CVE-2025-13264 (GCVE-0-2025-13264)
Vulnerability from cvelistv5 – Published: 2025-11-17 05:02 – Updated: 2025-11-17 17:16 X_Freeware
VLAI
EPSS
VEX
Title
SourceCodester Online Magazine Management System view_magazine.php sql injection
Summary
A security flaw has been discovered in SourceCodester Online Magazine Management System 1.0. This affects an unknown part of the file /view_magazine.php. The manipulation of the argument ID results in sql injection. The attack may be performed from remote. The exploit has been released to the public and may be exploited.
Severity
SSVC
Exploitation: poc
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2025-11-17 17:15 UTC
Assigner
References
5 references
| URL | Tags |
|---|---|
| https://vuldb.com/?id.332599 | vdb-entrytechnical-description |
| https://vuldb.com/?ctiid.332599 | signaturepermissions-required |
| https://vuldb.com/?submit.689424 | third-party-advisory |
| https://github.com/0xffaaa/cve/blob/main/Online%2… | exploit |
| https://www.sourcecodester.com/ | product |
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| SourceCodester | Online Magazine Management System |
Affected:
1.0
|
guessed |
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Sightings
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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
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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.
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.