Raw vector
CVSS:3.1/AV:A/AC:H/PR:H/UI:N/S:C/C:H/I:L/A:LSummary
CVE-2024-4536 is a medium-severity Insertion of Sensitive Information Into Sent Data (CWE-201) vulnerability in Eclipse Edc Connector. Its CVSS base score is 6.8 (Medium).
Operationally, exploitation aligns with the MITRE ATT&CK technique Unsecured Credentials (T1552); ranked at the 34th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog.
The strongest mitigations our analysis identified map to AC-3 (Access Enforcement) and AC-4 (Information Flow Enforcement) — see the control section below for these in your framework.
OWASP Top 10 for Web (2025)
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2024-1371
Vulnerability Data
In Eclipse Dataspace Components from version 0.2.1 to 0.6.2, in the EDC Connector component ( https://github.com/eclipse-edc/Connector ), an attacker might obtain OAuth2 client secrets from the vault. In Eclipse Dataspace Components from version 0.2.1 to 0.6.2, we have identified a…
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security vulnerability in the EDC Connector component ( https://github.com/eclipse-edc/Connector ) regarding the OAuth2-protected data sink feature. When using a custom, OAuth2-protected data sink, the OAuth2-specific data address properties are resolved by the provider data plane. Problematically, the consumer-provided clientSecretKey, which indicates the OAuth2 client secret to retrieve from a secrets vault, is resolved in the context of the provider's vault, not the consumer. This secret's value is then sent to the tokenUrl, also consumer-controlled, as part of an OAuth2 client credentials grant. The returned access token is then sent as a bearer token to the data sink URL. This feature is now disabled entirely, because not all code paths necessary for a successful realization were fully implemented.
- CWE(s)
Related Threats
MITRE ATT&CK Enterprise Techniques
CVEs Like This One
Affected Assets
Mitigating Controls
Control response
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- 2 hardening rules · 2 OS baselines
V14.2.3V11.3.3
Mitigating Controls (NIST 800-53 r5) AI
Directly enforces policy-based information flow rules that block transmission of sensitive data to unauthorized actors.
Protection of information at rest requires encryption or equivalent safeguards for stored credentials.
Transmission confidentiality and integrity enforcement stops credentials from being sent in plaintext or without protection.
Enforces authorizations on logical access so that sensitive data is not released to unauthorized recipients.
Requires validation of outbound information to ensure sensitive content is not disclosed in responses or messages.
Authenticator management requires secure generation, storage, and distribution of credentials, directly stopping insecure methods.
Mitigating Controls (NIST CSF 2.0) AI
Derived directly from the weakness types (CWEs) cited in the NVD entry via our AI-authored CWE→CSF cross-walk (authority under review) — links open the control.
Encrypting data-at-rest fully prevents insecure credential storage while only partially satisfying the broader data-protection outcome.
Encrypting data-in-transit fully prevents interception of credentials in motion while only partially satisfying the broader data-protection outcome.
Credential management practices directly reduce insecure storage/transmission but do not guarantee encryption or transport protection.
Protecting identity assertions covers conveyance of credentials but is narrower than full credential lifecycle protection.
Secure SDLC practices directly prevent insertion of sensitive data into application outputs and messages.
Monitoring runtime data flows and outputs can detect sensitive data being transmitted.
Mitigating Controls (ISO/IEC 27001:2022 Annex A) AI
Derived directly from the weakness types (CWEs) cited in the NVD entry via our AI-authored CWE→ISO cross-walk (authority under review) — links open the control.
Requiring protected storage, transmission, and non-display of passwords prevents credentials from being stored or sent in clear text where they can be harvested by unauthorized actors.
Data-masking techniques can prevent sensitive values from appearing in transmitted payloads.
Protecting secret and private keys against disclosure and unauthorized use decreases the exposure of credentials that are stored or transmitted in recoverable form.
Forbidding clear-text transmission and display of passwords, plus the use of stronger alternatives to passwords, prevents credentials from being obtained or reused by attackers.
Acceptable-use expectations that cover protection of credentials and information assets throughout their lifecycle discourage practices that expose or mishandle authentication material.
Classification identifies sensitive data so it is not inadvertently transmitted.