CVE-2025-8510
Published: 03 August 2025
Summary
CVE-2025-8510 is a low-severity Cross-site Scripting (CWE-79) vulnerability in Portabilis I-Educar. Its CVSS base score is 2.0 (Low).
Operationally, exploitation aligns with the MITRE ATT&CK technique JavaScript (T1059.007); ranked at the 42.1th 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-2025-23476
Vulnerability details
A vulnerability classified as problematic has been found in Portabilis i-Educar 2.10. This affects the function Gerar of the file ieducar/intranet/educar_matricula_lst.php. The manipulation of the argument ref_cod_aluno leads to cross site scripting. It is possible to initiate the attack remotely.…
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The exploit has been disclosed to the public and may be used. The identifier of the patch is 82c288b9a4abb084bdfa1c0c4ef777ed45f98b46. It is recommended to apply a patch to fix this issue. The vendor initially closed the original advisory without requesting a CVE.
- CWE(s)
Related Threats
MITRE ATT&CK Enterprise TechniquesAI
Why these techniques?
Reflected XSS in educar_matricula_lst.php via ref_cod_aluno parameter enables arbitrary JavaScript execution in the victim's browser context, directly mapping to T1059.007 (JavaScript) as referenced in the advisory.
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.