Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16C51DB2450833537B35B4DC869529B1B35DB831DCA975814A3FC9BE98BFAC84EC65406 |
|
CONTENT
ssdeep
|
48:TxvVG0Y+GJ45e47CXfmT9cck1LU4foT3ACX6Ua4zQB4miUh4095pQ:T9VGS5e46fRvJUrwRJnJhpDpQ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d9a6736666992626 |
|
VISUAL
aHash
|
1818181818181818 |
|
VISUAL
dHash
|
b2b2b2b2b2b2b2b2 |
|
VISUAL
wHash
|
de9e9898d8d8d858 |
|
VISUAL
colorHash
|
31000000c00 |
|
VISUAL
cropResistant
|
cc8eb6a0313b383e,b2b2b2b2b2b2b2b2 |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.