Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14F1261A1D454DD36071281C6B7F57B6BB6A2C309CB060A8053F853AFA7CECA0CB225DD |
|
CONTENT
ssdeep
|
96:TkaYUYMJ2zHO7fSTiUYwBqwvFpepXFHFLbe5XTHFaexX/X/Fxyt7AgOt7AB6Fo+j:Qo2zHO2OUYw63U1bZXXyBOGIC8F |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
eca41b937b24ec13 |
|
VISUAL
aHash
|
fffffbffffff0000 |
|
VISUAL
dHash
|
003626260800c020 |
|
VISUAL
wHash
|
00d3c3d3ffff0000 |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
0036362626000400,0000000000c02020 |
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.