CVE-2026-54499 Stanza: Remote Code Execution via Unsafe Pickle Deserialization in Model Loaders

High 7.5 Published Updated

Attackers can execute arbitrary code by providing malicious model files to Stanza NLP pipelines due to unsafe pickle deserialization fallbacks.

Exploited in the wild
Not known
Login needed
Not needed
Attackable
Over the internet
Victim action needed
A user has to click or open something
Fix
Available

What is CVE-2026-54499?

CVE-2026-54499 is a high-severity unsafe deserialization vulnerability in stanfordnlp stanza, published on 8 Jul 2026. An attacker can exploit it over the internet without logging in, and only if a user opens a file or follows a link.

Official description

Stanza is a Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages. Prior to 1.12.2, Stanza model loaders such as stanza.models.common.pretrain.Pretrain.load() attempt torch.load(..., weights_only=True) but fall back to torch.load(..., weights_only=False) on attacker-controllable pickle.UnpicklingError, allowing a malicious .pt pretrain or model file to execute arbitrary pickle code when a Stanza NLP pipeline loads it. This issue is fixed in version 1.12.2.

Weakness: CWE-676, CWE-502

Which versions are affected by CVE-2026-54499?

3 open source packages ship an affected version, including stanza. It affects 1 product.

PackageAffectedFixed in
stanza PyPIAll versions1.12.2
stanza PyPIAll versions1.12.2
stanza PyPIAll versions1.12.2

Products include Stanford Stanza.

How do I fix CVE-2026-54499?

Upgrade stanza to 1.12.2 or later.

Upgrade, and only deserialise data from trusted sources or with an allow-list of types. More about Unsafe deserialization.

Is CVE-2026-54499 being exploited?

It is not confirmed as exploited in the wild, but public exploit code for CVE-2026-54499 exists.

Sources

Also known as GHSA-v5jw-96jm-7h2c, PYSEC-2026-3075.

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