Raw vector
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:HSummary
CVE-2025-54428 is a critical-severity Insufficiently Protected Credentials (CWE-522) vulnerability. Its CVSS base score is 9.8 (Critical).
Operationally, exploitation aligns with the MITRE ATT&CK technique Unsecured Credentials (T1552); ranked at the 38th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog.
This vulnerability is AI-related — categorised as Other Platforms; in the Privacy and Disclosure risk domain.
The strongest mitigations our analysis identified map to SC-28 (Protection of Information at Rest) and SC-8 (Transmission Confidentiality and Integrity) — see the control section below for these in your framework.
Deeper analysis AI-assisted summary
Synthesised by an AI model from the NVD description and linked references — a reading aid, not an authoritative source.
CVE-2025-54428 affects RevelaCode, an AI-powered faith-tech project that decodes biblical verses, prophecies, and global events into accessible language. In versions below 1.0.1, developers accidentally committed a valid MongoDB Atlas URI containing an embedded username and password to the public GitHub repository. This exposure, mapped to CWE-522 (Insufficiently Protected Credentials), carries a CVSS v3.1 base score of 9.8 (AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H), indicating critical severity due to high impacts on confidentiality, integrity, and availability.
Any attacker with internet access can retrieve the exposed credentials from the public repository, enabling unauthorized access to the associated production or staging MongoDB Atlas databases. Successful exploitation could result in full data exfiltration, modification, or deletion, depending on the database user's permissions, without requiring privileges, user interaction, or special conditions.
The vulnerability is fixed in RevelaCode version 1.0.1. Advisories recommend immediate credential rotation for the exposed database user, adoption of secret managers such as Vault, Doppler, or AWS Secrets Manager instead of hardcoding secrets, and auditing recent access logs for suspicious activity. Relevant details are available in the GitHub commit at https://github.com/musombi123/RevelaCode-Backend/commit/95005cf4bacf1b005aef9d4b8e85237c98492d83 and security advisory at https://github.com/musombi123/RevelaCode-Backend/security/advisories/GHSA-m253-qvcr-cr48.
OWASP Top 10 for Web (2025)
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2025-22952
Vulnerability Data
RevelaCode is an AI-powered faith-tech project that decodes biblical verses, prophecies and global events into accessible language. In versions below 1.0.1, a valid MongoDB Atlas URI with embedded username and password was accidentally committed to the public repository. This could…
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allow unauthorized access to production or staging databases, potentially leading to data exfiltration, modification, or deletion. This is fixed in version 1.0.1. Workarounds include: immediately rotating credentials for the exposed database user, using a secret manager (like Vault, Doppler, AWS Secrets Manager, etc.) instead of storing secrets directly in code, or auditing recent access logs for suspicious activity.
- CWE(s)
AI Security AnalysisAI
- AI Category
- Other Platforms
- Risk Domain
- Privacy and Disclosure
- OWASP Top 10 for LLMs 2025
- None mapped
- Classification Reason
- Matched keywords: ai
Related Threats
MITRE ATT&CK Enterprise Techniques
CVEs Like This One
Affected Assets
Mitigating Controls
Control response
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- 1 hardening rule · 1 OS baseline
V11.3.3
Mitigating Controls (NIST 800-53 r5) AI
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.
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.
Authentication policies can enforce stronger credential handling yet address only verification, not storage or transit protection.
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.
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.
Contractual clauses that survive termination help ensure that credentials and other secrets are not retained or misused after employment ends.
Regular reminders about password security and personal accountability make users less likely to store or transmit credentials in cleartext or other unprotected forms.