Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18C33B91C604984BA52B3D0C2F8913F1A7AF2F71BC66E491115B86BC85FDFC793A5036A |
|
CONTENT
ssdeep
|
384:oblN6lN4lNLO0lNYCj9ilW2lNyZCdo7p1+MMMMvJIzQG/12a/klxz/Wp2uo3nwF5:YygTO0gCj9iT3yrgI/8a/kfzpwuq9 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
92697c436792c73c |
|
VISUAL
aHash
|
00007e3c3c7e3c10 |
|
VISUAL
dHash
|
d033f44cccc0f4f4 |
|
VISUAL
wHash
|
0010fe7e7e7e3c14 |
|
VISUAL
colorHash
|
1b600030000 |
|
VISUAL
cropResistant
|
1b1918ba89596365,31f4ccdcd4dcf4f4,d033f44cccc0f4f4 |
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 170 techniques to evade detection by security scanners and make reverse engineering more difficult.