CVE-2025-4283 (GCVE-0-2025-4283)
Vulnerability from cvelistv5 – Published: 2025-05-05 18:31 – Updated: 2025-05-05 18:48Title
SourceCodester/oretnom23 Stock Management System Login.php sql injection
Summary
A vulnerability was found in SourceCodester/oretnom23 Stock Management System 1.0 and classified as critical. This issue affects some unknown processing of the file /classes/Login.php?f=login. The manipulation of the argument Username leads to sql injection. The attack may be initiated remotely. The exploit has been disclosed to the public and may be used.
Severity
SSVC
Exploitation: poc
Automatable: yes
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2025-05-05 18:48 UTC
Assigner
References
4 references
| URL | Tags |
|---|---|
| https://vuldb.com/?id.307391 | vdb-entrytechnical-description |
| https://vuldb.com/?ctiid.307391 | signaturepermissions-required |
| https://vuldb.com/?submit.563175 | third-party-advisory |
| https://github.com/th3w0lf-1337/Vulnerabilities/b… | exploit |
Impacted products
2 products
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| SourceCodester | Stock Management System |
Affected:
1.0
|
guessed | |
| oretnom23 | Stock Management System |
Affected:
1.0
|
guessed |
Previdian
Known Exploited Vulnerability - GCVE BCP-07 Compliant
KEV entry ID: a4d5e8f4-d0f8-4147-b66f-584314cfea81
Exploited: Yes
Timestamps
First Seen: 2026-07-24
Asserted: 2026-07-24
Scope
Notes: SourceCodester/oretnom23 Stock Management System Login.php sql injection | Affected: SourceCodester, oretnom23 / Stock Management System | CVSS: 6.9 (MEDIUM) | EPSS: 0.00491 | Used in malware: unknown | Not yet in CISA KEV: True
Evidence
Type: Public Report
Signal: Successful Exploitation
Confidence: 70%
Source: kevintel
Details
| Feed | KEVIntel (kevintel.com) |
|---|---|
| Title | SourceCodester/oretnom23 Stock Management System Login.php sql injection |
| Vendor | SourceCodester, oretnom23 |
| Product | Stock Management System |
| Added Date | 2026-07-24T08:52:14.602Z |
| Cvss Score | 6.9 |
| Epss Score | 0.00491 |
| Cvss Severity | MEDIUM |
| Epss Percentile | 0.39307 |
| Used In Malware | unknown |
| Ahead Of Cisa Kev | None |
| Not Yet In Cisa Kev | True |
References
Created: 2026-07-24 09:00 UTC
| Updated: 2026-07-24 09:00 UTC
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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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