Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1ED037325A208AE3DE55742D4F73573791328D381E309066C9AFA0676E54AEB8EC337DC |
|
CONTENT
ssdeep
|
192:mcOXeOUO+2ZOwMO1PLphO1WoOPdiOjBJUlXOZmAO5JlyOXOSGRvOuOLUHeeObOPc:BoLAsdBJUljZkzHl9fk8fGBsxkShvfA |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8cd4b235a6d4b2b3 |
|
VISUAL
aHash
|
4e183c181000183d |
|
VISUAL
dHash
|
dc3070b0e0503069 |
|
VISUAL
wHash
|
ff3c3c387e00183d |
|
VISUAL
colorHash
|
380000001c0 |
|
VISUAL
cropResistant
|
dc3070b0e0503069 |
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 44 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.