Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E7D2A4316104363B129783D97761F31EE2E3929ADB8A090563FC835D4BEBF90DD2712A |
|
CONTENT
ssdeep
|
768:ZeFy5NGiNTio4ymgMhdU2Yx5OCnhoYa3e/Y7sOy2+y9BH4cLIe:BNTieMhi3OChyx7sOy2+UBH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c343d53ab12da4c7 |
|
VISUAL
aHash
|
002030000000ffff |
|
VISUAL
dHash
|
dcc1c3c3cd84d300 |
|
VISUAL
wHash
|
00fdf1710000ffff |
|
VISUAL
colorHash
|
310000001c0 |
|
VISUAL
cropResistant
|
d200c00258d88000,dcd9c1c3c1cd84d2 |
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.