Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B4422AB5762401B5DE4383DAFD3633ABA213916EDB1256C8D768831CB299DFD8820DC6 |
|
CONTENT
ssdeep
|
192:QoAoB6CJ54t94Nxht+w5Bu72vP5ywPhku9cuGRmKbMpBXp7sfgg8gk:QHoCixD+w5MKn5ywOsmMpBZ7eg/B |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
952a552a552a55fb |
|
VISUAL
aHash
|
011f1f1f7f3f3f3e |
|
VISUAL
dHash
|
27b1d7f7f1e1d9da |
|
VISUAL
wHash
|
011f011f7f057f1e |
|
VISUAL
colorHash
|
07007000000 |
|
VISUAL
cropResistant
|
27b1d7f7f1e1d9da |
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 485 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.