Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T146B37833411875274437C6D530A55B3BE2E6DA4FFA970A010EECD7EA1BFACA0B45B11A |
|
CONTENT
ssdeep
|
1536:+DMLz4NP/y9svbliCdTv7YFtiuCa28y2O9:sSmAA7L |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d361ed36bd699041 |
|
VISUAL
aHash
|
00006000040470ff |
|
VISUAL
dHash
|
98c8c0caccccc398 |
|
VISUAL
wHash
|
006c7838060effff |
|
VISUAL
colorHash
|
31000038000 |
|
VISUAL
cropResistant
|
04324c4d4d4c1208,d004800158588090,9888c0c0eaccccc3 |
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.
Pages with identical visual appearance (based on perceptual hash)