Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10202C9B645015C3B1627C5E89EF4F768E1C2CA4DDA960682E3E4532F1BC4DF5E993328 |
|
CONTENT
ssdeep
|
192:414Ky9TbBvvux4/hwMXJHVlWGYlNoaU61kzWr98o:1BHgOlclNkkMWr5 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b6361c19890f6767 |
|
VISUAL
aHash
|
00e7e7ffffffffff |
|
VISUAL
dHash
|
f04d4d4970020000 |
|
VISUAL
wHash
|
0004253d3d3d3f3f |
|
VISUAL
colorHash
|
07208008041 |
|
VISUAL
cropResistant
|
0100d0d1d1c30000,0c4d4d614c000000,0000000000000000,70b89058448a6c72 |
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 45 techniques to evade detection by security scanners and make reverse engineering more difficult.