Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1703294705268AD3E416380DAE37A272E30DA929EDF8F030097ED63F916D7C59FD26095 |
|
CONTENT
ssdeep
|
192:MGET9/XTir1uofsh3l9TMguqTlchwTqKYDDcTjWzIIUA3/TzvyhiNQC:MGI9rir1uofsh3/MguKlchYqzDc6zIIv |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d288afa5dac92d34 |
|
VISUAL
aHash
|
ffff18fcc4e6e4f0 |
|
VISUAL
dHash
|
622db5b18c8ec829 |
|
VISUAL
wHash
|
fbfb00fcc46624e0 |
|
VISUAL
colorHash
|
03000180000 |
|
VISUAL
cropResistant
|
74a49cf989d4e9ab,622db5b18c8ec829 |
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 179 techniques to evade detection by security scanners and make reverse engineering more difficult.