CVE-2025-13121 (GCVE-0-2025-13121)
Vulnerability from cvelistv5 – Published: 2025-11-13 16:32 – Updated: 2025-11-13 18:49
VLAI
EPSS
VEX
Title
cameasy Liketea API Endpoint StoreController.php list sql injection
Summary
A security vulnerability has been detected in cameasy Liketea 1.0.0. Impacted is the function list of the file laravel/app/Http/Controllers/Front/StoreController.php of the component API Endpoint. Such manipulation of the argument lng/lat leads to sql injection. The attack may be performed from remote. The exploit has been disclosed publicly and may be used.
Severity
SSVC
Exploitation: poc
Automatable: yes
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2025-11-13 18:48 UTC
Assigner
References
5 references
| URL | Tags |
|---|---|
| https://vuldb.com/?id.332349 | vdb-entrytechnical-description |
| https://vuldb.com/?ctiid.332349 | signaturepermissions-required |
| https://vuldb.com/?submit.683659 | third-party-advisory |
| https://github.com/ictrun/liketea-sql-injection/b… | related |
| https://github.com/ictrun/liketea-sql-injection/b… | exploit |
Impacted products
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Sightings
| Author | Source | Type | Date | Other |
|---|
Nomenclature
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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.