Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C0F2853933083D7DA54B8BE4F7A1BB78527DD286EA1FD068A6BC516157C3C84AC272C4 |
|
CONTENT
ssdeep
|
768:I78mzTYT+TsYgHacrbjjjjjjjjjZjjjjatv0gvxvuvrvfOfzkjxsAsC04:lp/jjjjjjjjjZjjjjycgJ2Tf |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ed6961929696d3c1 |
|
VISUAL
aHash
|
ff81919fffffffe6 |
|
VISUAL
dHash
|
283333241317220c |
|
VISUAL
wHash
|
0080819bff83ffe6 |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
283333241317220c,00c8009098a4a410 |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.