Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E563663C62C1563510C7C7F2F5949F29D29DCB9ADB27AE8BF2ACC247178AC458F52260 |
|
CONTENT
ssdeep
|
768:f/8FfYqF14bfXHwo4xBg28borx1v3PZ5GEWbxjlteV8sd4K:mftFh/x1v3PeEWbBK |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a9afd0b2c2e2dad0 |
|
VISUAL
aHash
|
ff0b0b2303030100 |
|
VISUAL
dHash
|
dbd7d3d3d7d79390 |
|
VISUAL
wHash
|
ff0b1b7b1303035a |
|
VISUAL
colorHash
|
07600008040 |
|
VISUAL
cropResistant
|
cbdff3d3d3d7d7b3,2040838b73a36393,dff3d3d3d7d39a90 |
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 20 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.