Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1286132756154383B1603C9E5B1A1776EB4AEC30DCF078C84F7EAA2D99FC8C634D102A8 |
|
CONTENT
ssdeep
|
48:TxbNmTNMeZM5pWZfI/UhpAN08Eq1kHUk96BY0KM4/Y1JKjE:TSZTW2UEq1kHT/Y1c4 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a95656a9792c52ad |
|
VISUAL
aHash
|
003c000303030303 |
|
VISUAL
dHash
|
06684c333b1b034b |
|
VISUAL
wHash
|
fffec01b0b1b0303 |
|
VISUAL
colorHash
|
38000c00000 |
|
VISUAL
cropResistant
|
8084801706818298,06684c333b1b034b |
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 79 techniques to evade detection by security scanners and make reverse engineering more difficult.