GHSA-8H3J-F7JX-H7FQ
Vulnerability from github – Published: 2025-05-02 21:30 – Updated: 2025-05-02 21:30
VLAI
Details
A vulnerability in the S3 bucket configuration for h2oai/h2o-3 allows public write access to the 'h2o-release' bucket. This issue affects all versions and could enable an attacker to overwrite any file in the bucket. As users download binary files such as JARs from this bucket, this vulnerability could lead to remote code execution (RCE) on any user who uses the application. Additionally, an attacker could modify the documentation to include malicious download links.
Severity
10.0 (Critical)
{
"affected": [],
"aliases": [
"CVE-2025-0782"
],
"database_specific": {
"cwe_ids": [
"CWE-862"
],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2025-05-02T21:15:23Z",
"severity": "CRITICAL"
},
"details": "A vulnerability in the S3 bucket configuration for h2oai/h2o-3 allows public write access to the \u0027h2o-release\u0027 bucket. This issue affects all versions and could enable an attacker to overwrite any file in the bucket. As users download binary files such as JARs from this bucket, this vulnerability could lead to remote code execution (RCE) on any user who uses the application. Additionally, an attacker could modify the documentation to include malicious download links.",
"id": "GHSA-8h3j-f7jx-h7fq",
"modified": "2025-05-02T21:30:43Z",
"published": "2025-05-02T21:30:43Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2025-0782"
},
{
"type": "WEB",
"url": "https://github.com/h2oai/h2o-3/commit/6740655b70cef40ec67d952bee2d23f7d33c7419"
},
{
"type": "WEB",
"url": "https://huntr.com/bounties/4587cec7-8bc5-48ab-8614-105d41c99151"
}
],
"schema_version": "1.4.0",
"severity": [
{
"score": "CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:C/C:H/I:H/A:N",
"type": "CVSS_V3"
}
]
}
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Experimental. This forecast is provided for visualization only and may change without notice. Do not use it for operational decisions.
Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.
Sightings
| Author | Source | Type | Date | Other |
|---|
Nomenclature
- Seen: The vulnerability was mentioned, discussed, or observed by the user.
- Confirmed: The vulnerability has been validated from an analyst's perspective.
- Published Proof of Concept: A public proof of concept is available for this vulnerability.
- Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
- Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
- Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
- Not confirmed: The user expressed doubt about the validity of the vulnerability.
- Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.
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The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the
vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base
model, served locally by ML-Gateway.
They have not been verified by an analyst and are provided for guidance only.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
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Related by attack behaviour
Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.
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