Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10F020FE0C514ED7B471282C6E7756B0F7692C349DB07194493F883AFABCACA0CA255ED |
|
CONTENT
ssdeep
|
192:QgERHFOJEdYMKJSMVXHQkMAINnnfffkd5Ou:QhlOWeMKJ13MAINnnfffkd5T |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bc9e43e543e161c3 |
|
VISUAL
aHash
|
ffffffffffffff00 |
|
VISUAL
dHash
|
0020303220161640 |
|
VISUAL
wHash
|
00dfcfcfc7c3c300 |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
00203030282a1612,0000000000000000 |
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 63 techniques to evade detection by security scanners and make reverse engineering more difficult.