CVE-2023-3350
Published: 03 October 2023
Summary
CVE-2023-3350 is a high-severity Insertion of Sensitive Information into Log File (CWE-532) vulnerability in Ayesa Ibermatica Rps. Its CVSS base score is 8.2 (High).
Operationally, ranked at the 13.8th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2023-44017
- 🇪🇸 INCIBE: www.incibe.es
Vulnerability details
A Cryptographic Issue vulnerability has been found on IBERMATICA RPS, affecting version 2019. By firstly downloading the log file, an attacker could retrieve the SQL query sent to the application in plaint text. This log file contains the password hashes…
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coded with AES-CBC-128 bits algorithm, which can be decrypted with a .NET function, obtaining the username's password in plain text.
- CWE(s)
Related Threats
No named actor attribution yet. ATT&CK technique mapping in progress for this CVE.
Affected Assets
Mitigating Controls
Likely Mitigating Controls AI
Per-CVE control mapping for this CVE has not run yet; the list below is derived from the weakness types (CWEs) cited in the NVD entry.
Contacts with security groups provide timely information on broken or risky cryptographic algorithms, reducing the likelihood of their selection and use.
Procedures mandate excluding sensitive data from logs to prevent unauthorized exposure via audit records.
Identifies insertion of sensitive data into logs, allowing detection of unauthorized disclosure.
Cross-organizational coordination enables agreement on what data to include in audit logs, directly reducing insertion of sensitive information.
Identifying logging as a data action allows prevention of sensitive information being inserted into log files.
The process of identifying and eradicating spilled information applies directly to sensitive data inserted into log files.
Ongoing education and sharing of recommended practices helps organizations identify and migrate away from broken or risky cryptographic algorithms.
Cross-organization threat feeds commonly include advances in cryptanalysis and active exploits against weak or broken algorithms, allowing organizations to deprecate them proactively.