Security Affairs
AUGUST 4, 2021
IN FRA:HALT is a set of vulnerabilities affecting a popular TCP/IP library commonly OT devices manufactured by more than 200 vendors. In fact, INFRA:HALT includes examples of memory corruption like in AMNESIA:33, weak ISN generation like in NUMBER:JACK and DNS vulnerabilities like in NAME:WRECK” continues the report.
Security Affairs
JULY 3, 2022
The malware was first spotted in September 2021, the experts observed Raspberry Robin targeting organizations in the technology and manufacturing industries. In the example below, q:erpbirel.yax deciphers to d:recovery.lnk.”. The malware uses TOR exit nodes as a backup C2 infrastructure. exe to execute a malicious command.
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Schneier on Security
MARCH 21, 2022
The application, node-ipc, adds remote interprocess communication and neural networking capabilities to other open source code libraries. As a dependency, node-ipc is automatically downloaded and incorporated into other libraries, including ones like Vue.js CLI, which has more than 1 million weekly downloads. […].
Security Affairs
JULY 9, 2022
The malware was first spotted in September 2021, the experts observed Raspberry Robin targeting organizations in the technology and manufacturing industries. In the example below, q:erpbirel.yax deciphers to d:recovery.lnk.”. The malware uses TOR exit nodes as a backup C2 infrastructure. exe to execute a malicious command.
Security Affairs
MAY 7, 2022
The malware was first spotted in September 2021, the experts observed Raspberry Robin targeting organizations in the technology and manufacturing industries. In the example below, q:erpbirel.yax deciphers to d:recovery.lnk.” The malware uses TOR exit nodes as a backup C2 infrastructure. exe to execute a malicious command.
Security Affairs
APRIL 7, 2020
Upon the installation, the malicious app registers itself as a foreground service and extracts an encrypted payload that gathers information about the victim’s device (android_id, manufacturer, model, firmware version, etc.) and sends it to a server under the control of the attackers ([link]. ” continues the report.
IBM Big Data Hub
DECEMBER 19, 2023
For example, higher than average traffic on a website or application for a particular period can signal a cybersecurity threat, in which case you’d want a system that could automatically trigger fraud detection alerts. A machine learning model trained with labeled data will be able to detect outliers based on the examples it is given.
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