CVE-2026-94042 (GCVE-0-2026-94042)
Vulnerability from cvelistv5 – Published: 2026-09-20 17:45 – Updated: 2026-09-22 15:42
VLAI
EPSS
VEX
Title
AdithyaYelloju Restaurant Management System add_table.php mysqli_query sql injection
Summary
A vulnerability was found in AdithyaYelloju Restaurant Management System up to 7f0e7e84255e8fcfd488e83f8f91451bbbff6b9c. This affects the function mysqli_query of the file admin/add_table.php. The manipulation of the argument table/members/price results in sql injection. It is possible to launch the attack remotely. The exploit has been made public and could be used. This product takes the approach of rolling releases to provide continious delivery. Therefore, version details for affected and updated releases are not available. The project was informed of the problem early through an issue report but has not responded yet.
Severity
SSVC
Exploitation: poc
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-09-22 15:30 UTC
Assigner
References
5 references
| URL | Tags |
|---|---|
| https://vuldb.com/vuln/407971 | vdb-entrytechnical-description |
| https://vuldb.com/vuln/407971/cti | signaturepermissions-required |
| https://vuldb.com/cve/CVE-2026-94042 | third-party-advisory |
| https://vuldb.com/submit/948799 | third-party-advisory |
| https://github.com/AdithyaYelloju/Restaurant-Mana… | exploitissue-tracking |
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| AdithyaYelloju | Restaurant Management System |
Affected:
7f0e7e84255e8fcfd488e83f8f91451bbbff6b9c
cpe:2.3:a:restaurant_management_system:restaurant_management_system:*:*:*:*:*:*:*:* |
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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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