Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CCF1DCF1D444ED37435386D5A7B5AB0BB3A2C389CA031A44A3F4C3AB5FCACA0CB51599 |
|
CONTENT
ssdeep
|
96:Tko8fnBOknzDJ1tkzPSt8v67ZD5w57SS8ctmMTlX7FEtfXkdHF0xX6z/S0fqbR:Qo8fngknzDJ1UPSt8i7w5ZYMpXVXzbqV |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b9b9c6c6389a06bc |
|
VISUAL
aHash
|
ffc3cfc3c3ffff00 |
|
VISUAL
dHash
|
231b1b1b1b400000 |
|
VISUAL
wHash
|
f3c1c18181ffff00 |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
231b1b1b1b260002,4b5b13132303030f,0000000000000000 |
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.