Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10BD177735514C81E1FFB918AFAC0E5CD9192C25AF63488C3B1D5A16F2BC0EE5A962378 |
|
CONTENT
ssdeep
|
96:LhY8hgXVhZ+XVh0XCl4m4qNR1skE+tnej+LCfMmORR1E8VConOHus85zl:LdhSVEVNnEtVfMmUU8VCoOY |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
926d6dd292e4e991 |
|
VISUAL
aHash
|
fb0040666c6c006f |
|
VISUAL
dHash
|
03b8868c88a9c2cb |
|
VISUAL
wHash
|
ff0042e66c7c00ff |
|
VISUAL
colorHash
|
31000e00000 |
|
VISUAL
cropResistant
|
1fdfceaee6ced060,03b8868c88a9c2cb |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.