Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14A234BB26722B8A843DB91EEF7382D56F2D1489DF8C74514F5C95A8E13C3C806297BB4 |
|
CONTENT
ssdeep
|
768:anBzB4Bd+EsZx8/G8c4IDawZMDB7MwyMDB7Fr82+/9dtZkDieE565TmHEnkvdhfc:ag+EsZ/8nIDawZMDBwwyMDBV82+/9dty |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bf3f3fd0c0c0c074 |
|
VISUAL
aHash
|
810081ffffffffff |
|
VISUAL
dHash
|
7f716d201f0d2317 |
|
VISUAL
wHash
|
000000ffc3ffffc3 |
|
VISUAL
colorHash
|
06000000038 |
|
VISUAL
cropResistant
|
7f716d201f0d2317,ffdff3b3fdf9ffff |
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 18 techniques to evade detection by security scanners and make reverse engineering more difficult.