HighVulnerability

CVE-2024-34072: sagemaker-python-sdk unsafe deserialization of pickled numpy object arrays

Source: NVD(opens in a new tab)
Identifier: CVE-2024-34072
Published: May 3, 2024
Record updated: October 9, 2026

Affected: sagemaker < 2.218.0
Fixed in: 2.218.0
released May 1, 2024, 2 days before disclosure
Known exploitation: Not listed in the CISA Known Exploited Vulnerabilities catalog at the last check.
EPSS: 0.4%

Summary

The sagemaker.base_deserializers.NumpyDeserializer module in sagemaker-python-sdk before v2.218.0 performs unsafe deserialization when untrusted data is passed as pickled object arrays. An unprivileged third party may exploit this to cause remote code execution or denial of service, affecting confidentiality and integrity.

Mitigation

Upgrade to version 2.218.0. Users unable to upgrade should not pass pickled numpy object arrays that originated from an untrusted source or could have been tampered with, and should only pass pickled numpy object arrays from trusted sources.

Details

Scores and exploitation

CVSS score: 7.8(high)
Patch available: Yes
EPSS: 0.4%Estimated probability that this CVE is exploited in the next 30 days, from the FIRST Exploit Prediction Scoring System. Read on November 4, 2026.

Weaknesses and techniques

Weakness (CWE): CWE-502
Attack pattern (CAPEC): CAPEC-586
AI threat technique (MITRE ATLAS): AML.T0010

Affected

Packages: sagemaker@< 2.218.0 (fixed: 2.218.0)
Vendors: Amazon

Classification

Attack type: Supply chain
Attack sophistication: Moderate
AI component targeted: API
Impact: Confidentiality,
Integrity,
Availability
Labels: security

How this record was produced

Summaries, mitigations and labels on this page are generated automatically from the source. The linked source is authoritative. The source gives this advisory a description and no title, so the title above is a headline generated from the source text.

Original source: https://nvd.nist.gov/vuln/detail/CVE-2024-34072

First tracked: February 15, 2026 at 08:53 PM ET, from NVD/CVE Database

Classifier: claude-haiku-5-5, prompt v4

Classifier confidence: 95% (self-assessed)

Affected packages in the Exposure Registry

Matched by package name and ecosystem. Each entry shows whether the package delegates to a language model and how many tracked packages depend on it.

sagemakerPyPIReaches an LLM package through dependencies · 3 tracked dependents

Summary

Mitigation

Affected packages in the Exposure Registry

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