CVE-2025-2651 (GCVE-0-2025-2651)
Vulnerability from cvelistv5 – Published: 2025-03-23 14:31 – Updated: 2025-03-24 15:16
VLAI
EPSS
VEX
Title
SourceCodester Online Eyewear Shop admin exposure of information through directory listing
Summary
A vulnerability, which was classified as problematic, was found in SourceCodester Online Eyewear Shop 1.0. Affected is an unknown function of the file /oews/admin/. The manipulation leads to exposure of information through directory listing. It is possible to launch the attack remotely. The exploit has been disclosed to the public and may be used. It is recommended to change the configuration settings. Multiple sub-directories are affected.
Severity
5.3 (Medium)
5.3 (Medium)
SSVC
Exploitation: poc
Automatable: yes
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2025-03-24 15:13 UTC
CWE
Assigner
References
5 references
| URL | Tags |
|---|---|
| https://vuldb.com/?id.300666 | vdb-entry |
| https://vuldb.com/?ctiid.300666 | signaturepermissions-required |
| https://vuldb.com/?submit.519873 | third-party-advisory |
| https://github.com/happytraveller-alone/cve/blob/… | exploit |
| https://www.sourcecodester.com/ | product |
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| SourceCodester | Online Eyewear Shop |
Affected:
1.0
|
guessed |
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Drag nodes to arrange them. Double-click a related vulnerability to open it, or a source to visit its link. The Physics button on the left tunes the layout and the simulation; the legend at the bottom left hides or shows nodes by kind and by sighting type.
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
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- Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.
Vulnerability timeline
Sightings and recorded dates, grouped by day · UTC
How durations are calculated
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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.
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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.