Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T138E33C7032087D3E557347EAB0AA7315B27D931AD40E8464B36CD5A627DEC8AE433BD8 |
|
CONTENT
ssdeep
|
3072:e72gzaHHxuHzEKHqcrHqZBHzoPXexMAQgDnA+vx6pc:evz0RuHzbHqEHqrHzoPufrDnA+vx6K |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c063c13e9d1ff1c4 |
|
VISUAL
aHash
|
0060600606007efe |
|
VISUAL
dHash
|
b2969cdcb48ca492 |
|
VISUAL
wHash
|
0060667e5e407eff |
|
VISUAL
colorHash
|
38200010001 |
|
VISUAL
cropResistant
|
b2969cdcb48ca492 |
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 24 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.