-ai

Downgrade risk

Downgrading can break dependent software and may reopen older bugs. Read the distro advisory first and test on a non-production host.

After downgrade

Restart the service, and keep the package held until a fixed release ships.

Verify at the official source NVD · CVE Program · Report a problem with this page
Scores and fixes here are computed automatically from those and other public sources. Confirm with the vendor advisory before changing production systems.

Quick answers

How do I fix CVE-2026-1462?

keras: downgrade or apply the listed mitigation; openshift ai: upgrade to 2.25.7. Exact commands for each OS are on this page.

Is CVE-2026-1462 being exploited?

CVE-2026-1462 is not on the CISA Known Exploited Vulnerabilities list at the time of the last update. Check again, as this can change.

What does CVE-2026-1462 affect?

CVE-2026-1462 affects keras, openshift ai. Severity is high (CVSS 7.8). A vulnerability in the `TFSMLayer` class of the `keras` package, version 3.13.0, allows attacker-controlled TensorFlow SavedModels to be loaded during deserialization of `.keras` models, even when `safe_mode=True`. This bypasses the securit

How urgent is CVE-2026-1462?

Priority 46/100. High severity; Public exploit reference; On your watchlist

Software pages

TensorFlow vulnerabilities · Red Hat OpenShift vulnerabilities

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References

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