Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A93246A19188141F2322D1C5EFA7AFC912674106DB0E157AB7BC246EF6CECF8C4B6751 |
|
CONTENT
ssdeep
|
192:I2cSiS6W1Mhm0I7I91ogYk9GCn90Cn90Cn90u:I2cSiSNMo0I7+1oNk9Gs90s90s90u |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b3666626cc33cc33 |
|
VISUAL
aHash
|
e7e7e7e7e7e7e7ef |
|
VISUAL
dHash
|
4d4d4d4d4d4d4d4c |
|
VISUAL
wHash
|
c7c7e7e703032323 |
|
VISUAL
colorHash
|
060010001c0 |
|
VISUAL
cropResistant
|
4d4d4d4d4d4d4d4c,1da2ccc8eb26b883,7fffffffffeeae8c,ffffffffffffffff |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.