Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T171C11F256244422F13338AC4E5D0AF1A7EC3F34DC1895914EAFC06994FCBEA6B866DF4 |
|
CONTENT
ssdeep
|
96:8LdDNSXmPz/GSTSTLSycGe1STSTcHbQNfOlS8jYiZeQOWUd1ZsMZXZRZOZVw/tSF:89reT3ecbQD88CeQQldDscS |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d92c66b219cc8d73 |
|
VISUAL
aHash
|
0080d8d8f8fcfce0 |
|
VISUAL
dHash
|
0000323230300000 |
|
VISUAL
wHash
|
80c0d8d8f8fcfcf0 |
|
VISUAL
colorHash
|
000000001c0 |
|
VISUAL
cropResistant
|
0000191918180000,0000323230300000 |
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 20 techniques to evade detection by security scanners and make reverse engineering more difficult.