CVE-2025-8548
Published: 05 August 2025
Summary
CVE-2025-8548 is a low-severity Exposure of Sensitive Information to an Unauthorized Actor (CWE-200) vulnerability in Pybbs Project Pybbs. Its CVSS base score is 2.9 (Low).
Operationally, exploitation aligns with the MITRE ATT&CK technique Email Account (T1087.003); ranked in the top 42.7% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog; a public proof-of-concept is referenced.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2025-23601
Vulnerability details
A vulnerability was found in atjiu pybbs up to 6.0.0 and classified as problematic. This issue affects the function sendEmailCode of the file src/main/java/co/yiiu/pybbs/controller/api/SettingsApiController.java of the component Registered Email Handler. The manipulation of the argument email leads to information exposure…
more
through error message. The attack may be initiated remotely. The complexity of an attack is rather high. The exploitation is known to be difficult. The exploit has been disclosed to the public and may be used. The identifier of the patch is 234197c4f8fc7ce24bdcff5430cd42492f28936a. It is recommended to apply a patch to fix this issue.
- CWE(s)
Related Threats
MITRE ATT&CK Enterprise TechniquesAI
Why these techniques?
The vulnerability enables unauthenticated remote enumeration of registered email addresses via error messages from the sendEmailCode API endpoint, directly facilitating Email Account Discovery (T1087.003) and gathering victim email addresses (T1589.002).
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.
Monitoring directly detects unauthorized disclosure of sensitive information, enabling response to exposures.
Obscuring authentication feedback prevents exposure of sensitive information such as valid usernames or failure reasons to unauthorized actors.
Concealment techniques directly prevent real sensitive data from being exposed to adversaries.
Restricts error message visibility to authorized recipients, directly reducing unauthorized exposure of sensitive information.
Filtering output to only permitted content stops unintended disclosure of sensitive information to unauthorized actors.
Automated marking applies security attributes to system outputs, making it harder for attackers to exploit unmarked sensitive information leading to unauthorized exposure.
Proper attribute retention and permitted-value enforcement limits unauthorized actors from accessing sensitive information lacking correct labels.
Prevents unauthorized exposure of sensitive information by prohibiting untrusted external systems from processing or storing it.