CVE-2024-0305 (GCVE-0-2024-0305)
Vulnerability from cvelistv5 – Published: 2024-01-08 08:31 – Updated: 2024-09-04 19:13Title
Guangzhou Yingke Electronic Technology Ncast Guest Login IPSetup.php information disclosure
Summary
A vulnerability was found in Guangzhou Yingke Electronic Technology Ncast up to 2017 and classified as problematic. Affected by this issue is some unknown functionality of the file /manage/IPSetup.php of the component Guest Login. The manipulation leads to information disclosure. The attack may be launched remotely. The exploit has been disclosed to the public and may be used. The identifier of this vulnerability is VDB-249872.
Severity
5.3 (Medium)
5.3 (Medium)
SSVC
Exploitation: poc
Automatable: yes
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2024-09-04 19:13 UTC
CWE
- CWE-200 - Information Disclosure
Assigner
References
3 references
| URL | Tags |
|---|---|
| https://vuldb.com/?id.249872 | vdb-entry |
| https://vuldb.com/?ctiid.249872 | signaturepermissions-required |
| https://github.com/2267787739/cve/blob/main/logic.md | exploit |
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| Guangzhou Yingke Electronic Technology | Ncast |
Affected:
2017
|
Previdian
Known Exploited Vulnerability - GCVE BCP-07 Compliant
KEV entry ID: 631ca36a-f191-45df-9f98-1f9f40bde22e
Exploited: Yes
Timestamps
First Seen: 2025-04-24
Asserted: 2025-04-24
Scope
Notes: Guangzhou Yingke Electronic Technology Ncast Guest Login IPSetup.php information disclosure | Affected: Guangzhou Yingke Electronic Technology / Ncast | CVSS: 5.3 (MEDIUM) | EPSS: 0.66932 | 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 | Guangzhou Yingke Electronic Technology Ncast Guest Login IPSetup.php information disclosure |
| Cve Id | CVE-2024-0305 |
| Vendor | Guangzhou Yingke Electronic Technology |
| Ghsa Id | None |
| Product | Ncast |
| Added Date | 2025-04-24T00:00:00.000Z |
| Cvss Score | 5.3 |
| Epss Score | 0.66932 |
| Previous Ids | |
| Cvss Severity | MEDIUM |
| Virtual Patch | False |
| Cvss Estimated | False |
| Epss Percentile | 0.99276 |
| Used In Malware | unknown |
| Vulnerability Id | CVE-2024-0305 |
| Ahead Of Cisa Kev | None |
| Not Yet In Cisa Kev | True |
References
Created: 2026-10-02 09:10 CEST
| Updated: 2026-10-02 09:10 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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