CVE-2026-105469 (GCVE-0-2026-105469)
Vulnerability from cvelistv5 – Published: 2026-10-05 22:15 – Updated: 2026-10-06 16:29
VLAI
EPSS
VEX
Title
girishsaraf Online-Appointment-Booking-System AJAX Endpoint get_town.php sql injection
Summary
A vulnerability was determined in girishsaraf Online-Appointment-Booking-System up to f427b4757128ca253d33d0cc4e87bbb9c999a4d5. This vulnerability affects unknown code of the file get_town.php of the component AJAX Endpoint. Executing a manipulation of the argument countryid/townid/cid/didval/cidval can lead to sql injection. The attack may be launched remotely. The exploit has been publicly disclosed and may be utilized. This product operates on a rolling release basis, ensuring continuous delivery. Consequently, there are no version details for either affected or updated releases. 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 2026-10-06 16:29 UTC
Assigner
References
6 references
| URL | Tags |
|---|---|
| https://vuldb.com/vuln/413615 | vdb-entrytechnical-description |
| https://vuldb.com/vuln/413615/cti | signaturepermissions-required |
| https://vuldb.com/cve/CVE-2026-105469 | third-party-advisory |
| https://vuldb.com/submit/984335 | third-party-advisory |
| https://github.com/girishsaraf/Online-Appointment… | exploitissue-tracking |
| https://github.com/girishsaraf/Online-Appointment… | product |
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| girishsaraf | Online-Appointment-Booking-System |
Affected:
f427b4757128ca253d33d0cc4e87bbb9c999a4d5
cpe:2.3:a:girishsaraf:online-appointment-booking-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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