Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A273657152427A3F149342E5C324D36AD3CBD609C7A7898A97E8836F37C6DA0EC39974 |
|
CONTENT
ssdeep
|
1536:fiuXfUPDc4hX0H49YUzxywj0e2G8WlNThX0TxVuz8W+:eEZUA0ZNlEg+ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d2516c36969eb664 |
|
VISUAL
aHash
|
00003c7e7effd1ff |
|
VISUAL
dHash
|
9493d0d0cccc3387 |
|
VISUAL
wHash
|
00003c7e7eff91e3 |
|
VISUAL
colorHash
|
06010000e00 |
|
VISUAL
cropResistant
|
d0c8d4cccc33271c,8c93d3d3ccc8d4d4,4561417971690141,b435554a2dadcdc4,00454d71714d4582 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)