Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1179296309886BE3723A362D1C75B976FB2D48305D5079A5AD6FC8B6E0BD3D40DF22216 |
|
CONTENT
ssdeep
|
384:iNSN4NQpG97XGjhIUjIDsLdTdyM3SUIzDM5C:bK7XqhrHYzmC |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d1705c5873715d66 |
|
VISUAL
aHash
|
00ffffe7e7ffff00 |
|
VISUAL
dHash
|
94f06d5e4c32d432 |
|
VISUAL
wHash
|
007e2420e4dcff00 |
|
VISUAL
colorHash
|
00030000000 |
|
VISUAL
cropResistant
|
d8e04d5c4c33f0c4,a691d8d4869a8540,99b99eb421339f59,cd16171797931d99,4c32144c0cb2320c |
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 16 techniques to evade detection by security scanners and make reverse engineering more difficult.