Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17AD2B831A1402B3F425783CDB751F76EE2E39649EA46095643FD832D87E7DA0EA3341A |
|
CONTENT
ssdeep
|
768:0Y9Sky5N1uqx+tMs8PZvweu0XDPe83VtVKrTivE6GN+5i/fuafUXz0ZwuKqNP98P:0YVqx+tMs8PZvwB2DGGVtEfiM6GN+5Gw |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d343dd38bd699488 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
d8c8cccadc0c8200 |
|
VISUAL
wHash
|
00fc7c600604ffff |
|
VISUAL
colorHash
|
07000180001 |
|
VISUAL
cropResistant
|
0080900458988000,d0c8cccccabc0c0c |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.