Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16C932AA43A59F6A25AF3439310DF1103B378152B540E4D206350EDEEB6BDC9BA067FDA |
|
CONTENT
ssdeep
|
1536:oNeJaTVq53QlHxh8N6g8XXhjaPnQWT+960uJ+piS:uTj/mN6ZXt1967+pv |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b3a2cc993366cc99 |
|
VISUAL
aHash
|
ffe7ffe77e663c18 |
|
VISUAL
dHash
|
e8ccd04cd0cce040 |
|
VISUAL
wHash
|
ffe77e667e240000 |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
e8ccd04cd0cce040 |
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 17 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)