News &
Updates

Log4j Vulnerability

A recent vulnerability (CVE-2021-44228) has identified a serious problem with the Java based Log4j logging library. This vulnerability can easily be exploited to take control of vulnerable systems remotely. UM Labs R&D does not use Java or the Log4j library in any of their products, which means that Unicus UOS

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SNITCH (Suspicious Numbering In Telephony Call Handing)

Global Discovery database which shows IP Call Fraud happening in real-time. SNITCH, Suspicious Numbering In Telephony Call Handing, is a real-time intelligence gathering and sharing service designed and operated by UM Labs R&D. The intelligence gathered by SNITCH helps address the problem of cyber attacks on Internet based real-time communication

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The Evolution of Real-Time Communications on IP Networks

Meeting changing cybersecurity requirements New Generation Services Most of the on-line meeting services are now providing links to the new generation of communication services linking two branches of the evolutionary tree: next generation phone and video calls and the growing number of conferencing and meeting services. Together these technologies challenge

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UM-Labs R&D News Update 2020/21

Covid-19 has triggered an increase in the use of Internet based real-time communication technology as working-from-home becomes the new normal. There is a wide choice of applications using either standard or proprietary protocols. Using any of these applications without adequate security controls significantly increases the risk of a security breach

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TECH UK supports the need for Data in Transit/Motion security and has awarded a finalist position for UM-Labs R&D UNICUS in their Cyber Innovation Den.

UM Labs R&D and partners such as ATOS (Mission Critical), KPN, AWS APN, AZURE OCP have partnered to deliver advanced cybersecurity for SIP based applications and services. The session initiation protocol (SIP) runs on IP networks and powers the next generation of real-time unified communications services. “KPN NGSS as a

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SNITCH Attack Intelligence   +++  676,972 attacks from 108.174.63.2, location United States    +++  3,651 attacks from 87.98.242.75, location Germany    +++  2,807 attacks from 5.39.20.184, location France    +++  1,510 attacks from 5.39.19.237, location Germany    +++  1,199 attacks from 198.23.238.154, location United States    +++  232 attacks from 217.160.139.134, location Germany    +++  New attack source, United States, 23.175.50.23     +++  New attack source, United States, 100.29.192.17  
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