Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T185F11C32644CE93723235FC0B492B715E2D6C66ACA431A10DABC539D0FFBED2E40665B |
|
CONTENT
ssdeep
|
192:EHgXJykYMHfmTCuCgEZBdDfVe8LTjKkrfLjg1rfBj3rrffdv:WmJykRi3jete8LTjKkrzjg1rJj3rr3dv |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c8226f9d72e2279c |
|
VISUAL
aHash
|
00183e7e7e1e5800 |
|
VISUAL
dHash
|
62f3a8ccb0b2b3b2 |
|
VISUAL
wHash
|
00187e7e7e7ef808 |
|
VISUAL
colorHash
|
07c01000000 |
|
VISUAL
cropResistant
|
70481c7072727073,62f3a8ccb0b2b3b2,0e33e8b6a2a8a2e0 |
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 103 techniques to evade detection by security scanners and make reverse engineering more difficult.