Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T157024533A014C81A5EABE58DF6C0E688619BC34AFB314483A2D461BF6BC9DF4597137C |
|
CONTENT
ssdeep
|
96:VY7GCfaR1szcY+ZycY7aFIlKbKTzlnJazHlnszflnlzufMmORR1E8VConLT5VfMU:OKYcxycC6mKbK3vabOTvCfMmUU8VCo7 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b333ccccc0cc62f3 |
|
VISUAL
aHash
|
ffc7c747c7c7ffff |
|
VISUAL
dHash
|
9c1c4ccc4d8d0000 |
|
VISUAL
wHash
|
0707070707073f3e |
|
VISUAL
colorHash
|
07000000038 |
|
VISUAL
cropResistant
|
9c1c4ccc4d8d0000,6d4151cdc4566141,2a9668706c96e800 |
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 3 techniques to evade detection by security scanners and make reverse engineering more difficult.