Assessing subsidiary risk a top priority for most enterprises, yet they still lack proper visibility
Meta AI builds detailed profiles of children from years of family posts
Meta AI suggested questions about a child and assembled detailed family profiles from years of Facebook posts, including a photo deleted years ago.
A mother reported that Meta AI on Facebook suggested the question 'Who is the child passenger?' and then aggregated her children's names, birth dates, videos, and a photo she had deleted years ago. The assistant also pieced together old posts to pinpoint her home location when prompted with 'Where does Kalie Robins live?'. Meta admitted the prompt 'never should have' appeared and said it fixed the suggestion issue, while noting the data came from posts the asker could already access. The article situates this among prior Meta AI privacy failures, including publicly shared chats and a bug exposing private conversations via guessable IDs.
AsyncRAT Malware Abuses AutoIt and PowerShell to Hide Inside Legitimate Windows Process
Point Wild details a five-stage AsyncRAT campaign using AutoIt abuse and process injection to hide a .NET RAT inside Microsoft's signed charmap.exe.
Researchers at Point Wild Threat Intelligence analyzed a campaign starting from a lure batch file ('Right-click to open Invoice Details.bat') that launches hidden PowerShell to reconstruct a Base64/XOR-obfuscated payload. The stage drops a renamed signed AutoIt interpreter and loader script into %LOCALAPPDATA%\Temp and achieves persistence via a batch file in the user's Startup folder (T1547.001). The loader decrypts the payload in memory with single-byte XOR key 0x36 and injects it into SysWOW64\charmap.exe using OpenProcess/VirtualAllocEx/WriteProcessMemory/CreateRemoteThread, with PE-sieve confirming an in-memory implanted PE and patched AMSI modules. The final AsyncRAT payload performs screen capture and data theft, with observed C2 at 158[.]51[.]122[.]136:4944 over raw TCP.
New Malware 'Rover' Targets Indian Ambassador to Afghanistan
Unit 42 reports a spearphishing attack delivering the custom Rover Trojan to India's Ambassador to Afghanistan, exploiting CVE-2010-3333 in Word.
On December 24, 2015, Unit 42 identified a targeted spearphishing email spoofing Indian Defence Minister Manohar Parrikar, sent to India's Ambassador to Afghanistan. The RTF attachment exploited CVE-2010-3333 in Microsoft Word to download a downloader from newsumbrella.net, which retrieved the Rover Trojan and DLL plugins from 46.166.165.254. Rover uses OpenCV for webcam capture, OpenAL for audio recording and libsndfile for audio files, with data exfiltration over its C2 channel; separate payload versions target Windows XP and later systems.