CVE-2025-10608 (GCVE-0-2025-10608)
Vulnerability from cvelistv5 – Published: 2025-09-17 18:32 – Updated: 2025-09-18 17:35
VLAI
EPSS
VEX
Title
Portabilis i-Educar enrollment-history access control
Summary
A vulnerability was detected in Portabilis i-Educar up to 2.10. The affected element is an unknown function of the file /enrollment-history/. Performing manipulation results in improper access controls. The attack is possible to be carried out remotely. The exploit is now public and may be used.
Severity
SSVC
Exploitation: poc
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2025-09-18 17:35 UTC
Assigner
References
5 references
| URL | Tags |
|---|---|
| https://vuldb.com/?id.324628 | vdb-entry |
| https://vuldb.com/?ctiid.324628 | signaturepermissions-required |
| https://vuldb.com/?submit.649876 | third-party-advisory |
| https://github.com/marcelomulder/CVE/blob/main/i-… | related |
| https://github.com/marcelomulder/CVE/blob/main/i-… | exploit |
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| Portabilis | i-Educar |
Affected:
2.0
Affected: 2.1 Affected: 2.2 Affected: 2.3 Affected: 2.4 Affected: 2.5 Affected: 2.6 Affected: 2.7 Affected: 2.8 Affected: 2.9 Affected: 2.10 |
guessed |
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"url": "https://github.com/marcelomulder/CVE/blob/main/i-educar/Broken%20Access%20Control%20Vulnerability%20%20in%20%60.enrollment-history.(ID)%60%20Endpoint.md"
}
],
"timeline": [
{
"lang": "en",
"time": "2025-09-17T00:00:00.000Z",
"value": "Advisory disclosed"
},
{
"lang": "en",
"time": "2025-09-17T02:00:00.000Z",
"value": "VulDB entry created"
},
{
"lang": "en",
"time": "2025-09-17T16:18:59.000Z",
"value": "VulDB entry last update"
}
],
"title": "Portabilis i-Educar enrollment-history access control"
}
},
"cveMetadata": {
"assignerOrgId": "1af790b2-7ee1-4545-860a-a788eba489b5",
"assignerShortName": "VulDB",
"cveId": "CVE-2025-10608",
"datePublished": "2025-09-17T18:32:06.307Z",
"dateReserved": "2025-09-17T07:04:49.482Z",
"dateUpdated": "2025-09-18T17:35:19.043Z",
"state": "PUBLISHED"
},
"dataType": "CVE_RECORD",
"dataVersion": "5.1"
}
}
}
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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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