Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A6628BB0569E24AA0105F157DD087F097DF780FE7FAB632211A47EBF38E2468C66D219 |
|
CONTENT
ssdeep
|
384:83TrQKM6w1R9GbAXOn1DkzfwHUw1DkzfwK4oivaXkKcHva+uN:83TrQKM31RaAXOnFkzoHUwFkzoK4PaXh |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bcc9c3d30a6d2cc3 |
|
VISUAL
aHash
|
f9dfc393ff83ff93 |
|
VISUAL
dHash
|
2b1c163628be0ea6 |
|
VISUAL
wHash
|
b9cf8393e782c2c2 |
|
VISUAL
colorHash
|
07000000000 |
|
VISUAL
cropResistant
|
2b1c163628be0ea6,4501da8aac020145 |
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 2 techniques to evade detection by security scanners and make reverse engineering more difficult.