Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BCA37933411875274437C6D130A55B3BE2E6D95FFAA70A010EECD7EA1BFACA0B45B11A |
|
CONTENT
ssdeep
|
1536:VELz4NP/y9svbliCdUnwiFtiuCa28y2O9:8mAmh |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9247f512cd38b86d |
|
VISUAL
aHash
|
00200000000404ff |
|
VISUAL
dHash
|
cccc48c8cccc2d94 |
|
VISUAL
wHash
|
04fe30781c0e0fff |
|
VISUAL
colorHash
|
39c00008000 |
|
VISUAL
cropResistant
|
c2c3c3cdcdc3c3c2,09009081303080a0,8ccc48c0c8cccc2d |
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 54 techniques to evade detection by security scanners and make reverse engineering more difficult.