CVE-2026-105233 (GCVE-0-2026-105233)
Vulnerability from cvelistv5 – Published: 2026-10-05 05:45 – Updated: 2026-10-05 14:19
VLAI
EPSS
VEX
Title
kishor-23 food-waste-management-system Login Flow login.php session fixiation
Summary
A vulnerability has been found in kishor-23 food-waste-management-system 411989e3ecb82895e53dca7865f72145f03d7d93/b3a70b2c492dc9904de5be1ad9389bd79b87f82c. This affects an unknown function of the file login.php of the component Login Flow. Such manipulation of the argument PHPSESSID leads to session fixiation. The attack can be launched remotely. The exploit has been disclosed to the public and may be used. This product does not use versioning. This is why information about affected and unaffected releases are unavailable. 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 2026-10-05 14:17 UTC
CWE
- CWE-384 - Session Fixiation
Assigner
References
6 references
| URL | Tags |
|---|---|
| https://vuldb.com/vuln/413433 | vdb-entrytechnical-description |
| https://vuldb.com/vuln/413433/cti | signaturepermissions-required |
| https://vuldb.com/cve/CVE-2026-105233 | third-party-advisory |
| https://vuldb.com/submit/972904 | 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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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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