Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B3935CB17222F47D53EF40DDF7386A41A2818819E8C74560B6D45D8E23CBC9572A7BF8 |
|
CONTENT
ssdeep
|
1536:7hC3rwaiMRBDwapMRByYQmMRBuYQtMRBhi82+/9dtyDieUYypSfZ7S9xwhw092k7:7hGwadwaNYQ0YQt820D0j/cyX92kKkY8 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8ce6b2e9c8b2e68c |
|
VISUAL
aHash
|
ff00301818100000 |
|
VISUAL
dHash
|
4464647272732920 |
|
VISUAL
wHash
|
ff26303b39391c1c |
|
VISUAL
colorHash
|
06e00000000 |
|
VISUAL
cropResistant
|
0824144444140964,828082b272a28080,809280b236a28082,6464647273633130 |
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 119 techniques to evade detection by security scanners and make reverse engineering more difficult.