Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BAA38933411875274437C6D530A55B3BE2E6C95FFAA70A010EECD7EA1BFACA0B45B11A |
|
CONTENT
ssdeep
|
1536:FyULz4NP/y9svbliCdDPxMFFtiuCa28y2O9:w6mAKZMG |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9247f412cd38b56d |
|
VISUAL
aHash
|
00200000000404ff |
|
VISUAL
dHash
|
dccc48c0cccc0dd4 |
|
VISUAL
wHash
|
0efc20782c0e0fff |
|
VISUAL
colorHash
|
39c00008000 |
|
VISUAL
cropResistant
|
09009081303080a0,9ccc48c0c8cccc1d |
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.