Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1ACC3BD11F442986B022780D4B5257FDA7686F70FCA49CE802BB9C356AFDFD70BE161A4 |
|
CONTENT
ssdeep
|
1536:xsBzNvUe4IdUeRjdUeM62UeLyBUePXCUePBCUePRCUeP2CUePokUemnG2UewICUs:1 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
afcad0972fe09039 |
|
VISUAL
aHash
|
fdb9f9a181bfe9cb |
|
VISUAL
dHash
|
796323676f601b13 |
|
VISUAL
wHash
|
fd91a1a181bfc989 |
|
VISUAL
colorHash
|
07400010040 |
|
VISUAL
cropResistant
|
796323676f601b13,cccc714905414141,0b6a2a1a088ac292,e1a0a0a020a998d0 |
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 29 techniques to evade detection by security scanners and make reverse engineering more difficult.