How severe is CVE-2026-31224?

CVE-2026-31224 has a CVSS 3.x base score of 8.8, rated high severity. It is exploitable over network with low attack complexity, requires no privileges and user interaction. Impact on confidentiality is high, integrity high, and availability high.

Is CVE-2026-31224 being actively exploited?

It is not currently listed in CISA's KEV catalog. Its EPSS exploit-prediction score is 0% (31st percentile), an estimate of the probability of exploitation in the next 30 days.

What products are affected by CVE-2026-31224?

CVE-2026-31224 affects Snorkel. See the affected-products list for the exact vulnerable versions.

How do I fix CVE-2026-31224?

Review the linked vendor and NVD advisories for patched versions and mitigations, then upgrade or apply the recommended workaround. Given its high severity, prioritise patching exposed systems.

Does CVE-2026-31224 have an EU (EUVD) identifier?

Yes. CVE-2026-31224 is tracked in the ENISA EU Vulnerability Database (EUVD) as EUVD-2026-29508.

When was CVE-2026-31224 published?

CVE-2026-31224 was published on 2026-05-12 and last updated on 2026-06-17.

CVE-2026-31224

CVE-2026-31224 is a high-severity vulnerability in Snorkel with a CVSS 3.x base score of 8.8. It is not currently listed as actively exploited by CISA, and its EPSS exploit-prediction score is low. The underlying weakness is classified as CWE-502.

Key facts

Severity: High (CVSS 3.x base score 8.8)
EPSS exploit prediction: 0% (31st percentile)
Actively exploited: Not listed in CISA KEV
EU (EUVD) id: EUVD-2026-29508
Weakness: CWE-502
Affected product: Snorkel
Published: 2026-05-12
Last modified: 2026-06-17

Description

The snorkel library thru v0.10.0 contains an insecure deserialization vulnerability (CWE-502) in the MultitaskClassifier.load() method of the MultitaskClassifier class. The method loads model weight files using torch.load() without enabling the security-restrictive weights_only=True parameter. This default behavior allows the deserialization of arbitrary Python objects via the Pickle module. A remote attacker can exploit this by providing a maliciously crafted model file, leading to arbitrary code execution on the victim's system when the file is loaded via the vulnerable method.

Frequently asked questions

What is CVE-2026-31224?: The snorkel library thru v0.10.0 contains an insecure deserialization vulnerability (CWE-502) in the MultitaskClassifier.load() method of the MultitaskClassifier class. The method loads model weight files using torch.load() without enabling the security-restrictive weights_only=True parameter. This default behavior allows the deserialization of arbitrary Python objects via the Pickle module. A remote attacker can exploit this by providing a maliciously crafted model file, leading to arbitrary code execution on the victim's system when the file is loaded via the vulnerable method.
How severe is CVE-2026-31224?: CVE-2026-31224 has a CVSS 3.x base score of 8.8, rated high severity. It is exploitable over network with low attack complexity, requires no privileges and user interaction. Impact on confidentiality is high, integrity high, and availability high.
Is CVE-2026-31224 being actively exploited?: It is not currently listed in CISA's KEV catalog. Its EPSS exploit-prediction score is 0% (31st percentile), an estimate of the probability of exploitation in the next 30 days.
What products are affected by CVE-2026-31224?: CVE-2026-31224 affects Snorkel. See the affected-products list for the exact vulnerable versions.
How do I fix CVE-2026-31224?: Review the linked vendor and NVD advisories for patched versions and mitigations, then upgrade or apply the recommended workaround. Given its high severity, prioritise patching exposed systems.
Does CVE-2026-31224 have an EU (EUVD) identifier?: Yes. CVE-2026-31224 is tracked in the ENISA EU Vulnerability Database (EUVD) as EUVD-2026-29508.
When was CVE-2026-31224 published?: CVE-2026-31224 was published on 2026-05-12 and last updated on 2026-06-17.

References

Affected products (1)

cpe:2.3:a:snorkel:snorkel:*:*:*:*:*:*:*:*

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