Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D8D28231B010663B02A3C3D5B760F71EE2E3924EDA86090697FC875E5BD7E50DE2356A |
|
CONTENT
ssdeep
|
768:4eFy5NMZnt+UhtjnXV7STDYCmE7sOy2+y9BH4crIe:1nt+Uh1V7STBl7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c363d13c9c0db5c3 |
|
VISUAL
aHash
|
002060000000ffff |
|
VISUAL
dHash
|
9cc9c3e3cd0cd300 |
|
VISUAL
wHash
|
00fdf1710000ffff |
|
VISUAL
colorHash
|
310000001c0 |
|
VISUAL
cropResistant
|
f200c00258d88000,dcc9cbc3e3cd0cd0 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.