CVE-2025-8346
Published: 31 July 2025
Summary
CVE-2025-8346 is a low-severity Cross-site Scripting (CWE-79) vulnerability in Portabilis I-Educar. Its CVSS base score is 2.1 (Low).
Operationally, exploitation aligns with the MITRE ATT&CK technique JavaScript (T1059.007); ranked at the 41.3th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog; a public proof-of-concept is referenced.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2025-23231
Vulnerability details
A vulnerability, which was classified as problematic, has been found in Portabilis i-Educar 2.10. Affected by this issue is some unknown functionality of the file /educar_aluno_lst.php. The manipulation of the argument ref_cod_matricula with the input "><img%20src=x%20onerror=alert(%27CVE-Hunters%27)> leads to cross site…
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scripting. The attack may be launched remotely. The exploit has been disclosed to the public and may be used. The vendor was contacted early about this disclosure but did not respond in any way.
- CWE(s)
Related Threats
MITRE ATT&CK Enterprise TechniquesAI
Why these techniques?
The reflected XSS vulnerability in /educar_aluno_lst.php allows injection and execution of arbitrary JavaScript code in victims' browsers without authentication, directly facilitating T1059.007 (JavaScript) as noted in advisories.
Affected Assets
Mitigating Controls
Likely Mitigating Controls AI
Per-CVE control mapping for this CVE has not run yet; the list below is derived from the weakness types (CWEs) cited in the NVD entry.
Validates web inputs to reject script-related content that could produce XSS.
Penetration testing submits XSS payloads to web applications, detecting cross-site scripting flaws for subsequent remediation.
Makes persistent code injection into loaded programs impossible when the executable image itself resides on hardware-protected read-only media.
Dynamically generated code can be produced and executed inside the isolated chamber, preventing host compromise from code-injection payloads.
Output validation against expected content can reject or sanitize script content in generated web pages, reducing XSS exploitability.
Directly prevents execution of attacker-supplied code written into data memory regions.