Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15B3321319040D82B42F796DC6537636A62E6834ACA43058AFAF9C3ED1FDBD6CD933215 |
|
CONTENT
ssdeep
|
1536:k4ob5U1710Fj0S+09XT5Xyw4aKqJAAwXfLb8KQJNVvjd7Qu0IsIxt79F:tS+00fL0Ld7Z0Ix7T |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c6d7a8e2de8f0074 |
|
VISUAL
aHash
|
ffff003c00000000 |
|
VISUAL
dHash
|
49c9e468d4c5cb35 |
|
VISUAL
wHash
|
ffff3ebf74000000 |
|
VISUAL
colorHash
|
0b400e00000 |
|
VISUAL
cropResistant
|
0100615959210081,00001ac4e4641200,c4e46844d5cb4b35 |
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 67 techniques to evade detection by security scanners and make reverse engineering more difficult.