CVE-2023-7107 (GCVE-0-2023-7107)
Vulnerability from cvelistv5 – Published: 2023-12-25 23:31 – Updated: 2024-08-14 18:33
VLAI
EPSS
VEX
Title
code-projects E-Commerce Website user_signup.php sql injection
Summary
A vulnerability was found in code-projects E-Commerce Website 1.0. It has been rated as critical. Affected by this issue is some unknown functionality of the file user_signup.php. The manipulation of the argument firstname/middlename/email/address/contact/username leads to sql injection. The attack may be launched remotely. VDB-249002 is the identifier assigned to this vulnerability.
Severity
7.3 (High)
7.3 (High)
SSVC
Exploitation: poc
Automatable: yes
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2024-08-14 18:32 UTC
CWE
- CWE-89 - SQL Injection
Assigner
References
3 references
| URL | Tags |
|---|---|
| https://vuldb.com/?id.249002 | vdb-entrytechnical-description |
| https://vuldb.com/?ctiid.249002 | signaturepermissions-required |
| https://github.com/h4md153v63n/CVEs/blob/main/E-C… | related |
Impacted products
2 products
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| code-projects | E-Commerce Website |
Affected:
1.0
|
guessed | |
| e-commerce_website_project | e-commerce_website |
Affected:
1.0
cpe:2.3:a:e-commerce_website_project:e-commerce_website:1.0:*:*:*:*:*:*:* |
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{
"cvssV3_0": {
"baseScore": 7.3,
"baseSeverity": "HIGH",
"vectorString": "CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:L/A:L",
"version": "3.0"
}
},
{
"cvssV2_0": {
"baseScore": 7.5,
"vectorString": "AV:N/AC:L/Au:N/C:P/I:P/A:P",
"version": "2.0"
}
}
],
"problemTypes": [
{
"descriptions": [
{
"cweId": "CWE-89",
"description": "CWE-89 SQL Injection",
"lang": "en",
"type": "CWE"
}
]
}
],
"providerMetadata": {
"dateUpdated": "2023-12-25T23:31:04.346Z",
"orgId": "1af790b2-7ee1-4545-860a-a788eba489b5",
"shortName": "VulDB"
},
"references": [
{
"tags": [
"vdb-entry",
"technical-description"
],
"url": "https://vuldb.com/?id.249002"
},
{
"tags": [
"signature",
"permissions-required"
],
"url": "https://vuldb.com/?ctiid.249002"
},
{
"tags": [
"related"
],
"url": "https://github.com/h4md153v63n/CVEs/blob/main/E-Commerce_Website/E-Commerce%20Website%20-%20SQL%20Injection%203.md"
}
],
"timeline": [
{
"lang": "en",
"time": "2023-12-25T00:00:00.000Z",
"value": "Advisory disclosed"
},
{
"lang": "en",
"time": "2023-12-25T01:00:00.000Z",
"value": "VulDB entry created"
},
{
"lang": "en",
"time": "2023-12-25T15:16:13.000Z",
"value": "VulDB entry last update"
}
],
"title": "code-projects E-Commerce Website user_signup.php sql injection"
}
},
"cveMetadata": {
"assignerOrgId": "1af790b2-7ee1-4545-860a-a788eba489b5",
"assignerShortName": "VulDB",
"cveId": "CVE-2023-7107",
"datePublished": "2023-12-25T23:31:04.346Z",
"dateReserved": "2023-12-25T14:10:09.882Z",
"dateUpdated": "2024-08-14T18:33:35.890Z",
"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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