We have recently identified that a change in the ETSI electronic signature standard, implemented on 15 July 2025, has impacted the validation process for European Digital Credentials for Learning (EDC) issued after this date. At the moment, as a result:
EDCs issued after 15 July 2025 will appear as invalid when verified outside the EDC infrastructure (e.g. via the DSS web application).
EDCs issued after 15 July 2025 will include signatures that cannot be extended within EDC. (See solutions to this matter below.)
This change is due to the release of Digital Signature Service (DSS) 6.3, a major upgrade from DSS 6.0 that implements eIDAS 2.0 compliance requirements and supports TLv6 (Trust List version 6) as mandated by EU Regulation 2024/1183.
Key compliance requirements introduced in DSS 6.3:
- ETSI TS 119 182-1: New ‘iat’ (issued-at) signed attribute for JAdES signatures created after 15 July 2025
- TLv6 Support: Trust Service List version 6 for enhanced certificate validation
- eIDAS 2.0: European Regulation on electronic identification and trust services.
The DSS 6.3 upgrade is a mandatory compliance update required by EU Regulation 2024/1183 for eIDAS 2.0 digital signature standards. The implementation ensures EDC systems can continue issuing and validating legally valid signatures after 15 July 2025.
Our team is actively working on a solution to address the signature extension issue, ensuring that all EDCs, regardless of issuance date, can be validated within the EDC infrastructure. However, this fix will not resolve external validation failures, as credentials signed with the non-compliant DSS version cannot pass checks outside EDC. This solution will include:
- upgrading the DSS library to 6.3 with the EDC release 3.0.
- adapting EDC so that credentials issued after 15 July 2025 (up to the EDC release 3.0) will remain valid in EDC infrastructure, including the validity checks when the signature is extended.
Thank you for your patience and understanding while we address this matter.
Best regards,
The European Learning Model Team
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