Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T105E297D391C050BE1997839199247F99F3C2805CCB654ED4EABFC08AE5C9EF125B638A |
|
CONTENT
ssdeep
|
384:A/tQ3vK+6vV5tPxV5MV/V/4gtol5MGJZlMFgZgtj9Kp9lahqT6yvRk:OQSVj9xjiV/4gtoYGJZqO9lahM6y5k |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b61c664c47cd6399 |
|
VISUAL
aHash
|
0000ffffffe7ffe7 |
|
VISUAL
dHash
|
682c08c0b48c0e4c |
|
VISUAL
wHash
|
000686fedfc383e7 |
|
VISUAL
colorHash
|
07000038000 |
|
VISUAL
cropResistant
|
0800080c0c100024,0c0cc0c08c8c2e4c,606060b2226c6060,d2d35aad2ed4d0d2,71717913192bb0d0 |
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 971 techniques to evade detection by security scanners and make reverse engineering more difficult.