Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T165234B726332B87843DB91EEE7382E46B2C25899F8C74554F1C95ACD13C3C846297BB4 |
|
CONTENT
ssdeep
|
768:abGm+EsZx8/G88W61X4Q/DawtMLBywDMLBCwZUcix+y9dQpUDF1E56ITmHDLBAB/:abGm+EsZ/8rFQ/DawtMLBywDMLBCwZUq |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cd1ba24f99a466b8 |
|
VISUAL
aHash
|
000000000830ffff |
|
VISUAL
dHash
|
6b68323330600410 |
|
VISUAL
wHash
|
ff000018183cffff |
|
VISUAL
colorHash
|
3a601000080 |
|
VISUAL
cropResistant
|
00000c0c0c080000,6400600000000000,a368f03131b23060 |
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 18 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)