Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T182B2C67412543D7E6587C2E0F3B9BB5DA298C255EA27899CE3FC83E59BC2C54EC07290 |
|
CONTENT
ssdeep
|
384:f8iPIjjjjc8QNMH3QzMP3x/mBh1BONasLisxl:9IjjjjW63QGh/W1BO5Li8 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
be1ec3c11862cb3e |
|
VISUAL
aHash
|
fd97838387ffe7e7 |
|
VISUAL
dHash
|
d16f2f373f530c0c |
|
VISUAL
wHash
|
9d83818181e7e7e7 |
|
VISUAL
colorHash
|
07000000180 |
|
VISUAL
cropResistant
|
d16f2f373f530c0c |
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.