Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17C62E0E2C6401AAF6A915AF4B921278D89C7C3CFC74D2B07BDF056DB6B46C814CA552C |
|
CONTENT
ssdeep
|
384:aJvMNpO6l7Hkmt2bi8lofaNmmvcUo9Cuh:8WuO |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b847533a6d6d123c |
|
VISUAL
aHash
|
00fffffbc3c3c3db |
|
VISUAL
dHash
|
cc00aa2b2b2a2baa |
|
VISUAL
wHash
|
00ffffc381c381c3 |
|
VISUAL
colorHash
|
07008010041 |
|
VISUAL
cropResistant
|
0e002a2b2b2b2baa,00008cdcdc830000,4100797069480041,21007871614a0041,4101716169590141,4100707969680041,4100707169680021 |
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 51 techniques to evade detection by security scanners and make reverse engineering more difficult.