CVE-2025-6484 (GCVE-0-2025-6484)
Vulnerability from cvelistv5 – Published: 2025-06-22 16:31 – Updated: 2025-06-23 13:32
VLAI
EPSS
VEX
Title
code-projects Online Shopping Store action.php sql injection
Summary
A vulnerability was found in code-projects Online Shopping Store 1.0 and classified as critical. Affected by this issue is some unknown functionality of the file /action.php. The manipulation of the argument cat_id/brand_id/keyword/proId/pid leads to sql injection. The attack may be launched remotely. The exploit has been disclosed to the public and may be used.
Severity
SSVC
Exploitation: poc
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2025-06-23 13:31 UTC
Assigner
References
10 references
| URL | Tags |
|---|---|
| https://vuldb.com/?id.313592 | vdb-entrytechnical-description |
| https://vuldb.com/?ctiid.313592 | signaturepermissions-required |
| https://vuldb.com/?submit.600694 | third-party-advisory |
| https://vuldb.com/?submit.600702 | third-party-advisory |
| https://vuldb.com/?submit.600704 | third-party-advisory |
| https://vuldb.com/?submit.600705 | third-party-advisory |
| https://vuldb.com/?submit.600707 | third-party-advisory |
| https://github.com/ez-lbz/poc/issues/5 | exploitissue-tracking |
| https://github.com/ez-lbz/poc/issues/6 | exploitissue-tracking |
| https://code-projects.org/ | product |
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| code-projects | Online Shopping Store |
Affected:
1.0
|
guessed |
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"time": "2025-06-21T00:00:00.000Z",
"value": "Advisory disclosed"
},
{
"lang": "en",
"time": "2025-06-21T02:00:00.000Z",
"value": "VulDB entry created"
},
{
"lang": "en",
"time": "2025-06-21T08:02:29.000Z",
"value": "VulDB entry last update"
}
],
"title": "code-projects Online Shopping Store action.php sql injection"
}
},
"cveMetadata": {
"assignerOrgId": "1af790b2-7ee1-4545-860a-a788eba489b5",
"assignerShortName": "VulDB",
"cveId": "CVE-2025-6484",
"datePublished": "2025-06-22T16:31:06.722Z",
"dateReserved": "2025-06-21T05:57:25.688Z",
"dateUpdated": "2025-06-22T16:31:06.722Z",
"state": "PUBLISHED"
},
"dataType": "CVE_RECORD",
"dataVersion": "5.1"
}
}
}
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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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