Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F80479F4DA889128906323D5742EBC21E57CA9397FD8CFEC09697CD25AB6CDCD4CA046 |
|
CONTENT
ssdeep
|
1536:/Lhgjp2TeAeN0dwfhkhhgjp2TeAeN0dwcg1e:MTFe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9919676763391d19 |
|
VISUAL
aHash
|
00ff0fffffbfffff |
|
VISUAL
dHash
|
da3034f8c07030d0 |
|
VISUAL
wHash
|
000f0f2f1f0f1f1f |
|
VISUAL
colorHash
|
06000008180 |
|
VISUAL
cropResistant
|
0a3034007070b0d0,0024d2d8d8d22488,00402030c88990a0 |
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 12 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.