CVE-2024-48944 (GCVE-0-2024-48944)
Vulnerability from cvelistv5 – Published: 2025-03-27 15:05 – Updated: 2025-05-08 10:26
VLAI
EPSS
VEX
Title
Apache Kylin: SSRF vulnerability in the diagnosis api
Summary
Server-Side Request Forgery (SSRF) vulnerability in Apache Kylin. Through a kylin server, an attacker may forge a request to invoke "/kylin/api/xxx/diag" api on another internal host and possibly get leaked information. There are two preconditions: 1) The attacker has got admin access to a kylin server; 2) Another internal host has the "/kylin/api/xxx/diag" api
endpoint open for service.
This issue affects Apache Kylin: from 5.0.0
through
5.0.1.
Users are recommended to upgrade to version 5.0.2, which fixes the issue.
Severity
6.5 (Medium)
SSVC
Exploitation: none
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2025-03-27 18:00 UTC
CWE
- CWE-918 - Server-Side Request Forgery (SSRF)
Assigner
References
2 references
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| Apache Software Foundation | Apache Kylin |
Affected:
5.0.0 , ≤ 5.0.1
(semver)
|
guessed |
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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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