Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C5D1B018345185BB1A674FC9F4E1AF49E6D3F31E8515C470C0FA12B55EE1FE2A87443A |
|
CONTENT
ssdeep
|
48:ugw96PupYqbcZftsG5qBHD22W290O+sRo6rtZLpxjBsGltg5rcLjLhcnd2WO4525:usuJHD/Jrh/t6rqjLhidFd5Yfh |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8ea7b1a4a4b595c5 |
|
VISUAL
aHash
|
3f3d3c3c38181818 |
|
VISUAL
dHash
|
6e6b686160686868 |
|
VISUAL
wHash
|
3f3d3c3c38183c3c |
|
VISUAL
colorHash
|
38003000180 |
|
VISUAL
cropResistant
|
f0fcfffefafafafe,6e6b686160686868 |
Victim enters username and password into fake login form. Credentials are captured via JavaScript and exfiltrated to attacker's server in real-time.
Malicious code is obfuscated using 142660 techniques to evade detection by security scanners and make reverse engineering more difficult.
Drainer supports multiple blockchain networks and checks for high-value tokens on each chain before executing drain operations.