Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B99318B11312967F2043C3E6BA91FD5EB25AB6D5EE178804E3FC431667C9C89CD11EA8 |
|
CONTENT
ssdeep
|
1536:GPCyvzr+rB/OKvXM3TAX/J4R0of2P9sn15WxG+I5LyfMUUUUtMMMMZA:GmrB/OKvXM3TAX/J4R0of2P9sn15Wx1Z |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8d52a3d87327d827 |
|
VISUAL
aHash
|
643c3c00183c033f |
|
VISUAL
dHash
|
d450602060b267eb |
|
VISUAL
wHash
|
7e3c3c18183c137f |
|
VISUAL
colorHash
|
38002000180 |
|
VISUAL
cropResistant
|
a000908d8d8c00a2,d450602060b267eb |
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 87 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.