CVE-2025-57437
Published: 22 September 2025
Summary
CVE-2025-57437 is a critical-severity Exposure of Sensitive Information to an Unauthorized Actor (CWE-200) vulnerability in Blackmagicdesign Web Presenter Hd Firmware. Its CVSS base score is 9.8 (Critical).
Operationally, exploitation aligns with the MITRE ATT&CK technique System Network Configuration Discovery (T1016); ranked at the 35.4th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog; a public proof-of-concept is referenced.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2025-30803
Vulnerability details
The Blackmagic Web Presenter HD firmware version 3.3 exposes sensitive information via an unauthenticated Telnet service on port 9977. When connected, the service reveals extensive device configuration data including: - Model, version, and unique identifiers - Network settings including IP,…
more
MAC, DNS - Current stream platform, stream key, and streaming URL - Audio/video configuration This data can be used to hijack live streams or perform network reconnaissance.
- CWE(s)
Related Threats
MITRE ATT&CK Enterprise TechniquesAI
Why these techniques?
Unauthenticated Telnet service on port 9977 exposes system details (model, version, IDs), network configuration (IP, MAC, DNS), and device settings, enabling System Network Configuration Discovery (T1016), System Information Discovery (T1082), and Network Device Configuration Dump (T1602.002).
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.
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.
By enforcing authorization matching prior to sharing, the control reduces the risk of exposing sensitive information to unauthorized actors.
Review and removal of nonpublic information from publicly accessible systems directly prevents exposure of sensitive data to unauthorized actors.
Data mining protection mechanisms detect and block unauthorized bulk extraction of sensitive data, directly mitigating exposure to unauthorized actors.
Literacy training teaches users to recognize and avoid actions that result in unauthorized exposure of sensitive information.
Retaining and monitoring training records confirms personnel have completed privacy and security awareness training on handling sensitive data, reducing the chance of unauthorized exposure due to lack of knowledge.