Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1DCF163B0A2D5D533299392D1B376974F72D9838AE94B830683FE878A9FC8EC1DC01059 |
|
CONTENT
ssdeep
|
96:eGmIuwVmqvdlQ6/Sgg269nFREVYebI6DFeYdzpUDM79aMr361P8VEz:R8EmkQ6/g269FCE6DRtptUZ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e45b9b644c474d1b |
|
VISUAL
aHash
|
00ffffc3c3c3e7ff |
|
VISUAL
dHash
|
080c4c9696960f0c |
|
VISUAL
wHash
|
00c3e7c3c3c3c3e7 |
|
VISUAL
colorHash
|
06001010040 |
|
VISUAL
cropResistant
|
0e0c0e9696960f0c,00102c3232320c10,2190c2c0e4f8a1c2 |
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 78 techniques to evade detection by security scanners and make reverse engineering more difficult.