Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E493D0309250562549C3A7C4EFF2939B41349345CAA30DDEFBE8836B6B8FD9CCB16526 |
|
CONTENT
ssdeep
|
1536:a/efc6SMsIxfSrMWMeLkSTzdldy1y/kE783H/5hGiLCKRfGKXH4nwE7ioqn7Sq:a/effGLdTGg783HVoen7v |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c91ca633b3cc89bc |
|
VISUAL
aHash
|
460018180808ffff |
|
VISUAL
dHash
|
8414b3d0d8d0b280 |
|
VISUAL
wHash
|
ff0018180868ffff |
|
VISUAL
colorHash
|
01040000c00 |
|
VISUAL
cropResistant
|
0004104c4d1c1000,e8cc8e9e9b2aeefe,dd8e6e7cecd131b1,f232b24a420080e0,9414b2f0d0dad8f2 |
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 298 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)