CVE-2025-54428
July 29, 2025, 2:14 p.m.
9.8
Critical
Description
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 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.
Product(s) Impacted
| Vendor | Product | Versions |
|---|---|---|
| Revelacode |
|
|
Weaknesses
Common security weaknesses mapped to this vulnerability.
CWE-522
Insufficiently Protected Credentials
The product transmits or stores authentication credentials, but it uses an insecure method that is susceptible to unauthorized interception and/or retrieval.
*CPE(s)
Affected systems and software identified for this CVE.
| Type | Vendor | Product | Version | Update | Edition | Language | Software Edition | Target Software | Target Hardware | Other Information |
|---|---|---|---|---|---|---|---|---|---|---|
| a | revelacode | revelacode | <1.0.1 | / | / | / | / | / | / | / |
Tags
CVSS Score
CVSS Data - 3.1
- Attack Vector: NETWORK
- Attack Complexity: LOW
- Privileges Required: NONE
- Scope: UNCHANGED
- Confidentiality Impact: HIGH
- Integrity Impact: HIGH
- Availability Impact: HIGH
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H
Timeline
Published: July 28, 2025, 9:15 p.m.
Last Modified: July 29, 2025, 2:14 p.m.
Last Modified: July 29, 2025, 2:14 p.m.
Status : Awaiting Analysis
CVE has been recently published to the CVE List and has been received by the NVD.
More infoSource
security-advisories@github.com
*Disclaimer: Some vulnerabilities do not have an associated CPE. To enhance the data, we use AI to infer CPEs based on CVE details. This is an automated process and might not always be accurate.