CVE-2024-30269 (GCVE-0-2024-30269)
Vulnerability from cvelistv5 – Published: 2024-04-08 14:19 – Updated: 2024-08-02 01:32Title
DataEase has database configuration information exposure vulnerability
Summary
DataEase, an open source data visualization and analysis tool, has a database configuration information exposure vulnerability prior to version 2.5.0. Visiting the `/de2api/engine/getEngine;.js` path via a browser reveals that the platform's database configuration is returned. The vulnerability has been fixed in v2.5.0. No known workarounds are available aside from upgrading.
Severity
5.3 (Medium)
SSVC
Exploitation: none
Automatable: yes
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2024-04-09 14:45 UTC
CWE
- CWE-200 - Exposure of Sensitive Information to an Unauthorized Actor
Assigner
References
2 references
| URL | Tags |
|---|---|
| https://github.com/dataease/dataease/security/adv… | x_refsource_CONFIRM |
| https://github.com/dataease/dataease/releases/tag… | x_refsource_MISC |
Impacted products
Previdian
Known Exploited Vulnerability - GCVE BCP-07 Compliant
KEV entry ID: 7c9bde94-e706-4487-a18e-967faa2dfdcf
Exploited: Yes
Timestamps
First Seen: 2024-04-08
Asserted: 2024-04-08
Scope
Notes: DataEase has database configuration information exposure vulnerability | Affected: Dataease / dataease | CVSS: 5.3 (MEDIUM) | EPSS: 0.15875 | Used in malware: unknown | Not yet in CISA KEV: True
Evidence
Type: Public Report
Signal: Successful Exploitation
Confidence: 70%
Source: previdian
Details
| Feed | Previdian (previdian.com) |
|---|---|
| Title | DataEase has database configuration information exposure vulnerability |
| Cve Id | CVE-2024-30269 |
| Vendor | Dataease |
| Ghsa Id | None |
| Product | dataease |
| Added Date | 2024-04-08T14:19:56.000Z |
| Cvss Score | 5.3 |
| Epss Score | 0.15875 |
| Previous Ids | |
| Cvss Severity | MEDIUM |
| Virtual Patch | False |
| Cvss Estimated | False |
| Epss Percentile | 0.96788 |
| Used In Malware | unknown |
| Vulnerability Id | CVE-2024-30269 |
| Ahead Of Cisa Kev | None |
| Not Yet In Cisa Kev | True |
References
Created: 2026-10-02 09:11 CEST
| Updated: 2026-10-02 09:11 CEST
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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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