Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14FF195A2D054DD360B1281C6FBF67B2EBAF6C215CB01098492F843BE97DBD62C71295D |
|
CONTENT
ssdeep
|
96:TkLjz3oz8B43eSTYh3AwvFhelXhHFIeRXqX/4t7iLST5+AT431:QLjz3oz8B4rMhizhkXQ82P8F |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b3dc8c730ccc01ef |
|
VISUAL
aHash
|
ffcfffefe7e7e73f |
|
VISUAL
dHash
|
8c2c202c4d4d0cf0 |
|
VISUAL
wHash
|
3c848080e7e7e700 |
|
VISUAL
colorHash
|
07000000c40 |
|
VISUAL
cropResistant
|
8c2c202c4d4d0cf0,0c2cccccccec7a0d |
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 63 techniques to evade detection by security scanners and make reverse engineering more difficult.