Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T177B1343191089C3B0103D596DA94BF1B699BD2BEAF97074152E497AFEAE3D10CD3CA4C |
|
CONTENT
ssdeep
|
96:vuU2+wCn3dzebnrVT547iTrKogz1ga4rbmGr:5VwCn3x8Vm7inOp6rbmGr |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b33266cecec53131 |
|
VISUAL
aHash
|
e7c7c7ffffffffff |
|
VISUAL
dHash
|
6c0d9e9425094aa0 |
|
VISUAL
wHash
|
8785425e97a56a5e |
|
VISUAL
colorHash
|
07001000180 |
|
VISUAL
cropResistant
|
6c0d9e9425094aa0 |
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 4737 techniques to evade detection by security scanners and make reverse engineering more difficult.