Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T187543B89F250343141A362E4B43F160AB2772514550BC468F27AE1DE1DBEDCA627FEBE |
|
CONTENT
ssdeep
|
6144:ep8fIwlpIqGL7miKaxSUE879VEXQ7KyU1hFl:arRxSUEM9VEgnUZl |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ed13134b6c6c1793 |
|
VISUAL
aHash
|
00fffff1f1f1f1f1 |
|
VISUAL
dHash
|
d2d8072727232327 |
|
VISUAL
wHash
|
0001f1f1f1f1f1f1 |
|
VISUAL
colorHash
|
0f000000e00 |
|
VISUAL
cropResistant
|
080f272723232327,2cc4c421c8d8d820,008044a0a9a8a450 |
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 647 techniques to evade detection by security scanners and make reverse engineering more difficult.