CVE-2026-2943 (GCVE-0-2026-2943)
Vulnerability from cvelistv5 – Published: 2026-02-22 10:32 – Updated: 2026-02-25 18:22
VLAI
EPSS
VEX
Title
SapneshNaik Student Management System index.php cross site scripting
Summary
A vulnerability was identified in SapneshNaik Student Management System up to f4b4f0928f0b5551a28ee81ae7e7fe47d9345318. This impacts an unknown function of the file index.php. Such manipulation of the argument Error leads to cross site scripting. The attack can be launched remotely. The exploit is publicly available and might be used. This product does not use versioning. This is why information about affected and unaffected releases are unavailable. The vendor was contacted early about this disclosure but did not respond in any way.
Severity
SSVC
Exploitation: poc
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-02-25 18:22 UTC
Assigner
References
4 references
| URL | Tags |
|---|---|
| https://vuldb.com/?id.347313 | vdb-entrytechnical-description |
| https://vuldb.com/?ctiid.347313 | signaturepermissions-required |
| https://vuldb.com/?submit.754035 | third-party-advisory |
| https://github.com/duckpigdog/CVE/blob/main/XSS%E… | exploit |
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| SapneshNaik | Student Management System |
Affected:
f4b4f0928f0b5551a28ee81ae7e7fe47d9345318
|
guessed |
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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.
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Vulnerability timeline
Sightings and recorded dates, grouped by day · UTC
How durations are calculated
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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.
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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.