PULSE NAME
Inside Water Barghest's Rapid Exploit-to-Market Strategy for IoT Devices
WHITE Water Barghest AlienVault 2024-11-18 Modified: 2024-11-18
97
IOCs
HIGH VOLUME
Water Barghest, a cybercriminal group, has developed a highly automated system for exploiting and monetizing IoT devices. Their botnet, comprising over 20,000 devices as of October 2024, uses automated scripts to identify and compromise vulnerable IoT devices from public internet scan databases. Once compromised, the Ngioweb malware is deployed, running in memory and connecting to command-and-control servers. The entire process, from initial infection to listing the device on a residential proxy marketplace, can take as little as 10 minutes. Water Barghest targets various IoT devices from brands like Cisco, DrayTek, and Zyxel, using both n-day vulnerabilities and at least one zero-day exploit. Their sophisticated operation has allowed them to maintain a low profile while generating steady income through their cybercriminal activities.
MITRE ATT&CK & Malware Families
ATT&CK TECHNIQUES
MALWARE FAMILIES
Ngioweb
Indicators of Compromise (15 / 97 total)
All FileHash-SHA256 domain FileHash-MD5 FileHash-SHA1
TYPEINDICATORDESCRIPTIONCREATED
FileHash-MD5 053b4e35af82776cc84f1e997d13e874 MD5 of 9cb6c49173e4cb5a0b3c2f6d69a5bdc0bc67138329f00afaf38d678f2c0e00a6 2024-11-18
FileHash-MD5 25c1373db67c8c5addf80d57f8f23815 MD5 of 5353228926aa96b546b33de4418f15e347441d16d292f4946beca6a0d314e635 2024-11-18
FileHash-MD5 2a8ef3975395c3358889a723ea03741a MD5 of 9fda16ad1d32f34c221d0e074a4ef13217eded63b5ff507452c4e2bbb57df3a4 2024-11-18
FileHash-MD5 33d2ae1f5cee2a033be5bb8447296816 MD5 of a8f7eaf999eb6cc8461f785fad13da30315da80b534cae047c5811bbea3351e3 2024-11-18
FileHash-MD5 39ebbdbfb0e8543ba04df5cc7d69327f MD5 of 2e940e3bd88226cfbbfb7a2eefbdd675173fd2950847a9131e11c1682353e286 2024-11-18
FileHash-MD5 4b0e1773a743509505cba6846950bde0 MD5 of 129693d8c474a8de8f91e1d16e0129732aba20bea9ac24e7c68b345b7b05ad6f 2024-11-18
FileHash-MD5 5584380ce95f7f96186be99cf408e07b MD5 of 869965781d96a06741c2a28c54bb8e3233bc10fcb92455e6cb9ab0c9fc2c54d4 2024-11-18
FileHash-MD5 64708f9beb8cadcf3caa5f767590d83b MD5 of b9360f1434ce7ff45b3ca49ff7269293188a339747b03bcd395b71b1d179700f 2024-11-18
FileHash-MD5 6b1cafa1fb4d72ea37f0dcde4143a7a1 MD5 of 05cd00f975bd2522d943e836ef5a1cb00806c6d684987274da850be348b2b1f4 2024-11-18
FileHash-MD5 8983d7ef13904aa6f7cdbc08f143a70a MD5 of 9fb33a16762dce934e7a48946e396ad672ab16d42a060021238f2ddf6a9f0514 2024-11-18
FileHash-MD5 8e817c5998b15f5127b2189e486e1c7c MD5 of be285b77211d1a33b7ae1665623a9526f58219e20a685b6548bc2d8e857b6b44 2024-11-18
FileHash-MD5 9c38019e7a78e4d42228bc3aedc87441 MD5 of e3344c598a984dc5dc8dc1d971da8dd9b7058c48288dc5ad063548fff61543a1 2024-11-18
FileHash-MD5 b5cde533fce5867099b2d23d19817acd MD5 of a79ff2cd7f47b11d9176c40f0e82ba9b378c463ff9dd6e3e907df9480c7a1547 2024-11-18
FileHash-MD5 c623440a590fe1cdad46a1e16baf6bc0 MD5 of b8385ce60ca6c69b7ea67fa93c7d5908809658e7d8a4fb9e003890b820979f53 2024-11-18
FileHash-MD5 d38cf622452526188998d4239abd6301 MD5 of 78a1b5bea50034e7a03e6ed5c0f4f80f1fbc770555891a73790e1b59a2fba608 2024-11-18