Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A1830B20E08505B702B787C4F1223F1A71FAF75FA54AD1954BF88AA2AFD3CA9F504970 |
|
CONTENT
ssdeep
|
1536:IIoMWosldNe/o/SH9V0zEzEzYtmqrYO/+BvlNCV/ByW:IIoMcdNMbEUU2BJ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
934c6d35e3e9850e |
|
VISUAL
aHash
|
00003cff6f4f0000 |
|
VISUAL
dHash
|
03b0e0d14c9c3bd4 |
|
VISUAL
wHash
|
01083cffffef0424 |
|
VISUAL
colorHash
|
300000001c0 |
|
VISUAL
cropResistant
|
03b0e0d14c9c3bd4 |
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 73 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.