CVE-2026-14634 (GCVE-0-2026-14634)
Vulnerability from cvelistv5 – Published: 2026-07-04 16:15 – Updated: 2026-07-06 16:51 X_Open Source
VLAI
EPSS
VEX
Title
kirilkirkov Ecommerce-CodeIgniter-Bootstrap Subscribed Emails Admin MY_Controller.php checkForPostRequests cross site scripting
Summary
A vulnerability was identified in kirilkirkov Ecommerce-CodeIgniter-Bootstrap up to 213babdbaa949e94557246414db0130e01394517. This vulnerability affects the function checkForPostRequests of the file application/core/MY_Controller.php of the component Subscribed Emails Admin Page. Such manipulation of the argument User-Agent leads to cross site scripting. The attack may be performed from remote. The exploit is publicly available and might be used. This product utilizes a rolling release system for continuous delivery, and as such, version information for affected or updated releases is not disclosed. The name of the patch is 23105f25dadf57b4314fc015a63a7c6e910c89df. It is advisable to implement a patch to correct this issue.
Severity
SSVC
Exploitation: poc
Automatable: yes
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-07-06 16:46 UTC
Assigner
References
7 references
| URL | Tags |
|---|---|
| https://vuldb.com/vuln/376149 | vdb-entrytechnical-description |
| https://vuldb.com/vuln/376149/cti | signaturepermissions-required |
| https://vuldb.com/cve/CVE-2026-14634 | third-party-advisory |
| https://vuldb.com/submit/845904 | third-party-advisory |
| https://github.com/kirilkirkov/Ecommerce-CodeIgni… | exploit |
| https://github.com/kirilkirkov/Ecommerce-CodeIgni… | patch |
| https://github.com/kirilkirkov/Ecommerce-CodeIgni… | product |
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| kirilkirkov | Ecommerce-CodeIgniter-Bootstrap |
Affected:
213babdbaa949e94557246414db0130e01394517
cpe:2.3:a:kirilkirkov:ecommerce-codeigniter-bootstrap:*:*:*:*:*:*:*:* |
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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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