Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1916143E75055F837115B83E27A56A36F23E09609ED4B171186F883DC0FEBD95EC1A248 |
|
CONTENT
ssdeep
|
48:TaANpjZ0tua8uhpdlQthZWPHlQtiarA210lQttnAelQti9m7o:TvN9QuajhKJW+hUsASm7o |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f3e2cc8666999998 |
|
VISUAL
aHash
|
e7e7ffc2c2fcfcc0 |
|
VISUAL
dHash
|
0c4c324c4c321804 |
|
VISUAL
wHash
|
ffe7fec0c0f81800 |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
0c4c324c4c321804,210d33b3b30d2101 |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.