CVE-2026-63239 (GCVE-0-2026-63239)
Vulnerability from cvelistv5 – Published: 2026-07-29 06:28 – Updated: 2026-07-29 14:24
VLAI
EPSS
VEX
Title
Hard-coded AWS IAM credentials vulnerability
Summary
A hard-coded AWS IAM credentials vulnerability
in Koollab LMS allowed
an attacker to access shared multi-tenant S3 buckets and SQS queues, exposing
sensitive data and enabling malicious content injection, job manipulation, or
email interception.
Severity
5.4 (Medium)
SSVC
Exploitation: none
Automatable: no
Technical Impact: partial
CISA Coordinator (v2.0.3)
CWE
- CWE-798 - Use of Hard-coded Credentials
Assigner
References
1 reference
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| Three Learning | Koollab LMS |
Affected:
5.3.2
|
Date Public
2026-07-29 06:07
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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.
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