Training-data substitution via abandoned S3 bucket
Published Apr 16, 2024 · Updated Aug 1, 2024
S3 bucket takeover in H2O.ai H2O-3 allows attackers to replace MNIST data retrieved by users running the deep-learning tutorial. The dlperf.Rmd tutorial hard-codes the unowned h2o-training bucket for its training and test CSV files without authenticating their source. Exploitation requires a user to execute the tutorial after the bucket is claimed, enabling substitution of arbitrary data processed by that user’s H2O session.
Summary
What happened
S3 bucket takeover in H2O.ai H2O-3 allows attackers to replace MNIST data retrieved by users running the deep-learning tutorial. The dlperf.Rmd tutorial hard-codes the unowned h2o-training bucket for its training and test CSV files without authenticating their source. Exploitation requires a user to execute the tutorial after the bucket is claimed, enabling substitution of arbitrary data processed by that user’s H2O session.
The record
- CVE
- CVE-2024-1456
- Published
- Apr 16, 2024
- Updated
- Aug 1, 2024
- Vendor
- H2O.ai
- Product
- H2O-3
- Classifications
- CWE-840, T1195.001
- Attack vector
- local
- Privileges
- unauthenticated
Timeline
How it unfolded
- Apr 16, 2024CVE publishedPublication date reported by the CVE source.
- Aug 1, 2024Record updatedLatest update available in the CVE record.
Exploitability
Present is not the same as exploitable
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Is a vulnerable build present?
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- Affected versionversion=6386
- Affected versionversion=unspecified <=latest
What conditions does exploitation require?
What is affected?
Published CVSS scores
CVSS describes severity. EPSS estimates exploitation probability.
Attacks
What attackers are doing with it
Daily unique IPs observed by Shadowserver honeypots for known exploited vulnerabilities (KEVs). Missing observations do not establish an absence of attacks.
Weakness, pattern, technique
Public exploit references
- Huntr S3 bucket takeover proof of conceptproof of concept · demonstrated
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Technologies
Your stack
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Your stack
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