CVE-2026-105231 (GCVE-0-2026-105231)
Vulnerability from cvelistv5 – Published: 2026-10-05 05:15 – Updated: 2026-10-05 13:25
VLAI
EPSS
VEX
Title
kishor-23 food-waste-management-system Admin Registration signup.php sql injection
Summary
A vulnerability was detected in kishor-23 food-waste-management-system 411989e3ecb82895e53dca7865f72145f03d7d93/b3a70b2c492dc9904de5be1ad9389bd79b87f82c. The affected element is an unknown function of the file admin/signup.php of the component Admin Registration. The manipulation of the argument email/username/location results in sql injection. It is possible to launch the attack remotely. The exploit is now public and may 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: yes
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-10-05 13:25 UTC
Assigner
References
6 references
| URL | Tags |
|---|---|
| https://vuldb.com/vuln/413431 | vdb-entrytechnical-description |
| https://vuldb.com/vuln/413431/cti | signaturepermissions-required |
| https://vuldb.com/cve/CVE-2026-105231 | third-party-advisory |
| https://vuldb.com/submit/972898 | third-party-advisory |
| https://github.com/kishor-23/food-waste-managemen… | exploitissue-tracking |
| https://github.com/kishor-23/food-waste-managemen… | product |
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| kishor-23 | food-waste-management-system |
Affected:
411989e3ecb82895e53dca7865f72145f03d7d93
Affected: b3a70b2c492dc9904de5be1ad9389bd79b87f82c cpe:2.3:a:kishor-23:food-waste-management-system:*:*:*:*:*:*:*:* |
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| Author | Source | Type | Date | Other |
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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.