Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D3D112E1D404DD3B435386D8A7F96B4B7791C355CE021944A3F883AB5BCECA0CB26699 |
|
CONTENT
ssdeep
|
96:TkCFUwHmiWSTNtL9V38wETFEyXkHFX2XWHFeeyXlX/Zn5R:QoUwHHRR9OwEEXcBXxb |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b939c6c6c60ec3c6 |
|
VISUAL
aHash
|
0f0f0f0fffffffff |
|
VISUAL
dHash
|
3a1a1a3900100000 |
|
VISUAL
wHash
|
00000000ffffffff |
|
VISUAL
colorHash
|
060000001c0 |
|
VISUAL
cropResistant
|
3a1a1a3900100000,54b2cc8e72328cf0,5145999490989565 |
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 63 techniques to evade detection by security scanners and make reverse engineering more difficult.