CVE-2023-6038 (GCVE-0-2023-6038)
Vulnerability from cvelistv5 – Published: 2023-11-16 16:06 – Updated: 2024-08-29 14:49
VLAI
KEVIntel
Title
Local File Inclusion in h2oai/h2o-3
Summary
A Local File Inclusion (LFI) vulnerability exists in the h2o-3 REST API, allowing unauthenticated remote attackers to read arbitrary files on the server with the permissions of the user running the h2o-3 instance. This issue affects the default installation and does not require user interaction. The vulnerability can be exploited by making specific GET or POST requests to the ImportFiles and ParseSetup endpoints, respectively. This issue was identified in version 3.40.0.4 of h2o-3.
Severity
9.3 (Critical)
SSVC
Exploitation: poc
Automatable: yes
Technical Impact: partial
CISA Coordinator (v2.0.3)
CWE
- CWE-862 - Missing Authorization
Assigner
References
1 reference
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| h2oai | h2oai/h2o-3 |
Affected:
unspecified , ≤ latest
(custom)
|
KEVIntel
Known Exploited Vulnerability - GCVE BCP-07 Compliant
KEV entry ID: 400078c7-f1f2-4300-ab2c-8ede66cc8682
Exploited: Yes
Timestamps
First Seen: 2023-11-16
Asserted: 2023-11-16
Scope
Notes: KEVIntel entry: Local File Inclusion in h2oai/h2o-3 | Affected: h2oai / h2oai/h2o-3 | CVSS: 9.3 (CRITICAL) | Used in malware: unknown | Not yet in CISA KEV: True
Evidence
Type: Public Report
Signal: Successful Exploitation
Confidence: 70%
Source: kevintel
Details
| Feed | KEVIntel (kevintel.com) |
|---|---|
| Title | Local File Inclusion in h2oai/h2o-3 |
| Vendor | h2oai |
| Product | h2oai/h2o-3 |
| Added Date | 2023-11-16T16:06:43.000Z |
| Cvss Score | 9.3 |
| Epss Score | None |
| Cvss Severity | CRITICAL |
| Epss Percentile | None |
| Used In Malware | unknown |
| Ahead Of Cisa Kev | None |
| Not Yet In Cisa Kev | True |
References
Created: 2026-06-23 14:06 UTC
| Updated: 2026-06-23 14:06 UTC
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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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