Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T106A3CD23421975274437C2C1346A6B3BD5E6999FFAE70A000EECC7FA6BF9C90741B619 |
|
CONTENT
ssdeep
|
1536:gI9N/0G8HVJ03Pocccrz39DB59dBbjNNsBHa5BpfpeJbd6heJEJspO9dh79QF2Je:6lUMNmKj |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c2613e38c9e4c6ed |
|
VISUAL
aHash
|
e0e070707844c0fc |
|
VISUAL
dHash
|
88d8c7c3d1ad9260 |
|
VISUAL
wHash
|
e0e870707864eefc |
|
VISUAL
colorHash
|
30601008000 |
|
VISUAL
cropResistant
|
88d8c7c3d1ad9260 |
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 113 techniques to evade detection by security scanners and make reverse engineering more difficult.