CVE-2024-34072

highPriorität · verfolgen · 0EPSS 0.004 · 35. PerzentilEUUS
grimoire priorityP2 · Scheduled
Exploitable?
—
no known exploitation
Likely / severe?
0.41% (35th) EPSS
CVSS 7.8 · high
Is it mine?
2 products
Prüfe deine Angriffsfläche
Who says so?
3 sources
cnnvd · enisa_euvd · osv

EPSS · bewertet 2026-10-28

sagemaker-python-sdk is a library for training and deploying machine learning models on Amazon SageMaker. The sagemaker.base_deserializers.NumpyDeserializer module before v2.218.0 allows potentially unsafe deserialization when untrusted data is passed as pickled object arrays. This consequently may allow an unprivileged third party to cause remote code execution, denial of service, affecting both confidentiality and integrity. Users are advised to upgrade to version 2.218.0. Users unable to upgrade should not pass pickled numpy object arrays which originated from an untrusted source, or that could have been tampered with. Only pass pickled numpy object arrays from trusted sources.

01

cvss

Technischer Schweregrad, 0–10. Eine Zeile je Quelle.

7.8
010

Basiswert 0–10 · höher = schwerwiegender · Vektor überfahren zum Auflösen

v3.17.8highCVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:Hsecondary · ENISA EU
v3.17.8highCVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:Hsecondary · security-advisories@github.comAusnutzbarkeit 1.8 · Auswirkung 5.9
v3.17.8highCVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:Hsecondary · OSV
v3.17.1highCVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H/E:Usecondary · CVSS-BT (t0sche)
02

SSVC

Eine Handlungsentscheidung — aus Ausnutzung und Auswirkung.

Exploitation: none · Automatable: no · Technical Impact: totalcoordinatorcisa_ssvcUS
03

schwächen

Die CWE-Schwächeklassen, zu denen dies gehört.

04

betroffene Produkte (2)

Betroffene Produkte und Versionsbereiche.

05

Advisories (2)

Hersteller- und Ökosystem-Meldungen dazu.

  • GHSA-wjvx-jhpj-r54rsagemaker-python-sdk vulnerable to Deserialization of Untrusted Data2024-05-03ghsa · osvUS

    ### Impact sagemaker.base_deserializers.NumpyDeserializer module before v2.218.0 allows potentially unsafe deserialization when untrusted data is passed as pickled object arrays. This consequently may allow an unprivileged third party to cause remote code execution, denial of service, affecting both confidentiality and integrity. Impacted versions: <2.218.0. ### Credit We would like to thank HiddenLayer for collaborating on this issue through the coordinated vulnerability disclosure process. ### Workarounds Do not pass pickled numpy object arrays which originated from an untrusted source, or that could have been tampered with. Only pass pickled numpy object arrays from sources you trust. ### References If you have any questions or comments about this advisory we ask that you contact AWS/Amazon Security via our vulnerability reporting page [1] or directly via email to [aws-security@amazon.com](mailto:aws-security@amazon.com). Please do not create a public GitHub issue. [1] Vulnerability reporting page: https://aws.amazon.com/security/vulnerability-reporting Fixed by: [https://github.com/aws/sagemaker-python-sdk/pull/4557](https://github.com/aws/sagemaker-python-sdk/pull/4557)

  • PYSEC-2026-1889sagemaker-python-sdk vulnerable to Deserialization of Untrusted Data2026-07-07vendor · osvUS

    ### Impact sagemaker.base_deserializers.NumpyDeserializer module before v2.218.0 allows potentially unsafe deserialization when untrusted data is passed as pickled object arrays. This consequently may allow an unprivileged third party to cause remote code execution, denial of service, affecting both confidentiality and integrity. Impacted versions: <2.218.0. ### Credit We would like to thank HiddenLayer for collaborating on this issue through the coordinated vulnerability disclosure process. ### Workarounds Do not pass pickled numpy object arrays which originated from an untrusted source, or that could have been tampered with. Only pass pickled numpy object arrays from sources you trust. ### References If you have any questions or comments about this advisory we ask that you contact AWS/Amazon Security via our vulnerability reporting page [1] or directly via email to [aws-security@amazon.com](mailto:aws-security@amazon.com). Please do not create a public GitHub issue. [1] Vulnerability reporting page: https://aws.amazon.com/security/vulnerability-reporting Fixed by: [https://github.com/aws/sagemaker-python-sdk/pull/4557](https://github.com/aws/sagemaker-python-sdk/pull/4557)

06

auch bekannt als (6)

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07

quellen

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veröffentlicht 2024-05-03geändert 2026-06-17
08

Referenzen (7)

Externe Belege — Patches, Meldungen, Analysen.

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